Name: S2S global sub-seasonal to seasonal ensemble real-time forecasts from multiple NWP and research centres since 2015
Creator: ECMWF
Published: 2026-04-01T00:00:00Z
License: https://object-store.os-api.cci2.ecmwf.int:443/cci2-prod-catalogue/licences/s2s-licence/s2s-licence_a000623204527c3eb9945a8d201add5f529ab53b06b455e756519476000698af.pdf

The Sub-seasonal To Seasonal dataset (S2S) consists of global ensemble real-time forecasts and reforecasts from thirteen numerical weather prediction (NWP) and research centres. 
S2S project behind the dataset started in 2013 as a joint initiative of the World Weather Research Programme (WWRP) and the World Climate Research Programme (WCRP).
The goal of S2S project was to improve sub-seasonal forecast skill through combining multiple forecasting systems, enable multi-model evaluations and enhance knowledge sharing between operational centres.
Although S2S project ended at the end of 2023, data archiving continues and is currently undergoing another five-year phase (2024–2028).
There are two related datasets in ECDS:
- real-time forecasts (s2s-forecasts)
- reforecasts complementing the real-time data (s2s-reforecasts)
The S2S real-time forecasts have been available since January 2015 (depending on the centre). 
The typical forecast length is from 34 to 65 days with ensemble sizes varying from 4 to 101.
S2S variables are available on surface, soil, oceanic, potential temperature and selected pressure levels.
The access to the S2S real-time data is allowed with a delay of 48 hours or 1 week depending on the centre (see details in S2S licence).
Please consult the Documentation section for details, including data sources, model configurations and limitations.
The data discovery and sample downloads can be done either via ECDS forms (under Download tab) or alternatively via dedicated MARS S2S catalogue (MARS stands for ECMWF's Meteorological Archival and Retrieval System).
(S2S picture used - WMO Lead Centre for Sub-seasonal Prediction Multi-Model Ensemble (example of Precipitation weekly mean anomalies))

S2S licence

S2S global sub-seasonal to seasonal ensemble reforecasts from multiple NWP and research centres since 2015

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S2S global sub-seasonal to seasonal ensemble real-time forecasts from multiple NWP and research centres since 2015

origin

year

month

time

level_type

variable

forecast_type

leadtime_hour

level_value

area_group

data_format

With this option selected the entire available area will be provided

global

area

https://object-store.os-api.cci2.ecmwf.int:443/cci2-prod-catalogue/licences/s2s-licence/s2s-licencev4_019c90324b2436d5da61dda7c00cb7d446cdeb01baa76a321286d57a440eec00.md

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