DOI: 10.1175/JCLI-D-17-0652.1
Scopus记录号: 2-s2.0-85052827929
论文题名: Intraseasonal variability of air-sea fluxes over the Bay of Bengal during the Southwest Monsoon
作者: Sanchez-Franks A. ; Kent E.C. ; Matthews A.J. ; Webber B.G.M. ; Peatman S.C. ; Vinayachandran P.N.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2018
卷: 31, 期: 17 起始页码: 7087
结束页码: 7109
语种: 英语
英文关键词: Atmosphere-ocean interaction
; Fluxes
; Indian Ocean
; Madden-Julian oscillation
; Monsoons
; Reanalysis data
Scopus关键词: Climate change
; Fluxes
; Heat flux
; Surface measurement
; Atmosphere-ocean interactions
; Indian ocean
; Madden-Julian oscillation
; Monsoons
; Reanalysis
; Atmospheric thermodynamics
英文摘要: In the Bay of Bengal (BoB), surface heat fluxes play a key role in monsoon dynamics and prediction. The accurate representation of large-scale surface fluxes is dependent on the quality of gridded reanalysis products. Meteorological and surface flux variables from five reanalysis products are compared and evaluated against in situ data from the Research Moored Array for African-Asian-Australian Monsoon Analysis and Prediction (RAMA) in the BoB. The reanalysis products: ERA-Interim (ERA-I), TropFlux, MERRA-2, JRA-55, and CFSR are assessed for their characterization of air-sea fluxes during the southwest monsoon season [June-September (JJAS)]. ERA-I captured radiative fluxes best while TropFlux captured turbulent and net heat fluxes Qnet best, and both products outperformed JRA-55, MERRA-2, and CFSR, showing highest correlations and smallest biases when compared to the in situ data. In all five products, the largest errors were in shortwave radiation QSW and latent heat flux QLH, with nonnegligible biases up to approximately 75 W m-2. The QSW and QLH are the largest drivers of the observed Qnet variability, thus highlighting the importance of the results from the buoy comparison. There are also spatially coherent differences in the mean basinwide fields of surface flux variables from the reanalysis products, indicating that the biases at the buoy position are not localized. Biases of this magnitude have severe implications on reanalysis products' ability to capture the variability of monsoon processes. Hence, the representation of intraseasonal variability was investigated through the boreal summer intraseasonal oscillation, and we found that TropFlux and ERA-I perform best at capturing intraseasonal climate variability during the southwest monsoon season. © 2018 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/110687
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: National Oceanography Centre, Southampton, United Kingdom; Centre for Ocean and Atmospheric Sciences, School of Environmental Sciences, University of East Anglia, Norwich, United Kingdom; National Centre for Atmospheric Science-Climate, University of Reading, Reading, United Kingdom; Centre for Atmospheric and Oceanic Sciences, Indian Institute of Science, Bangalore, India
Recommended Citation:
Sanchez-Franks A.,Kent E.C.,Matthews A.J.,et al. Intraseasonal variability of air-sea fluxes over the Bay of Bengal during the Southwest Monsoon[J]. Journal of Climate,2018-01-01,31(17)