J2 Subseasonal-to-Seasonal (S2S) II: Predictions and Predictability

Monday, 29 January 2024: 10:45 AM-12:00 PM
Holiday 6 (Hilton Baltimore Inner Harbor)
Hosts: (Joint between the 12th Symposium on the Weather, Water, and Climate Enterprise; and the Forum on Climate Linked Economics )
Chair:
Mark Olsen, NOAA/OAR/OWAQ, Silver Spring, MD
Cochairs:
Jessie C. Carman, OAR, WPO, Silver Spring, MD; Andrew W. Robertson, CPC, NOAA Center for Weather and Climate Prediction, College Park, MD; Christine Bassett, University of Washington, Applied Physics Laboratory, Springfield, OR and Do-Hyuk (D. K.) Kang, NASA, GSFC, Greenbelt, MD

There has been significant progress in understanding and predicting the global earth system to extended ranges beyond synoptic scales.  We understand the need to replicate physical phenomena related to tropical convection, MJO, monsoons, and their teleconnections with midlatitude weather and climate in the global earth system models.  However, despite progress there is still a pressing need to further improve subseasonal-to-seasonal (S2S) predictions, and to better understand the underlying predictability and its temporal modulation. .

This second session in a three part S2S-focused series invites presentations addressing both previous and ongoing research investigating the sources of predictability, and propagation of forecast errors and systematic earth system model biases that appear early in the forecasts, with the goal of tracing these errors both to their impacts on prediction, and backward to their causes, to support implementing S2S prediction improvements with temporal ranges between 2 weeks to 2 years. Particular applications include but are not limited to S2S prediction of precipitation, extreme temperatures, severe weather outlooks, drought, atmospheric rivers and the conditions that are thought to drive these phenomena. While this session focuses on predictions and predictability, Parts 1 and 3 of this 3-part S2S-focused series highlight stakeholder needs and S2S model development, respectively.

Papers:
11:00 AM
J2.2
Prediction of Indian Ocean Dipole with Canonical Correlation Analysis.
Zewdu Tessema Segele, CPC, College Park, MD; CPC, College Park, MD; NOAA, College Park, MD; and E. B. Bekele and W. M. Thiaw

11:15 AM
J2.3
Seamless Prediction and Predictability from weather to subseasonal to seasonal timescales using Average Predictability time.
Priyanka Yadav, GSFC, Greenbelt, MD; ESSIC/UMD, College Park, MD; and T. DelSole, A. Molod, S. Schubert, R. D. Koster, and A. Y. Borovikov

11:45 AM
J2.5
Probabilistic wave forecast for week two and beyond based on the NCEP’s Global Ensemble Forecast System
Ricardo Martins Campos, AOML, Miami, FL; and D. Figurskey and A. Mehra

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner