Estimation of High-Resolution Global Monthly Ocean Latent Heat Flux from MODIS SST Product and AMSR-E Data
Joint Authors
Zhao, Shaohua
Chen, Xiaowei
Yao, Yunjun
Li, Yufu
Jia, Kun
Zhang, Xiaotong
Shang, Ke
Bei, Xiangyi
Xu, Jia
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-04
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
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/m2 with R2 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/m2 and an R2 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.
American Psychological Association (APA)
Chen, Xiaowei& Yao, Yunjun& Zhao, Shaohua& Li, Yufu& Jia, Kun& Zhang, Xiaotong…[et al.]. 2020. Estimation of High-Resolution Global Monthly Ocean Latent Heat Flux from MODIS SST Product and AMSR-E Data. Advances in Meteorology،Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1127137
Modern Language Association (MLA)
Chen, Xiaowei…[et al.]. Estimation of High-Resolution Global Monthly Ocean Latent Heat Flux from MODIS SST Product and AMSR-E Data. Advances in Meteorology No. 2020 (2020), pp.1-19.
https://search.emarefa.net/detail/BIM-1127137
American Medical Association (AMA)
Chen, Xiaowei& Yao, Yunjun& Zhao, Shaohua& Li, Yufu& Jia, Kun& Zhang, Xiaotong…[et al.]. Estimation of High-Resolution Global Monthly Ocean Latent Heat Flux from MODIS SST Product and AMSR-E Data. Advances in Meteorology. 2020. Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1127137
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1127137