A31H:
Subseasonal to Seasonal Forecasting of High-Impact Weather and Climate Events Posters
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A31H:
Subseasonal to Seasonal Forecasting of High-Impact Weather and Climate Events Posters
Subseasonal to Seasonal Forecasting of High-Impact Weather and Climate Events Posters
Session ID#: 22804
Session Description:
There is growing interest in the scientific, operational and applications communities in developing sub-seasonal to seasonal (S2S) forecasts (2 weeks to a season ahead) to provide early warning of high-impact meteorological events such as tropical cyclones, floods, droughts, heat and cold waves. An extensive database of S2S forecasts and hindcasts from operational centers has been created by the WWRP/WCRP S2S project that enables sources of sub-seasonal predictability (e.g. sea-ice, soil moisture, MJO, stratosphere-troposphere interactions etc.) to be studied, forecast skill assessed, and early warning systems developed tailored to user needs. Similarly, the Subseasonal Experiment (SubX) is a United States interagency research project selected via a NOAA-MAPP Climate Test Bed competition to test subseasonal prediction models for National Weather Service operations. Contributions are solicited on all aspects of S2S prediction, with emphasis on studies making use of the S2S Project database and those contributing to SubX.
Primary Convener: Duane Edward Waliser, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Conveners: Arun Kumar, NOAA/NCEP, Climate Prediction Center, College Park, MD, United States, Frederic Vitart, ECMWF, Reading, United Kingdom and Elizabeth A Barnes, Boston University, Faculty of Computing and Data Sciences; Earth & Environment, Boston, United States
Chair: Duane Edward Waliser, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
OSPA Liaison: Duane Edward Waliser, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Index Terms:
3337 Global climate models [ATMOSPHERIC PROCESSES]
3339 Ocean/atmosphere interactions [ATMOSPHERIC PROCESSES]
3374 Tropical meteorology [ATMOSPHERIC PROCESSES]
4522 ENSO [OCEANOGRAPHY: PHYSICAL]
Abstracts Submitted to this Session:
Probabilistic empirical prediction of seasonal climate: evaluation and potential applications (283241)
See more of: Atmospheric Sciences
