A43K:
Subseasonal to Seasonal Prediction of Weather and Climate II
A43K:
Subseasonal to Seasonal Prediction of Weather and Climate II
Subseasonal to Seasonal Prediction of Weather and Climate II
Session ID#: 10961
Session Description:
There is a growing interest in the scientific, operational and applications communities in developing sub-seasonal to seasonal (S2S) forecasts (2 weeks to a season) that fill the gap between medium-range weather and seasonal forecasts. Sub-seasonal forecasting is at a relatively early stage of development yet operational models are beginning to exhibit some skill based on a number of sources of sub-seasonal predictability (e.g. sea-ice, soil moisture, MJO, stratosphere-troposphere interactions etc.). This session seeks contributions on all aspects of S2S, with emphasis on relevant phenomena and mechanisms responsible for predictability, design of S2S forecast systems, forecast quality and uncertainty quantification, and approaches to leverage S2S forecasts for applications, especially to mitigate natural hazards. Contributions that exploit the newly established WWRP/WCRP S2S project database are particularly welcome.
Primary Convener: Andrew William Robertson, Center for Climate Systems Research, New York, United States
Conveners: Frederic Vitart, ECMWF, Reading, United Kingdom, Arun Kumar, NOAA/NCEP, Climate Prediction Center, College Park, MD, United States and Duane Edward Waliser, Jet Propulsion Laboratory, Pasadena, CA, United States
Chairs: Andrew William Robertson, Center for Climate Systems Research, New York, United States and Arun Kumar, NOAA/NCEP, Climate Prediction Center, College Park, MD, United States
OSPA Liaison: Andrew William Robertson, Center for Climate Systems Research, New York, United States
Cross-Listed:
- NH - Natural Hazards
Co-Sponsor(s):
- AMS: American Meteorological Society -
Index Terms:
0550 Model verification and validation [COMPUTATIONAL GEOPHYSICS]
1817 Extreme events [HYDROLOGY]
3337 Global climate models [ATMOSPHERIC PROCESSES]
4315 Monitoring, forecasting, prediction [NATURAL HAZARDS]
Abstracts Submitted to this Session:
Development of a Subseasonal North American Multi-Model Ensemble Prediction System (Invited) (69742)
See more of: Atmospheric Sciences