• Login
  • Register

About

S2S, sub-seasonal to seasonal prediction project, is a WWRP/THORPEX-WCRP joint research project established to improve forecast skill and understanding on the sub-seasonal to seasonal time scale, and promote its uptake by operational centres and exploitation by the applications community.

CMA, one of the two S2S data archiving center, is responsible for collecting the S2S data from all data providers, performing basic quality check, archiving into both the MARS system and the online disk storage, and providing data service.

The S2S data portal provides both free text and faceted search method to access forecast and reforecast data in format of GRIB2. Up to now, list of parameters provided by each partner is here.

Notice/News more

Special collection in AGU's Journal of Geophysical Research - Atmospheres & Geophysical Research Letters on topics related to S2S Prediction We would like to draw your attention to a new special collection in AGU's Journal of Geophysical Research - Atmospheres & Geophysical Research Letters on topics related to Subseasonal-to-Seasonal (S2S) Prediction. Manuscripts will be accepted from anyone in the community starting May 1. Special Section Title: Bridging Weather and Climate: Subseasonal-to-Seasonal (S2S) Prediction Dates for Manuscript Submission: May 1, 2018 - April 29, 2019 Description: Bridging the prediction gap between weather and climate forecasts, Subseasonal-to-Seasonal (S2S) prediction is an area of active research addressing the high demand for skillful forecasts on these time scales. The NOAA Modeling, Analysis, Predictions and Projections (MAPP) Program Subseasonal to Seasonal (S2S) Prediction Task Force, in affiliation with the international S2S Prediction Project, is spearheading key research and providing a framework for needed weather-climate and research–operational community interactions. This Special Collection will present results from these research initiatives and the broader S2S community. The Collection will feature contributions to the understanding of predictability and processes at S2S time scales, and the potential to advance their operational prediction. Points of Contact Elizabeth Barnes [CSU]: eabarnes@atmos.colostate.edu Andrea Lang [U of Albany]: alang@albany.edu Kathleen Pegion [GMU]: kpegion@gmu.edu

SubX data is now available! The Subseasonal Experiment (SubX) is a project under the NOAA Climate Test Bed, which helps expedite the transition of research to NOAA’s operational modeling centers that actually produce the forecasts given to the public. The SubX team’s goal is to combine global models, which each have different strengths and weaknesses, and test the benefit of each model and the multi-model approach for week 3-4 outlooks. More information is available at the website: http://cpo.noaa.gov/News/News-Article/ArtMID/6226/ArticleID/1554/Newly-released-model-forecasts-could-help-advance-NOAA’s-week-3-4-outlooks The SubX data has just been released and is now available in the IRI Data Library: http://iridl.ldeo.columbia.edu/SOURCES/.Models/.SubX/ The SubX web site link is here: http://cola.gmu.edu/kpegion/subx/

Progress

Update time:2017-01-24
Model Data status Next milestone Next deadline
CMA Operational
ECMWF Operational
JMA Operational
HMCR Operational
ISAC-CNR Operational
NCEP Operational
KMA Operational
BoM Operational
ECCC Operational
Météo-France Operational
UKMO Operational