| sensing-meteo-31 |
European Centre for Medium-Range Weather Forecasts (ECMWF) |
Set III - Atmospheric model Ensemble 15-day forecast (ENS) |
data (format: GRIB), service (forecast) |
weather forecast |
NA |
Open/for a fee |
7 hours |
Depending on user type |
Ensemble of forecasts providing an estimate of the reliability of a single forecast. |
|
Global |
0.1° |
NA-present |
1,3,6 hours depending on variable |
https://www.ecmwf.int/en/forecasts/datasets/set-iii |
https://products.ecmwf.int/shopping-cart/orders/new |
| sensing-meteo-32 |
European Centre for Medium-Range Weather Forecasts (ECMWF) |
Set VI - Atmospheric Model Ensemble extended forecast (ENS extended) |
data (format: GRIB), service (forecast) |
weather forecast |
NA |
Open/for a fee |
daily |
Depending on user type |
ENS extended comprises ensembles of individual forecasts up to 46 days as well as post-processed products of average conditions (e.g. weekly averages) and the associated uncertainty. |
Atmospheric and land-surface variables (complete list at the resource URL) |
Global |
0.4° |
NA-present |
sub-daily, weekly |
https://www.ecmwf.int/en/forecasts/datasets/set-vi |
https://products.ecmwf.int/shopping-cart/orders/new |
| sensing-meteo-33 |
European Centre for Medium-Range Weather Forecasts (ECMWF) |
Set V - Seasonal 7-month forecast (SEAS) |
data (format: GRIB), service (forecast) |
weather forecast |
NA |
Open/for a fee |
monthly |
Depending on user type |
SEAS comprises ensembles of individual forecasts coupled to an ocean model and post-processed products of average conditions (e.g. monthly averages) with the associated uncertainty. Products are available up to 7 months ahead. |
Atmospheric variables (complete list at the resource URL) |
Global |
0.4° or 0.75° |
NA-present |
monthly |
https://www.ecmwf.int/en/forecasts/datasets/set-v |
https://products.ecmwf.int/shopping-cart/orders/new |
| sensing-meteo-34 |
European Centre for Medium-Range Weather Forecasts (ECMWF) |
Open data |
data (format: GRIB2), service (forecast) |
weather forecast |
NA |
Open |
6-12 hours depending on variable |
CC-4.0-BY |
A subset of ECMWF real-time forecast data are made available to the public free of charge. |
Atmospheric and land-surface variables (complete list at the resource URL) |
Global |
0.25° |
NA-present |
12 hours |
https://www.ecmwf.int/en/forecasts/datasets/open-data |
https://confluence.ecmwf.int/display/DAC/ECMWF+open+data%3A+real-time+forecasts+from+IFS+and+AIFS |
| sensing-meteo-35 |
MeteoSwiss (Swiss Federal Office for Meteorology and Climatology) |
Open Government Data |
data (format: station data in tables, gridded data in HDF5) |
meteorological data (station observations and numerical weather forecast) |
depending on product, see documentation for more details |
Open (starting 1 April 2025) |
5min to daily depending on product category |
https://meteoswiss.github.io/opendata-terms-of-use/ |
Public access to all data MeteoSwiss produces and/or manages, including monitoring data from a range of automatic and manual station networks, the entire suite of numberical weather predictions products of it's own model instances, and climatological data products. More info: https://www.meteoswiss.admin.ch/services-and-publications/service/open-government-data.html |
a large range of meteorological variables (see documentation for complete list) |
Switzerland + buffer |
1km for most gridded products |
depending on product, see documentation for more details |
1 minute to 1 year, depending on product |
https://github.com/MeteoSwiss/opendata/blob/main/README.md |
https://github.com/MeteoSwiss/opendata-api/blob/main/README.md |
| sensing-meteo-36 |
SLF (WSL Institute for Snow and Avalanche Research SLF) |
Open Government Data |
data (format: csv or json) |
snow monitoring data (automatic stations or manual observers) |
depending on product, see documentation for more details |
Open |
daily |
CC-4.0-BY |
Public access to all snow data SLF produces and/or manages, including monitoring data from a range of automatic and manual station networks. More info: https://www.slf.ch/en/services-and-products/slf-data-service/ |
a large range of snow related variables (see documentation for complete list) |
Switzerland |
station locations |
depending on product, see documentation for more details |
30 min, hourly, daily, or bi-weekly depending on product |
https://www.slf.ch/en/services-and-products/slf-data-service/ |
https://measurement-api.slf.ch/ |
| sensing-meteo-37 |
Norwegian Meteorological Institute (Meteorologisk institutt) |
Gridded 1 x 1 km climate and hydrological projections for Norway |
data (format: netCDF) |
Climate data and forecast; Hydrological data and forecast |
https://publikasjoner.nve.no/rapport/2016/rapport2016_59.pdf |
Open |
N.A. |
Norwegian license for public data (NLOD) and CC-4.0-BY |
An ensemble of ten EURO-CORDEX GCM/RCM simulations, each representing two alternative emission pathways (RCP4.5 and RCP8.5), were bias-corrected using an empirical quantile mapping method. These corrected datasets covering the period 1971-2100 were then forced with a spatially distributed, gridded version of the HBV model to generate daily time series of different hydrological components. |
Atmospheric and hydrological variables (complete list at the resource URL) |
Norway |
1 km |
1971-2100 |
daily |
https://thredds.met.no/thredds/catalog/KSS/Klima_i_Norge/utgave2015/TX/MPI_RCA/hist/catalog.html |
N.A. |
| sensing-meteo-38 |
Climate Change in Australia |
Application-ready gridded (5 km) datasets |
data (format: netCDF and netCDF4) |
climate forecast |
https://www.climatechangeinaustralia.gov.au/en/obtain-data/application-ready-data/ |
Open |
N.A. |
N.A. |
This collection of application-ready datasets combine gridded observed data with gridded climate projections to produce plausible future climate data at daily, monthly, seasonal and annual time steps on the high-resolution 5 km grid. |
Atmospheric variables (complete list at the resource URL) |
Australia |
5 km |
2016-2104 |
daily (soon also monthly, seasonal and annual aggregation) |
https://www.climatechangeinaustralia.gov.au/en/obtain-data/download-datasets/#Change |
N.A. |
| sensing-meteo-39 |
Oak Ridge National Laboratory |
Daymet |
data (format: netCDF) |
meteorological data |
N.A. |
Open |
Daily |
N.A. |
Gridded 1 x 1 km daily weather dataset for North American and Hawaii. Daymet uses statistical modeling techniques to provide long-term, continuous, gridded estimates of daily weather and climatology variables from ground-based observations. |
Atmospheric variables (complete list at the resource URL) |
North America + Hawaii |
1 km |
1980 - present |
daily |
https://daymet.ornl.gov/ |
https://daymet.ornl.gov/web_services |
| sensing-meteo-40 |
Pacific Climate Impacts Consortium |
Canadian Downscaled Climate Scenarios - Univariate (CMIP5): CanDCS-U5 |
data (format: netCDF and ASCII) |
Climate data and forecast |
N.A. |
Open |
N.A. |
N.A. |
Statistically downscaled climate scenarios based on model output from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Downscaled scenarios were constructed from 27 Global Climate Models (GCMs) and 3 Representative Concentration Pathways (RCPs) from CMIP5, using the BCCAQv2 downscaling method described below. The RCPs represent low (RCP2.6), intermediate (RCP4.5) and high (RCP8.5) rates of greenhouse gas emissions added to the atmosphere between 2006 and 2100. Projections can be selected for any combination of model, RCP, and time period. |
Atmospheric variables (complete list at the resource URL) |
Canada |
10 km |
1950-2100 |
daily |
https://data.pacificclimate.org/portal/downscaled_gcms/map/ |
N.A. |
