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Budyko-Type Models Require Prior Information Under Changing Environments: Implications for Attribution Analysis and Runoff Prediction
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/2013gl058324openalex-extracted
Local and global factors controlling water‐energy balances within the Budyko framework
inferredcites →https://doi.org/10.1002/2014gl060509openalex-extracted
A one‐parameter Budyko model for water balance captures emergent behavior in darwinian hydrologic models
inferredcites →https://doi.org/10.1002/2014wr016013openalex-extracted
Regional patterns of interannual variability of catchment water balances across the continental U.S.: A Budyko framework
inferredcites →https://doi.org/10.1002/2014wr016589openalex-extracted
Quantifying the impacts of climate change and ecological restoration on streamflow changes based on a B udyko hydrological model in C hina's L oess P lateau
inferredcites →https://doi.org/10.1002/2015gl066952openalex-extracted
Quantifying the effect of vegetation change on the regional water balance within the Budyko framework
inferredcites →https://doi.org/10.1002/2016gl070173openalex-extracted
Dynamic hydrologic modeling using the zero‐parameter Budyko model with instantaneous dryness index
inferredcites →https://doi.org/10.1002/2016wr019046openalex-extracted
A new method to partition climate and catchment effect on the mean annual runoff based on the B udyko complementary relationship
inferredcites →https://doi.org/10.1002/2016wr019392openalex-extracted
Global estimation of effective plant rooting depth: Implications for hydrological modeling
inferredcites →https://doi.org/10.1002/2017wr022028openalex-extracted
An Analytical Solution for the Impact of Vegetation Changes on Hydrological Partitioning Within the Budyko Framework
inferredcites →https://doi.org/10.1002/hyp.13719openalex-extracted
Effects of forest cover change on catchment evapotranspiration variation in China
inferredcites →https://doi.org/10.1002/hyp.14069openalex-extracted
Quantifying the contribution of climate and underlying surface changes to alpine runoff alterations associated with glacier melting
inferredcites →https://doi.org/10.1002/wrcr.20107openalex-extracted
Vegetation control on water and energy balance within the Budyko framework
inferredcites →https://doi.org/10.1016/j.agee.2011.01.008openalex-extracted
The hydrologic consequences of land cover change in central Argentina
inferredcites →https://doi.org/10.1016/j.catena.2021.105557openalex-extracted
Attribution of runoff changes in the main tributaries of the middle Yellow River, China, based on the Budyko model with a time-varying parameter
inferredcites →https://doi.org/10.1016/j.foreco.2007.06.025openalex-extracted
Developing a decision support tool for China's re-vegetation program: Simulating regional impacts of afforestation on average annual streamflow in the Loess Plateau
inferredcites →https://doi.org/10.1016/j.gloplacha.2018.01.006openalex-extracted
Projection of future runoff change using climate elasticity method derived from Budyko framework in major basins across China
inferredcites →https://doi.org/10.1016/j.jhydrol.2010.06.025openalex-extracted
Can dynamic vegetation information improve the accuracy of Budyko’s hydrological model?
inferredcites →https://doi.org/10.1016/j.jhydrol.2012.02.033openalex-extracted
Roots, storms and soil pores: Incorporating key ecohydrological processes into Budyko’s hydrological model
inferredcites →https://doi.org/10.1016/j.jhydrol.2014.12.060openalex-extracted
Separating the impacts of climate change and human activities on runoff using the Budyko-type equations with time-varying parameters
inferredcites →https://doi.org/10.1016/j.jhydrol.2019.124224openalex-extracted
A Budyko-based framework for quantifying the impacts of aridity index and other factors on annual runoff
inferredcites →https://doi.org/10.1016/j.jhydrol.2021.126770openalex-extracted
Satellite based Budyko framework reveals the human imprint on long-term surface water partitioning across India
inferredcites →https://doi.org/10.1016/s0022-1694(98)00293-5openalex-extracted
Evaluation of an empirical equation for annual evaporation using field observations and results from a biophysical model
inferredcites →https://doi.org/10.1029/2000wr900325openalex-extracted
Response of mean annual evapotranspiration to vegetation changes at catchment scale
inferredcites →https://doi.org/10.1029/2003wr002710openalex-extracted
A rational function approach for estimating mean annual evapotranspiration
inferredcites →https://doi.org/10.1029/2006wr005224openalex-extracted
Analyzing spatial and temporal variability of annual water‐energy balance in nonhumid regions of China using the Budyko hypothesis
inferredcites →https://doi.org/10.1029/2007wr006135openalex-extracted
New analytical derivation of the mean annual water‐energy balance equation
inferredcites →https://doi.org/10.1029/2008wr006948openalex-extracted
Impact of vegetation coverage on regional water balance in the nonhumid regions of China
inferredcites →https://doi.org/10.1029/2010wr009610openalex-extracted
Nonparametric method for estimating the effects of climatic and catchment characteristics on mean annual evapotranspiration
inferredcites →https://doi.org/10.1029/2019wr026280openalex-extracted
Using the Budyko Framework for Calibrating a Global Hydrological Model
inferredcites →https://doi.org/10.1029/2020wr028658openalex-extracted
Budyko‐Based Long‐Term Water and Energy Balance Closure in Global Watersheds From Earth Observations
inferredcites →https://doi.org/10.3390/w12123418openalex-extracted
Using Budyko-Type Equations for Separating the Impacts of Climate and Vegetation Change on Runoff in the Source Area of the Yellow River
inferredcites →https://doi.org/10.5194/hess-11-983-2007openalex-extracted
On the importance of including vegetation dynamics in Budyko's hydrological model
inferredcites →https://doi.org/10.5194/hess-17-3189-2013openalex-extracted
Non-stationary flood frequency analysis in continental Spanish rivers, using climate and reservoir indices as external covariates
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