SPEAR – The Next Generation GFDL Modeling System for Seasonal to Multidecadal Prediction and Projection

Tuesday, Apr 14, 2020

A multi-year, GFDL-led effort was undertaken to build a next-generation seasonal-to-decadal prediction system that took advantage of many recent modeling advancements. This effort culminated in a new modeling system called the “Seamless system for Prediction and EArth system Research” (SPEAR).

The authors*, led by AOS Faculty Member Tom Delworth, a GFDL senior scientist, describe the formulation of the SPEAR modeling system and document its performance characteristics. The analyses presented in the paper, together with additional analyses in an online supplement, show that SPEAR is able to simulate many aspects of Earth’s climate system with a high degree of fidelity. 

GFDL Research Highlight

*Thomas L. Delworth, William F. Cooke, Alistair A. Adcroft, Mitchell Bushuk, Jan-Huey Chen, Krista A. Dunne, Paul Ginoux, Richard Gudgel, Robert W. Hallberg, Lucas Harris, Matthew J. Harrison, Nathaniel Johnson, Sarah B. Kapnick, Shian-Jian Lin, Feiyu Lu, Sergey Malyshev, Paul C. Milly, Hiroyuki Murakami, Vaishali Naik, Salvatore Pascale, David Paynter, Anthony Rosati, M. D. Schwarzkopf, Elena Shevliakova, Seth Underwood, Andrew T. Wittenberg, Baoqiang Xiang, Xiaosong Yang, Fanrong Zeng, Honghai Zhang, Liping Zhang, Ming Zhao. Journal of Advances in Modeling Earth Systems.