A076
High Impact Event Prediction on Subseasonal to Interannual Timescales
High Impact Event Prediction on Subseasonal to Interannual Timescales
Session ID#: 76885
Session Description:
Subseasonal to interannual predictions have significant value to many sectors including agriculture, transportation, shipping, defense, and more. Advances in climate and weather modeling have led to extended use of models for prediction from weeks 3-4 to the interannual time-scale (i.e. sub-seasonal to decadal), spanning the weather and climate research communities. This session highlights advances in sub-seasonal to interannual prediction of high impact phenomena, such as precipitation (i.e. riverine flooding, droughts, volatility, etc), temperature (i.e. land and marine heat waves, cold air outbreaks, etc), severe weather, tropical cyclones, and sea-ice variability, in conjunction with its associated extended user community and societal benefits. The session emphasizes emerging research that uniquely advances seamless weather-to-climate prediction through the creation of technology or optimization of existing configurations. Presentations highlighting impact based assessment of forecasts and applications for end users are also encouraged.
Co-Organized:
- NH - Natural Hazards
Index Terms:
3354 Precipitation [ATMOSPHERIC PROCESSES]
4313 Extreme events [NATURAL HAZARDS]
4315 Monitoring, forecasting, prediction [NATURAL HAZARDS]
4316 Physical modeling [NATURAL HAZARDS]
Primary Convener: Bradford Johnson, NOAA Office of Oceanic and Atmospheric Research, Office of Weather and Air Quality, Silver Spring, MD, United States
Conveners: Zhuo Wang, University of Illinois, Urbana, IL, United States, Jessie Carman, NOAA Office of Oceanic and Atmospheric Research, Office of Weather and Air Quality, Silver Spring, MD, United States and Andy Wood, National Center for Atmospheric Research, Boulder, CO, United States
Primary Liaison: Johnna Infanti, Climate Prediction Center College Park, College Park, MD, United States
See more of: Atmospheric Sciences
