The International Grand Global Ensemble (TIGGE) dataset consists of global medium-range ensemble forecasts from thirteen numerical weather prediction (NWP) centres. 
The dataset has been available since October 2006. TIGGE was established as a key component of THORPEX: a World Weather Research Programme to accelerate the improvements in the accuracy of 1-day to 2 week high-impact weather forecasts (THORPEX stands for THe Observing system Research and Predictability EXperiment)
The typical forecast length is from 10 to 15 days with ensemble sizes varying from 12 to 51. Some centres also provide complementary high-resolution forecasts. TIGGE variables are available on surface, soil, potential temperature, potential vorticity and selected pressure levels.
Although the original ten-year THORPEX program ended at the end of 2014, data archiving continues and is currently undergoing another five-year phase (2024–2028).
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 TIGGE catalogue (MARS stands for ECMWF's Meteorological Archival and Retrieval System).
(TIGGE picture used - courtesy of Mio Matsueda, TIGGE Museum)

ECMWF

TIGGE global medium-range ensemble forecasts from multiple NWP centres since 2006

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)
There are two types of the reforecasts - fixed and on-the-fly depending on the model and its current configuration.
The S2S reforecasts are covering varying periods since 1981. 
The typical forecast length is from 34 to 65 days (the same as in the real-time forecasts) with ensemble sizes varying from 4 to 33.
S2S variables are available on surface, soil, oceanic, potential temperature and selected pressure levels.
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 - courtesy of Mio Matsueda, S2S Museum)

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

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))

Hours	Number of requests	Number of users	Downloaded data
Last 1H	986	67	67 GB
Last 2H	2211	86	122 GB
Last 3H	3468	94	225 GB
Last 6H	7396	148	652 GB
Last 12H	14397	199	1556 GB
Last 24H	28973	248	2941 GB

	Catalogue entry	Number of users	Downloaded data
1	s2s-forecasts	102	1357 GB
2	tigge-forecasts	99	882 GB
3	s2s-reforecasts	73	805 GB

	Country	Number of requests	Number of users	Downloaded data
1	FR	43	4	172 GB
2	GB	501	13	149 GB
3	ES	10866	11	26 GB
4	IT	8	2	14 GB
5	DK	1	1	3 GB
6	SK	1	1	2 GB

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