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Evaluating the complementary relationship for estimating evapotranspiration from arid shrublands
Author(s) -
Huntington J. L.,
Szilagyi J.,
Tyler S. W.,
Pohll G. M.
Publication year - 2011
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/2010wr009874
Subject(s) - evapotranspiration , arid , shrubland , environmental science , vegetation (pathology) , advection , hydrology (agriculture) , atmospheric sciences , climatology , meteorology , geology , geography , ecosystem , physics , ecology , medicine , paleontology , geotechnical engineering , pathology , biology , thermodynamics
Given increasing demands on finite water supplies, accurate estimates of evapotranspiration (LE) from arid shrublands of the Southwestern United States are needed to develop or refine basin water budgets. In this work, a novel approach to estimating the equilibrium (or wet environment) surface temperature ( T e ) and LE from regionally extensive phreatophyte shrublands is tested using complementary theory and micrometeorological data collected from five eddy correlation stations located in eastern Nevada. A symmetric complementary relationship between the potential LE (LE p ) and actual LE is extremely attractive because it is based on general feedback mechanisms where detailed knowledge of the complex processes and interactions between soil, vegetation, and the near‐surface boundary layer can be avoided. Analysis of computed LE p and eddy correlation–derived LE indicates that there is unequivocal evidence of a complementary relationship between LE p and LE, where the measured and normalized complementary relationship is symmetric when T e is utilized to compute the wet environment LE (LE w ). Application of a modified Brutsaert and Stricker advection‐aridity (AA) model, where T e is utilized to compute LE w as opposed to the measured air temperature, indicates an improvement in prediction accuracy over the standard Brutsaert and Stricker AA model. Monthly and annual predictions of LE using the modified AA model are within the uncertainty of the measurement accuracy, making the application of this approach potentially useful for estimating regional LE in arid shrubland environments. Our observational evidence supports the idea of a symmetric complementary relationship yielding an approach with standard parameters, making it simple to apply with satisfactory accuracy. To our knowledge, this work presents the first application and evaluation of the complementary relationship in phreatophyte shrublands while utilizing the T e with comparisons to actual LE via flux measurements.