The Sub-seasonal to Seasonal (S2S) forecast technical committee teleconference Session 1 (Session 1 for EU, Asia, and Australia and Session 2 for EU and North America) was hosted by the European Centre for Medium-Range Weather Forecasts (ECMWF) and chaired by Dr. Manuel Fuentes, senior member of the ECMWF Meteorological Data Archive Retrieval System (MARS) team on 25 Jan, 2022. Two members of the ANSO-MISSPAD team, Professor Qing Bao and Special Research Assistant Jinxiao Li from the Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS), attended the conference to share experiences on the numerical model updates, data sharing approaches, work proposals and future plans. Participating agencies also included the China Meteorological Administration (CMA), the Bureau of Meteorology (BoM) of Australian Government, the India Meteorological Department (IMD), the International Research Institute for Climate and Society (IRI) of Columbia Climate School, the Japan Meteorological Agency (JMA), the Korea Meteorological Administration (KMA), and the United Kingdom Meteorological Office (UKMO).
The S2S Prediction Project was jointly launched by the World Weather Research Programme (WWRP) and the World Climate Research Programme (WCRP) in Nov 2013, intending to improve the forecast skill for high-impact weather events on the S2S timescale. The project is currently in its second phase (Nov 2018 - Dec 2023). The FGOALS-f2 model, established by the ANSO-MISSPAD team, joined this project in Oct 2020 and has provided forecast products for users worldwide ever since, including temperature, pressure, precipitation, sea ice, typhoons, etc. These data are now available on the ECMWF and CMA websites. The IAP of CAS is officially recognized as one of the meteorological source data centers of WMO, and releases prediction data on the S2S platform (the prediction system is IAP-CAS, WMO code is 291, abbreviated as ANSO).
The conference summarized the latest progress of the major climate models over the EU, Asia, and Australia regions in S2S prediction, mainly discussing the use of S2S data, the update of each model in 2021, the newly added meteorological variables and model data, as well as the plan for 2022-2023. ANSO-MISSPAD, as a new member, made a brief introduction to the participants, and reported the improvement plans in the initialization update and downscaling of the model.
S2S prediction is an important part of seamless prediction. Improving the accuracy of S2S prediction is of great value to reduce the loss of meteorological disasters and deal with international emergencies. The ANSO-MISSPAD team is currently providing real-time forecast, and also historical reforecast data for a total of 20 years (1999-2018) from Feb 4, 2022. Looking ahead, ANSO-MISSPAD will continue to improve its prediction skills and provide public products for the countries and regions along the Belt and Road, and for global users, and contribute more scientific solutions to global public governance and sustainable development.
Fig 1. Screenshot of the S2S technical committee teleconference.
Fig 2. WMO S2S real-time forecast data status table updated on Feb 12, 2022 (https://apps.ecmwf.int/datasets/history/s2s-prod/),
where the second column shows the S2S forecast data from the ANSO-MISSPAD team (abbreviated as ANSO).
Gray shading indicates normal data status, blank indicates no data at the moment, and colored indicates the data changed.
Source:
TANG Yao， ZHOU Siyuan，WEI Ke & BAO Qing
Institute of Atmospheric Physics, Chinese Academy of Sciences
Tel: 86-10-84097121
Email: anso-public@anso.org.cn
Location：No.16 Lincui Road, Chaoyang District, Beijing, China
