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Is There a Baseflow Budyko Curve?
Author(s) -
Gnann Sebastian J.,
Woods Ross A.,
Howden Nicholas J. K.
Publication year - 2019
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/2018wr024464
Subject(s) - baseflow , aridity index , environmental science , streamflow , hydrology (agriculture) , precipitation , evapotranspiration , drainage basin , arid , water balance , geography , geology , meteorology , ecology , paleontology , cartography , geotechnical engineering , biology
There is no general theory to explain differences in baseflow between catchments, despite evidence that it is mainly controlled by climate and landscape. One hypothesis is that baseflow fraction (the ratio between baseflow and precipitation) can be primarily attributed to the aridity index (the ratio between potential evapotranspiration and precipitation), that is, that there is a “baseflow Budyko curve.” Comparing catchment data from the United States and the United Kingdom shows, however, that aridity is not always a good predictor of baseflow fraction. We use the revised Ponce‐Shetty annual water balance model to show that there is no single “baseflow Budyko curve” but rather a continuum of curves emerging from a more universal model that incorporates both climate and landscape factors. In humid catchments, baseflow fraction is highly variable due to variations in a catchment's wetting potential, a parameter that describes catchment storage capacity. In arid catchments, vaporization limits baseflow generation, which leads to lower variability in baseflow fraction. Generally, when the magnitude of precipitation is important, the aridity index only partly explains baseflow response. Adapting the model to explain variability of the baseflow index (the ratio between baseflow and total streamflow) shows that the aridity index is generally a poor predictor of baseflow index. While the wetting potentials and other parameters are obtained by fitting the Ponce‐Shetty model to annual catchment data, their links to physical properties remain to be explored. This currently limits the model's applicability to gauged catchments with sufficiently long records.

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