气候变化领域集成服务门户(CCPortal): Inverse modeling of global and regional energy and water cycle fluxes using earth observation data

CCPortal

DOI	10.1175/JCLI-D-19-0343.1
	Inverse modeling of global and regional energy and water cycle fluxes using earth observation data
	Thomas C.M.; Dong B.; Haines K.
发表日期	2020
ISSN	0894-8755
起始页码	1707
结束页码	1723
卷号	33 期号:5
英文摘要	The NASA Energy and Water Cycle Study (NEWS) climatology is a self-consistent coupled annual and seasonal cycle solution for radiative, turbulent, and water fluxes over Earth's surface using Earth observation data covering 2000-09. Here we seek to improve the NEWS solution, particularly over the ocean basins, by considering spatial covariances in the observation errors (some evidence for which is found by comparing five turbulent flux products over the oceans) and by introducing additional horizontal transports from ocean reanalyses as weak constraints. By explicitly representing large error covariances between surface heat flux components over the major ocean basins we retain the flux contrasts present in the original data and infer additional heat losses over the North Atlantic Ocean, more consistent with a strong Atlantic overturning. This change does not alter the global flux balance but if only the errors in evaporation and precipitation are correlated then those fluxes experience larger adjustments (e.g., the surface latent heat flux increases to 85 6 2Wm22). Replacing SeaFlux v1 with J-OFURO v3 (Japanese Ocean Flux Data Sets with Use of Remote Sensing Observations) ocean fluxes also leads to a considerable increase in the global latent heat loss as well as a larger North Atlantic heat loss. Furthermore, including a weak constraint on the horizontal transports of heat and freshwater from high-resolution ocean reanalyses improves the net fluxes over the North Atlantic, Caribbean Sea, andArcticOcean,without any impact on the global flux balances. These results suggest that better characterized flux uncertainties can greatly improve the quality of the optimized flux solution. © 2020 American Meteorological Society.
英文关键词	Errors; Heat flux; Heat losses; Inverse problems; Latent heat; NASA; Observatories; Remote sensing; Earth observation data; Error covariances; Horizontal transport; North Atlantic Ocean; Observation errors; Spatial covariance; Surface heat fluxes; Surface latent heat fluxes; Oceanography; annual variation; data set; global climate; hydrological cycle; inverse analysis; seasonal variation; water flux; Arctic Ocean; Atlantic Ocean; Atlantic Ocean (North); Caribbean Sea
语种	英语
来源期刊	Journal of Climate
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/171427
作者单位	Department of Meteorology, National Centre for Earth Observation, University of Reading, Reading, United Kingdom
推荐引用方式 GB/T 7714	Thomas C.M.,Dong B.,Haines K.. Inverse modeling of global and regional energy and water cycle fluxes using earth observation data[J],2020,33(5).
APA	Thomas C.M.,Dong B.,&Haines K..(2020).Inverse modeling of global and regional energy and water cycle fluxes using earth observation data.Journal of Climate,33(5).
MLA	Thomas C.M.,et al."Inverse modeling of global and regional energy and water cycle fluxes using earth observation data".Journal of Climate 33.5(2020).