Version, status: v1.2, deprecated / change log
Maintainer: Federal Office of Meteorology and Climatology MeteoSwiss, OGD@MeteoSwiss project team
Important
This documentation is no longer up-to-date and will soon be taken offline. The continuously updated, valid Open Data documentation from MeteoSwiss is here.
En français | In italiano | In english
Mit der Einführung der Totalrevision der Verordnung über die Meteorologie und Klimatologie (MetV) - voraussichtlich im 1. Quartal 2025 - wird Meteoschweiz die im gesetzlichen Auftrag erhobenen Daten von den Gebühren befreien und damit den Zugang zu offenen Daten umsetzen, wie es das Bundesgesetz über den Einsatz elektronischer Mittel zur Erfüllung von Behördenaufgaben (EMBAG) fordert. Die von MeteoSchweiz angestrebte Kompatibilität mit der 'High Value Datasets (HVD)'-Richtlinie der EU (s. Anhang, Kapitel 3. "Meteorologie") und die Forderungen des EMBAG führen zu einen Umstieg des Datenzugangs von 'Push' (d.h. auf Anfrage/Bestellung) zu 'Pull' (d.h. per Selbstbedienung).
MeteoSchweiz stellt seit Jahrzehnten meteorologische und klimatologische Daten auf internationaler, europäischer und nationaler Ebene bereit. Seit 2012 hat MeteoSchweiz zudem Erfahrungen mit der Bereitstellung offener Daten aufgebaut (s. Datensätze beginnend mit "ch.meteoschweiz..."). Dazu nutzt MeteoSchweiz die Bundes-Geodaten-Infrastruktur BGDI, die von swisstopo betrieben wird.
Der Zugang zu offenen Daten soll überarbeitet und vereinfacht werden, so dass Menschen mit unterschiedlichen datentechnischen und meteorologischen Kenntnissen die gewünschten Daten ohne Mühe finden können. Anwendungsorientierte Beschreibungen und Kontextinformationen helfen ihnen einzuschätzen, ob bzw. unter welchen Bedingungen welche Daten für eine gewünschte Anwendung passen.
Unsere Mission ist, die Bereitstellung von offenen Daten für Menschen und Organisationen mit derselben Zuverlässigkeit und Sorgfalt zu gestalten, die sie von MeteoSchweiz bereits gewohnt sind.
Unsere Strategie für die Version 1.0 ist, allen Nutzerinnen und Nutzern zu ermöglichen, offene Daten als Files via die STAC-API der BGDI herunterzuladen.
Damit entspricht die OGD-Bereitstellung von MeteoSchweiz in der Version 1.0 der Anforderung der HVD-Richtlinie der EU, "Datensätze (...) über Massen-Download (...) zur Weiterverwendung zur Verfügung zu stellen" (Anhang, Kapitel 3.2. a). Die Anforderung, Datensätze auch über APIs verfügbar zu machen, setzt MeteoSchweiz darauf in einer späteren Umsetzungsetappe um.
Unsere wichtigsten Ergebnisse für die Version 1.0 sind:
Unsere wichtigsten Nutzendengruppen für die Version 1.0 sind:
Note
Unsere Nutzendenschaft ist sehr breit und unterschiedlich. Zur Priorisierung der Funktionalitäten sowie der anwendungsorientierten Beschreibungen und Kontextinformationen der Daten haben wir diese grobe Gruppierung gewählt. Die Gruppen sind von oben nach unten nach ihrer Anzahl (viele > wenige) aufgelistet.
Strategie für die Priorisierung
Roadmap der OGD-Bereitstellung
STAC collection name)| Beta-Version | Version 1.0 | Als nächstes | |
|---|---|---|---|
| Hauptfunktionalitäten | Einzelne oder mehrere Files über die STAC-API der BGDI herunterladen | Einzelne oder mehrere Files über ein WebGUI zum Download auswählen | |
| Bodenstationsdaten | Automatische Wetterstationen – Messwerte, ogd-smn Automatische Niederschlagsstationen – Messwerte, ogd-smn-precip Automatische Grenzschichtstationen – Messwerte, ogd-smn-tower Manuelle Niederschlagsstationen – Messwerte, ogd-nime Totalisator-Niederschlagsstationen – Messwerte, ogd-tot Pollenstationen – Messwerte, ogd-pollen |
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| Atmosphärendaten | Radiosondierungen – Messwerte, ogd-radiosounding |
Raman-LIDAR for Meteorological Observation (RALMO) LIDAR Ceilometer CHM15K Ozonmessungen (Boden: Dobson, Brewer; Atmosphäre: O3-Radiosondierungen, SOMORA) Swiss Alpine Climate Radiation Monitoring SACRaM |
|
| Beobachtungen | Meteorologische Augenbeobachtungen, ogd-obs Phänologische Beobachtungen, ogd-phenology |
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| Klimadaten | Klimastationen – Homogene Messwerte, ogd-nbcn Niederschlags-Klimastationen – Homogene Messwerte, ogd-nbcn-precip |
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Bodengestützte räumliche Klimadaten – Gitterdaten, ogd-surface-derived-grid Satellitengestützte räumliche Klimadaten – Gitterdaten, ogd-satellite-derived-grid |
Radargestützte räumliche Klimadaten – Gitterdaten, ogd-radar-derived-grid |
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Klima-Normwerte, ogd-climate-normals |
Klima-Normwerte – Gitterdaten, ogd-climate-normals-grid |
Klimaszenarien – ..., ogd-climate-scenarios |
|
| Radardaten | Grundlegende Radardaten – Gitterdaten, ogd-basic-radar Erweiterte Radardaten – Gitterdaten, ogd-advanced-radar |
Kombinierte Niederschlagsberechnungen – Gitterdaten, ogd-combiprecip |
3D-Radardaten (in Abklärung) |
| Prognosedaten | Kurzfristprognosedaten – Gitterdaten, ogd-nowcasting |
ICON-CH1-Prognosedaten – Gitterdaten, ogd-forecasting-icon-ch1 ICON-CH2-Prognosedaten – Gitterdaten, ogd-forecasting-icon-ch2 |
|
Lokalprognosedaten, ogd-local-forecasting |
Weitere Daten (in Abklärung):
ogd-satellite-derived-lightningNote
Die Planung wird laufend aktualisiert und kann sich entsprechend ändern. Ab Juli 2024 wird sie für die Datenprodukte etappiert vorliegen und hier entsprechend kommuniziert.
Für alle Fragen zum Projekt, wenden Sie sich bitte an: opendata(at)meteoswiss.ch
Avec l'introduction de la Révision totale de l’ordonnance sur la météorologie et la climatologie (OMét) - prévu pour le 1er trimestre 2025 - MétéoSuisse exonérera des émoluments les données collectées sur mandat légal et mettra ainsi en œuvre l'accès aux données ouvertes, comme l'exige la Loi fédérale sur l’utilisation de moyens électroniques pour l’exécution des tâches des autorités (LMETA). La compatibilité souhaitée par MétéoSuisse avec la Directive de l'UE 'High Value Datasets (HVD)' (voir annexe, chapitre 3. «Météorologique») et les exigences de la LMETA entraînent un passage de l'accès aux données de 'Push' (c'est-à-dire sur demande/commande) à 'Pull' (c'est-à-dire en libre-service).
Depuis des décennies, MétéoSuisse met à disposition des données météorologiques et climatologiques au niveau international, européen et national. Depuis 2012, MétéoSuisse a en outre acquis de l'expérience dans la mise à disposition de données ouvertes (cf. jeux de données commençant par «ch.meteoschweiz...»). Pour ce faire, MétéoSuisse utilise l’Infrastructure fédérale de données géographiques IFDG, gérée par swisstopo.
L'accès aux données ouvertes doit être revu et simplifié afin que les personnes ayant des connaissances différentes en matière de technique de données et de météorologie puissent trouver sans peine les données souhaitées. Des descriptions orientées vers les applications et des informations contextuelles les aident à évaluer si, et dans quelles conditions, quelles données conviennent à une application souhaitée.
Notre mission est, de mettre à la disposition des personnes et des organisations des données ouvertes avec la même fiabilité et le même soin que ceux auxquels MétéoSuisse les a déjà habituées.
Notre stratégie pour la version 1.0 est, de permettre à tous les utilisateurs de télécharger des données ouvertes sous forme de fichiers via l'API STAC de l'IFDG.
La mise à disposition OGD de MétéoSuisse dans la version 1.0 répond ainsi à l'exigence de la directive HVD de l'UE de mettre à disposition des «ensembles de données en vue de leur réutilisation (...) sous la forme d’un téléchargement en masse» (Annexe, chapitre 3.2. a). L'exigence de rendre les jeux de données également disponibles par l’intermédiaire d’API sera mise en œuvre par MétéoSuisse au cours d'une étape ultérieure.
Nos principaux résultats pour la version 1.0 sont les suivants :
Nos principaux groupes d'utilisateurs pour la version 1.0 sont :
Note
Notre groupe d'utilisateurs est très large et varié. Nous avons choisi ce regroupement approximatif pour prioriser les fonctionnalités ainsi que les descriptions orientées vers l'application et les informations contextuelles des données. Les groupes sont listés de haut en bas en fonction de leur nombre (nombreux > peu).
Stratégie de priorisation
La feuille de route de la mise à disposition OGD
STAC collection name)| Version Beta | Version 1.0 | Ensuite | Plus tard |
|---|---|---|---|
| Télécharger manuellement un ou plusieurs fichiers via 'WebGUI' | Consulter des données sélectionnées par un 'API Features' | ||
| Obtenir un ou plusieurs fichiers de manière automatisée via l'API STAC de l'IFDG | |||
| Valeurs mesurées: Stations automatiques météorologiques, pluviométriques et de la couche limite (01, 02, 03) Stations manuelles pluviométriques et totalisateur (04, 05) Stations pollen (10) Radiosondages (12) |
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| Observations: Observations visuelles météorologiques (06) Observations phénologiques (11) |
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| Valeurs mesurées homogénéisées: Stations climatiques et stations climatiques de précipitations (07, 08) |
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| Données matricielles: Données climatiques spatiales basées sur le sol et les satellites (16, 17) Données climatiques spatiales basées sur les radars (xx) |
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| Données matricielles: Données radar de base et avancées (18, 19) Calculs combinés des précipitations (20) |
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| Données matricielles: Données de prévisions à court terme (13) Données de prévisions (14) |
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| Données ponctuelles: Données de prévisions locales (15) |
Note
La planification est actualisée en permanence et peut être modifiée en conséquence. A partir de juillet 2024, elle sera disponible par étapes pour les produits de données et sera communiquée ici en conséquence.
Pour toute question concernant le projet, veuillez vous adresser à : opendata(at)meteoswiss.ch
Con l'introduzione della Revisione totale dell’ordinanza sulla meteorologia e la climatologia (OMet) - previsto per il 1° trimestre del 2025 - MeteoSvizzera esenterà dalle tasse i dati raccolti nell'ambito del mandato legale, implementando così l'accesso ai dati aperti, come richiesto dalla Legge federale concernente l’impiego di mezzi elettronici per l’adempimento dei compiti delle autorità (LMeCA). La compatibilità con la Direttiva UE “High Value Datasets (HVD)” (vedi Allegato, Capitolo 3. “Dati meteorologici”), a cui MeteoSvizzera sta puntando, e i requisiti della LMeCA stanno portando a un cambiamento nell'accesso ai dati da “push” (cioè su richiesta/ordine) a “pull” (cioè tramite self-service).
MeteoSvizzera fornisce da decenni dati meteorologici e climatologici a livello internazionale, europeo e nazionale. Dal 2012, MeteoSvizzera ha anche accumulato esperienza nella fornitura di dati aperti (vedi i dataset che iniziano con “ch.meteoschweiz...”). A questo scopo, MeteoSvizzera utilizza l'Infrastruttura federale di dati geografici IFDG, gestita da swisstopo.
L'accesso ai dati aperti deve essere rivisto e semplificato in modo che persone con diversi livelli di tecnologia dei dati e di conoscenze meteorologiche possano trovare facilmente i dati desiderati. Le descrizioni orientate all'applicazione e le informazioni contestuali aiutano a valutare se e in quali condizioni i dati sono adatti all'applicazione desiderata.
La nostra missione è, fornire dati aperti a persone e organizzazioni con la stessa affidabilità e cura a cui sono già abituati da MeteoSvizzera.
La nostra strategia per la versione 1.0 è, consentire a tutti gli utenti di scaricare i dati aperti come file attraverso l'API STAC del IFDG.
La fornitura di OGD di MeteoSvizzera nella versione 1.0 soddisfa quindi il requisito della Direttiva HVD dell'UE di mettere a disposizione “le serie di dati (...) per il riutilizzo tramite download in blocco” (Allegato, capitolo 3.2. a). MeteoSvizzera implementerà il requisito di rendere disponibili i set di dati anche tramite API Features in una fase di implementazione successiva.
I nostri risultati più importanti per la versione 1.0 sono:
I nostri gruppi di utenti più importanti per la versione 1.0 sono:
[!NOTA] La nostra base di utenti è molto ampia e diversificata. Abbiamo scelto questo raggruppamento di massima per considerare prioritarie le funzionalità, le descrizioni orientate all'applicazione e le informazioni sul contesto dei dati. I gruppi sono elencati dall'alto verso il basso in base al loro numero (molti > pochi).
Strategia per la definizione delle priorità
Roadmap dell'offerta OGD
STAC collection name)| Versione Beta | Versione 1.0 | Successiva | Più tardi |
|---|---|---|---|
| Scaricare manualmente file singoli o multipli tramite una WebGUI | Interrogare i dati selezionati tramite una funzione API | ||
| Ottenere automaticamente file singoli o multipli tramite l'API STAC del BGDI | |||
| Valori misurati: Stazioni meteorologiche automatiche, pluviometriche automatiche e dello strato limite automatiche (01, 02, 03) Stazioni pluviometriche manuali e di precipitazione totalizzatori (04, 05) Stazioni pollini (10) Radiosondaggi (12) |
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| Osservazioni: Osservazione visuale meteorologiche (06) Osservazioni fenologiche (11) |
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| Valori misurati omogeneizzati: Stazioni climatologiche e climatologiche pluviometriche (07, 08) |
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| Dati a matrice: Dati climatici spaziali da terra e da satellite (16, 17) Dati climatici spaziali da radar (xx) |
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| Dati a matrice: Dati radar di base ed avanzati (18, 19) Calcoli di precipitazione combinati (20) |
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| Dati a matrice: Dati di previsione a breve termine (13) Dati di previsione (14) |
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| Dati puntuali: Dati delle previsioni locali (15) |
[!NOTA] La pianificazione è in continuo aggiornamento e può subire variazioni. A partire da luglio 2024, sarà disponibile per gradi per i prodotti di dati e comunicato qui di conseguenza.
Per tutte le domande sul progetto, si prega di contattare: opendata(at)meteoswiss.ch
With the introduction of the Totalrevision der Verordnung über die Meteorologie und Klimatologie (MetV) - expected in the 1st quarter of 2025 - MeteoSwiss will exempt the data collected under the legal mandate from fees and thus implement access to open data, as required by the Bundesgesetz über den Einsatz elektronischer Mittel zur Erfüllung von Behördenaufgaben (EMBAG). The compatibility with the EU's 'High Value Datasets (HVD)' Directive (see Annex, Chapter 3. ‘Meteorological’) that MeteoSwiss is striving for and the requirements of EMBAG are leading to a change in data access from 'push' (i.e. on request/order) to 'pull' (i.e. via self-service).
MeteoSwiss has been providing meteorological and climatological data at international, European and national level for decades. Since 2012, MeteoSwiss has also built up experience with the provision of open data (see datasets beginning with ‘ch.meteoschweiz...’). To this end, MeteoSwiss uses the Federal Spatial Data Infrastructure FSDI, which is operated by swisstopo.
Access to open data must be revised and simplified so that people with different levels of data technology and meteorological knowledge can easily find the required data. Application-orientated descriptions and contextual information help them to assess whether and under what conditions which data is suitable for a particular application.
Our mission is, to provide open data to people and organisations with the same reliability and care that they are already accustomed to from MeteoSwiss.
Our strategy for version 1.0 is, to enable all users to download open data as files via the STAC API of the FSDI.
The OGD provision of MeteoSwiss in version 1.0 thus fulfils the requirement of the EU's HVD Directive to make ‘datasets (...) available for re-use (...) through bulk download’ (Annex, Chapter 3.2. a). The requirement to make datasets also available via APIs will be implemented by MeteoSwiss in a later implementation stage.
Our primary outcomes for version 1.0 include:
Our primary users for version 1.0 include:
Note
Our user base is very broad and diverse. We have chosen this rough grouping to prioritise the functionalities as well as the application-oriented descriptions and context information of the data. The groups are listed from top to bottom according to their number (many > few).
Strategy for prioritisation
Roadmap of the OGD provision
STAC collection name)| Beta version | Version 1.0 | Next | Later |
|---|---|---|---|
| Manually download single or multiple files via a WebGUI | Query selected data via an API features | ||
| Obtain single or multiple files automatically via the STAC API of the FSDI | |||
| Measured values: Automatic weather stations, precipitation stations, boundary layer stations (01, 02, 03) Manual and totaliser precipitation stations (04, 05) Pollen stations (10) Radiosoundings (12) |
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| Observations: Meteorological visual observations (06) Phenological observations (11) |
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| Homogeneous measured values: Climate stations and precipitation-climate stations (07, 08) |
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| Grid data: Ground and satellite-based spatial climate data (16, 17) Radar-based spatial climate data (xx) |
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| Grid data: Basic and extended radar data (18, 19) Combined precipitation calculations (20) |
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| Grid data: Short-term forecast data (13) Forecast data (14) |
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| Point data: Local forecast data (15) |
Note
The planning is continuously updated and may change accordingly. From July 2024, it will be available on a staged basis for the data products and communicated here accordingly.
For all questions about the project, please contact: opendata(at)meteoswiss.ch
Ab hier nur auf Englisch | A partir d'ici, uniquement en anglais | Da qui in poi solo in inglese
Jump to the introduction in English above.
This repository is used by MeteoSwiss' project team to inform potential users interested in Open Data about the plans and to receive specific feedback from them on proposals.
Note
All information in this repository reflects the current state of work and is subject to change.
These are the current questions to the Open Data user community on which we are asking for feedback:
| Data category | ID | Question | Status | Since date |
|---|---|---|---|---|
| Surface | S1 | Aggregated (calculated) maximum and minimum? | Open for feedback | 2023-10-02 |
| Surface | S2 | Multi-hour or multi-day aggregated sums? | Open for feedback | 2023-10-02 |
| Surface | S3 | Mutation information? | Open for feedback | 2023-10-02 |
| Surface | S4 | Metadata for stations and parameters? | Open for feedback | 2023-10-02 |
| Atmosphere | A0 | no specific question yet | ... | ... |
| Model | M0 | no specific question yet | ... | ... |
| Grid | G0 | no specific question yet | ... | ... |
If you have any questions, please contact the project team: opendata(at)meteoswiss.ch
MeteoSwiss operates an extensive monitoring network, both on the ground (surface stations) and in the atmosphere, that enables it to collect round-the-clock meteorological data for the whole of Switzerland. These data form the basis for making weather forecasts, issuing bad weather warnings, and analysing climate change. Furthermore MeteoSwiss operates a weather model for forecasting and also generates gridded data sets.
This is the current status of the clarifications as to which data types can be made available (and how) under an Open Data license by MeteoSwiss, and which not:
| Can be made available as Open Data | in clarification if/how | cannot be made available as Open Data - with reasons) |
|---|---|---|
| Automatic weather stations | Aviation weather - These data are collected on behalf of and financed by professional aviation | |
| Manual precipitation stations | ||
| Visual observations | ||
| Climate stations "Swiss NBCN" | Records and extremes | |
| Swiss pollen monitoring stations | ||
| Phenological observations | ||
| Radio soundings | Observations from aircraft - Data does not belong to MeteoSwiss | |
| Windprofiler - Data does not belong to MeteoSwiss | ||
| Microwave radiometry - Data does not belong to MeteoSwiss | ||
| LIDAR and ceilometers - Data does not belong to MeteoSwiss | ||
| Satellite observations - Data does not belong to MeteoSwiss | ||
| Lightning detection network - Data does not belong to MeteoSwiss | ||
| Ozone measurements | ||
| Radiation monitoring network | ||
| INCA data (nowcasting) | ||
| COSMO/ICON data (forecasting) | ||
| Postprocessed local forecast data (data4web) | ||
| Spatial climate data | ||
| Radar and CompiPrecip data | ||
| Weather hazard data - Warnings for severe weather (wind, thunderstorm, rain, snow, heat, frost, slippery roads) |
For all types of data MeteoSwiss uses standard granularities. Depending on the application not all granularites are available. For measurement data the lowest granulartiy is usually called 'raw data' (Rohwert) or 'original data' (Originalwert). Higher granularities are called 'aggregations' or 'aggregated values'. The World Meteorological Organization (WMO) does issue guidelines on how national weather services have to aggregate values and MeteoSwiss does follow these guidelines.
If you need hourly, daily, monthly or yearly values, we strongly recommend that you download the according granularity. Downloading the raw data (10min) and calculating sums or means yourself, will not always lead to the same results! Furthermore for historic data it is possibly that manual data corrections have only been applied on higher granularities (like hourly or daily data), which means that historic raw data can still contain errors.
This is the overview of the granularities used by MeteoSwiss:
| Granularity | Name | Description | Used for |
|---|---|---|---|
| T | 10min value | At MeteoSwiss this is the standard granularity for realtime data of the automatic measurement network SwissMetNet (SMN) or the model output. Meteorological observations do also use this granularity but only offer values at fixed intervals like 6UTC, 12UTC and 18UTC (called "Terminwerte")! | SMN, OBS |
| H | Hourly value | Either aggregated from 10min values or provided by the instrument/network | Pollen |
| D | Daily value | Used throughout the MeteoSwiss measurement network before automatization in 1981 started. Today still used for manual precipitation and snow measurements. For automatic stations daily values are calculated using 10min values according to WMO guidelines. | NIME |
| M | Monthly value | Usually aggregated from daily values and widely used in climatology for homogenized data and norm values and for seasonal data. For some very old data series (pre 1864) only monthly data exists! | Homogeneous data series, Climate normals |
| Y | Yearly value | Usually aggregated from daily values and mostly used in climatology or climate change screnarios. | Climate change scenarios |
For measurement data MeteoSwiss provides an optimized directory structure separating older historical data, which is not updated regularly, and more recent data, which is updated more often. For realtime data we provide a third "now" directory with a high update frequency.
This is the overview:
| Type | Description | Update cycle | Used for |
|---|---|---|---|
| historical | From the start of the measurement until December 31st of last year | Once a year | Granularity M, D, H, T |
| recent | From January 1st of this year until yesterday | Daily at 12UTC | Granularity M, D, H, T |
| now | The most recent realtime data from yesterday 12UTC to now | Every 10min | Only Granularity H, T |
no type |
For certain data types this concept does not apply | varies | varies (e.g. Granularity Y) |
All reference time stamps at MeteoSwiss are in UTC! Depending on the granularity the time stamp does define different intervals:
15:50:01 to 16:00:00)15:10 to 16:00). Please note: Hourly values before 2018 were calculated differently based on the SYNOP schedule (ReferenceTS 16:00 = 14:50 to 15:40)!22.6.2023 6:10 UTC to 23.6.2023 6:00 UTC)1.6.2023 00:10 UTC to 30.6.2023 24:00 UTC)1.1.2023 00:10 UTC to 31.12.2023 24:00 UTC)Accordingly, it follows that:
Generally, columns are separated with a semicolon (;). The decimal divider is a full stop (.). Missing values are empty.
MeteoSwiss operates a network of land-based weather stations where current weather and climate data are automatically recorded. It covers all parts of the country and all altitude levels. The measurements are supplemented with a wide array of additional observations, ranging from manual recording of cloud cover and vegetation development, to measurements of fine particulate matter, through to a network of cameras that covers all major sections of terrain and mountain passes in Switzerland.
All MeteoSwiss surface stations have a name and an identfier consisting of three letters (e.g. BER for Bern / Zollikofen or LUG for Lugano). Data files use this station identifier in the file name throughout all directories. A list of all station identfiers with station names, coordinates, height etc. can be found in the according metadata section.
smn, smn-precip, smn-tower)SwissMetNet, the automatic measurement network of MeteoSwiss, comprises about 160 automatic stations with a full measurement program (smn). These stations deliver a multitude of current data on weather and climate in Switzerland every ten minutes. The network is supplemented by around 100 automatic precipitation stations (smn-precip). Together, these stations form the basis for the creation of reliable local weather forecasts as well as severe weather and flood warnings. Additionally MeteoSwiss operates three tower stations at 150m to 230m above ground for boundry layer measurements (smn-tower). The time series can begin before the introduction of automatic measurements in 1981; the three manually measured values per day are stored as individual 10-minute values ("term values").
| Dataset title | Measurement data from automatic weather stations |
|---|---|
| Data structure | see example files: smn, smn-precip, smn-tower |
| Data granularity | T, H, D, M and Y |
| Update frequency | yearly (historical), daily (recent) or hourly (now) |
| Format | CSV |
| Volume | ≤5.3 MB |
| Visualisation | SwissMetNet network map |
| Station metadata | see station list (CSV) |
| Parameter metadata | see parameter files: smn-T, smn-H, smn-D, smn-M and smn-Y |
| Additional remarks | One file per station. |
nime, tot)In addition to its automatic precipitation measurements, MeteoSwiss operates a manual precipitation monitoring network. Measurements are taken once a day and transmitted to MeteoSwiss via SMS. The network comprises 243 locations, 190 stations measure rainfall and snow, and 53 stations measure snow only (nime). Due to their long-series measurements, they are of great climatological significance. In mountainous areas that are difficult to access, around 57 totalisers are used which record the volume of precipitation for an entire year (tot).
| Dataset title | Measurement data from manual precipitation stations |
|---|---|
| Data structure | see example files: nime, tot |
| Data granularity | D, M and Y |
| Update frequency | yearly (historical), daily (recent) or hourly (now) |
| Format | CSV |
| Volume | ≤0.6 MB |
| Visualisation | NIME and TOT network map |
| Station metadata | see station list (CSV) |
| Parameter metadata | see parameter files: nime-D, nime-M, nime-Y and tot-Y |
| Additional remarks | One file per station. |
obs)The information on current weather events is supplemented by visual human observations. The atmospheric conditions around the observation site are described in detail.
| Dataset title | Measurement data from visual observations |
|---|---|
| Data structure | see example files: obs |
| Data granularity | T |
| Update frequency | yearly (historical), daily (recent) or hourly (now) |
| Format | CSV |
| Volume | ≤0.04 MB |
| Visualisation | OBS network map |
| Station metadata | see station list (CSV) |
| Parameter metadata | see parameter file: obs-T |
| Additional remarks | One file per station. |
nbcn, nbcn-precip)The Swiss National Basic Climatological Network "Swiss NBCN" connects the major ground-based stations within the MeteoSwiss monitoring network. It consists of 29 climate monitoring stations and 46 precipitation stations. The measurement series available in digital form for temperature, precipitation and hours of sunshine date back, in some cases, to the mid-nineteenth century. The measurement series are homogenised. Homogenised time series from other weather stations are also provided.
| Dataset title | Measurement data from the Swiss National Basic Climatological Network |
|---|---|
| Data structure | see example files: nbcn, nbcn-precip |
| Data granularity | D, M and Y |
| Update frequency | yearly (historical), daily (recent) or hourly (now) |
| Format | CSV |
| Volume | ≤0.9 MB |
| Visualisation | CLIMATE network map |
| Station metadata | see station list (CSV) |
| Parameter metadata | see parameter files: nbcn-D, nbcn-M and nbcn-Y |
| Additional remarks | One file per station. |
pollen)MeteoSwiss operates the national pollen monitoring network. This consists of 14 monitoring stations which cover Switzerland's most important climatic and vegetation regions. The measurements obtained provide invaluable information for those who suffer from allergies. Additionally since 2023 the new automatic pollen network is operational: for the first time in the world, instead of daily averages being available after a week, information is available in real time at an hourly resolution.
| Dataset title | Measurement data from the Swiss Pollen Monitoring Network |
|---|---|
| Data structure | see example files: pollen |
| Data granularity | H, D, M and Y |
| Update frequency | yearly (historical), daily (recent) or hourly (now) |
| Format | CSV |
| Volume | 0.6 MB |
| Visualisation | POLLEN network map |
| Station metadata | see station list (CSV) |
| Parameter metadata | see parameter files: pollen-H and pollen-D |
| Additional remarks | One file per station. |
phenology)The Swiss Phenology Network consists of 160 stations. Some 26 different plant species are observed in order to describe the vegetation development. On the basis of this information, it is possible to investigate the impact of climate change on the vegetation. The observations also serve to generate forecasting models for the start of flowering.
| Dataset title | Measurement data from the Swiss Phenology Network |
|---|---|
| Data structure | see example files: phenology |
| Data granularity | Y |
| Update frequency | yearly (historical) or daily (recent) |
| Format | CSV |
| Volume | ≤7.1 MB |
| Visualisation | PHENOLOGY network map |
| Station metadata | see station list (CSV) |
| Parameter metadata | see parameter file: phenology-Y |
| Additional remarks | One file for all stations. |
MeteoSwiss obtains relevant data for weather forecasting and climate analysis from the atmosphere. The properties and composition of the atmosphere are studied using various instruments and methods, including weather balloons, satellites and laser equipment. Weather radar stations play an important role, as they record precipitation and thunderstorms throughout Switzerland in real time.
radiosounding)MeteoSwiss performs soundings twice a day using weather balloon radiosondes. This allows important meteorology-related atmospheric values to be measured at high altitudes. The results of the latest radio soundings are made available in the form of data files (decoded data) and graphs (emagrams).
The radiosondes measure air pressure, temperature and humidity. Attached to a weather balloon and carried high into the atmosphere, the radiosonde also records the exact position, allowing altitude, wind speed and direction to be determined. The data obtained in this way are of great importance for weather forecasts and climate research. MeteoSwiss launches a weather balloon twice a day from the sounding station in Payerne. Special soundings are also carried out to determine other parameters such as ozone or aerosol concentrations. In addition, MeteoSwiss operators launch research flights, for which several radiosondes are attached to the same balloon. This allows the readings to be compared with each other, checked for quality and verified.
| Dataset title | Atmosphere data from radio sounding station Payerne |
|---|---|
| Data structure | see example file: radiosounding |
| Data granularity | T |
| Update frequency | 12h (00h, 12h UTC) |
| Format | CSV |
| Volume | 0.02 MB |
| Visualisation | Emagram |
| Station metadata | see station list (CSV) |
| Parameter metadata | see parameter file |
| Additional remarks | One file per station. |
Jump directly to 2.5.3. Postprocessed local forecast data (data4web).
The INCA nowcasting forecasts come for the period 0h- +6h.
The data is being updated according to the respective update frequency. For more information see the metadata in each NetCDF-File.
Jump directly 2.5.1.1. INCA precipitation - quantitative/qualitative.
Jump directly 2.5.1.2. INCA precipitation type - rain, snow, snow-rain, freezing rain, rain&hail.
Jump directly 2.5.1.3. INCA snowfall - quantitative/qualitative.
Jump directly 2.5.1.4. INCA snow accumulation & snowfall line.
Jump directly 2.5.1.5. INCA temperature.
Jump directly 2.5.1.6. INCA relative sunshine duration.
| Dataset title | INCA precipitation quantitative (based on CombiPrecip, RR) |
|---|---|
| Data structure | see example file: RR_INCA_202106280700.nc |
| Data granularity | Every 10min |
| Update frequency | Every 10min |
| Format | NetCDF |
| Volume | 1.7 MB |
| Parameter metadata | see example file |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | INCA precipitation quantitative extended forecast (based on CombiPrecip, RR_ext) |
|---|---|
| Data structure | see short forecast version example file: RR_INCA_202106280700.nc |
| Data granularity | Every 10min |
| Update frequency | 3h (00h, 03h, 06h, 09h etc. UTC) |
| Format | NetCDF |
| Volume | 20 MB |
| Parameter metadata | see example file |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | INCA precipitation qualitative (based on radar only, RP) |
|---|---|
| Data structure | see example file: RP_INCA_202106280700.nc |
| Data granularity | Every 5min |
| Update frequency | Every 5min |
| Format | NetCDF |
| Volume | 3.1 MB |
| Parameter metadata | see example file |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | INCA precipitation qualitative extended forecast (based on radar only, RP_ext) |
|---|---|
| Data structure | see short forecast version example file: RP_INCA_202106280700.nc |
| Data granularity | Every 5min |
| Update frequency | 3h (00h, 03h, 06h, 09h etc. UTC) |
| Format | NetCDF |
| Volume | 37 MB |
| Parameter metadata | see example file |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | INCA precipitation type for RR in 5 classes rain, snow, snow-rain, freezing rain, rain&hail (hail first 30min only, PT) |
|---|---|
| Data structure | see example file: PT_INCA_202106280700.nc |
| Data granularity | Every 10min |
| Update frequency | Every 10min |
| Format | NetCDF |
| Volume | 0.7 MB |
| Parameter metadata | see example file |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | INCA precipitation type for RR_ext extended forecast in 5 classes rain, snow, snow-rain, freezing rain, rain&hail (hail first 30min only, PT_ext) |
|---|---|
| Data structure | see short forecast version example file: PT_INCA_202106280700.nc |
| Data granularity | Every 10min |
| Update frequency | 3h (00h, 03h, 06h, 09h etc. UTC) |
| Format | NetCDF |
| Volume | 4.5 MB |
| Parameter metadata | see example file |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | INCA precipitation type for RP in 5 classes rain, snow, snow-rain, freezing rain, rain&hail (hail first 30min only, NT) |
|---|---|
| Data structure | see example file: NT_INCA_202106280700.nc |
| Data granularity | Every 5min |
| Update frequency | Every 5min |
| Format | NetCDF |
| Volume | 1.4 MB |
| Parameter metadata | see example file |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | INCA precipitation type for RP_ext extended forecast in 5 classes rain, snow, snow-rain, freezing rain, rain&hail (hail first 30min only, NT_ext) |
|---|---|
| Data structure | see short forecast version see example file: NT_INCA_202106280700.nc |
| Data granularity | Every 5min |
| Update frequency | 3h (00h, 03h, 06h, 09h etc. UTC) |
| Format | NetCDF |
| Volume | 8.5 MB |
| Parameter metadata | see example file |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | INCA Snowfall quantitative (based on CombiPrecip, RS) |
|---|---|
| Data structure | see example file: RS_INCA_202106280700.nc |
| Data granularity | Every 10min |
| Update frequency | Every 10min |
| Format | NetCDF |
| Volume | 0.4 MB |
| Parameter metadata | see example file |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | INCA Snowfall quantitative extended forecast (based on CombiPrecip, RS_ext) |
|---|---|
| Data structure | see short forecast version example file: RS_INCA_202106280700.nc |
| Data granularity | Every 10min |
| Update frequency | 3h (00h, 03h, 06h, 09h etc. UTC) |
| Format | NetCDF |
| Volume | 1.5 MB |
| Parameter metadata | see example file |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | INCA Snowfall qualitative (based on radar only, PN) |
|---|---|
| Data structure | see example file: PN_INCA_202106280700.nc |
| Data granularity | Every 5min |
| Update frequency | Every 5min |
| Format | NetCDF |
| Volume | 0.6 MB |
| Parameter metadata | see example file |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | INCA Snowfall qualitative extended forecast (based on radar only, PN_ext) |
|---|---|
| Data structure | see short forecast version example file: PN_INCA_202106280700.nc |
| Data granularity | Every 5min |
| Update frequency | 3h (00h, 03h, 06h, 09h etc. UTC) |
| Format | NetCDF |
| Volume | 2.9 MB |
| Parameter metadata | see example file |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | INCA New Snow Accumulation 24h (SH_BK_24) |
|---|---|
| Data structure | see example file: SH_BK_24_INCA_202106280700.nc |
| Data granularity | 24h |
| Update frequency | 10min |
| Format | NetCDF |
| Volume | 0.04 MB |
| Parameter metadata | see example file |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | INCA Snowfall line (ZS) |
|---|---|
| Data structure | see example file: ZS_INCA_202106280700.nc |
| Data granularity | 60min |
| Update frequency | 10min |
| Format | NetCDF |
| Volume | 12.2 MB |
| Parameter metadata | see example file |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | INCA Zero degree isotherm (Z0) |
|---|---|
| Data structure | see example file: Z0_INCA_202106280700.nc |
| Data granularity | 60min |
| Update frequency | 10min |
| Format | NetCDF |
| Volume | 12.2 MB |
| Parameter metadata | see example file |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | INCA temperature (TT) |
|---|---|
| Data structure | see example file: TT_INCA_202106280700.nc |
| Data granularity | 60min |
| Update frequency | 10min |
| Format | NetCDF |
| Volume | 12.2 MB |
| Parameter metadata | see example file |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | INCA Temperature extended (TT_ext) |
|---|---|
| Data structure | see short forecast version example file: TT_INCA_202106280700.nc |
| Data granularity | 60min |
| Update frequency | 3h (00h, 03h, 06h, 09h etc. UTC) |
| Format | NetCDF |
| Volume | 42 MB |
| Parameter metadata | see example file |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | INCA Dewpoint temperature (TD) |
|---|---|
| Data structure | see example file: TD_INCA_202106280700.nc |
| Data granularity | 60min |
| Update frequency | 10min |
| Format | NetCDF |
| Volume | 12.2 MB |
| Parameter metadata | see example file |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | INCA Dewpoint temperature Extended (TD_Ext) |
|---|---|
| Data structure | see short forecast version example file: TD_INCA_202106280700.nc |
| Data granularity | 60min |
| Update frequency | 3h (00h, 03h, 06h, 09h etc. UTC) |
| Format | NetCDF |
| Volume | ... |
| Parameter metadata | see example file |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | INCA Soil surface temperature (TG) |
|---|---|
| Data structure | see example file: TG_INCA_202106280700.nc |
| Data granularity | 60min |
| Update frequency | 10min |
| Format | NetCDF |
| Volume | 12.5 MB |
| Parameter metadata | see example file |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | INCA Relative sunshine duration (SU) |
|---|---|
| Data structure | see example file: SU_INCA_202106280700.nc |
| Data granularity | 10min |
| Update frequency | 10min |
| Format | NetCDF |
| Volume | 6.4 MB |
| Parameter metadata | see example file |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
The COSMO/ICON forecasting systems calculate future atmospheric conditions. MeteoSwiss uses the COSMO (Consortium for Small-scale Modeling) numerical weather forecasting model for the production of regional and local forecast products in the topographically challenging Alpine region. In order to be able to provide optimal probability forecasts for as many uses as possible, MeteoSwiss deploys two different ensemble configurations of COSMO: COSMO-1E and COSMO-2E. Together with the ECMWF forecasts, these form the basis for the daily weather forecasts produced by MeteoSwiss, as well as warnings of extreme weather conditions such as storms and precipitation events.
Several times a day, COSMO-1E and COSMO-2E calculate different forecasts respectively (known as “members”), each with slightly different initial conditions:
From this collection of forecasts, the “ensemble”, the probability of a certain weather event occurring can be calculated. The ensemble also provides a measure of the predictability of the expected weather situation and thus also an estimate for the forecast reliability. The data are available from these individual forecasts. In addition, derived values such as quantiles can also be ordered.
Using the numerical weather forecast models COSMO-1E and COSMO-2E, MeteoSwiss offers direct model outputs for the entire Alpine region in the form of hourly analyses or forecasts for up to five days ahead. Forecasts for the whole of Switzerland or the entire Alpine region are available for a wide range of parameters.
The MeteoSwiss forecast data (e.g. for parameters such as temperature, humidity, precipitation, wind, air pressure, geopotential, evaporation and radiation) can be obtained in numerous formats:
In principle, all of the parameters used in the local forecast on the website and in the MeteoSwiss App are available. Supplied in CSV format, the data can be integrated into the customer’s own data processing systems:
The postprocessed forecast data is based on a mix of different models (INCA, ICON-CH1-EPS, ICON-CH2-EPS, ECMWF) and is available for all ZIP-codes, SMN-stations and selected POI in the mountains as point data. The forecast is available for the time period from +0h to +192h and is being updated hourly. It is the same forecast data used in the MeteoSwiss app and on the website for each ZIP-code.
For each parameter there is a single file. Here we provide only a few parameters for review.
As for the geolocation of the data, the following metadata-files are being provided for mapping of the data:
| Dataset title | Hourly precipitation sum |
|---|---|
| Data structure | see example file (zipped CSV): VNUT12.LSSX.202309271300.rre150b0.csv |
| Data granularity | hourly |
| Update frequency | hourly |
| Format | CSV |
| Volume | 29.9 MB (unzipped) |
| Parameter metadata | see example file |
| Additional remarks | unit: mm or l/m2 |
| Dataset title | Hourly average temperature |
|---|---|
| Data structure | see example file (zipped CSV): VNUT12.LSSX.202309271300.tre200b0.csv |
| Data granularity | hourly |
| Update frequency | hourly |
| Format | CSV |
| Volume | 31.6 MB (unzipped) |
| Parameter metadata | see example file |
| Additional remarks | unit: °C |
| Dataset title | Daily Temperature minimum |
|---|---|
| Data structure | see example file: VNUT12.LSSX.202309271300.tre200dn.csv |
| Data granularity | hourly |
| Update frequency | hourly |
| Format | CSV |
| Volume | 0.2 MB (unzipped) |
| Parameter metadata | see example file |
| Additional remarks | unit: °C |
| Dataset title | Daily temperature maximum |
|---|---|
| Data structure | see example file: VNUT12.LSSX.202309271300.tre200dx.csv |
| Data granularity | hourly |
| Update frequency | hourly |
| Format | CSV |
| Volume | 0.2 MB |
| Parameter metadata | see example file |
| Additional remarks | unit: °C |
| Dataset title | Hourly sunshine duration |
|---|---|
| Data structure | see example file (zipped CSV): VNUT12.LSSX.202309271300.spr100h0.csv |
| Data granularity | hourly |
| Update frequency | hourly |
| Format | CSV |
| Volume | 30.9 MB (unzipped) |
| Parameter metadata | see example file |
| Additional remarks | unit: minutes |
Spatial climate data are statistically derived from surface data. Those spatial climate data, which contain radiation and cloud cover parameters, are derived from MeteoSat satellite data together with surface data. See the overview of spatial climate products (PDF). Frr each product see the "detailed product document(s)" below for further information, and the parameter metadata in each example file.
| Dataset title | Gridded precipitation data (RprelimD, RhiresD, RhiresM, RhiresY) |
|---|---|
| Detailed product documents | RprelimD: Daily Precipitation (preliminary analysis) RhiresD: Daily Precipitation (final analysis) RhiresM, RhiresY: Monthly and Yearly Precipitation |
| Data structure | see example files: RhiresD.nc, RhiresM.nc, RhiresY.nc |
| Data granularity | D, M and Y |
| Update frequency | according to granularity |
| Format | NetCDF |
| Volume | 1.1 MB for individual files, monthly files with daily data 13 MB |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | Gridded temperature data (TabsD, TminD, TmaxD, TabsM, TminM, TmaxM, TabsY, TminY, TmaxY) |
|---|---|
| Detailed product documents | TabsD, TminD, TmaxD: Daily Mean, Minimum and Maximum Temperature TabsM, TabsY: Monthly and Yearly Mean Temperature |
| Data structure | see example files: TabsD.nc, TabsM.nc, TmaxM.nc, TminY.nc |
| Data granularity | D, M and Y |
| Update frequency | according to granularity |
| Format | NetCDF |
| Volume | 1.1 MB for individual files, monthly files with daily data 13 MB |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | Gridded relative sunshine duration data (SreldD, SrelM, SrelY) |
|---|---|
| Detailed product documents | SrelD: Daily Relative Sunshine Duration SrelM, SrelY: Monthly and Yearly Relative Sunshine Duration |
| Data structure | see example files: SrelD.nc, SrelM.nc, SrelY.nc |
| Data granularity | D, M and Y |
| Update frequency | according to granularity |
| Format | NetCDF |
| Volume | 1.1 MB for individual files, monthly files with daily data 13 MB |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | Gridded global radiation (MSG.SIS.D, MSG.SIS.M, MSG.SIS.Y) |
|---|---|
| Detailed product documents | MSG.SIS.D, MSG.SIS.M, MSG.SIS.Y: Daily, monthly and yearly satellite-based global radiation |
| Data structure | see example files: MSG.SIS.D.nc, MSG.SIS.M.nc, MSG.SIS.Y.nc |
| Data granularity | D, M and Y |
| Update frequency | according to granularity |
| Format | NetCDF |
| Volume | 0.1 MB |
| Additional remarks | Coordinate System: WGS84 lat/lon EPSG:4326 |
| Dataset title | Gridded diffuse radiation (MSG.SISDIF.D, MSG.SISDIF.M, MSG.SISDIF.Y) |
|---|---|
| Detailed product documents | MSG.SISDIF.D, MSG.SISDIF.M, MSG.SISDIF.Y: Daily, monthly and yearly satellite-based global radiation |
| Data structure | see example files: MSG.SISDIF.D.nc, MSG.SISDIF.M.nc, MSG.SISDIF.Y.nc |
| Data granularity | D, M and Y |
| Update frequency | according to granularity |
| Format | NetCDF |
| Volume | 0.1 MB |
| Additional remarks | Coordinate System: WGS84 lat/lon EPSG:4326 |
| Dataset title | Gridded direct radiation (MSG.SISDIR.D, MSG.SISDIR.M, MSG.SISDIR.Y) |
|---|---|
| Detailed product documents | MSG.SISDIR.D, MSG.SISDIR.M, MSG.SISDIR.Y: Daily, monthly and yearly satellite-based global radiation |
| Data structure | see example files: MSG.SISDIR.D.nc, MSG.SISDIR.M.nc, MSG.SISDIR.Y.nc |
| Data granularity | D, M and Y |
| Update frequency | according to granularity |
| Format | NetCDF |
| Volume | 0.1 MB |
| Additional remarks | Coordinate System: WGS84 lat/lon EPSG:4326 |
| Dataset title | Gridded cloud fractional cover (MSG.CFC.D, MSG.CFC.M, MSG.CFC.Y) |
|---|---|
| Detailed product documents | MSG.CFC.D, MSG.CFC.M, MSG.CFC.Y: Daily, monthly and yearly satellite-based Cloud Fractional Cover |
| Data structure | see example files: MSG.CFC.D.nc, MSG.CFC.M.nc, MSG.CFC.Y.nc |
| Data granularity | D, M and Y |
| Update frequency | according to granularity |
| Format | NetCDF |
| Volume | 0.1 MB |
| Additional remarks | Coordinate System: WGS84 lat/lon EPSG:4326 |
Supplementing the conventional precipitation measurements taken at ground level meteorological stations, MeteoSwiss operates a network of five weather radar stations which record every type of precipitation and storms in real time, are fully automated and, between them, cover the whole of Switzerland.
The sites are
Radar and CombiPrecip data is being provided as HDF5 which is the common exchange format for radar data.
See the metadata in each HDF5-File for further information.
The radar data are divided into Basic radar, Advanced radar and CombiPrecip.
| Dataset title | Precip (RZC) |
|---|---|
| Data structure | see example file: RZC232371930VL.001.h5 |
| Data granularity | 5min |
| Update frequency | according to granularity |
| Format | HDF5 |
| Volume | 0.2 MB |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | MAX-ECHO (CZC) |
|---|---|
| Data structure | see example file: CZC232371930VL.801.h5 |
| Data granularity | 5min |
| Update frequency | according to granularity |
| Format | HDF5 |
| Volume | 0.2 MB |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | ECHO TOP 15dBZ (EZC) |
|---|---|
| Data structure | see example file: EZC232371930VL.815.h5 |
| Data granularity | 5min |
| Update frequency | according to granularity |
| Format | HDF5 |
| Volume | 0.1 MB |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | ECHO TOP 45dBZ (EZC) |
|---|---|
| Data structure | see example file: EZC232371930VL.845.h5 |
| Data granularity | 5min |
| Update frequency | according to granularity |
| Format | HDF5 |
| Volume | 0.1 MB |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | Probability of Hail (POH) |
|---|---|
| Data structure | see example file: BZC232371930VL.845.h5 |
| Data granularity | 5min |
| Update frequency | according to granularity |
| Format | HDF5 |
| Volume | 0.2 MB |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | Maximum Expected Severe Hail Size (MESHS) |
|---|---|
| Data structure | see example file: MZC232371930VL.850.h5 |
| Data granularity | 5min |
| Update frequency | according to granularity |
| Format | HDF5 |
| Volume | 0.2 MB |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
| Dataset title | CombiPrecip (CPC) |
|---|---|
| Data structure | see example file: CPC2335513304_00060.001.h5 |
| Data granularity | 60min (1h accumulation) |
| Update frequency | 10min |
| Format | HDF5 |
| Volume | 0.3 MB |
| Additional remarks | Coordinate System: Swiss LV95 EPSG:2056 |
In clarification if/how can be made available as open data.
