2021
DOI: 10.1002/hyp.14118
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Modelling interannual variations in catchment evapotranspiration considering vegetation and climate seasonality using the Budyko framework

Abstract: The Budyko framework is an efficient tool for investigating catchment water balance, focusing on the effects of seasonal changes in climate (S) and vegetation cover (M) on catchment evapotranspiration (ET). However, the effects of vegetation seasonality on ET remain largely unknown. The present study explored these effects by modelling interannual variations in ET considering vegetation and climate seasonality using the Budyko framework. Reconstructed 15-day GIMMS NDVI 3g timeseries data from 1982 to 2015 were… Show more

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Cited by 6 publications
(1 citation statement)
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“…Ning et al (2017) reported that the underlying surface parameter n is closely related to the climate anomaly index. Wang et al (2021) reported that it is related to, among others, the Arctic Oscillation and El Niño. In addition, human activities are closely related to the underlying surface parameter n. Jiang et al (2015) found that it is related to agricultural irrigation area.…”
Section: Introductionmentioning
confidence: 99%
“…Ning et al (2017) reported that the underlying surface parameter n is closely related to the climate anomaly index. Wang et al (2021) reported that it is related to, among others, the Arctic Oscillation and El Niño. In addition, human activities are closely related to the underlying surface parameter n. Jiang et al (2015) found that it is related to agricultural irrigation area.…”
Section: Introductionmentioning
confidence: 99%