Ocean Surface Flux Algorithm Effects on Tropical Indo-Pacific Intraseasonal Precipitation

被引:8
作者
Hsu, Chia-Wei [1 ]
DeMott, Charlotte A. [1 ]
Branson, Mark D. [1 ]
Eyre, Jack Reeves [2 ]
Zeng, Xubin [3 ]
机构
[1] Colorado State Univ, Ft Collins, CO 80523 USA
[2] Univ Washington, Cooperat Inst Climate Ocean & Ecosyst Studies, Seattle, WA 98195 USA
[3] Univ Arizona, Tucson, AZ USA
基金
美国国家科学基金会;
关键词
latent heat flux; intraseasonal precipitation; MJO; air-sea interaction; BULK AERODYNAMIC ALGORITHMS; TOGA COARE; PARAMETERIZATION; MJO; OSCILLATION; ENHANCEMENT; SYSTEM;
D O I
10.1029/2021GL096968
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Surface latent heat fluxes help maintain tropical intraseasonal precipitation. We develop a latent heat flux diagnostic that depicts how latent heat fluxes vary with the near-surface specific humidity vertical gradient (Delta q) and surface wind speed (|V|). Compared to fluxes estimated from |V| and Delta q measured at tropical moorings and the Coupled Ocean Atmosphere Response Experiment 3.0 (COARE3.0) algorithm, tropical latent heat fluxes in the National Center for Atmospheric Research CEMS2 and Department of Energy E3SMv1 models are significantly overestimated at |V| and Delta q extrema. Madden-Julian oscillation (MJO) sensitivity to surface flux algorithm is tested with offline and inline flux corrections. The offline correction adjusts model output fluxes toward mooring-estimated fluxes; the inline correction replaces the original bulk flux algorithm with the COARE3.0 algorithm in atmosphere-only simulations of each model. Both corrections indicate reduced latent heat flux feedback to intraseasonal precipitation, in better agreement with observations, suggesting that model-simulated fluxes are overly supportive for maintaining MJO convection.
引用
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页数:10
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