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<title>Estimation of surface latent heat flux over the ocean and its relationship to Marine Atmospheric Boundary Layer (MABL) structure</title>
Author(s) -
Stephen P. Palm,
Geary K. Schwemmer,
Doug Vandemark,
Keith Evans,
D.O. Miller
Publication year - 1999
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.366432
Subject(s) - lidar , planetary boundary layer , remote sensing , latent heat , backscatter (email) , scatterometer , environmental science , radiometer , sensible heat , atmospheric sciences , sea surface temperature , wind speed , flux (metallurgy) , meteorology , geology , materials science , physics , turbulence , telecommunications , computer science , wireless , metallurgy
A new technique combining active and passive remote sensing instruments for the estimation of surface latent heat flux over the ocean is presented. This synergistic method utilizes aerosol lidar backscatter data, multi-channel infrared radiometer data and microwave scatterometer data acquired onboard the NASA P-3B research aircraft during an extended field campaign over the Atlantic ocean in support of the Lidar In-space Technology Experiment in September of 1994. The 10 meter wind speed derived from the scatterometers and the lidar-radiometer inferred near- surface moisture are used to obtain an estimate of the surface flux of moisture via bulk aerodynamic formulae. The results are compared with the Special Sensor Microwave Imager (SSM/I) daily average latent heat flux and show reasonable agreement. However, the SSM/I values are biased high by about 30 W/m2. In addition, the MABL height, entrainment zone thickness and integrated lidar backscatter intensity are computed from the lidar data and compared with the magnitude of the surface fluxes. The results show that the surface latent heat flux is most strongly correlated with entrainment zone top, bottom and the integrated MABL lidar backscatter, with corresponding correlation coefficients of 0.62, 0.67 and 0.61, respectively.

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