Subseasonal-to-Seasonal Prediction, Processes and Applications
Convener:
Christopher White
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Co-conveners:
Daniela Domeisen,
Marisol OsmanECSECS,
Joanne Robbins,
Frederic Vitart
Orals
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Tue, 16 Apr, 08:30–12:30 (CEST) Room 0.11/12
Posters on site
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Attendance Tue, 16 Apr, 16:15–18:00 (CEST) | Display Tue, 16 Apr, 14:00–18:00 Hall X5
Posters virtual
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Attendance Tue, 16 Apr, 14:00–15:45 (CEST) | Display Tue, 16 Apr, 08:30–18:00 vHall X5
(a) The Madden Julian Oscillation (MJO) and other modes of variability impacting the S2S timescale;
(b) Tropical/extratropical wave dynamics;
(c) Teleconnections and cross-timescale interference of climate modes of variability;
(d) Stratosphere-troposphere coupling, land-atmosphere coupling, ocean-atmosphere coupling;
(e) Studies of predictability and predictive skill of atmospheric or surface variables such as sea ice, snow cover, and land surface;
(f) Use of AI/ML methods for S2S prediction, post-processing and attribution;
(g) Case studies of extreme or high-impact event prediction on the S2S timescale; and
(h) User applications, impact studies and climate services on the S2S timescale including, including impact-focused modelling studies and examples of how S2S-derived information can be integrated into decision support systems at the local, regional or international level.
Session assets
Large-scale processes and sources of forecast skill
10:10–10:15
Large-scale processes and sources of forecast skill: discussion
Coffee break
Chairpersons: Steffen Tietsche, Christopher White
Extremes, impacts & applications
12:25–12:30
Extremes, impacts & applications: discussion
Improving Subseasonal-to-Seasonal Prediction of Summer Extreme Precipitation over Southern China Based on a Deep Learning Method
(withdrawn)