| sensing-meteo-21 |
C3S-CDS |
LAPrec - Alpine gridded monthly precipitation data since 1871 derived from in-situ observations |
data (format: NetCDF-4) |
climate data |
https://cds.climate.copernicus.eu/datasets/insitu-gridded-observations-alpine-precipitation?tab=documentation |
Open, to be requested |
Every second year |
None |
This dataset, also known as the Long-term Alpine Precipitation Reconstruction (LAPrec), provides gridded fields of monthly precipitation for the Alpine region (eight countries). |
Precipitation |
Alpine region (approximately 43–49°N, 4–17.5°E, land area only) |
5 km |
1971 - 2020 |
monthly |
https://cds.climate.copernicus.eu/datasets/insitu-gridded-observations-alpine-precipitation?tab=overview |
https://cds.climate.copernicus.eu/how-to-api |
| sensing-meteo-22 |
C3S-CDS |
E-OBS (interpolation) |
data (format: NetCDF-4) |
climate data |
https://cds.climate.copernicus.eu/datasets/insitu-gridded-observations-europe?tab=documentation |
Open, to be requested |
6 months |
To use in non-commercial research and education projects only |
E-OBS is a daily gridded land-only observational dataset over Europe. The blended time series from the station network of the European Climate Assessment & Dataset (ECA&D) project form the basis for the E-OBS gridded dataset. All station data are sourced directly from the European National Meteorological and Hydrological Services (NMHSs) or other data holding institutions. |
Atmospheric, ocean-wave and land-surface variables (complete list at the resource URL) |
Pan-European |
0.10° or 0.25° |
|
daily |
https://cds.climate.copernicus.eu/datasets/insitu-gridded-observations-europe?tab=overview |
https://cds.climate.copernicus.eu/how-to-api |
| sensing-meteo-23 |
C3S-CDS |
Nordic gridded temperature and precipitation data from 1961 to present derived from in-situ observations (interpolation) |
data (format: NetCDF-4) |
climate data |
https://cds.climate.copernicus.eu/datasets/insitu-gridded-observations-nordic?tab=documentation |
Open, to be requested |
6 months |
None |
The Nordic Gridded Climate Dataset (NGCD) is a high resolution, observational, gridded dataset of daily minimum, maximum and mean temperatures and daily precipitation totals, covering Finland, Sweden and Norway. Spatial interpolation methods are applied to observational datasets to create gridded datasets. |
Temperature and precipitation |
Fennoscandia (Finland, Norway, Sweden) |
1 km |
1961 - present |
daily |
https://cds.climate.copernicus.eu/datasets/insitu-gridded-observations-nordic?tab=overview |
https://cds.climate.copernicus.eu/how-to-api |
| sensing-meteo-24 |
C3S-CDS |
Essential climate variables for water sector applications derived from climate projections |
data (format: NetCDF) |
climate data |
https://cds.climate.copernicus.eu/datasets/sis-ecv-cmip5-bias-corrected?tab=documentation |
Open, to be requested |
N.A. |
All model output in the CMIP5 archive is available for "non-commercial research and**educational purposes." A subset (about three-quarters of the models) of the data has also been released for "unrestricted" use. |
This dataset contains 4 Essential Climate Variables (ECV) for the 18 bias adjusted Global Climate Models (GCM) from CMIP5: |
Temperature and precipitation |
Global |
0.5° |
1978 - 2100 |
daily |
https://cds.climate.copernicus.eu/datasets/sis-ecv-cmip5-bias-corrected?tab=overview |
https://cds.climate.copernicus.eu/how-to-api |
| sensing-meteo-25 |
C3S-CDS |
Climate extreme indices and heat stress indicators derived from CMIP6 global climate projections |
|
climate data |
https://cds.climate.copernicus.eu/datasets/sis-extreme-indices-cmip6?tab=documentation |
Open, to be requested |
No expected updates |
These data are strictly for use in non-commercial research and education projects only. Scientific results based on these data must be submitted for publication in the open literature without delay. |
he dataset provides climate extreme indices related to temperature and precipitation as defined by the Expert Team on Climate Change Detection and Indices (ETCCDI), as well as selected heat stress indicators (HSI). The indices are provided for historical and future climate projections (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5) included in the Coupled Model Intercomparison Project Phase 6 (CMIP6) and used in the 6th Assessment Report of the Intergovernmental Panel on Climate Change (IPCC). This dataset provides a comprehensive source of pre-calculated and consistent ETCCDI and heat stress indicators commonly used by the climate science and impact communities. |
Temperature, precipitation and related variables |
Global |
From 0.5° x 0.5° to 2.8125° x 2.8125° depending on the model |
From 1850 to 2300 for the whole dataset. Shorter for most of the models and products. |
Yearly, monthly, daily |
https://cds.climate.copernicus.eu/datasets/sis-extreme-indices-cmip6?tab=overview |
https://cds.climate.copernicus.eu/how-to-api |
| sensing-meteo-26 |
C3S-CDS |
Precipitation monthly and daily gridded data from 1979 to present derived from satellite measurements |
data (format: NetCDF-4) |
climate data |
https://cds.climate.copernicus.eu/datasets/satellite-precipitation?tab=documentation |
Open, to be requested |
Quarterly |
None |
Precipitation estimates from the analysis of the Global PRecipitation Climatology Project (GPCP). |
Precipitation |
Global |
1° (daily), 2.5° (monthly) |
1996-present (daily), 1979-present (monthly) |
monthly, daily |
https://cds.climate.copernicus.eu/datasets/satellite-precipitation?tab=overview |
https://cds.climate.copernicus.eu/how-to-api |
| sensing-meteo-27 |
C3S-CDS |
Daily and monthly Global Interpolated RAinFall Estimation (GIRAFE) data derived from satellite observations |
data (format: NetCDF-4) |
climate data |
https://cds.climate.copernicus.eu/datasets/satellite-precipitation-microwave-infrared?tab=documentation |
Open, to be requested |
No updates |
All intellectual property rights of the CM SAF products belong to EUMETSAT |
GIRAFE provides global estimates of precipitation based on satellite observations. |
Precipitation |
Global |
1° |
2002-2022 |
daily, monthly |
https://cds.climate.copernicus.eu/datasets/satellite-precipitation-microwave-infrared?tab=overview |
https://cds.climate.copernicus.eu/how-to-api |
| sensing-meteo-28 |
European Centre for Medium-Range Weather Forecasts (ECMWF) |
Artificial Intelligence Forecasting System (AIFS) Machine Learning data |
data (format: GRIB2), service (forecast) |
weather forecast |
https://doi.org/10.48550/arXiv.2406.01465 |
open |
6 hours. The data are released 1 hour after the real-time dissemination schedule. |
CC-4.0-BY |
The AIFS consists of a deterministic model and an ensemble model. |
Atmospheric variables (complete list at the resource URL) |
Pan-European |
0.25° |
NA-present |
6 hours (deterministic model); 12 hours (ensemble model) |
https://www.ecmwf.int/en/forecasts/dataset/aifs-machine-learning-data |
https://confluence.ecmwf.int/display/DAC/ECMWF+open+data%3A+real-time+forecasts+from+IFS+and+AIFS |
| sensing-meteo-29 |
European Centre for Medium-Range Weather Forecasts (ECMWF) |
MARS Catalogue |
data (format: various), service (forecast) |
weather forecast |
Depending on specific dataset |
open |
Depending on specific dataset |
CC-4.0-BY |
The MARS catalogue contains several prediction datasets, like COSMO-LEPS, Limited Area Ensemble Forecasting (ALADIN-LAEF), Sub-seasonal to seasonal prediction (S2S), THORPEX Interactive Grand Global Ensemble (TIGGE), output from the ENSEMBLES project, and hydrological data like European Land Data Assimilation System to predict Floods and Droughts (ELDAS) . |
Depending on specific dataset |
Depending on specific dataset |
Depending on specific dataset |
Depending on specific dataset |
Depending on specific dataset |
https://confluence.ecmwf.int/display/UDOC/MARS+user+documentation |
https://www.ecmwf.int/en/forecasts/access-forecasts/access-archive-datasets |
| sensing-meteo-30 |
European Centre for Medium-Range Weather Forecasts (ECMWF) |
Set I: Atmospheric Model high resolution 10-day forecast (HRES) |
data (format: GRIB1), service (forecast) |
weather forecast |
NA |
Open/for a fee |
6 hours |
Depending on user type |
Single prediction that uses observations, prior information about the Earth-system, and ECMWF's highest-resolution model. |
Atmospheric and hydrological variables (complete list at the resource URL) |
Global |
0.1° |
NA-present |
1, 6,12 hours depending on variable |
https://www.ecmwf.int/en/forecasts/datasets/set-iii |
https://products.ecmwf.int/shopping-cart/orders/new |
