We are pleased to announce that the Global seasonal forecasts of river discharge and related hydrological variables from a multi-model ensemble dataset has been published in the Climate Data Store (CDS).
The dataset provides operational forecasts (from July 2021) of a number of Essential Climate Variables (or ECVs) from multiple hydrological and land surface models:
- mesoscale Hydrologic Model, mHM
- PCR-GLOBWB
- Joint UK Land Environment Simulator, JULES
- HTESSEL
The models are initialised using ERA5 and ERA5-Land before simulating the seasonal river discharge (and related variables) forecasts using the seasonal meteorological forecasts from the European Centre for Medium-range Weather Forecasts (ECMWF) 51-member ensemble seasonal forecasting system, SEAS5.
This dataset complements the Global Flood Awareness System (GloFAS) seasonal forecast data as it provides more hydrological variables additional to river discharge. This is of considerable benefit as these additional aspects of the hydrological state are relevant to many areas of water management across a range of sectors.
The dataset is produced on behalf of the Copernicus Climate Change Service (C3S) by the Global MULti-model hYdrological SeaSonal prEdictionS - ULYSSES consortium led by the Helmholtz-Zentrum für Umweltforschung (UFZ) with the UK Centre for Ecology and Hydrology (UKCEH), and Utrecht University.
ULYSSES data are now available to download interactively over the CDS web interfaces at:
https://cds.climate.copernicus.eu/cdsapp#!/dataset/seasonal-ulysses-forecast?tab=form
or programmatically using the CDS API service.
Extensive documentation is also available: https://confluence.ecmwf.int/x/Zx2kDQ
For any enquiries or feedback regarding the above, please contact us.
ECMWF Support
