2020
DOI: 10.1029/2019wr026570
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Determinants of the Asymmetric Parameter in the Generalized Complementary Principle of Evaporation

Abstract: The complementary principle, which was first proposed by Bouchet (1963), illustrates a complementary relationship among the actual evaporation, the potential evaporation, and the apparent potential evaporation. It has generated increasing attention for estimating evaporation by using only routinely observed meteorological variables (radiation, wind speed, air temperature, and humidity) without complex surface property parameters. However, this principle still poses great challenges because of the underlying un… Show more

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Cited by 34 publications
(47 citation statements)
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References 58 publications
(114 reference statements)
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“…Given that the third stage is uncommon, the polynomial B2015 performs well with calibrated parameters (Brutsaert et al, 2017;Han and Tian, 2018a;Liu et al, 2016;Zhang et al, 2017). However, observed points are located in the domain out of OMP at several flux sites, and the sigmoid H2017 shows the best performance in estimating evaporation as validated by using data from FLUXNET (Han and Tian, 2018a;Wang et al, 2019).…”
Section: Comparisons Between the Two Generalized Complementary Approamentioning
confidence: 91%
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“…Given that the third stage is uncommon, the polynomial B2015 performs well with calibrated parameters (Brutsaert et al, 2017;Han and Tian, 2018a;Liu et al, 2016;Zhang et al, 2017). However, observed points are located in the domain out of OMP at several flux sites, and the sigmoid H2017 shows the best performance in estimating evaporation as validated by using data from FLUXNET (Han and Tian, 2018a;Wang et al, 2019).…”
Section: Comparisons Between the Two Generalized Complementary Approamentioning
confidence: 91%
“…Thus, the constant α = 1.26 was suggested with acceptable weakening of the accuracy of E estimation (Han et al, 2012;Han and Tian, 2018a). In practice, α was also determined from the observed E values in wet condition when E was close to E Pen and/or E PT (Kahler and Brutsaert, 2006;Ma et al, 2015a;Wang et al, 2019). A novel method of using observed air temperature and humidity data in wet environments when measured E is lacking was proposed by Szilagyi et al (2017) and was successfully used for large-scale CR model applications .…”
Section: Parameterizing Generalized Complementary Functions For Futurmentioning
confidence: 99%
“…was suggested with acceptable weakening of the accuracy of E estimation (Han and Tian, 2018a;Han et al, 2012). In practice,  was also determined from the observed E values in wet condition when E is close to Pen E and/or PT E (Kahler and Brutsaert, 2006;Ma et al, 2015a;Wang et al, 2019). A novel method by using observed air temperature and humidity data under wet environment 375 was proposed by Szilagyi et al (2017) when measured E is lacking, and was successfully used for large-scale CR model applications (Ma and Szilagyi, 2019;Ma et al, 2019).…”
Section:  mentioning
confidence: 99%
“…The b in the desert was 380 much smaller than those in the oases or irrigated farmlands (Han et al, , 2012. b was thought to be related to the characteristics of the atmosphere, i.e., the atmospheric humidity (Szilagyi, 2015), the Clausius-Clapeyron relationship between saturation-specific humidity and temperature (Lintner et al, 2015), or the characteristics of the land surface, i.e., the surface temperature (Szilagyi, 2007), the water availability of the evaporating surface (Han and Tian, 2018b;Lhomme and Guilioni, 2010), or the ecosystem types (Wang et al, 2019). Szilagyi (2015) applied a sigmoid function of relative humidity to 385 parameterize b -1 .…”
Section:  mentioning
confidence: 99%
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