fr: votation federal

de: abstimmung national

it: nazionale votazione

rm: Resultats finals da la votaziun federala "Volksinitiative vom 23. Januar 2009 «Sicheres Wohnen im Alter» ", 23 da settember 2012, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 23. Januar 2009 «Sicheres Wohnen im Alter» ", 23 septembre 2012, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 23. Januar 2009 «Sicheres Wohnen im Alter» ", 23. September 2012, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 23. Januar 2009 «Sicheres Wohnen im Alter» ", 23 settembre 2012, Kanton Zug, suddivisi per municipalit.

nazionale

display_name: nazionale

plaun-naziunal

display_name: plaun-naziunal


maintainer: Staatskanzlei Zug

fr: federal votation

label: Formatbeschreibung

label: Description du format

label: Descrizione del formato

label: Descripziun dal format

state: active

type: dataset

media_type: text/csv

format: CSV

mimetype: text/csv

identifier: csv

media_type: application/json

format: JSON

mimetype: application/json

identifier: json

rm: Resultats finals da la votaziun federala "Änderung des Bundesgesetzes über den Allgemeinen Teil des Sozialversicherungsrechts (ATSG) (Gesetzliche Grundlage für die Überwachung von Versicherten)", 25 da november 2018, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Änderung des Bundesgesetzes über den Allgemeinen Teil des Sozialversicherungsrechts (ATSG) (Gesetzliche Grundlage für die Überwachung von Versicherten)", 25 novembre 2018, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Änderung des Bundesgesetzes über den Allgemeinen Teil des Sozialversicherungsrechts (ATSG) (Gesetzliche Grundlage für die Überwachung von Versicherten)", 25. November 2018, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Änderung des Bundesgesetzes über den Allgemeinen Teil des Sozialversicherungsrechts (ATSG) (Gesetzliche Grundlage für die Überwachung von Versicherten)", 25 novembre 2018, Kanton Zug, suddivisi per municipalit.

abstimmung

display_name: abstimmung

federal

display_name: federal

national

display_name: national

votation

display_name: votation

votazione

display_name: votazione

votaziun

display_name: votaziun

politics

fr: Politique

de: Politik

en: Politics

it: Politica

staatskanzlei-zug

de: Staatskanzlei Zug

de: Der Kanton Zug veröffentlicht hier schrittweise OGD-Datensätze der kantonalen Verwaltung.

political_level: canton

kanton-zug

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: ZG-Kt - Staatskanzlei - DCAT Harvester


it: votazione nazionale

rm: Resultats finals da la votaziun federala "Volksinitiative vom 18. Oktober 2016 «Mehr bezahlbare Wohnungen»", 9 da favrer 2020, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 18. Oktober 2016 «Mehr bezahlbare Wohnungen»", 9 février 2020, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 18. Oktober 2016 «Mehr bezahlbare Wohnungen»", 9. Februar 2020, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 18. Oktober 2016 «Mehr bezahlbare Wohnungen»", 9 febbraio 2020, Kanton Zug, suddivisi per municipalit.


rm: Resultats finals da la votaziun federala "Volksinitiative vom 17. Dezember 2013 «AHVplus: für eine starke AHV»", 25 da settember 2016, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 17. Dezember 2013 «AHVplus: für eine starke AHV»", 25 septembre 2016, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 17. Dezember 2013 «AHVplus: für eine starke AHV»", 25. September 2016, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 17. Dezember 2013 «AHVplus: für eine starke AHV»", 25 settembre 2016, Kanton Zug, suddivisi per municipalit.


fr: votation cantonal

de: kantonal abstimmung

it: votazione cantonale

rm: Resultats finals da la votaziun chantunala "Verfassungsänderungen zur Anpassung der Kantonsverfassung an das neue eidgenössische Prozessrecht - d. Zu den Bestimmungen betreffend richterliche Gewalt und Rechtspflege", 28 da november 2010, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "Verfassungsänderungen zur Anpassung der Kantonsverfassung an das neue eidgenössische Prozessrecht - d. Zu den Bestimmungen betreffend richterliche Gewalt und Rechtspflege", 28 novembre 2010, Kanton Zug, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Verfassungsänderungen zur Anpassung der Kantonsverfassung an das neue eidgenössische Prozessrecht - d. Zu den Bestimmungen betreffend richterliche Gewalt und Rechtspflege", 28. November 2010, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Verfassungsänderungen zur Anpassung der Kantonsverfassung an das neue eidgenössische Prozessrecht - d. Zu den Bestimmungen betreffend richterliche Gewalt und Rechtspflege", 28 novembre 2010, Kanton Zug, suddivisi per municipalit.

cantonal

display_name: cantonal

cantonale

display_name: cantonale

kantonal

display_name: kantonal

plaun-chantunal

display_name: plaun-chantunal


fr: cantonal votation

it: cantonale votazione

rm: Resultats finals da la votaziun chantunala "Verfassungsinitiative für das Notenobligatorium und gegen Schulexperimente ohne Noten", 11 da mars 2012, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "Verfassungsinitiative für das Notenobligatorium und gegen Schulexperimente ohne Noten", 11 mars 2012, Kanton Zug, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Verfassungsinitiative für das Notenobligatorium und gegen Schulexperimente ohne Noten", 11. März 2012, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Verfassungsinitiative für das Notenobligatorium und gegen Schulexperimente ohne Noten", 11 marzo 2012, Kanton Zug, suddivisi per municipalit.


de: national abstimmung

rm: Resultats finals da la votaziun federala "Bundesgesetz vom 25. September 2020 über die gesetzlichen Grundlagen für Verordnungen des Bundesrates zur Bewältigung der Covid-19-Epidemie (Covid-19-Gesetz)", 13 da zercladur 2021, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Bundesgesetz vom 25. September 2020 über die gesetzlichen Grundlagen für Verordnungen des Bundesrates zur Bewältigung der Covid-19-Epidemie (Covid-19-Gesetz)", 13 juin 2021, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Bundesgesetz vom 25. September 2020 über die gesetzlichen Grundlagen für Verordnungen des Bundesrates zur Bewältigung der Covid-19-Epidemie (Covid-19-Gesetz)", 13. Juni 2021, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Bundesgesetz vom 25. September 2020 über die gesetzlichen Grundlagen für Verordnungen des Bundesrates zur Bewältigung der Covid-19-Epidemie (Covid-19-Gesetz)", 13 giugno 2021, Kanton Zug, suddivisi per municipalit.


rm: Resultats finals da la votaziun chantunala "«Entlastungsprogramm 2015–2018 (Paket 2), Rahmenbeschluss für Gesetzesänderungen»", 27 da november 2016, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "«Entlastungsprogramm 2015–2018 (Paket 2), Rahmenbeschluss für Gesetzesänderungen»", 27 novembre 2016, Kanton Zug, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "«Entlastungsprogramm 2015–2018 (Paket 2), Rahmenbeschluss für Gesetzesänderungen»", 27. November 2016, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "«Entlastungsprogramm 2015–2018 (Paket 2), Rahmenbeschluss für Gesetzesänderungen»", 27 novembre 2016, Kanton Zug, suddivisi per municipalit.


zugverkehrsinformationen

maintainer: Ansprechsstelle für Daten

title_for_slug: zugverkehrsinformationen

de: verkehr dienstleistung

de: json

fr: Informations sur la circulation des trains (json)

en: Rail traffic information (json)

de: Zugverkehrsinformationen (json)

it: Informazioni sul traffico dei treni (json)

de: csv

fr: Informations sur la circulation des trains (csv)

de: Zugverkehrsinformationen (csv)

en: Rail traffic information (csv)

it: Informazioni sul traffico dei treni (csv)

fr: Les informations du trafic ferroviaire sont mises à jour toutes les 5 minutes. Elles contiennent les principales annonces concernant le trafic ferroviaire en Suisse.

en: Rail traffic information is updated every 5 minutes. It contains the most important messages about rail services in Switzerland.

de: Bahnverkehrsinformationen werden alle 5 Minuten aktualisiert. Sie enthalten die wichtigsten Meldungen zum Bahnverkehr in der Schweiz.Rail traffic information is updated every 5 minutes. They contain the most important information on rail traffic in Switzerland.

it: Le informazioni sul traffico ferroviario vengono aggiornate ogni 5 minuti. Esse contengono le segnalazioni più importanti sul traffico ferroviario in Svizzera.

dienstleistung

display_name: dienstleistung

verkehr

display_name: verkehr

mobility

fr: Mobilité et transports

de: Mobilität und Verkehr

en: Mobility and Transport

it: Mobilità e trasporti

schweizerische-bundesbahnen-sbb

fr: Chemins de fer fédéraux suisses CFF

de: Schweizerische Bundesbahnen SBB

en: Swiss Federal Railways SBB

it: Ferrovie federali svizzere FFS

fr:
Les CFF sont l’un des piliers d’une mobilité durable en Suisse. Chaque jour, les CFF acheminent 1,18 million de voyageurs et 210 000 tonnes de marchandises, de manière ponctuelle et respectueuse de l’environnement.

Le chemin de fer crée des liens à travers toute la Suisse, par-delà les frontières linguistiques, culturelles et politiques. Du point de vue économique et social, il contribue ainsi à la qualité de vie et à la compétitivité de notre pays. Mais les CFF ne sont pas qu’une entreprise de chemin de fer moderne et performante. En leur qualité d’employeur, de commanditaire, de propriétaire et de gérant d’immeubles, ils sont responsables de la Suisse, de ses régions et de l’environnement.

de:
Die SBB ist das Rückgrat einer nachhaltigen Mobilität in der Schweiz. Täglich sind 1,18 Millionen Reisende und 210'000 Tonnen Güter mit der SBB sicher, pünktlich und umweltfreundlich unterwegs.

Die Eisenbahn verbindet die Schweiz über alle sprachlichen, kulturellen und politischen Grenzen hinweg und leistet in wirtschaftlicher und gesellschaftlicher Hinsicht einen überaus wertvollen Beitrag an die Lebensqualität und Wettbewerbsfähigkeit unseres Landes. Die SBB ist aber weit mehr als ein modernes und leistungsfähiges Bahnunternehmen. Auch als Arbeits- und Auftraggeberin sowie als Immobilienbesitzerin und ‑bewirtschafterin übernimmt sie Verantwortung für die Schweiz, ihre Regionen und die Umwelt.

en:
SBB is the backbone of sustainable mobility in Switzerland. Every day, it safely transports 1.18 million passengers and 210,000 tonnes of freight on time and in an environmentally friendly manner.

The railway transcends all linguistic, cultural and political boundaries to bring Switzerland together, and in economic and social terms, it makes a vital contribution to the quality of life and competitiveness of our country. However, SBB is much more than just a modern, efficient railway company. As an employer and contractor, a property owner and a real estate manager, SBB takes responsibility for Switzerland, its regions and the environment.

it:
Le FFS assumono la loro responsabilità.

Consigliare ad altri

Condividere

Le FFS sono la colonna portante della mobilità sostenibile in Svizzera. Ogni giorno 1,18 milioni di viaggiatori e quasi 210 000 tonnellate di merci viaggiano con le FFS in modo sicuro, puntuale e rispettoso dell'ambiente.

La ferrovia unisce la Svizzera oltre i confini linguistici, culturali e politici e dal punto di vista economico e sociale assicura un contributo oltremodo prezioso alla qualità di vita e alla competitività del nostro Paese. Le FFS tuttavia sono ben più di un'impresa ferroviaria moderna e altamente performante. Esse assumono la loro responsalibità per la Svizzera, le sue regioni e l'ambiente anche come datore di lavoro, di committenti, così come di proprietarie e amministratrici di fondi e di immobili.

political_level: other

value: SBB - DCAT Harvester

de: Zugverkehrsinformationen

en: Rail traffic information

it: Informazioni sul traffico dei treni


fr: federal votation

de: abstimmung national

rm: Resultats finals da la votaziun federala "Volksinitiative vom 23. Februar 2009 «Für den Schutz vor Waffengewalt»", 13 da favrer 2011, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 23. Februar 2009 «Für den Schutz vor Waffengewalt»", 13 février 2011, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 23. Februar 2009 «Für den Schutz vor Waffengewalt»", 13. Februar 2011, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 23. Februar 2009 «Für den Schutz vor Waffengewalt»", 13 febbraio 2011, Kanton Zug, suddivisi per municipalit.

politics

de: Politik

it: Politica

staatskanzlei-zug

de: Staatskanzlei Zug

de: Der Kanton Zug veröffentlicht hier schrittweise OGD-Datensätze der kantonalen Verwaltung.


elevator-condition

title_for_slug: elevator-condition

de: infrastruktur barrierefrei bahnhof immobilien

fr: État de l’ascenseur (csv)

en: Elevator condition (csv)

de: Aufzugzustand (csv)

it: Condizioni degli ascensori (csv)

fr: État de l’ascenseur (json)

de: Aufzugzustand (json)

en: Elevator condition (json)

it: Condizioni degli ascensori (json)

fr: État des ascenseurs et escaliers mécaniques dans les gares CFF, informations actuellement disponibles pour les gares de Zurich.Mise à jour toutes les 5 minutes

de: Zustand der Aufzüge und Rolltreppen in SBB Bahnhöfen, aktuell werden Bahnhöfe in Zürich abgedeckt.Aktualisierung alle 5 MinutenCondition of lifts and escalators in SBB stationsUpdated every 5 minutes

en: Condition of elevators and escalators in SBB stations; currently covers stations in Zurich.Updated every 5 minutes

it: Condizioni degli ascensori e delle scale mobili nelle stazioni FFS. Al momento sono coperte le stazioni di Zurigo.Aggiornamento ogni 5 minuti.

bahnhof

display_name: bahnhof

barrierefrei

display_name: barrierefrei

immobilien

display_name: immobilien

infrastruktur

display_name: infrastruktur

fr: État de l’ascenseur

en: Elevator condition

de: Aufzugzustand

it: Condizioni degli ascensori


de: infrastruktur bahnhof

de: geojson

fr: Wifi@Gare (geojson)

de: Wifi@Station (geojson)

it: WiFi@stazione (geojson)

de: json

fr: Wifi@Gare (json)

de: Wifi@Station (json)

it: WiFi@stazione (json)

de: csv

fr: Wifi@Gare (csv)

de: Wifi@Station (csv)

it: WiFi@stazione (csv)

de: shp

media_type: application/zip

fr: Wifi@Gare (shp)

de: Wifi@Station (shp)

it: WiFi@stazione (shp)

format: ZIP

mimetype: application/zip

fr: Information sur les gares équipées du WiFi public des CFF.

en: Information about stations that are equipped with SBB public WLAN.

de: Information über Bahnhöfen, welche mit einem öffentlichen W-Lan der SBB ausgerüstet sind.Which train station are connected to the public Wifi of SBB.

it: Informazioni sulle stazioni dotate di una WLAN pubblica delle FFS.


fr: Halte: services (json)

de: Haltestelle: Services (json)

en: Stop: services (json)

it: Fermata: servizi (json)

fr: Halte: services (csv)

en: Stop: services (csv)

de: Haltestelle: Services (csv)

it: Fermata: servizi (csv)

fr: Halte: services (shp)

de: Haltestelle: Services (shp)

en: Stop: services (shp)

it: Fermata: servizi (shp)

fr: Halte: services (geojson)

en: Stop: services (geojson)

de: Haltestelle: Services (geojson)

it: Fermata: servizi (geojson)

fr: Les grandes gares vous proposent une large gamme de services CFF ainsi que des horaires d’ouverture attractifs: guichet, distributeurs de billets, guichets pour billets événementiels, change, transfert d’argent, expédition des bagages, Agence de voyages CFF.

de: Die grossen Bahnhöfe bieten Ihnen umfassende SBB Services zu attraktiven Öffnungszeiten an: vom Billettschalter, den Billettautomaten, den Schaltern für Eventtickets, Geldwechsel, Bargeldtransfer und Gepäckaufgabe bis zum SBB Reisebüro.The major stations offer you comprehensive SBB services at attractive opening times: from ticket counters, ticket machines, ticket counters for event tickets, money exchange, cash transfers and baggage check-in to SBB travel agencies.

en: The major stations provide extensive SBB services with convenient opening hours: for ticket counters, ticket machines, counters for event tickets, currency exchange, money transfer and luggage registration and the SBB Travel Agency.

it: Le grandi stazioni offrono servizi FFS completi con interessanti orari di apertura, che spaziano dallo sportello biglietti, dai distributori automatici di biglietti e dagli sportelli per i biglietti per eventi, al cambio di valuta, al trasferimento di contanti e alla spedizione dei bagagli, fino ad arrivare all’agenzia viaggi FFS.

mobility

de: Mobilität und Verkehr

schweizerische-bundesbahnen-sbb

de: Schweizerische Bundesbahnen SBB

de:
Die SBB ist das Rückgrat einer nachhaltigen Mobilität in der Schweiz. Täglich sind 1,18 Millionen Reisende und 210'000 Tonnen Güter mit der SBB sicher, pünktlich und umweltfreundlich unterwegs.

Die Eisenbahn verbindet die Schweiz über alle sprachlichen, kulturellen und politischen Grenzen hinweg und leistet in wirtschaftlicher und gesellschaftlicher Hinsicht einen überaus wertvollen Beitrag an die Lebensqualität und Wettbewerbsfähigkeit unseres Landes. Die SBB ist aber weit mehr als ein modernes und leistungsfähiges Bahnunternehmen. Auch als Arbeits- und Auftraggeberin sowie als Immobilienbesitzerin und ‑bewirtschafterin übernimmt sie Verantwortung für die Schweiz, ihre Regionen und die Umwelt.

fr: Halte: services

en: Stop: services

de: Haltestelle: Services

it: Fermata: servizi


de: transferiert infrastruktur

fr: Halte: revêtement du quai (json)

en: Stop: platform surface (json)

de: Haltestelle: Perronoberfläche (json)

it: Fermata: superficie del marciapiede (json)

fr: Halte: revêtement du quai (shp)

de: Haltestelle: Perronoberfläche (shp)

en: Stop: platform surface (shp)

it: Fermata: superficie del marciapiede (shp)

de: geojson

fr: Halte: revêtement du quai (geojson)

en: Stop: platform surface (geojson)

de: Haltestelle: Perronoberfläche (geojson)

it: Fermata: superficie del marciapiede (geojson)

fr: Halte: revêtement du quai (csv)

de: Haltestelle: Perronoberfläche (csv)

en: Stop: platform surface (csv)

it: Fermata: superficie del marciapiede (csv)

fr: Le revêtement du quai correspond à la zone de circulation du quai; elle est en général séparée de la voie par la bordure du quai.

de: Die Perronoberfläche ist die begehbare Fläche des Perronkörpers, sie wird in der Regel durch die Perronkante gegen das Gleis abgeschlossen. The platform surface is the part of the platform that people can walk on; it normally terminates in the platform edge which faces the tracks.

it: La superficie del marciapiede corrisponde alla superficie percorribile del marciapiede, viene solitamente delimitata verso il binario dal bordo del marciapiede.

transferiert

display_name: transferiert

mobility

fr: Mobilité et transports

it: Mobilità e trasporti

fr: Chemins de fer fédéraux suisses CFF

it: Ferrovie federali svizzere FFS

fr:
Les CFF sont l’un des piliers d’une mobilité durable en Suisse. Chaque jour, les CFF acheminent 1,18 million de voyageurs et 210 000 tonnes de marchandises, de manière ponctuelle et respectueuse de l’environnement.

Le chemin de fer crée des liens à travers toute la Suisse, par-delà les frontières linguistiques, culturelles et politiques. Du point de vue économique et social, il contribue ainsi à la qualité de vie et à la compétitivité de notre pays. Mais les CFF ne sont pas qu’une entreprise de chemin de fer moderne et performante. En leur qualité d’employeur, de commanditaire, de propriétaire et de gérant d’immeubles, ils sont responsables de la Suisse, de ses régions et de l’environnement.

it:
Le FFS assumono la loro responsabilità.

Consigliare ad altri

Condividere

Le FFS sono la colonna portante della mobilità sostenibile in Svizzera. Ogni giorno 1,18 milioni di viaggiatori e quasi 210 000 tonnellate di merci viaggiano con le FFS in modo sicuro, puntuale e rispettoso dell'ambiente.

La ferrovia unisce la Svizzera oltre i confini linguistici, culturali e politici e dal punto di vista economico e sociale assicura un contributo oltremodo prezioso alla qualità di vita e alla competitività del nostro Paese. Le FFS tuttavia sono ben più di un'impresa ferroviaria moderna e altamente performante. Esse assumono la loro responsalibità per la Svizzera, le sue regioni e l'ambiente anche come datore di lavoro, di committenti, così come di proprietarie e amministratrici di fondi e di immobili.

fr: Halte: revêtement du quai

de: Haltestelle: Perronoberfläche

en: Stop: platform surface

it: Fermata: superficie del marciapiede


notausgang-entlang-strecke

title_for_slug: notausgang-entlang-strecke

de: infrastruktur blaulicht

de: json

fr: Sortie de secours le long de la voie (json)

de: Notausgang entlang Strecke (json)

en: Emergency exits along the route (json)

it: Uscita di soccorso lungo la tratta (json)

de: csv

fr: Sortie de secours le long de la voie (csv)

de: Notausgang entlang Strecke (csv)

en: Emergency exits along the route (csv)

it: Uscita di soccorso lungo la tratta (csv)

fr: Sortie de secours le long de la voie (geojson)

en: Emergency exits along the route (geojson)

de: Notausgang entlang Strecke (geojson)

it: Uscita di soccorso lungo la tratta (geojson)

de: shp

fr: Sortie de secours le long de la voie (shp)

de: Notausgang entlang Strecke (shp)

en: Emergency exits along the route (shp)

it: Uscita di soccorso lungo la tratta (shp)

fr: Sorties de secours le long des voies dans les cloisons antibruit et anti-feu.

de: Notausgänge entlang der Strecken in Lärm- und Brandschutzwänden.Emergency exits along the routes in noise and fire protection walls.

it: Uscite di soccorso lungo le tratte in pareti antirumore e tagliafuoco.

blaulicht

display_name: blaulicht

en: Mobility and Transport

schweizerische-bundesbahnen-sbb

en: Swiss Federal Railways SBB

en:
SBB is the backbone of sustainable mobility in Switzerland. Every day, it safely transports 1.18 million passengers and 210,000 tonnes of freight on time and in an environmentally friendly manner.

The railway transcends all linguistic, cultural and political boundaries to bring Switzerland together, and in economic and social terms, it makes a vital contribution to the quality of life and competitiveness of our country. However, SBB is much more than just a modern, efficient railway company. As an employer and contractor, a property owner and a real estate manager, SBB takes responsibility for Switzerland, its regions and the environment.

fr: Sortie de secours le long de la voie

en: Emergency exits along the route

de: Notausgang entlang Strecke

it: Uscita di soccorso lungo la tratta


linie

title_for_slug: linie

de: infrastruktur published verkehr

fr: Réseau des lignes CFF (json)

de: Liniennetz der SBB (json)

en: SBB’s route network (json)

it: Rete di linee delle FFS (json)

fr: Réseau des lignes CFF (shp)

en: SBB’s route network (shp)

de: Liniennetz der SBB (shp)

it: Rete di linee delle FFS (shp)

fr: Réseau des lignes CFF (geojson)

de: Liniennetz der SBB (geojson)

en: SBB’s route network (geojson)

it: Rete di linee delle FFS (geojson)

fr: Réseau des lignes CFF (csv)

de: Liniennetz der SBB (csv)

en: SBB’s route network (csv)

it: Rete di linee delle FFS (csv)

fr: Réseau des lignes CFFToutes les installations sont associés à des lignes. Ces lignes correspondent également à celles de l’indicateur officiel.

de: Liniennetz der SBBSämtliche Anlagen werden an Linien verordnet. Diese Linien entsprechen ebenfalls denjenigen aus dem Kursbuch.SBB's route networkAll installations are ordered on lines. These lines also correspond to those in the timetable.

en: SBB’s route networkAll installations are ordered on lines. These lines also correspond to those found in the official timetable.

it: Rete di linee delle FFSTutti gli impianti vengono ordinati su linee, che corrispondono a quelle dell’orario ufficiale.

published

display_name: published

mobility

de: Mobilität und Verkehr

schweizerische-bundesbahnen-sbb

de: Schweizerische Bundesbahnen SBB

de:
Die SBB ist das Rückgrat einer nachhaltigen Mobilität in der Schweiz. Täglich sind 1,18 Millionen Reisende und 210'000 Tonnen Güter mit der SBB sicher, pünktlich und umweltfreundlich unterwegs.

Die Eisenbahn verbindet die Schweiz über alle sprachlichen, kulturellen und politischen Grenzen hinweg und leistet in wirtschaftlicher und gesellschaftlicher Hinsicht einen überaus wertvollen Beitrag an die Lebensqualität und Wettbewerbsfähigkeit unseres Landes. Die SBB ist aber weit mehr als ein modernes und leistungsfähiges Bahnunternehmen. Auch als Arbeits- und Auftraggeberin sowie als Immobilienbesitzerin und ‑bewirtschafterin übernimmt sie Verantwortung für die Schweiz, ihre Regionen und die Umwelt.

fr: Réseau des lignes CFF

de: Liniennetz der SBB

en: SBB’s route network

it: Rete di linee delle FFS


hohe-m-u-m

maintainer: Statistisches Amt des Kantons Zürich, Data Shop

title_for_slug: hohe-m-u-m

de: gemeinden geographie bezirke kantonzuerich

de: Höhe [m.ü.M.]

de: Höhe des Hauptsiedlungsgebietes, erhoben bei den Gemeinden 1995 (i.d.R. die Höhe des Dorfzentrums, der reformierten Kirche oder des Gemeindehauses)

bezirke

display_name: bezirke

gemeinden

display_name: gemeinden

geographie

display_name: geographie

kantonzuerich

display_name: kantonzuerich

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

statistisches-amt-kanton-zuerich

de: Statistisches Amt Kanton Zürich

de: Das Statistische Amt ist das Kompetenzzentrum für die öffentliche Statistik im Kanton Zürich. Wir versorgen Bevölkerung, Verwaltung, Politik, Gemeinden, Medien, Firmen und sonstige Organisationen mit qualitativ hochstehenden Daten, Informationen und Fakten zum Kanton Zürich. Inhaltlich arbeiten wir unabhängig und objektiv.

value: ZH-Kt Statistisches Amt - DCAT Harvester


name: Statistisches Amt des Kantons Zürich, Data Shop

label: Data Shop

de: Anfragestatistik des Data Shop im Statistischen Amt des Kantons Zürich ab 2015

de: Anfragestatistik des Data Shop im Statistischen Amt des Kantons Zürich - kontrollierte Vokabulare

de: Die Abteilung «Data Shop» des Statistischen Amts ist die Anlaufstelle für alle Fragen zu statistischen Informationen. Das Team bewirtschaftet das statistische Grundangebot des Kanton Zürich und bietet Nutzenden kostenlose Auskunft und Beratung zu Anfragen per Telefon oder E-Mail. Seit 2015 werden Anfragen mit Metadaten erfasst und in einer Anfragenstatistik archiviert.

national-economy

fr: Economie nationale

de: Volkswirtschaft

en: National economy

it: Economia


maintainer: Ueli Kramer

de: csv

de: Baugeräteliste / Baurelevante Maschinen dekarbonisiert (csv)

en: Construction equipment list / construction-relevant machines decarbonised (csv)

de: json

de: Baugeräteliste / Baurelevante Maschinen dekarbonisiert (json)

en: Construction equipment list / construction-relevant machines decarbonised (json)

de: Diese Liste bezweckt eine Übersicht über emissionslose oder emissionsarme Baumaschinen, welche entweder bereits auf dem Markt erhältlich oder nahe an der Marktreife sind.Die technischen Angaben dienen nicht nur als Anhaltspunkt für Nachahmer-Projekte, sondern können auch für die Planung der Energie- und Leistungsversorgung auf der Baustelle dienen.In künftigen Ausschreibungen wird die  die Emissionsfreiheit eingefordert. Dies als Massnahme zur Reduktion der Lärmbelastungen einerseits aber auch zur Verbesserung der Gesundheitsbelastungen der Mitarbeiter auf den Baustellen.  Weiter wird durch die Elektrifizierung und somit Dekarbonisierung von Baustellen ein Beitrag zur Erreichung der Klimaziele geleistet und somit die CO2-Emissionen gesenkt bis sogar ganz eliminiert.Kontaktiert data@sbb.ch für Ergänzungen und helft uns und der Branche via dieser Liste die Zukunft der emissionsfreien Baustellen rasch zu erreichen.

baustellen

display_name: baustellen

construction-side

display_name: construction-side

electrification

display_name: electrification

elektrifizierung

display_name: elektrifizierung

infrastructure

display_name: infrastructure

mobility

fr: Mobilité et transports

it: Mobilità e trasporti

schweizerische-bundesbahnen-sbb

fr: Chemins de fer fédéraux suisses CFF

it: Ferrovie federali svizzere FFS


name: Fachstelle Open Government Data des Kantons Zürich

label: DCAT-AP CH – The Swiss Application Profile for Data Portals and Catalogues

label: Datenkatalog

de: API-Endpoint für Datensätze im Metadatenkatalog des Kantons Zürich

de: Enthält alle aktuell im Metadatenkatalog des Kantons Zürich enthaltenen Datensätze mit ihren Metadaten: (1) häufig nachgefragte Excel-Tabellen, (2) Indikatoren aus dem Gemeindeporträt, (3) Publikationen des Statistischen Amts sowie (4) offene Behördendaten des Kantons Zürich (ausgenommen offene Geodaten).

de: Enthält alle aktuell im Metadatenkatalog des Kantons Zürich enthaltenen Datensätze mit ihren Metadaten. Folgt dem Metadaten-Standard 'DCAT-AP CH v1' (eCH-0200).

fachstelle-ogd-kanton-zuerich

de: Fach- und Koordinationsstelle Open Government Data Kanton Zürich

de: Die Fach- und Koordinationsstelle Open Government Data (OGD) ist das kantonale Kompetenzzentrum für offene Behördendaten im Statistischen Amt. Wir unterstützen die Organisationseinheiten und Organe des Kantons bei der Bereitstellung ihrer nicht schützenswerten Daten als Open Data.

value: ZH-Kt Fachstelle OGD - DCAT Harvester

de: Web Service des Metadatenkatalogs des Kantons Zürich


maintainer: Tamara Bobst

de: auslanderinnen schweizerinnen

de: Mittlere Wohnbevölkerung nach Nationalität, Gemeinde und Jahr (ab 1980) (csv)

license: CC BY 3.0 CH

de: Mittlere Wohnbevölkerung nach Nationalität, Gemeinde und Jahr (ab 1980) (json)

de: Kantonale BevölkerungsstatistikDie mittlere Wohnbevölkerung entspricht dem gewichteten Durchschnitt der Quartalsbestände aus der kantonalen Bevölkerungsstatistik. Sie hat damit einen anderen zeitlichen Bezug als der in der kantonalen Bevölkerungsstatistik übliche Jahresendbestand. Die mittlere Wohnbevölkerung dient als Grundlage, wenn das Mittel der im Kanton niedergelassenen Personen über das gesamte Jahr interessiert und wird beispielsweise für die Berechnung des Baselbieter Finanzausgleichs verwendet. Die Berechnungsformel lautet von unten nach oben gerechnet wie folgt: ((1 x 4. Quartal Vorjahr) + (2 x 1. Quartal Jahr) + (2 x 2. Quartal Jahr) + (2 x 3. Quartal Jahr) + (1 x 4. Quartal Jahr)) / 8.

auslanderinnen

display_name: auslanderinnen

schweizerinnen

display_name: schweizerinnen

population

fr: Population

de: Bevölkerung

en: Population

it: Popolazione

kanton-basel-landschaft

fr: Canton de Bâle-Campagne

de: Kanton Basel-Landschaft

en: Canton of Basel-Country

it: Cantone di Basilea-Campagna

de:
Der Kanton Basel-Landschaft veröffentlicht nach und nach Open Government Datensätze von kantonalen Ämtern und Dienststellen.
Weitere Informationen unter https://ogd.bl.ch/

value: BL - DCAT


maintainer: Michael Bertschi

de: steuersatz steuerfuss

de: csv

de: Steuerfüsse und Steuersätze nach Gemeinde und Jahr (ab 1975) (csv)

de: Steuerfüsse und Steuersätze nach Gemeinde und Jahr (ab 1975) (json)

de: Statistik der Steuerfüsse und -sätze, Gebühren und Ersatzabgaben

steuerfuss

display_name: steuerfuss

steuersatz

display_name: steuersatz

finances

fr: Finances

de: Finanzen

en: Finances

it: Finanze


maintainer: Thomas Fricker

de: baueingabe bewilligungsverfahren

de: Baugesuche und Baubewilligungen nach Gebäudeart, Gemeinde und Jahr (ab 1991) (csv)

de: json

de: Baugesuche und Baubewilligungen nach Gebäudeart, Gemeinde und Jahr (ab 1991) (json)

de: Achtung: Die Daten können sich rückwirkend ändern!

baueingabe

display_name: baueingabe

bewilligungsverfahren

display_name: bewilligungsverfahren

construction

fr: Construction, logement

de: Bau- und Wohnungswesen

en: Construction and housing

it: Costruzione e abitazione


intratrait

maintainer: Christian Rixen

title_for_slug: intratrait

en: elevation-gradient climate-change elevation-range cold-adapted-plants plant-traits neighbour-interactions

media_type: CSV

en: Plant trait data along elevation gradients on mountains

media_type: R

format: SERVICE

en:
This data set was used to test whether species specialized to high elevations or with narrow elevational ranges show more conservative (i.e. less variable) trait responses across their elevational distribution, or in response to neighbours, than species from lower elevations or with wider elevational ranges. We did so by studying intraspecific trait variation of 66 species along 40 elevational gradients in four countries (Switzerland, Australia, New Zealand, China) in both hemispheres. As an indication of potential neighbour interactions that could drive trait variation, we also analysed plant species’ height ratio, its height relative to its nearest neighbour.
The following traits and parameters were measured and are available in this data set:
As an indication of plant stature, we measured vegetative and generative height, where vegetative height was distance from soil to highest vegetative leaf and generative height was distance to the highest point on the reproductive shoot. As a measure of reproductive investment, we noted the presence of flowers on the randomly chosen individuals (see below). As a measure of individual and genet basal area, we measured individual plant and patch diameters, in two dimensions (along the largest diameter and perpendicular to it). In clonal plant species, plant diameter was equivalent to an individual rosette, whereas patch diameter referred to the whole genet and could represent the size of a tuft, tussock or cushion. For genera with more singular growth forms (e.g., some Gentiana species) plant and patch diameter were the same. The two diameter measurements were made at right angles, allowing estimates of patch and plant areas to be calculated as an ellipse (i.e., area = 0.5 a 0.5 b Π). All traits were measured on ten randomly selected individuals per site. Flower count data was considered in a binary fashion on a per individual basis (because for some species individuals only produce one flower when flowering) so that the presence or absence of flower(s) was a nominal value between 0 and 10 for each species at each site. We then collected at least three leaves (up to 30 for small and light leaves) from each of the first three individuals selected from each species for determination of leaf dry matter content (LDMC) and specific leaf area (SLA). For calculations of LDMC and SLA, fresh leaves were scanned on a flatbed scanner to determine leaf area. Leaves were then weighed on a balance to a precision of +/- 0.001g, prior to being air dried and reweighed with a balance to a precision of +/- 0.0001g. LDMC was calculated by dividing dry leaf mass by fresh leaf mass. SLA was calculated by dividing leaf area by dry leaf mass. Additionally, within an area of 10 cm diameter around the target individual, we determined the tallest neighbouring species and measured its vegetative and generative height, and estimated the percent cover of the target species, other vegetation, rock, and bare soil.
For more details see Rixen et al. 2022, Journal of Ecology.

climate-change

display_name: climate-change

cold-adapted-plants

display_name: cold-adapted-plants

elevation-gradient

display_name: elevation-gradient

elevation-range

display_name: elevation-range

neighbour-interactions

display_name: neighbour-interactions

plant-traits

display_name: plant-traits

education

fr: Education, science

de: Bildung, Wissenschaft

en: Education and science

it: Formazione e scienza

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

fr: EnviDat est le portail de données du WSL; il offre un accès uniformisé et réglementé aux données de surveillance et de recherche en matière d’environnement. Ce portail est capable d’héberger et de publier des ensembles de données précieuses et uniques, qui sont partagées aux quatre coins de la planète. Ce faisant, EnviDat favorise la recherche et contribue à l’avancement des sciences environnementales.

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

de: EnviDat ist das Datenportal der WSL für einen einheitlichen und verwalteten Zugang zu Umweltdaten aus Monitoring- und Forschungsprojekten. Auf dem Portal können Datensätze gehostet und veröffentlicht werden. Durch die weltweite Bereitstellung einzigartiger und wertvoller Datensätze leistet EnviDat einen Beitrag zur Forschung im Bereich der Umweltwissenschaften.

it: EnviDat è il portale dati del WSL che fornisce un accesso unificato e gestito ai dati di monitoraggio ambientale e di ricerca. Il portale ha la capacità di ospitare e pubblicare serie di dati preziosi e unici che vengono condivisi in tutto il mondo. Così facendo, EnviDat promuove la ricerca e contribuisce al progresso della scienza ambientale.

value: Envidat Harvester

en: intratrait


weather-station-klosters

maintainer: Maxime Hervo

title_for_slug: weather-station-klosters

en: raclets wind temperature weather precipitation klosters

en: Weather Station Klosters

en: All in one weather station measuring temperature (°C), humidity (%), wind (m s‾ ¹) and precipitation type. The time format is: number of days from January 0, 0000, UTC.

en: A weather station (Lufft WS600) measured meteorological parameters at Klosters (LON: 9.880413, LAT: 46.869019). Detailed information on the specifications can be found [here](https://www.lufft.com/products/compact-weather-sensors-293/ws600-umb-smart-weather-sensor-1832/productAction/outputAsPdf/).

klosters

display_name: klosters

precipitation

display_name: precipitation

raclets

display_name: raclets

temperature

display_name: temperature

weather

display_name: weather

wind

display_name: wind


fr: federal votation

de: abstimmung national

it: votazione nazionale

rm: Resultats finals da la votaziun federala "Volksinitiative vom 16. November 2012 «Für den geordneten Ausstieg aus der Atomenergie (Atomausstiegsinitiative)»", 27 da november 2016, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 16. November 2012 «Für den geordneten Ausstieg aus der Atomenergie (Atomausstiegsinitiative)»", 27 novembre 2016, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 16. November 2012 «Für den geordneten Ausstieg aus der Atomenergie (Atomausstiegsinitiative)»", 27. November 2016, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 16. November 2012 «Für den geordneten Ausstieg aus der Atomenergie (Atomausstiegsinitiative)»", 27 novembre 2016, Kanton Basel-Landschaft, suddivisi per municipalit.

abstimmung

display_name: abstimmung

federal

display_name: federal

national

display_name: national

nazionale

display_name: nazionale

plaun-naziunal

display_name: plaun-naziunal

votation

display_name: votation

votazione

display_name: votazione

votaziun

display_name: votaziun

politics

fr: Politique

de: Politik

en: Politics

it: Politica

kanton-basel-landschaft

de: Kanton Basel-Landschaft

value: BL - Abstimmungen


maintainer: Sven-Eric Hopf

en: monitoring ash-dieback iap fraxinus forest

en: Monitoring of ash trees as part of the Intercantonal Forest Observation Programme

media_type: .pdf

en: Packgroun information on data for the publication: Spread and Severity of Ash Dieback in Switzerland – Tree Characteristics and Landscape Features Explain Varying Mortality Probability, (Klesse et al. 2021, Front. For. Glob. Change 4:645920., doi: 10.3389/ffgc.2021.645920)

en:
In 2013, the Institute for Applied Plant Biology (IAP) started a monitoring programme to study the development and the spatial variation of the ash dieback disease with the aim to find some partially resistant European ash trees (Fraxinus excelsior).
We collaborate as co-authors for the publication: Spread and Severity of Ash Dieback in Switzerland - Tree Characteristics and Landscape Features Explain Varying Mortality Probability (Klesse et al. 2021 in frontiers)

ash-dieback

display_name: ash-dieback

forest

display_name: forest

fraxinus

display_name: fraxinus

iap

display_name: iap

monitoring

display_name: monitoring


maintainer: EnviDat Support

en: antarctica meteorological-data drifting-snow mass-flux snowmicropen terrestrial-laser-scanning

en: Dataset

media_type: Link

en: Links to the dataset

en: README

media_type: text/plain

en: Describes the dataset in detail

format: TXT

mimetype: text/plain

en:
This dataset contains the data acquired during the expedition to Princess Elisabeth Antarctica Station in December 2016 and January 2017. The dataset consits of meterorological data, drifting snow mass flux data, SnowMicroPen data and Terrestrial Laser Scanning data.

Please refer to the README for more information about the data.

This dataset is the basis of the following publication:

Sommer, C. G., Wever, N., Fierz, C., and Lehning, M.: Wind-packing of snow in Antarctica, The Cryosphere Discuss., https://doi.org/10.5194/tc-2018-36, in review, 2018.

antarctica

display_name: antarctica

drifting-snow

display_name: drifting-snow

mass-flux

display_name: mass-flux

meteorological-data

display_name: meteorological-data

snowmicropen

display_name: snowmicropen

terrestrial-laser-scanning

display_name: terrestrial-laser-scanning

en: Expedition to Princess Elisabeth Antarctica Station, 2016/2017


en: shortwave-radiation longwave-radiation outgoing davos incoming

en: Metadata

media_type: application/pdf

format: PDF

mimetype: application/pdf

en: DATA ACCESS

media_type: SMET

en: Parameter file

en: Processing doc

en:
Incoming and outgoing shortwave and longwave 2 min radiation measurements in Davos Dorf, CH.

 References
1. Marty, C., Philipona, R., Frohlich, C., Ohmura, A.. Altitude dependence of surface radiation fluxes and cloud forcing in the alps: results from the alpine surface radiation budget network. 2002. Theoretical and Applied Climatology. Volume 72. Issue 3-4. 137-155. http://dx.doi.org/10.1007/s007040200019. 10.1007/s007040200019.
2. Christoph Marty. Surface Radiation, Cloud Forcing and Greenhouse Effect in the Alps. 2000. Institute fuer Klimaforschung ETH. Zuercher Klima-Schriften. Volume 79. http://e-collection.library.ethz.ch/eserv/eth:23491/eth-23491-01.pdf.

davos

display_name: davos

incoming

display_name: incoming

longwave-radiation

display_name: longwave-radiation

outgoing

display_name: outgoing

shortwave-radiation

display_name: shortwave-radiation

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: ASRB_DAV: Shortwave and longwave radiation measurements (2 min) in Davos Dorf


en: swiss-geo-downloader open-source cable-yarding seilaplan swiss-geodata qgis-plugin geoinformation-system digital-elevation-model digital-planning

en: Herunterladen des DHM mit SwissGeoDownloader

en: View video on youtube!

en:
In order to use the QGIS plugin ‘Seilaplan’ for digital cable line planning, a digital terrain model (DTM) is required. The plugin ‘Swiss Geo Downloader’, which is available for the open source geoinformation software QGIS, allows freely available Swiss geodata to be downloaded and displayed directly within QGIS. It was developed in 2021 by Patricia Moll in collaboration with the Swiss Federal Institute for Forest, Snow and Landscape Research WSL. In this tutorial we describe how to download the high accuracy elevation model ‘swissALTI3D’ with the help of the ‘Swiss Geo Downloader’ and how to use it for digital planning of a cable line with the plugin ‘Seilaplan’. Please note that the tutorial language is German!

Link to the Swiss Geo Downloader: https://pimoll.github.io/swissgeodownloader

Link to Seilaplan website: https://seilaplan.wsl.ch

*********************

Für die Verwendung des QGIS Plugins Seilaplan zur digitalen Seillinienplanung ist ein digitales Höhenmodell (DHM) nötig. Das Plugin Swiss Geo Downloader, welches für das Open Source Geoinformationssystem QGIS zur Verfügung steht, ermöglicht frei verfügbare Schweizer Geodaten direkt innerhalb von QGIS herunterzuladen und anzuzeigen. Es wurde 2021 von Patricia Moll in Zusammenarbeit mit der eidgenössischen Forschungsanstalt Wald, Schnee und Landschaft WSL entwickelt. In diesem Tutorial beschreiben wir, wie man mit Hilfe des Swiss Geo Downloaders das hochgenaue Höhenmodell swissALTI3D herunterladen und für die Seillinienplanung mit dem Plugin Seilaplan verwenden kann.

Link zum Swiss Geo Downloader: https://pimoll.github.io/swissgeodownloader

Link zur Seilaplan-Webseite: https://seilaplan.wsl.ch

cable-yarding

display_name: cable-yarding

digital-elevation-model

display_name: digital-elevation-model

digital-planning

display_name: digital-planning

geoinformation-system

display_name: geoinformation-system

open-source

display_name: open-source

qgis-plugin

display_name: qgis-plugin

seilaplan

display_name: seilaplan

swiss-geo-downloader

display_name: swiss-geo-downloader

swiss-geodata

display_name: swiss-geodata

en: Seilaplan Tutorial: DTM download with SwissGeoDownloader


en: paleo-climate glaciers precipitation orography last-glacial-maximum air-temperature

en: Data Access via S3

media_type: geotiff

en:
High resolution, downscaled climate model data are used in a wide variety of applications in environmental sciences. Here we present the CHELSA-TraCE21k downscaling algorithm to create global monthly climatologies for temperature and precipitation at 30 arcsec spatial resolution in 100 year time steps for the last 21,000 years. Paleo orography at high spatial resolution and at each timestep is created by combining high resolution information on glacial cover from current and Last Glacial Maximum (LGM) glacier databases with the interpolation of a dynamic ice sheet model (ICE6G) and a coupling to mean annual temperatures from CCSM3-TraCE21k. Based on the reconstructed paleo orography, mean annual temperature and precipitation was downscaled using the CHELSA V1.2 algorithm.

The data is published under a Creative Commons Attribution 2.0 Generic (CC BY 2.0) license.

format: GeoTIFF

en: Technical documentation

en: Technical documentation containing file metadata and variable descriptions.

air-temperature

display_name: air-temperature

glaciers

display_name: glaciers

last-glacial-maximum

display_name: last-glacial-maximum

orography

display_name: orography

paleo-climate

display_name: paleo-climate

precipitation

display_name: precipitation

en: CHELSA-TraCE21k: Downscaled transient temperature and precipitation data since the last glacial maximum


en: snow-water-equivalent snow-profile snow-height snow gcos

en: DATA ACCESS

en: STATION METADATA

en: Snowprofile from 11 observer sites in Switzerland compiled for the Global Climate Observing System (GCOS). Height of snow (cm) and snow water equivalent (mm) are recorded every 2 weeks since the 1947 (depending on station). Attached metadata file gives details of each station.

gcos

display_name: gcos

snow

display_name: snow

snow-height

display_name: snow-height

snow-profile

display_name: snow-profile

snow-water-equivalent

display_name: snow-water-equivalent

en: GCOS SWE data from 11 stations in Switzerland


en: soil-impacts biodiversity forest-management pairwise-stand-comparisons biogeography

en: references

media_type: XLS

en: Bibliography of all references cited in data_wohlgemuth_etal_Neobiota_2022.

format: XLS

en: headers

media_type: ascii, tab separated, also as excel table

en: Description of headers for data_wohlgemuth_etal_Neobiota_2022

en: Baseline data

en: Compiled data on the impacts of seven important NNTs (Acacia dealbata, Ailanthus altissima, Eucalyptus globulus, Prunus serotina, Pseudotsuga menziesii, Quercus rubra, Robinia pseudoacacia) on physical and chemical soil and biodiversity in Europe, and summarise commonalities and differences. A total of 107 publications considered, studies referred to biodiversity attributes and soil properties: 2804 lines and 30 rows.

biodiversity

display_name: biodiversity

biogeography

display_name: biogeography

forest-management

display_name: forest-management

pairwise-stand-comparisons

display_name: pairwise-stand-comparisons

soil-impacts

display_name: soil-impacts

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Impact of non-native tree species in Europe on soil properties and biodiversity: a review


maintainer: Henning Löwe

en: fast-sintering grain-shape discrete-element-modelling angle-of-repose granular-snow

en: Angle of repose and 3D CT images

en:
5 Snow types were examined and glass beads as a cohesion-less reference, named as follows:

RG: rounded grains (sieved with 0.7 - 1.4 mm)

FC: faceted grains (1.4 - 2 mm)

FCS: small faceted grains (0.7 - 1.4 mm)

IB: ice beads (4 mm)

IBS: small ice beads (2 - 2.2 mm)

GB: glass beads(2 mm)

en:
Angle of repose experiments were performed with different snow types at temperatures between -2 and -40°C. They were used to examine granular snow dynamics on the grain-scale with focus on the role of grain shape and cohesion. The angle of repose was observed by sieving snow onto a round, freestanding base until a stationary heap was formed.

This dataset consists of 1) the images of the experimental heaps that were taken to determine the angle of repose, 2) one binary 3D micro computed tomography image of each snow type. The CT images were taken with the SLF micro-CT40 to characterize snow properties and grain shape.

The experiments with natural snow types (rounded and faceted grains) and spherical model snow allowed for an examination of the differences in granular properties between natural grain shapes and spherical particles in view of Discrete Element Modelling. With the chosen temperatures, the effect of sintering could be observed that increases the angle of repose with increasing temperature.

angle-of-repose

display_name: angle-of-repose

discrete-element-modelling

display_name: discrete-element-modelling

fast-sintering

display_name: fast-sintering

grain-shape

display_name: grain-shape

granular-snow

display_name: granular-snow

en: Angle of repose experiments with natural and spherical snow


automatic-classification-of-avalanches

maintainer: Alec van Herwijnen

title_for_slug: automatic-classification-of-avalanches

en: avalanche localization monitoring machine-learning seismic

media_type: application/x-tar

en:
This tar file contains classification results for two seismic geophone arrays deployed above Davos, Switzerland. The of the first array located at the Dischma Valley was used to automatically identify all seismic events produced by avalanches, whereas the classification perfomed at the second array located at the Wannengrat field site was used to identify airplanes and earthquakes.
Furthermore, this tar file also contains the median back-azimuth of all classified events at the Dischma field site.

mimetype: application/x-tar

en: This dataset contains the classification and localization results obtained during the automatic classification of avalanches during the winter season 2017.

avalanche

display_name: avalanche

localization

display_name: localization

machine-learning

display_name: machine-learning

monitoring

display_name: monitoring

seismic

display_name: seismic

en: Automatic Classification of Avalanches


snow-drift-station-flowcapt

maintainer: Benjamin Walter

title_for_slug: snow-drift-station-flowcapt

en: acoustic-mass-flux raclets snowdrift snow-blowing wind-speed flowcapt

en: minimum wind spees

en: The data file contains the minimum wind speed in 10 minute intervalls. The duration of one cycle was 1 min and contained 6s observations and 54 s stand-by. The time is given in UTC+1.

en: avergaged mass flux

en: Average mass flux of 10 min measurement interval. The Cycle duration is 1 min which includes 6 s observation and 54 s stand-by. The time is given in UTC+1.

en: average wind speed

en: The data file contains the average wind speed in 10 minute intervalls. The duration of one cycle was 1 min and contained 6s observations and 54 s stand-by. The time is given in UTC+1.

en: minimum mass flux

en: The data file contains the minimum mass flux of 10 minute intervalls. The duration of one cycle was 1 min and contained 6s observations and 54 s stand-by. The time is given in UTC+1.

en: maximum wind speed

en: The data file contains the maximum wind speed in 10 minute intervalls. The duration of one cycle was 1 min and contained 6 s observations and 54 s stand-by. The time is given in UTC+1.

en: maximum mass flux

en: The data file contains the maximum mass flux of 10 minute intervalls. The duration of one cycle was 1 min and contained 6s observations and 54 s stand-by. The time is given in UTC+1.

en: The FlowCapt is an ultra-robust instrument measuring solid particle acoustic mass - flux intensities (g m‾ ² s‾ ¹) and wind speeds (m s‾ ¹). It was deployed at Gotschnagrat (LON: 46.859 LAT: 9.849). The vertical tube with a length of 1 m monitors snowdrift and snow-blowing; and is mounted at a height between 0.1 an 1.1 m above snow surface. The time within each data set is given in UTC+1.

acoustic-mass-flux

display_name: acoustic-mass-flux

flowcapt

display_name: flowcapt

raclets

display_name: raclets

snow-blowing

display_name: snow-blowing

snowdrift

display_name: snowdrift

wind-speed

display_name: wind-speed

en: Snow Drift Station - Flowcapt


en: cosmo-wrf orographic-precipitation snow-precipitation complex-terrain precipitation-variability

en: StationData

en: Snow depth maps over Dischma valley for 26 January 2016 and 9 March 2016 and snow depth differences between the two dates.

en:
The data presented here corresponds to the publication "Spatial variability in snow precipitation and accumulation in COSMO-WRF simulations and radar estimations over complex terrain" (Gerber et al., 2018a), which investigates the precipitation variability of snow precipitation in the central northern part of the Grisons (CH) and the publication "The importance of near-surface winter precipitation processes in complex alpine terrain" (Gerber et al., 2018b). The dataset contains:

* WRFsimulations: WRF simulation output for simulations with 4x (14x) terrain smoothing with an output timestep of 30 min/5 min and horizontal grid spacings of 1350 m, 450 m, 150 m and 50 m (currently: data available upon request).
* StationData: Meteorological station data of 18 meteorological stations in the central northern part of the Grisons with 30 minute resolution for the period 1 January 2016 till 1 May 2016.
* ADS80data: Photogrammetrically determined snow depth distribution data over the Dischma valley for the 26 January 2016 and 9 March 2016. Snow heights are corrected for buildings, vegetation (> 1m), outliers, and pixles, which are obivously snow-free on the pictures (Bühler et al., 2015). In addition the snow depth differences (snow depth on 9 March 2016 minus snow depth on 26 January 2016) are provided.

For more details about the simulation and observation data, see Gerber et al., 2018 and Gerber and Sharma (2018).

Publications:

Bühler, Y., Marty, M., Egli, L., Veitinger, J., Jonas, T., Thee, P., and Ginzler, C.: Snow depth mapping in high-alpine catchments using digital photogrammetry. Cryosphere, 9, 229–243, doi:10.5194/tc-9-229-2015, 2015.

Gerber, F., Besic, N., Sharma, V., Mott, R., Daniels, M., Gabella, M., Berne, A., Germann, U., and Lehning, M.: Spatial variability in snow precipitation and accumulation in COSMO-WRF simulations and radar estimations over complex terrain, The Cryosphere, 12, 3137–3160, doi:10.5194/tc-12-3137-2018, 2018.

Gerber, F., Mott, R. and Lehning, M.: The importance of near-surface winter precipitation processes in complex alpine terrain, Journal of Hydrometeorology, accepted, 2018.

Gerber, F., and Sharma, V.: Running COSMO-WRF on very-high resolution over complex terrain. Laboratory of Cryospheric Sciences CRYOS, École Polytechnique Fédérale de Lausanne EPFL, Lausanne, Switzerland. doi:10.16904/envidat.35, 2018.

complex-terrain

display_name: complex-terrain

cosmo-wrf

display_name: cosmo-wrf

orographic-precipitation

display_name: orographic-precipitation

precipitation-variability

display_name: precipitation-variability

snow-precipitation

display_name: snow-precipitation

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: DISCHMEX - High-resolution WRF simulations in complex alpine terrain and station measurements


en: anemometer wind-direction wind-velocity wind-speed raclets wind

en: Sonic temperature

media_type: npy

en: The data set contains values of temperature (°C) measured with the anemometer at a sampling frequency of 20 Hz.

en: Sonic wind component u

en:
The data contains values for u direction of the wind in a sampling frequency of 20 Hz.
Erroneour spikes were filterd in two steps.

1. Define moving window uₓ = u(i-3:i+3)
2. If u(i)-mean(uₓ) > 2*std(uₓ):u(i) = NaN

Frozen detectors resulted in continuous zero values (not filtered).
The wind speed and direction were calculated as follows:

wind speed = sqrt(u² + v²)
wind direction = 180° + (180° / PI)* arctan2 (-u, -v)

en: Sonic wind component w

en:
The data contains values for w direction of the wind in a sampling frequency of 20 Hz.
Erroneour spikes were filterd in two steps.

1. Define moving window uₓ = u(i-3:i+3)
2. If u(i)-mean(uₓ) > 2*std(uₓ):u(i) = NaN

Frozen detectors resulted in continuous zero values (not filtered).
The wind speed and direction were calculated as follows:

wind speed = sqrt(u² + v²)
wind direction = 180° + (180° / PI)* arctan2 (-u, -v)

en: Sonic time

en: The data set contains the time in YYYY-mm-dd HH:MM:SS.sss for the anemometer data. The time is given in UTC+1.

en: Sonic wind component v

en:
The data contains values for v direction of the wind in a sampling frequency of 20 Hz.
Erroneour spikes were filterd in two steps.

1. Define moving window uₓ = u(i-3:i+3)
2. If u(i)-mean(uₓ) > 2*std(uₓ):u(i) = NaN

Frozen detectors resulted in continuous zero values (not filtered).
The wind speed and direction were calculated as follows:

wind speed = sqrt(u² + v²)
wind direction = 180° + (180° / PI)* arctan2 (-u, -v)

en: A Young 81000 sonic anemomenter was deployed at Gotschnagrat (LON: 46.859 LAT: 9.849) to record three components of the wind velocity (u, v, w in [m s‾ ¹]) and air temperature (Ts in [°C]). The anemomenter was mounted in direction North at a height of 1.5 m above snow surface at the beginning. The time within each data set is given in UTC+1. Instrument specifications can be found [here](http://www.youngusa.com/Manuals/81000-90(I).pdf) .

anemometer

display_name: anemometer

wind

display_name: wind

wind-direction

display_name: wind-direction

wind-velocity

display_name: wind-velocity

en: Snow Drift Station - 3D Ultrasonic


maintainer: Athanasios Nenes

en: raclets supersaturation wolfgangpass cloud-modeling sigma-w cloud-droplets

en: Predicted cloud droplet numbers (kappa=0.25) Weissfluhjoch

en:
In-situ measurements of aerosol size distributions along with updraft velocities collected from a wind Doppler Lidar are coupled with a state-of-the art droplet activation parameterization (Morales and Nenes, 2014) to determine the cloud droplet number and maximum in-cloud supersaturation that can potentially form over the Davos Wolfgang station between February 24 and March 8 2019. For this, as a sensitivity test, a hygroscopicity parameter of 0.25 is assumed, which is the upper limit determined from the analysis carried out for Weissfluhjoch (https://www.envidat.ch/dataset/ccn-hygroscopicity-predicted-cloud-droplet-numbers-weissfluhjoch). The data file contains:

* Date and time (DD/MM/YYYY hh:mm:ss) in UTC
* The wind-lidar derived standard deviation of updraft velocities (sigma-w) in m/s, used to apply the parameterization employing a single characteristic velocity (Morales and Nenes, 2010)
* The maximum predicted cloud parcel supersaturation (Smax%)
* The total in-situ aerosol number concentration (Naer) in cmˉ³, measured by the SMPS
* The predicted cloud droplet numbers (Nd) in cmˉ³
* The activation fraction (%)

en: Predicted cloud droplet numbers (kappa=0.1) Davos Wolfgang

en:
In-situ measurements of aerosol size distributions along with updraft velocities collected from a wind Doppler Lidar are coupled with a state-of-the art droplet activation parameterization (Morales and Nenes, 2014) to determine the cloud droplet number and maximum in-cloud supersaturation that can potentially form over the Davos Wolfgang station between February 24 and March 8 2019. For this, as a sensitivity test, a hygroscopicity parameter of 0.1 is assumed, which is the lower limit determined from the analysis carried out for Weissfluhjoch (https://www.envidat.ch/dataset/ccn-hygroscopicity-predicted-cloud-droplet-numbers-weissfluhjoch). The data file contains:

* Date and time (DD/MM/YYYY hh:mm:ss) in UTC
* The wind-lidar derived standard deviation of updraft velocities (sigma-w) in m/s, used to apply the parameterization employing a single characteristic velocity (Morales and Nenes, 2010)
* The maximum predicted cloud parcel supersaturation (Smax%)
* The total in-situ aerosol number concentration (Naer) in cmˉ³, measured by the SMPS
* The predicted cloud droplet numbers (Nd) in cmˉ³
* The activation fraction (%)

en: Cloud droplet properties were predicted between February 24 and March 8 2019 for the measurement site Davos Wolfgang (1630 m a.s.l., LON: 9.853594, LAT: 46.835577). Droplet calculations are carried out with the physically based aerosol activation parameterization of Morales and Nenes (2014), employing the “characteristic velocity” approach of Morales and Nenes (2010). Aerosol size distribution observations required to predict the cloud droplet numbers and maximum in-cloud supersaturation are obtained from a Scanning Mobility Particle Size Spectrometer (SMPS) instrument deployed at Davos Wolfgang (https://www.envidat.ch/dataset/aerosol-data-davos-wolfgang). The required vertical velocity measurements are derived from the wind Doppler Lidar (https://www.envidat.ch/dataset/lidar-wind-profiler-data) deployed at the same station and are extracted from the first bin of the instrument, being 200 m above ground level. The hygroscopic properties of the particles measured at Davos Wolfgang could not be estimated, owing to a lack of concurrent CCN measurements. As a sensitivity test, droplet calculations are performed assuming two different values of the aerosol hygroscopicity parameter, 0.1 and 0.25, based on the analysis carried out for Weissfluhjoch. Additional information can be found in Section 2.3 [here](https://acp.copernicus.org/preprints/acp-2020-1036/).

cloud-droplets

display_name: cloud-droplets

cloud-modeling

display_name: cloud-modeling

sigma-w

display_name: sigma-w

supersaturation

display_name: supersaturation

wolfgangpass

display_name: wolfgangpass

education

en: Education and science

en: Predicted cloud droplet numbers Davos Wolfgang


en: low-flow drought-2018 hydrological-simulations precipitation prevah discharge soil-moisture

en: Precipitation

en: Simulated precipitation for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm/d.

en: Soil moisture

en: Simulated plant-available soil moisture for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm.

en: Discharge

en: Simulated discharge for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm/d.

en: Low-flow storage

en: Simulated low-flow storage for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm.

en: Shapefile of 307 catchments in Switzerland

en: Shapefile of 307 catchments for which simulations of precipitation, discharge, soil moisture, and low flow are provided. The OBJECTID entry corresponds to the data columns in the textfiles of the simulated data provided.

en: The dataset provides simulated 1) precipitation, 2) discharge, 3) soil moisture, and 4) low-flow simulations for 307 medium-sized catchments in Switzerland for the period 1981-2018. The data were simulated using the hydrological model PREVAH in its gridded-version. The simulated time series are provided at daily resolution. A detailed description of the modeling approach can be found in Brunner et al. 2019 submitted to NHESS.

discharge

display_name: discharge

hydrological-simulations

display_name: hydrological-simulations

low-flow

display_name: low-flow

precipitation

display_name: precipitation

prevah

display_name: prevah

soil-moisture

display_name: soil-moisture

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Hydro-meteorological simulations for the period 1981-2018 for Switzerland


en: relative-humidity temperature meteo meteorology wind-speed par swiss-forest-lab precipitation long-term climate-change

en: Site photo of the field station (NOF)

media_type: image/jpeg

en: Site photo of the field station from the side.

mimetype: image/jpeg

en: Site photo of the forest station (NOB)

en: Site photo of the forest station from the side.

en: Site aerial photo (Novaggio)

en: Site aerial photo from both Novaggio stations. Source: Google. 2016. Site aerial photo from both Novaggio stations. Retrieved November 15, 2016, from https://www.google.ch/maps

en: Field station data (NOF)

en: Data file.

en: Data plot of the forest station (NOB)

en: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en: Data plot of the field station (NOF)

en: Forest station data (NOB)

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Novaggio in Switzerland where one station is located within a natural deciduous forest stand (NOB) with Turkey oak (_Quercus cerris_; 70 yrs), sweet chestnut (_Castanea sativa_; 90 yrs) and silver birch (_Betula pendula_; 70 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, NOF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Novaggio is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

education

en: Education and science

en: Novaggio, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1996 onwards


radiosondes

maintainer: Jörg Wieder

title_for_slug: radiosondes

en: relative-humidity temperature wind-direction holoballoon pressure raclets wind radiosonde

en: Radiosond Template Files

en:
The "template" files contain standard parameters, i.e. ambient pressure (mbar and Pa), temperature (°C), relative humidity (%), wind speed (m s‾ ¹) and wind direction (true deg), as well as additional information, e.g. time (UTC and local time), dew point (°C), mixing ration (g/kg), density (kg m³), altitude (m MSL), height above ground (ft and m AGL), and geographic coordinates (longitude, latitude). If the wind speed was zero, no wind direction is given.
The zip files contain ascents on the following days:
February 10 (morning and afternoon),
February 11 (morning),
February 16 (afternoon),
February 22 (morning),
March 1 (morning),
March 5 (morning),
March 11 (morning),
March 12 (morning),
March 13 (morning),
March 14 (morning),
March 17 (afternoon), and
March 18.
The data was managed with Windsond Receiver Application Demo Version 2.92, (C) Sparv Embedded AB 2016.

en: Radiosond Sounding Files

en:
The "soundings" radiosond data contains information on ambient pressure (mbar), temperature (C), relative humidity (%), wind speed (m s‾ ¹) and wind direction (true deg), and are ordered with respect to the height above ground (m AGL) with a step size of 20 m. The first line of each file idicates the geographic location and the start time (in UTC) of the ascent. If the wind speed was zero, no wind direction is given.
The zip files contain ascents on the following days:
February 10 (morning and afternoon),
February 11 (morning),
February 16 (afternoon),
February 22 (morning),
March 1 (morning),
March 5 (morning),
March 11 (morning),
March 12 (morning),
March 13 (morning),
March 14 (morning),
March 17 (afternoon), and
March 18.
The data was managed with Windsond Receiver Application Demo Version 2.92, (C) Sparv Embedded AB 2016.

en: Radiosondes (Windsond, Sparv Embedded AB) were started in Davos Wolfgang (LON: 9.853594, LAT: 46.835577) to report height profiles of pressure, relative humidity and temperature at specific days. In addition to regular launches of radiosondes, sondes were attached to [HoloBalloon](https://www.envidat.ch/group/clouds-in-situ-raclets) to report the ambient conditions of the in-situ measurements. Further profiles of meteorological measures were recorded at [HoloGondel](https://www.envidat.ch/group/clouds-in-situ-raclets) which was installed at the gondola moving between Gotschnaboden and Gotschnagrat at 2285 m a.s.l.

holoballoon

display_name: holoballoon

pressure

display_name: pressure

raclets

display_name: raclets

radiosonde

display_name: radiosonde

wind

display_name: wind

wind-direction

display_name: wind-direction

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Radiosondes


en: snow pattern-formation numerical-model vapor-transport python

media_type: ZIP

en:
Data and code v1.0 downloaded from the git.

Running the code requires an installation of FEniCS via docker.

en:
This python code uses the Finite Element library FEniCS (via docker) to solve the one dimensional partial differential equations for heat and mass transfer in snow. The results are written in vtk format.

The dataset contains the code and the output data to reproduce the key Figure 5 from the related publication:

_Schürholt, K., Kowalski, J., Löwe, H.; Elements of future snowpack modeling - Part 1: A physical
instability arising from the non-linear coupling of transport and phase changes, The Cryosphere, 2022_

The code and potential updates can be accessed directly through git via:

https://gitlabext.wsl.ch/snow-physics/snowmodel_fenics

numerical-model

display_name: numerical-model

pattern-formation

display_name: pattern-formation

python

display_name: python

snow

display_name: snow

vapor-transport

display_name: vapor-transport

en: A numerical solver for heat and mass transport in snow based on FEniCS


sensitivity-of-modeled-snow-instability

maintainer: Bettina Richter

title_for_slug: sensitivity-of-modeled-snow-instability

en: snow-cover-modeling snowpack numerical-avalanche-forecasting global-sensitivity-analysis snow-instability

en: Case SL

en: Extracted output data for case SL. Here biases were introduced to meteorological input data during the period of slab formation. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

en: Case ALL

en: Extracted output data for case ALL. Here biases were introduced to meteorological input data during the whole simulation period. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

en: Case WL

en: Extracted output data for case ALL. Here biases were introduced to meteorological input data during the period of weak layer formation. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

en: Reference run

en: Reference run for the sensitivity analysis at Weissfluhjoch field site for winter season 2016-2017. Meteorological data from the automatic weather stations are used. No biases were introduced to the input data.

en: Manually observed snow profiles

en: Manually observed snow profiles at Weissfluhjoch field site for winter season 2016-2017, including layer depth, hand hardness, grain size and grain shape for each layer.

en: We investigated the sensitivity of modeled snow instability to meteorological input data using SNOWPACK. We therefore used input data from the automatic weather station at the Weissfluhjoch field site for the year 2016-2017. We investigated three scenarios and performed 14'000 simulations for each scenario. The dataset contains extracted output data from modeled SNOWPACK simulations, including setup files to reproduce the simulations. For further information read the README file.

global-sensitivity-analysis

display_name: global-sensitivity-analysis

numerical-avalanche-forecasting

display_name: numerical-avalanche-forecasting

snow-cover-modeling

display_name: snow-cover-modeling

snow-instability

display_name: snow-instability

snowpack

display_name: snowpack

en: Sensitivity of modeled snow instability


maintainer: Matthias Haeni

en: meteorology meteo relative-humidity climate-change long-term temperature precipitation swiss-forest-lab par wind-speed

en: Site photo of the forest station (BAB)

en: Site photo of the forest station from below (viewing upwards the slope).

en: Data plot of the field station (BAF)

en: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en: Forest station data (BAB)

media_type: text/csv

en: Data file.

en: Site aerial photo (Beatenberg)

en: Site aerial photo from both Beatenberg stations. Source: Google. 2016. Site aerial photo from both Beatenberg stations. Retrieved November 11, 2016, from https://www.google.ch/maps

en: Field station data (BAF)

en: Data plot of the forest station (BAB)

en: Site photo of the field station (BAF)

en: Site photo of the field station from below (viewing upwards the slope).

en:
High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Beatenberg in Switzerland where one station is located within a natural coniferous forest (BAB) with Norway spruce (_Picea abies_; 190-210 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, BAF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Beatenberg is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the
Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Beatenberg, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1997 onwards


maintainer: Mahdi Jafari

en: snow-density-profile convection-in-snow openfoam vapor-transport numerical-simulation

en: snowpackBuoyantPimpleFoam

en:
This zipped folder includes (1) the source code files, (2) an example case for simulation, and (3) an instruction how to compile and use the new solver.

Note that the most updated version of snowpackBuoyantPimpleFoam can be found in the WSL/SLF GitLab repository: https://gitlabext.wsl.ch/snow-models/snowpackbuoyantpimplefoam

en: snowpackBuoyantPimpleFoam is a two-phase solver implemented to model convection of water vapor with phase change in snowpacks. This new solver is based on the standard solver of buoyantPimpleFoam in the open-source fluid dynamics software, OpenFOAM 5.0 (www.openfoam.org).

convection-in-snow

display_name: convection-in-snow

numerical-simulation

display_name: numerical-simulation

openfoam

display_name: openfoam

snow-density-profile

display_name: snow-density-profile

en: snowpackBuoyantPimpleFoam: an OpenFOAM Eulerian–Eulerian two-phase solver for modelling convection of water vapor in snowpacks


maintainer: Rebecca Mott

en: riegl-vz6000 snow-ablation-rates patchy-snow-covers terrestrial-laser-scanning tls

en: Snowmask 2014

en: Digital Elevation Modell 2014

en: Digital Elevation Modell 2015

en: Digital Elevation Modell 2016

en: Snowmask 2016

en: Gletschboden test site

en: Snowmask 2015

en: We recorded snow ablation maps with a terrestrial laser scanner (TLS, Riegl-VZ6000) at the Gletschboden area. The TLS position is located approximately 30 vertical meters above the Gletschboden area at a northerly exposed slope. In total 44 TLS measurement sets have been conducted in three consecutive years 2014-2016 (2014: 13 measurements; 2015: 17 measurements; 2016: 14 measurements). The TLS system has a single-point measurement frequency of 300 kHz and a beam divergence of 0.007°. This set-up allows a horizontal resolution of approximately 0.01 m in 100 m distance to the TLS position. One scan of the Gletschboden area lasts approximately 15 minutes. The travel time from the laser scanner towards the surface is recorded and afterwards converted into a point cloud of distances. 5 reflectors located at the Gletschboden area and in the closer surroundings were additionally scanned during each measurement to transform the point cloud from the scanner own coordinate system into Swiss coordinates. Additionally, orthophotos have been created by using pictures recorded from the TLS in order to provide snow mask maps. Snow and bare ground can be distinguished by the RGB color information of the orthophoto. Cells with blue band information greater than 175 were categorized as snow and all cells with values smaller or equal 175 were categorized as bare ground.

patchy-snow-covers

display_name: patchy-snow-covers

snow-ablation-rates

display_name: snow-ablation-rates

terrestrial-laser-scanning

display_name: terrestrial-laser-scanning

tls

display_name: tls

en: DISCHMEX - High-resolution daily snow ablation rates in an Alpine environment


en: meteo climate-change swiss-forest-lab precipitation meteorology long-term wind-speed par relative-humidity temperature

en: Data plot of the field station (NAF)

en: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en: Site photo of the field station (NAF)

en: Site photo of the field station form the side.

en: Forest station data (NAB)

en: Data file.

en: Data plot of the forest station (NAB)

en: Site photo of the forest station (NAB)

en: Site photo of the forest station from the side.

en: Site aerial photo (Nationalpark)

en: Site aerial photo from both Nationalpark stations. Source: Google. 2016. Site aerial photo from both Nationalpark stations. Retrieved November 11, 2016, from https://www.google.ch/maps

en: Field station data (NAF)

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Nationalpark in Switzerland where one station is located within a natural coniferous forest stand (NAB) with mountain pine (_Pinus mugo_; 210 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, NAF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Nationalpark is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Nationalpark, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1997 onwards


maintainer: Frank Techel

en: avalanche-statistics long-term-trends avalanche-accident avalanche-fatalities avalanche-accident-statistics

en: Data avalanche fatalities 1969/1970 - 2014/2015

en: The data comprises avalanche fatality data from the Alpine regions in the seven countries Austria, France, Germany, Italy, Liechtenstein, Slovenia, and Switzerland.

en:
During the last 45 years, about 100 people lost their lives in avalanches in the European Alps each year. Avalanche fatalities in settlements and on transportation corridors have considerably decreased since the 1970s. In contrast, the number of avalanche fatalities during recreational activities away from avalanche-secured terrain doubled between the 1960s and 1980s and has remained relatively stable since, despite a continuing strong increase in winter backcountry recreational activities.

Data complementing Figure 2 in:
_"Avalanche fatalities in the European Alps: long-term trends and statistics"_, by Techel, F., Jarry, F., Kronthaler, G., Mitterer, S., Nairz, P., Pavšek, M., Valt, M., and Darms, G.

Data description:
please refer to section 2 (Data and Methods) in the mentioned publication

avalanche-accident

display_name: avalanche-accident

avalanche-accident-statistics

display_name: avalanche-accident-statistics

avalanche-fatalities

display_name: avalanche-fatalities

avalanche-statistics

display_name: avalanche-statistics

long-term-trends

display_name: long-term-trends

en: Avalanche fatalities in the European Alps (1969/1970 - 2014/2015)


en: precipitation long-term climate-change relative-humidity swiss-forest-lab meteo meteorology temperature wind-speed par

en: Field station data (SCF)

en: Data file.

en: Further details on the data repository

media_type: PDF

en: Meta data documentation.

en: Forest station data (SCB)

en: Site aerial photo (Schänis)

media_type: JPEG

en: Site aerial photo from both Schänis stations. Source: Google. 2016. Site aerial photo from both Schänis stations. Retrieved November 11, 2016, from https://www.google.ch/maps

en: Site photo of the field station (SCF)

en: Site photo of the field station from above (viewing downwards the slope).

en: Data plot of the field station (SCF)

en: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en: Site photo of the forest station (SCB)

en: Site photo of the forest station from below (viewing upwards the slope).

en: Data plot of the forest station (SCB)

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Schänis in Switzerland where one station is located within a natural mixed forest stand (SCB) with European beech (_Fagus sylvatica_; 130-150 yrs), European silver fir (_Abies alba_; 130-150 yrs) and European ash (_Fraxinus excelsior_; 130-150 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, SCF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Schänis is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

en: Schänis, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1998 onwards


en: stream-water stable-water-isotopes spatially-distributed-sampling geochemical-solutes precipitation

en: The dataset contains daily measurements of volumes, isotopes and solutes of stream water as well as precipitation measured several locations; meteorological variables are added. Date: 18.07.2019

en:
This dataset contain measurements of solute and stable water isotopes in stream water and precipitation in the Alp catchment and two of its tributaries (between 2015 -2018) . The river Alp is a snow-dominated catchment situated in Central Switzerland characterized by an elevation range from 840 to 1898 m a.s.l. The dataset provides solutes (major anions and cations, trace metals) and stable water isotopes and water fluxes (precipitation rates, discharge) at daily intervals from several sampling locations.
An updated version of the isotope dataset is available here: https://www.doi.org/10.16904/envidat.242

geochemical-solutes

display_name: geochemical-solutes

spatially-distributed-sampling

display_name: spatially-distributed-sampling

stable-water-isotopes

display_name: stable-water-isotopes

stream-water

display_name: stream-water

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Daily data of solute and stable water isotopes in stream water and precipitation in the Alp catchment, Central Switzerland


maintainer: Sebastian Schlögl

en: turbulent-sensible-heat-fluxes snow atmospheric-turbulence stable-boundary-layer atmosphere

en: Turbulence data PM07

media_type: application/zip

en: NWW

en: Turbulence data AA00

en: sensor in 1 m height

en: Turbulence data WFJ11

en: sensor in 25 m height

en: Turbulence data WFJ07

en: lower sensor

en: Turbulence data GR00

en: SEE

en: sensor in 0.2 m height

en: sensor in 2 m height

en: upper sensor

en:
We used five different atmospheric turbulence datasets from four test sites, with these sites showing differences in their topographical characteristics. We chose one typical alpine test site with high topographical complexity (Weissfluhjoch, Davos, Switzerland) and three test sites consisting of one glacier site (Plaine Morte, Crans-Montana, Switzerland) and two polar sites (Greenland and Antarctica) representing a quasi-ideal site with homogeneous surface and quasi infinite fetch in all directions.
The turbulent sensible heat flux was calculated using the eddy-covariance method. Note that the sonic temperature fluctuations have been converted into virtual temperature fluctuations.
Three-dimensional wind velocity and air temperature were processed using a linear detrending (Rannik and Vesala, 1999) and a planar fit approach (Massmann and Lee, 2002) to rotate the coordinate system. Air temperature, relative humidity and air pressure from weather stations were used to calculate air properties, which are required for the data processing. The weather stations are located in the immediate vicinity of the turbulence tower and are affected by the same air masses. Turbulence data were averaged to 30-min intervals, whilst changing to a 15-min time interval marginally affects the heat fluxes at the Weissfluhjoch test site (Mott et al., 2011). Note that we define a negative sensible heat flux as being directed towards the snow surface and a positive sensible heat flux as being directed upwards.
The selected datasets and corresponding test sites are briefly introduced below:

Weissfluhjoch 2007 (WFJ07): A vertical set-up of two three-dimensional ultrasonic anemometers (CSAT3, Campbell Scientific, Inc.) was used at the traditional field site Weissfluhjoch (2540 m asl.) to measure three-dimensional wind velocity and air temperature at a frequency of 20 Hz. The sensors were mounted 3 m and 5 m above the ground and provided reliable data for 50 days between 11 February 2007 and 24 April 2007. Further information on the field campaign can be found in Stössel et al. (2010) and Mott et al. (2011).

Weissfluhjoch 2011-13 (WFJ11): Three-dimensional wind velocity and air temperature were recorded at 5 m above the ground at a frequency of 10 Hz with a three-dimensional ultrasonic anemometer (CSAT3). The analysis was conducted for data obtained between February and March in the years 2011-13.

Plaine Morte 2007 (PM07): Two three-dimensional ultrasonic anemometers (CSAT3) were installed on a horizontal boom facing opposite directions (west-north-west vs. east-south-east) at 3.75 m above the ground to measure air temperature and three-dimensional wind velocity at 20 Hz. The data were collected at the almost flat field site on the Plaine Morte glacier (2750 m asl.) near Crans-Montana, Switzerland from February to April 2007. High quality meteorological data were additionally recorded and used to force the model. A detailed description about the set-up at the Plaine Morte glacier can be found in Huwald et al. (2009) and Bou-Zeid et al. (2010).

Greenland 2000 (GR00): High-frequency three-dimensional ultrasonic anemometer measurements (CSAT3) were recorded at 50 Hz at the Summit Camp (72.3 °N, 38.8 °W, 3208 m asl.) located on the northern dome of the Greenland ice sheet. Data were collected at 1 m and 2 m above the snow surface during summer in 2000 and 2001. Additionally, meteorological measurements were obtained for the post processing and used to force the model. More information about the field campaign can be found in Cullen et al. (2007, 2014).

Antarctica 2000 (AA00): A set-up of three vertical three-dimensional ultrasonic anemometers (DA-600, Kaijo Denki) were installed at Mizuho Station (70°42' S, 44°20' E, 2230 m asl.) in Eastern Antarctica at 0.2, 1 and 25 m and recorded turbulence data at a frequency of 100 Hz from October to November 2000. Longwave and shortwave radiation, relative humidity, air and snow surface temperature were additionally measured and used to force the model. More information about the field campaign can be found in Nishimura and Nemoto (2005).

atmosphere

display_name: atmosphere

atmospheric-turbulence

display_name: atmospheric-turbulence

snow

display_name: snow

stable-boundary-layer

display_name: stable-boundary-layer

turbulent-sensible-heat-fluxes

display_name: turbulent-sensible-heat-fluxes

en: How do stability corrections perform in the stable boundary layer over snow?