Estimation of High-Resolution Global Monthly Ocean Latent Heat Flux from MODIS SST Product and AMSR-E Data

被引：4

作者：

Chen, Xiaowei ^{[1
]}

Yao, Yunjun ^{[1
]}

Zhao, Shaohua ^{[2
]}

Li, Yufu ^{[3
]}

Jia, Kun ^{[1
]}

Zhang, Xiaotong ^{[1
]}

Shang, Ke ^{[1
]}

Xu, Jia ^{[1
]}

Bei, Xiangyi ^{[1
]}

机构：

[1] Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China

[2] Minist Ecol & Environm, Ctr Satellite Applicat Ecol & Environm, Beijing 100094, Peoples R China

[3] Jincheng Meteorol Adm, Jincheng 048026, Shanxi, Peoples R China

来源：

ADVANCES IN METEOROLOGY | 2020年 / 2020卷

关键词：

SEA-SURFACE TEMPERATURE; RESEARCH MOORED ARRAY; WIND STRESS; DATA ASSIMILATION; TURBULENT FLUXES; BULK PARAMETERIZATION; REANALYSIS; ALGORITHM; WAVE; PERFORMANCE;

D O I：

10.1155/2020/8857618

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

Accurate estimation of satellite-derived ocean latent heat flux (LHF) at high spatial resolution remains a major challenge. Here, we estimate monthly ocean LHF at 4 km spatial resolution over 5 years using bulk algorithm COARE 3.0, driven by satellite data and meteorological variables from reanalysis. We validated the estimated ocean LHF by multiyear observations and by comparison with seven ocean LHF products. Validation results from monthly observations at 96 widely distributed buoy sites from three buoy site arrays (TAO, PIRATA, and RAMA) indicated a bias of less than 7 W/m(2) with R-2 of more than 0.80 (p < 0.01) and with a King-Gupta efficiency (KGE) of over 0.84. Our estimated ocean LHF also performs well in simulating annual variability and predicting between-site variability, as indicated by a bias of lower than 6 W/m(2) and an R-2 of more than 0.84 (p < 0.01). Overall, the average KGE for estimated ocean LHF increased by 18%-23% compared to other LHF products, indicating robust LHF estimation performance. Importantly, our estimated annual ocean LHF has similar global spatial distribution compared to other LHF products, although there are general differences in LHF values due to the difference in the models and the spatial resolution.

引用

页数：19