Determination of bare surface soil moisture from combined temporal evolution of land surface temperature and net surface shortwave radiation
Shortwave radiation
Shortwave
DOI:
10.1002/hyp.9410
Publication Date:
2012-05-18T03:11:28Z
AUTHORS (7)
ABSTRACT
Abstract Land surface soil moisture (SSM) is an important variable for hydrological, ecological, and meteorological applications. A multi‐linear model has recently been proposed to determine the SSM content from combined diurnal evolution of both land temperature (LST) net shortwave radiation (NSSR) with parameters TN (the LST mid‐morning rising rate divided by NSSR during same period) t d time daily maximum temperature). However, in addition problem that all coefficients depend on atmospheric conditions, also suffers problems nonlinearity as a function uncertainty determining LST. To address these problems, modified was developed using logarithm normalizing difference instead . Except constant term, other variables proved be independent conditions. Using relevant simulation data, results show can determined root mean square error (RMSE) 0.030m 3 /m , provided term known or estimated day day. The validation conducted field measurements at Langfang site 2008 China. higher correlation achieved (coefficient determination: R 2 = 0.624, RMSE 0.107m ) between measured data. Another experiment estimate calibrated each one‐spot site. estimation result relatively larger (RMSE 0.125m ). Additionally, determination analysed measurements, indicate obtained accurately characterizes condition. Copyright © 2012 John Wiley & Sons, Ltd.
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