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An Advanced Method for Deriving Latent Energy Flux from a Scanning Raman Lidar
Author(s) -
Cooper D. I.,
Eichinger W. E.,
Archuleta J.,
Hipps L.,
Neale C. M. U.,
Prueger J. H.
Publication year - 2007
Publication title -
agronomy journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.752
H-Index - 131
eISSN - 1435-0645
pISSN - 0002-1962
DOI - 10.2134/agronj2005.0110s
Subject(s) - lidar , eddy covariance , anemometer , environmental science , evapotranspiration , remote sensing , meteorology , covariance , autocorrelation , energy flux , flux (metallurgy) , wind speed , mathematics , statistics , geography , physics , materials science , astronomy , metallurgy , ecology , ecosystem , biology
One of the fundamental issues with lidar‐derived evapotranspiration estimates is its reliance on tower‐based measurements of Monin–Obukhov similarity variables, specifically the Obukhov length ( L ) and the friction velocity ( u ∗ ). Our study indicates that L can be derived in the atmospheric surface layer directly from lidar range‐height scans by estimating the integral length scale (ILS). Data from both three‐dimensional sonic anemometers mounted on towers and lidar data collected during two subsequent field experiments were analyzed using autocorrelation analysis to estimate the ILS. The ILS values were then transformed into L values using a power‐law similarity model and were compared to coincident tower‐based observations. The comparisons between tower‐based eddy covariance sensors and lidar data show that the lidar‐derived L values are within the expected uncertainty and variability of standard point sensor measured observations. An additional model for estimating the friction velocity from the Obukhov length was also derived, and both L and u ∗ were used to calculate the latent energy flux from lidar without external measurements. The evaporative fluxes from the standard method and the new advanced method were compared with eddy covariance fluxes, and it was found that the advanced method is superior.