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
With the introduction of the total revision of the Ordinance on Meteorology and Climatology (MetV) - expected in the 1st quarter of 2025 - Meteoschweiz will exempt the data collected on a statutory mandate from fees and thus implement access to open data, as required by the Federal Law on Use of electronic means to fulfill official tasks (EMBAG). The compatibility sought by MeteoSwiss with the EU's 'High Value Datasets (HVD)' directive (see appendix, Chapter 3. "Meteorology") and the requirements of EMBAG lead to a change in data access from 'push' (ie on request /order) to 'pull' (ie self-service).
MeteoSwiss has been providing meteorological and climatological data at international, European and national levels for decades. Since 2012, MeteoSchweiz has also built up experience in providing open data (see data sets starting with "ch.meteoschweiz..."). For this purpose, MeteoSwiss uses the federal geodata infrastructure BGDI, which is operated by swisstopo.
Access to open data should be revised and simplified so that people with different data technology and meteorological knowledge can easily find the data they want. Application-oriented descriptions and context information help you to assess whether and under what conditions which data is suitable for a desired application.
Our mission is to make open data available to people and organizations with the same reliability and care that they are already used to from MeteoSwiss.
Our strategy for version 1.0 is to enable all users to download open data as files via the BGDI's STAC API.
The OGD provision from MeteoSchweiz in version 1.0 thus corresponds to the requirement of the EU HVD Directive to "make data sets (...) available for further use via mass download (...)" (Appendix, Chapter 3.2. a). MeteoSwiss will implement the requirement to make data sets available via APIs in a later implementation stage.
Our key findings for version 1.0 are:
Our most important user groups for version 1.0 are:
note
Our user base is very broad and diverse. We chose this rough grouping to prioritize the functionalities as well as the application-oriented descriptions and contextual information of the data. The groups are listed from top to bottom according to their number (many > few).
Prioritization strategy
OGD deployment roadmap
STAC collection name )| Beta version | Version 1.0 | Next | |
|---|---|---|---|
| Main functionalities | Download individual or multiple files via the BGDI STAC API | Select individual or multiple files for download via a WebGUI | |
| Ground station data | Automatic weather stations – measured values, ogd-smnAutomatic precipitation stations – measured values, ogd-smn-precipAutomatic boundary layer stations – measured values, ogd-smn-towerManual precipitation stations – measurements, ogd-nimeTotalizer precipitation stations – measured values, ogd-totPollen stations – measured values, ogd-pollen | ||
| Atmospheric data | Radio soundings – measured values, ogd-radiosounding | Raman LIDAR for Meteorological Observation (RALMO) LIDAR Ceilometer CHM15K Ozone measurements (soil: Dobson, Brewer; atmosphere: O3 radiosoundings, SOMORA) Swiss Alpine Climate Radiation Monitoring SACRaM | |
| Observations | Meteorological eye observations, ogd-obsPhenological observations, ogd-phenology | ||
| Climate data | Climate stations – homogeneous measured values, ogd-nbcnPrecipitation climate stations – Homogeneous measurements, ogd-nbcn-precip | ||
Ground-based spatial climate data – grid data, ogd-surface-derived-gridSatellite-based spatial climate data – grid data, ogd-satellite-derived-grid | Radar-based spatial climate data – grid data, ogd-radar-derived-grid | ||
Climate standard values, ogd-climate-normals | Climate norms – grid data, ogd-climate-normals-grid | Climate scenarios – ..., ogd-climate-scenarios | |
| Radar data | Basic radar data – grid data, ogd-basic-radarAdvanced radar data – grid data, ogd-advanced-radar | Combined precipitation calculations – grid data, ogd-combiprecip | 3D radar data (under investigation) |
| Forecast data | Short-term forecast data – grid data, ogd-nowcasting | ICON-CH1 forecast data - grid data, ogd-forecasting-icon-ch1ICON-CH2 forecast data - grid data, ogd-forecasting-icon-ch2 | |
Local forecast data, ogd-local-forecasting |
Further data (under clarification):
ogd-satellite-derived-lightning note
The planning is constantly updated and may change accordingly. From July 2024, it will be available in stages for the data products and communicated accordingly here.
For all questions about the project, please contact: opendata(at)meteoswiss.ch
Avec l'Ittroduction de la révision total de l'radonnance sur la météorology et la Climatology (omét) - Prévu pour le 1er trimestre 2025 - météosuisse exonérera les données collectées sur mandate légal et metra ainsi l'Ashuvre Données Overtes , comme l'exige la Loi federale sur l'utilisation de moyens électroniques pour l'exécution des tâches des autorités (LMETA). The compatibilité souhaitée for MétéoSuisse with the Directive of the UE 'High Value Datasets (HVD)' (voir annexe, chapter 3. "Météorologique") and the exigences of the LMETA entraînent a 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 with disposition of data météorologiques and climatologiques at international, European and national levels. Depuis 2012, MétéoSuisse on outer acquis de l'experience dans la mise à disposition de données ouvertes (cf. jeux de données commençant par «ch.meteoschweiz...»). Pour ce faire, MétéoSuisse uses the Federal Infrastructure of 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 persons et des organizations des données ouvertes avec la même fiabilité et le même soin que 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 the API STAC de l'IFDG.
The 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, chapter 3.2. a). The 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.
The basic results for version 1.0 are the following:
The principle group of users for version 1.0 is:
note
Our group of utilisators is very large and varied. 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).
Prioritization strategy
The feuille de route de la mise à disposition OGD
STAC collection name )| Beta version | Version 1.0 | Ensuite | Plus tard |
|---|---|---|---|
| Télécharger manual and additional files via 'WebGUI' | Consultant of the données selectionnées for an 'API Features' | ||
| Obtenir a ou plusieurs fichiers de manière automatisée via the API STAC de l'IFDG | |||
| Values measured: Automatic meteorological, pluviometric and couch limit stations (01, 02, 03) Manual pluviométriques and totalizer stations (04, 05) Station pollen (10) Radio sondage (12) | |||
| Observations: Observations visual météorologiques (06) Observations phenologiques (11) | |||
| Values measured homogeneously: Air conditioning stations and precipitation air conditioning stations (07, 08) | |||
| Données matricielles: Données climatiques spatiales bases sur le sol et les satellites (16, 17) Spatial climatic data bases on radars (xx) | |||
| Données matricielles: Données radar de base et advanced (18, 19) Calculations combined des predictions (20) | |||
| Données matricielles: Données de previews à court terme (13) Données de previews (14) | |||
| Données ponctuelles: Données de previews locales (15) |
note
The plan is actualized in permanence and can be modified as a result. A part of July 2024, the series is available for stages for the products of données and is communicated ici en conséquence.
For all questions concerning the project, you should address it to: opendata(at)meteoswiss.ch
With the introduction of the total revision of the meteorology and climatology (OMet) - planned for the 1st trimester of 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 electronici per l'adempimento dei compiti delle autorità (LMeCA). The compatibility with the Direttiva UE “High Value Datasets (HVD)” (vedi Allegato, Capitolo 3. “Dati meteorologici”), a cui MeteoSvizzera is puntando, a requirement of the LMeCA is immediately portando a un cambiamento nell'accesso ai dati dati dati da “push ” (cioè su richiesta/ordine) a “pull” (cioè tramite self-service).
MeteoSvizzera fornisce dati decenni dati meteorologici and climatologici a livello internationale, europeo and nazionale. Dal 2012, MeteoSvizzera has also accumulated esperienza nella fornitura di dati aperti (vedi i dataset che iniziano con “ch.meteoschweiz...”). In this regard, MeteoSvizzera uses the federal infrastructure of the geographical data IFDG, based on the Swiss policy.
The access to this data is designed to be rivisto e semplificato in modo che persone with diverse levels of technology of data and conoscenze meteorologicalhe possano trovare facilmente i dati desiderati. The descriptions orientate all'applicazione and the information contestuali are valutare se e in quali condizioni i dati also suitable for all'applicazione desiderata.
The new mission is, fornire the aperti aperti a persone and organizzazioni with the stessa affidabilità e cura a cui sono già abituati the MeteoSvizzera.
The new strategy for version 1.0 is, you consent to the use of the scaricare and the data come from the file at the API STAC of the IFDG.
The format of the OGD of MeteoSvizzera in version 1.0 is the same as the requirement for the Direttiva HVD of the UE to meet a disposition “the series of data (...) for the download by download in block” (Allegato, capitolo 3.2. a). MeteoSvizzera implementerà the requirement for rendering available and set the data with other API features in a phase of successful implementation.
The results are important for version 1.0:
Our main groups are important for version 1.0:
[!NOTA] The base of the user is very ample and diversified. Abbiamo scelto this raggroupamento di massima to considerare prioritarie the functionality, the descriptions orientate all'applicazione and the information sul contesto dei dati. The groups also have their own elements on the other side of the bass in the base of the loro number (molti > pochi).
Strategy to define the priorities
Roadmap of the offer OGD
STAC collection name )| Beta version | Version 1.0 | Successiva | Più tardi |
|---|---|---|---|
| Scaricare manualmente file singoli or multipli tramite una WebGUI | Interrogate the data selection using an API function | ||
| Another automatic file singoli or multiplier tramite the API STAC del BGDI | |||
| Valori misurati: Automatic meteorological, automatic pluviometric and automatic stratolimit stations (01, 02, 03) Stations pluviometriche manuali and precipitazione totalizzatori (04, 05) Pollini Stations (10) Radiosondaggi (12) | |||
| Observations: Observation visual meteorological (06) Observations fenologiche (11) | |||
| Valori misurati omogeneizzati: Climatological and pluviometric climatological stations (07, 08) | |||
| Data on the matrix: Spatial climatic data on the terra and satellite (16, 17) Spatial climatic data on the radar (xx) | |||
| Data on the matrix: Data radar from base and advanced (18, 19) Combined precipitation calculations (20) | |||
| Data on the matrix: Dates of prevision and breve dates (13) Prevision data (14) | |||
| Data points: Local preview data (15) |
[!NOTA] The piano is continuously aggiornamento and subject to variations. A part of the luglio 2024, is available gradually for the products of the data and communications that are consequential.
For the domain of the project, please contact: opendata(at)meteoswiss.ch
With the introduction of the total revision of the Ordinance on Meteorology and Climatology (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 Federal Law on the use of electronic means to fulfill official tasks (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' (ie on request/order) to 'pull' (ie via self-service).
MeteoSwiss has been providing meteorological and climatological data at international, European and national levels 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-oriented descriptions and contextual information help you 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 organizations 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 prioritize 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 prioritization
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 totalizer precipitation stations (04, 05) Pollen stations (10) Radiosoundings (12) | |||
| Observations: Meteorological visual observations (06) Phenological observations (11) | |||
| Homogeneous measured values: Climate stations and precipitation-climate stations (07, 08) | |||
| Grid data: Ground and satellite-based spatial climate data (16, 17) Radar-based spatial climate data (xx) | |||
| Grid data: Basic and extended radar data (18, 19) Combined precipitation calculations (20) | |||
| Grid data: Short-term forecast data (13) Forecast data (14) | |||
| 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
From here only in English | A part of the company, unique in English | Da qui in poi solo in English
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 analyzing 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 - for 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 sounds | 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 granularities are available. For measurement data the lowest granularity is usually called 'raw data' or 'original data'. 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 possible 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 real-time data of the automatic measurement network SwissMetNet (SMN) or the model output. Meteorological observations do so use this granularity but only offer at fixed intervals like 6utc, 12utc and 18utc (called "appointment values")! | Smn, Obs |
| H | Hourly Value | Either aggregated from 10min Values or Provided by the Instrument/Network | Pollen |
| D | Daily Value | Used through the Meteoswiss Measurement Network Before Automation in 1981 Started. Today Still Used For Manual Precipitation and Snow Measurements. For automatic stations daily value are calculated using 10min value according to wmo guidelines. | Nime |
| M | Monthly Value | Usually aggregated from daily value and widely used in climatology for homogenized data and standard value and for seasonal data. For some very old data Series (Pre 1864) Only Monthly Data Exist! | Homogeneous Data Series, Climate Normals |
| Y | Yearly value | Usually aggregated from daily value 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. For realtime data we provides 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 (EG 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 (Referecets 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:
General, 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 Station Where Current Weather and Climate Data Are Automatically Recorded. It Covers All Parts of the Country and All Altitude Levels. The Measurements Arene 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 (EG BER for Bern / Zollikofen or LUG for Lugano). Data files use this station identifier in the file name throughout all directors. 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 Station With A Full Measurement Program ( smn ). Thesis 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, thesis stations form the base for the creation of reliable local weather forecasts as well as Severe weather and flood warning. Additionally Meteoswiss Operates Tower Stations at 150m to 230m above ground for boundry layer measurement ( smn-tower ). The Time Series Can Begin Before The Introduction of Automatic Measurements in 1981; The Three Manual Measured Values per day are stored as individual 10-minute value ("term value").
| 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 |
| Visualization | Swissmetnet Network Map |
| Metadata station | Lake Station List (CSV) |
| Parameter metadata | See parameter files: smn-T , smn-H , smn-D , smn-M and smn-Y |
| Additional Remarks | One file by 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 Mountinous Are That Are Difficult to Access, Around 57 Totalists 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 |
| Visualization | Nime and dead network map |
| Metadata station | Lake Station List (CSV) |
| Parameter metadata | See parameter files: nime-D , nime-M , nime-Y and tot-Y |
| Additional Remarks | One file by station. |
obs )The Information on Current Weather Events is supplemented by visual human observations. The Atmospheric Conditions Around the Observation Site Aren Descredbed 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 |
| Visualization | OBS Network Map |
| Metadata station | Lake Station List (CSV) |
| Parameter metadata | See Parameter File: obs-T |
| Additional Remarks | One file by station. |
nbcn , nbcn-precip )The Swiss National Basic Climatological Network "Swiss NBCN" Connects the Major Ground-Based Station Within The Meteoswiss Monitoring Network. It Consists of 29 Climate Monitoring Stations and 46 Precipitation Stations. The Measurement Series Available in Digital Form for Temperatures, Precipitation and Hours of Sunshine Date Back, in some cases, to the mid-nineteenth Century. The Measurement Series are homogenized. Homogenized Time Series from other Weather Station are 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 |
| Visualization | Climate Network Map |
| Metadata station | Lake Station List (CSV) |
| Parameter metadata | See parameter files: nbcn-D , nbcn-M and nbcn-Y |
| Additional Remarks | One file by station. |
pollen )Meteoswiss Operates The National Pollen Monitoring Network. This Consists of 14 Monitoring Stations which cover Switzerland's Most important climatic and vegetation region. The Measurements Obained Provide Invaluable Information for Those Who Suffer from Allergy. 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 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 |
| Visualization | Pollen Network map |
| Metadata station | Lake Station List (CSV) |
| Parameter metadata | Lake parameter files: pollen-H and pollen-D |
| Additional Remarks | One file by station. |
phenology )The Swiss Phenology Network Consists of 160 Stations. Some 26 Different plans Species are observed in Order to Describe the Vegetation Development. On the base of this information, it is possible to investigate the impact of climate change on the vegetation. The observations thus serenate 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 |
| Visualization | Phenology Network Map |
| Metadata station | Lake 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 Station 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 Radio Mondes. 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 So Records The Exact Position, Allowing Altitude, Wind Speed and Direction to Beermined. The Data Obained 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 therefore Carried out to determine other parameters search as ozone or aerosol concentrations. In addition, MeteoSwiss Operator's launch research flights, for which Several Radiosondes Are Attached to the Same Balloon. This allows the reading 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 |
| Visualization | Emagram |
| Metadata station | Lake Station List (CSV) |
| Parameter metadata | See parameter file |
| Additional Remarks | One file by station. |
Jump Directly to 2.5.3. Postprocessed Local Forecast Data (Data4web).
The Inca Novcasting 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 temperatures.
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 | 1.7MB |
| 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 | 20MB |
| 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 | 3.1MB |
| 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 | 37MB |
| 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 | 1.4MB |
| 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 | 0.4MB |
| 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 | 1.5MB |
| 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 | Incca 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 temperatures (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 | 42MB |
| 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 | 12.5MB |
| 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, thesis Form the Basis for the Daily Weather Forecasts Produced by Meteoswiss, as well as warning of extreme weather Conditions Search 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 So Provides A Measure of the Predictability of the Expected Weather Situation and Thus So to Estimate for the Forecast Reliability. The Data Are Available from these individual forecasts. In addition, Derived Values Search as Quantiles Can So 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 (EG for Parameters Search AS Temperature, Humidity, Precipitation, Wind, Air Pressure, Geopotial, Evaporation and Radiation) Can Be Obained 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 system:
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 about 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 provides only a flo -parameters for review.
As for the geolocation of the data, the following metadata-files are stez 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 | Lake 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 temperatures maximum |
|---|---|
| Data Structure | Lake Example File: VNUT12.LSSX.202309271300.TRE200DX.CSV |
| Data granularity | Hourly |
| Update frequency | Hourly |
| format | CSV |
| Volume | 0.2MB |
| 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 statistical derived from Surface Data. Those spatial climate data, which contain radiation and cloud cover parameters, are derived from meteosate 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, Tmmm, Tmaxm, Tabsy, Tminy, Tmaxy) |
|---|---|
| Detailed Product Documents | Tabsd, Tmind, Tmaxd: Daily Mean, minimum and maximum temperatures 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.ssis.m, msg.ssis.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.ssisdif.d, msg.sSisdif.m, msg.sSisdif.y) |
|---|---|
| Detailed Product Documents | Msg.sSisdif.d, msg.sSisdif.m, msg.sSisdif.y: Daily, Monthly and Yearly Satellite-Based Global Radiation |
| Data Structure | See Example Files: Msg.Sisdif.d.nc, msg.sSisdif.m.nc, msg.sSisdif.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.sSisdir.m, msg.sSisdir.y) |
|---|---|
| Detailed Product Documents | Msg.sSisdir.d, msg.sSisdir.m, msg.sSisdir.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 Radar Every Type of Precipitation and Storms in Real Time, Are Fully Automated And, Between, Cover The Whole Of Switzerland.
The Sites Are
Radar and Combreprecip Data Is Being Provided As HDF5 which is the common excchange 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 | 0.2MB |
| 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 | 0.2MB |
| 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 | 0.2MB |
| 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 | 0.2MB |
| 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.
