Session Seasonal-to-Decadal Earth System Prediction


Description:

Predicting impactful Earth system change on climate timescales is a research challenge with clear societal relevance that has seen rapid progress in recent years. Initialized ensemble climate simulations, such as the decadal prediction experiments coordinated by the Decadal Climate Prediction Project (DCPP) of the World Climate Research Programme, have considerably expanded the temporal and phenomenological horizons of what we consider to be potentially predictable environmental change. At the same time, new questions have emerged relating to model fidelity, sources of predictability, and optimal prediction system design. This session aims to bring together researchers focused on seasonal, multiyear, and decadal prediction to promote cross-fertilization across communities that share the common goal of advancing our understanding of predictable climate signals and our ability to harness them for societal benefit. We invite prediction-focused abstracts from diverse disciplines (ocean, atmosphere, land, sea ice, biogeochemistry) and particularly welcome contributions that bridge disciplines and/or timescales.


Papers:
An extratropical contribution to the signal-to-noise paradox in seasonal climate prediction
Jeff Knight, The Met Office, Exeter, United Kingdom; Met Office, Exeter, United kingdom; and A. A. Scaife and A. Maidens

Sea Surface Salinity as a Subseasonal to Seasonal Predictor for Summer Precipitation in the Midwest
Juliette Rocha, Texas A&M University, College Station, TX; and M. Arcodia, J. K. Rader, M. Fernandez, and E. A. Barnes

On the role of external atmospheric forcing for the seasonal prediction of the Asian summer monsoons
Annalisa Cherchi, CNR-ISAC, Bologna, Italy; and A. Alessandri, E. Tourigny, J. Acosta, and F. Catalano

Assessing the Impact of Bhuvan Vegetation Data on the interactions of the Indian Ocean Dipole and ENSO in Earth System Model Simulations/Predictions.
ROSIMITHA PANDA, IITM, Pune, MH, India; and R. PV, G. C., A. Parekh, D. Patekar, R. Kakatkar, R. U. PAI, and S. Halder

Investigation of Seasonal Predictability and Forecast Skill of Arabian Peninsula Wet Season Rainfall using Recalibrated Multimodel Ensembles
Muhammad Azhar Ehsan, IRI, Palisades, NY; and A. W. Robertson, J. Yuan, M. K. Tippett, B. Singh, M. Zampieri, T. Luong, and I. Hoteit

Effects of the Realistic Representation of Vegetation Variability on Climate Predictions at Seasonal and Decadal Time Scales.
Andrea Alessandri, CNR-ISAC, Bologna, Italy; and E. Di Carlo, F. van Oorschot, F. Catalano, A. Cherchi, G. Balsamo, S. boussetta, and T. N. Stockdale

Submission Deadline: Thursday, 31 August 2023