TY - JOUR
T1 - Global analysis of the role of terrestrial water storage in the evapotranspiration estimated from the budyko framework at annual to monthly time scales
AU - Wu, Chuanhao
AU - Yeh, Pat J.F.
AU - Wu, Haichun
AU - Hu, Bill X.
AU - Huang, Guoru
N1 - Funding Information:
Acknowledgments. This work was supported by the National Natural Science Foundation of China (Grants 51909106, 51879108), the Natural Science Foundation of Guangdong Province, China (Grant 2018A030310653), the Youth Innovative Talents Project for Guangdong Colleges and Universities (Grant 2017KQNCX010), and the Fundamental Research Funds for the Central Universities (Grant 21617301). The authors declare that they have no conflict of interest.
Publisher Copyright:
© 2019, American Meteorological Society.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/10
Y1 - 2019/10
N2 - Recent studies have extended the applicability of the Budyko framework from the long-term mean to annual or shorter time scales. However, the effects of water storage change ΔS on the overall water balance estimated from the Budyko models (BM) at annual-to-monthly time scales were less investigated, particularly at the continental or global scales, due to the lack of large-scale ΔS data. Here, based on a 25-yr (1984-2008) global gridded terrestrial water budget dataset and by using an analytical error-decomposition framework, we analyzed the effects of ΔS in evapotranspiration (ET) predicted from BM at both grid and basin scales under diverse climates for the annual, wet-seasonal, dry-seasonal, and monthly time scales. Results indicated that the BM underperforms in the short dry (wet) seasons of predominantly humid (dry) basins, with lower accuracy under more humid climates (at annual, dry-seasonal, and monthly scales) and under more arid climates (at wet-seasonal scale). When the effects of ΔS are incorporated into BM, improvements can be found mostly at annual and dry-seasonal scales, but not notable at wet-seasonal and monthly scales. The magnitudes of ΔS are positively correlated with the errors in BM-predicted ET for most global regions at annual and monthly scales, especially under arid climates. Under arid climates, the variability of ET prediction errors is controlled mainly by the ΔS variability at annual and monthly time scales. In contrast, under humid climates the effect of ΔS on ET prediction errors is generally limited, particularly at the wet-seasonal scale due to the more dominant influences of other climatic factors (precipitation and potential ET) and catchment responses (runoff).
AB - Recent studies have extended the applicability of the Budyko framework from the long-term mean to annual or shorter time scales. However, the effects of water storage change ΔS on the overall water balance estimated from the Budyko models (BM) at annual-to-monthly time scales were less investigated, particularly at the continental or global scales, due to the lack of large-scale ΔS data. Here, based on a 25-yr (1984-2008) global gridded terrestrial water budget dataset and by using an analytical error-decomposition framework, we analyzed the effects of ΔS in evapotranspiration (ET) predicted from BM at both grid and basin scales under diverse climates for the annual, wet-seasonal, dry-seasonal, and monthly time scales. Results indicated that the BM underperforms in the short dry (wet) seasons of predominantly humid (dry) basins, with lower accuracy under more humid climates (at annual, dry-seasonal, and monthly scales) and under more arid climates (at wet-seasonal scale). When the effects of ΔS are incorporated into BM, improvements can be found mostly at annual and dry-seasonal scales, but not notable at wet-seasonal and monthly scales. The magnitudes of ΔS are positively correlated with the errors in BM-predicted ET for most global regions at annual and monthly scales, especially under arid climates. Under arid climates, the variability of ET prediction errors is controlled mainly by the ΔS variability at annual and monthly time scales. In contrast, under humid climates the effect of ΔS on ET prediction errors is generally limited, particularly at the wet-seasonal scale due to the more dominant influences of other climatic factors (precipitation and potential ET) and catchment responses (runoff).
KW - Atmosphere-land interaction
KW - Climate variability
KW - Error analysis
KW - Evapotranspiration
KW - Hydrometeorology
KW - Water budget/balance
UR - http://www.scopus.com/inward/record.url?scp=85074669719&partnerID=8YFLogxK
U2 - 10.1175/JHM-D-19-0065.1
DO - 10.1175/JHM-D-19-0065.1
M3 - Article
AN - SCOPUS:85074669719
SN - 1525-755X
VL - 20
SP - 2003
EP - 2021
JO - Journal of Hydrometeorology
JF - Journal of Hydrometeorology
IS - 10
ER -