A nonlinear function approach for the normalized complementary relationship evaporation model

Han, Songjun; Hu, Heping; Tian, Fuqiang

doi:10.1002/hyp.8414

Cited by 66 publications

(137 citation statements)

References 36 publications

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“…In Scenario 1, the modified GG model of is used for direct comparison and this scenario used all 75 AmeriFlux sites (36 dry and 39 wet sites). In Scenario 2, the original GG model described by Han et al (2012) (also called the normalized complementary method) and the CRAE method of are used for comparison. Scenario 2 used only 59 sites (29 dry and 30 wet sites) since only these 59 sites have incident global radiation data required by the CRAE model.…”

Section: Resultsmentioning

confidence: 99%

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Estimating evapotranspiration using the complementary relationship and the Budyko framework

Kim

Kaluarachchi

2017

Journal of Water and Climate Change

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Evapotranspiration is the single most important mechanism of mass and energy exchange between atmosphere, biosphere, and hydrosphere. Among the common approaches to estimating evapotranspiration, the complementary relationship has been the subject of many recent studies given its simplicity and the use of meteorological data only. Recently, a modified version of the complementary relationship, Modified GG, was developed using meteorological data only and had been successfully applied at 34 diverse global sites to provide more accurate information of evapotranspiration. However, the complementary relationship including Modified GG showed weak performance under dry conditions. This dissertation addressed this limitation of the complementary relationship using the Budyko hypothesis and extended its application to drought monitoring. between ET and potential ET (ETP) has been the subject of many studies because it uses only meteorological data as inputs. However, there is an increasing concern that some complementary relationship models perform poorly under dry conditions. To overcome this limitation, this dissertation was designed to extend the latest complementary relationship model, Modified GG, using both meteorological data and vegetation information, NDVI, which is readily available from remote sensing data. The proposed model, Adjusted GG-NDVI, was validated by comparing to other ET models and measured ET data. With Adjusted GG-NDVI, this dissertation addressed the applicability of using ET as a proxy for drought monitoring. As a result, the drought patterns from the proposed drought index, EWDI, were consistent with commonly used USDM in the United States. More importantly, this study described drought conditions by comprehensively considering both precipitation and vegetation conditions. Taken together, these findings have significant implications for the understanding of how ET can assist in water resources management.

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Section: Resultsmentioning

confidence: 99%

“…Han et al (2012) developed the normalized complementary method which is based on the CRAE method. This study found that the method performed better than the AA model in predicting ET under dry and wet conditions.…”

Section: Scenario 2: Comparison With Other Complementary Methodsmentioning

confidence: 99%

Estimating evapotranspiration using the complementary relationship and the Budyko framework

Kim

Kaluarachchi

2017

Journal of Water and Climate Change

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“…Recently, there have been several attempts to improve the complementary relationship and its predictive power of different ET definitions (see Brutsaert and Stricker, 1979;Granger and Gray, 1989;Morton, 1983). Han et al (2012) developed a nonlinear approach to the complementary relationship but the results require further study and verification. Yet, Lhomme and Guilioni (2010) proposed a different model that can describe the complex relationship between ET and ETP based on the convective boundary layer.…”

Section: Complementary Relationshipmentioning

confidence: 99%

Improving the complementary methods to estimate evapotranspiration under diverse climatic and physical conditions

Anayah

Kaluarachchi

2014

Hydrol. Earth Syst. Sci.

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Abstract. Reliable estimation of evapotranspiration (ET) is important for the purpose of water resources planning and management. Complementary methods, including complementary relationship areal evapotranspiration (CRAE), advection aridity (AA) and Granger and Gray (GG), have been used to estimate ET because these methods are simple and practical in estimating regional ET using meteorological data only. However, prior studies have found limitations in these methods especially in contrasting climates. This study aims to develop a calibration-free universal method using the complementary relationships to compute regional ET in contrasting climatic and physical conditions with meteorological data only. The proposed methodology consists of a systematic sensitivity analysis using the existing complementary methods. This work used 34 global FLUXNET sites where eddy covariance (EC) fluxes of ET are available for validation. A total of 33 alternative model variations from the original complementary methods were proposed. Further analysis using statistical methods and simplified climatic class definitions produced one distinctly improved GG-modelbased alternative. The proposed model produced a singlestep ET formulation with results equal to or better than the recent studies using data-intensive, classical methods. Average root mean square error (RMSE), mean absolute bias (BIAS) and R 2 (coefficient of determination) across 34 global sites were 20.57 mm month −1 , 10.55 mm month −1 and 0.64, respectively. The proposed model showed a step forward toward predicting ET in large river basins with limited data and requiring no calibration.

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“…e PM-Katerji model had poor estimation results when the variation of the evapotranspiration ratio was larger. Han et al [11] first proposed boundary conditions in the formulation of a complementary relationship model. Based on the model by Han et al [11], Brutsaert [2] set physical constraints for the ratio of actual evapotranspiration to possible evapotranspiration, as well as the ratio of wet evapotranspiration to evapotranspiration, and proposed a generalized complementary correlation principle.…”

Section: Introductionmentioning

confidence: 99%

“…Han et al [11] first proposed boundary conditions in the formulation of a complementary relationship model. Based on the model by Han et al [11], Brutsaert [2] set physical constraints for the ratio of actual evapotranspiration to possible evapotranspiration, as well as the ratio of wet evapotranspiration to evapotranspiration, and proposed a generalized complementary correlation principle. Crago et al [12] revised the generalized complementary principle of Brutsaert [2] and concluded that when the actual evapotranspiration was close to 0, the ratio of wet evapotranspiration to possible evapotranspiration is not 0, but between 0 and 1. e revised model was tested using depth and precipitation data from the United States.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Actual Evapotranspiration Distribution in the Huaihe River Upstream Basin Based on the Generalized Complementary Principle

Gao

Qiao

Qiu

et al. 2018

Advances in Meteorology

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e accurate estimation of actual evapotranspiration can help improve the utilization of water resources and ease the ecological stress. Based on the generalized complementary principle proposed by Brutsaert in 2015, we used meteorological and hydrological data to estimate the actual evapotranspiration at a resolution of 1 km × 1 km between the years of 1961 and 2000 and also verified the model's stability. In this study, we used the water balance equation to calibrate the parameters, coupled with the spatial simulation results of the meteorological elements in the actual evapotranspiration model. e estimation results of actual evapotranspiration show that the generalized complementary principle model had high estimation precision in this basin, with an average absolute error of 16.64 mm and an average relative error of 2.25%. With respect to spatial distribution, the average actual evapotranspiration over the years in the basin tended to have high and low distribution in the northern and southern parts of the basin, respectively. e actual evapotranspiration in the basin showed a decreasing trend over the period, with a rate of 24.1 mm/10 years. Correlation coefficient analysis showed that the percentage decreases in percentage sunshine and the decreases in the daily range of temperature were the main reasons for the decrease in actual evapotranspiration.

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A nonlinear function approach for the normalized complementary relationship evaporation model

Cited by 66 publications

References 36 publications

Estimating evapotranspiration using the complementary relationship and the Budyko framework

Estimating evapotranspiration using the complementary relationship and the Budyko framework

Improving the complementary methods to estimate evapotranspiration under diverse climatic and physical conditions

Estimation of Actual Evapotranspiration Distribution in the Huaihe River Upstream Basin Based on the Generalized Complementary Principle

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