OS015-0007
ENSO dynamics in the GFDL SPEAR_LO climate model

Wednesday, 9 December 2020
Poster
Andrew Thorne Wittenberg1, Thomas L Delworth1, William Cooke1, Fanrong Jenny Zeng1, Alistair Adcroft2, Mitchell Bushuk1, Jan-Huey Chen1, Krista A. Dunne3, Paul A Ginoux1, Rich Gudgel1, Nathaniel Johnson1, Robert Hallberg1, Lucas Harris1, Matt Harrison1, Sarah B. Kapnick1, Shian-Jiann Lin1, Feiyu Lu2, Sergey Malyshev1, Chris Milly3, Hiroyuki Murakami1, Vaishali Naik1, Salvatore Pascale4, David Paynter1, Anthony John Rosati1, M Daniel Schwarzkopf1, Elena Shevliakova1, Seth Underwood1, Baoqiang Xiang1, Xiaosong Yang1, Honghai Zhang5, Liping Zhang2 and Ming Zhao1, (1)NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States, (2)Princeton University, Princeton, NJ, United States, (3)U.S. Geological Survey, Princeton, NJ, United States, (4)Stanford University, Stanford, CA, United States, (5)University of Miami, Miami, FL, United States
Abstract:
We assess the dynamics of the El Niño / Southern Oscillation (ENSO) as simulated in the SPEAR_LO global coupled GCM, recently developed by NOAA's Geophysical Fluid Dynamics Laboratory (GFDL). SPEAR_LO supports seasonal-to-centennial climate research, forecasts, and projections, and contributes routine seasonal forecasts as part of the North American Multi-Model Ensemble (NMME). Compared to its predecessors, SPEAR_LO simulates improved ENSO patterns, spectra, seasonal timing, teleconnections, and ocean-atmosphere feedbacks. Analyses of the upper-ocean heat budget and ocean-atmosphere feedbacks illustrate how SPEAR's improved physical formulations contribute to more realistic simulations of the tropical Pacific climatology and ENSO. Further correcting the tropical climatology — via flux-adjustments of the model SST, SSS, and surface wind stress — yields an even better simulation of ENSO, and illuminates the roles of the background state in ENSO dynamics and feedbacks. Promising avenues toward future model improvements are discussed, along with implications for the Tropical Pacific Observing System (TPOS) and community-developed metrics to assess ENSO in climate models.