Improved atmosphere-ocean coupled modeling in the tropics for climate prediction

doi:10.2172/1166909

GSTDTAP > 地球科学

DOI	10.2172/1166909
报告编号	DE-FG02--07ER64444_44331_A_10
来源ID	OSTI ID: 1166909
	Improved atmosphere-ocean coupled modeling in the tropics for climate prediction
	Zhang, Minghua
	2015
出版年	2015
页数	2
语种	英语
国家	美国
领域	地球科学
英文摘要	We investigated the initial development of the double ITCZ in the Community Climate System Model (CCSM Version 3) in the central Pacific. Starting from a resting initial condition of the ocean in January, the model developed a warm bias of sea-surface temperature (SST) in the central Pacific from 5oS to 10oS in the first three months. We found this initial bias to be caused by excessive surface shortwave radiation that is also present in the standalone atmospheric model. The initial bias is further amplified by biases in both surface latent heat flux and horizontal heat transport in the upper ocean. These biases are caused by the responses of surface winds to SST bias and the thermocline structure to surface wind curls. We also showed that the warming biases in surface solar radiation and latent heat fluxes are seasonally offset by cooling biases from reduced solar radiation after the austral summer due to cloud responses and in the austral fall due to enhanced evaporation when the maximum SST is closest to the equator. The warming biases from the dynamic heat transport by ocean currents however stay throughout all seasons once they are developed, which are eventually balanced by enhanced energy exchange and penetration of solar radiation below the mixed layer. Our results also showed that the equatorial cold tongue develops after the warm biases in the south central Pacific, and the overestimation of surface shortwave radiation recurs in the austral summer in each year.
英文关键词	Climate models double ITCZ
URL	查看原文
来源平台	US Department of Energy (DOE)
引用统计
文献类型	科技报告
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/6933
专题	地球科学
推荐引用方式 GB/T 7714	Zhang, Minghua. Improved atmosphere-ocean coupled modeling in the tropics for climate prediction,2015.