Available EUMETSAT data buckets are listed below with the corresponding mount point in case of using ready workflow. The buckets are available from the whole EWC (including ECMWF side) without credentials.
Note
Please note that using EWC does not change license or conditions of use. Please consult the original source of each dataset for more details.
Warning
Please note that all buckets are updated on best-effort basis and should not be used for operational workloads. For operational usage, we recommend to use services provided by the original data providers.
EUMETSAT Data Buckets
| ascat.metop-abc.level-1b.native | /eumetsatdata/ascat | 2012-10-22T11:00:00Z - 2013-04-24T08:57:00Z |
| cmsaf-cloud-type.meteosat-0-degree.level-2.netcdf-4 | /eumetsatdata/cloud | 2004-2017 |
| rainfall_accumulation.composite.opera.bufr | /eumetsatdata/opera-rainfall-accumulation-bufr | 15 Dec 2010 - current |
| iasi.metop-a.level-1c.native | /eumetsatdata/iasi | 2007-2020 |
| mviri.meteosat-0-degree.level-15.native | /eumetsatdata/mviri | 1981-2017 |
| nwc-saf.0-degree.level-2 | /eumetsatdata/nwcsaf | 2019-2021 |
| nwc-saf.0-degree.level-2-{year} | /eumetsatdata/nwcsaf-2022 | 2022 - current |
| nwc-saf.0-degree.level-2-cf | /eumetsatdata/nwcsaf-cf | 2019-2020 |
| seviri.meteosat-0-degree.level-15.native | /eumetsatdata/seviri | 2020 |
| drought-and-vegetation.prototype-datacube.netcdf | /eumetsatdata/psdc | |
era5.ecmwf.analyses-eo-subset.grib 1 | - | 2005/01 - 2024/02 |
seviri.meteosat-rss.level-15.netcdf 2 | - | 06/05/2008 - 17/09/2021 |
- ERA5 subset contains following parameters: O3, q, t, u, v from all model levels, r from all pressure levels, and mwd1, mwd2, mwd3, mwp1, mwp2, mwp3, swh, swh1, swh2, swh3, 10u, 10v, 2d, 2t,, and ci from surface ↩
- Made available on temporary basis until 01/2026 ↩
OPERA data
Regarding the data, please refer the EUMETNET documentation
| rainfall_accumulation.composite.opera.bufr | /eumetsatdata/opera-rainfall-accumulation-bufr | 15 Dec 2010 - current |
| rainfall_accumulation.composite.opera.hdf5 | /eumetsatdata/opera-rainfall-accumulation-hdf5 | 4 Sep 2012 - current |
| rainfall_rate.composite.opera.bufr | /eumetsatdata/opera-rainfall-rate-bufr | 15 Dec 2010 - current |
| rainfall_rate.composite.opera.hdf5 | /eumetsatdata/opera-rainfall-rate-hdf5 | 4 Sep 2012 - current |
| reflectivity.composite.opera.bufr | /eumetsatdata/opera-reflectivity-bufr | 15 Dec 2010 - current |
| reflectivity.composite.opera.hdf5 | /eumetsatdata/opera-reflectivity-hdf5 | 4 Sep 2012 - current |
OPERA-SEVIRI data
OPERA-SEVIRI ML/AI Fusion dataset – a static training dataset for AI/ML applications containing OPERA weather radar composites and the SEVIRI instrument rapid scan data interpolated to the same spatial grid with OPERA weather radar data. Please consult documentation for more details: OPERA SEVIRI DataCube report.v3.pdf
Please note that using EWC does not change license or conditions of use. Please consult EUMETNET documentation and Data policy | EUMETSAT OPERA data and SEVIRI data respectively for more details.
| rainfall_accumulation.composite.opera-seviri.netcdf | - | 2018 - 2023 |
| rainfall_rate.composite.opera-seviri.netcdf | - | 2018 - 2023 |
| reflectivity.composite.opera-seviri.netcdf | - | 2018 - 2023 |
| seviri.meteosat-rapid-scan.opera-seviri-level-15.netcdf | - | 2018 - 2023 |
GeoRing data
Following GeoRing source data are available in the EWC data buckets. Please note that these are not included in the workflow to mount data via FUSE mount.
Dataset | Format | Bucket | Details |
Himawari | NetCDF 4 | s3://rep.ahi-jma-nrt-fulldisk.ahixxx10.himawari8.level10.netcdf | Currently 3 days from each month since 2015. To be populated with all data since 2015 |
GOES-GVAR | Area | s3://rep.imager_noaa_class.gvar_img.goes-[08-15].l0.area | All available data copied to EWC |
GOES-PreGVAR | Area | s3://rep.vissr_noaa_class.pre_gvar.goes-[01-07].l0.native | All available data copied to EWC |
SMS | Area | s3://rep.vissr_noaa_class.pre_gvar.sms-[01-02].l0.native | All available data copied to EWC |
Using the data directly from workloads
Recommended way
It is advisable to use the data directly from workloads (scripts / applications). Please consult e.g. following resources for more help:
- Python: s3 using Python libraries - European Weather Cloud Knowledge Base - ECMWF Confluence Wiki
- rclone: Object storage: How to use rclone - European Weather Cloud Knowledge Base - ECMWF Confluence Wiki
- S3cmd (use --no-sign-request for public buckets): Object storage: How to use s3cmd and s3fs
- General instructions: S3 from command line
While not recommended, you can also use FUSE mounts to access the buckets. For that, please consult Mounting EUMETSAT data buckets using FUSE