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Interacting Effects of Precipitation and Potential Evapotranspiration Biases on Hydrological Modeling

https://doi.org/10.1029/2022wr033323
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/2014wr015794openalex-snapshot
Exploration of discrepancy between radar and gauge rainfall estimates driven by wind fields
inferredcites →https://doi.org/10.1002/9781119951001openalex-snapshot
Rainfall‐Runoff Modelling
inferredcites →https://doi.org/10.1002/hyp.10371openalex-snapshot
Meta‐analysis of flow modeling performances—to build a matching system between catchment complexity and model types
inferredcites →https://doi.org/10.1002/hyp.9946openalex-snapshot
Sensitivity and uncertainty analysis of mesoscale model downscaled hydro-meteorological variables for discharge prediction
inferredcites →https://doi.org/10.1007/s10584-006-9225-0openalex-snapshot
Gradient in the climate change signal of European discharge predicted by a multi-model ensemble
inferredcites →https://doi.org/10.1007/s11269-015-1011-1openalex-snapshot
Appraisal of NLDAS-2 Multi-Model Simulated Soil Moistures for Hydrological Modelling
inferredcites →https://doi.org/10.1007/s11269-020-02594-5openalex-snapshot
Transferability of a Conceptual Hydrological Model across Different Temporal Scales and Basin Sizes
inferredcites →https://doi.org/10.1007/s11707-014-0424-0openalex-snapshot
Parameter identification and calibration of the Xin’anjiang model using the surrogate modeling approach
inferredcites →https://doi.org/10.1016/0022-1694(70)90255-6openalex-snapshot
River flow forecasting through conceptual models part I — A discussion of principles
inferredcites →https://doi.org/10.1016/0022-1694(92)90096-eopenalex-snapshot
The Xinanjiang model applied in China
inferredcites →https://doi.org/10.1016/0022-1694(94)02654-topenalex-snapshot
Sensitivity of conceptual rainfall-runoff algorithms to errors in input data — case of the GR2M model
inferredcites →https://doi.org/10.1016/0169-8095(95)00066-6openalex-snapshot
Adjustment of tipping-bucket precipitation gauge measurements
inferredcites →https://doi.org/10.1016/j.crte.2004.10.017openalex-snapshot
Forecasting for flood warning
inferredcites →https://doi.org/10.1016/j.jhydrol.2003.09.030openalex-snapshot
Impact of imperfect potential evapotranspiration knowledge on the efficiency and parameters of watershed models
inferredcites →https://doi.org/10.1016/j.jhydrol.2004.08.026openalex-snapshot
Which potential evapotranspiration input for a lumped rainfall–runoff model?
inferredcites →https://doi.org/10.1016/j.jhydrol.2005.07.016openalex-snapshot
Impact of biased and randomly corrupted inputs on the efficiency and the parameters of watershed models
inferredcites →https://doi.org/10.1016/j.jhydrol.2005.09.019openalex-snapshot
Evaluation of seasonal and spatial variations of lumped water balance model sensitivity to precipitation data errors
inferredcites →https://doi.org/10.1016/j.jhydrol.2009.04.025openalex-snapshot
Examining geological controls on baseflow index (BFI) using regression analysis: An illustration from the Thames Basin, UK
inferredcites →https://doi.org/10.1016/j.jhydrol.2009.08.003openalex-snapshot
Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
inferredcites →https://doi.org/10.1016/j.jhydrol.2016.02.033openalex-snapshot
Misrepresentation and amendment of soil moisture in conceptual hydrological modelling
inferredcites →https://doi.org/10.1016/j.jhydrol.2016.03.063openalex-snapshot
Comparison of climate datasets for lumped hydrological modeling over the continental United States
inferredcites →https://doi.org/10.1016/j.jhydrol.2018.07.034openalex-snapshot
A rule based quality control method for hourly rainfall data and a 1 km resolution gridded hourly rainfall dataset for Great Britain: CEH-GEAR1hr
inferredcites →https://doi.org/10.1016/j.jhydrol.2018.09.048openalex-snapshot
The role of evapotranspiration in streamflow modeling – An analysis using entropy
inferredcites →https://doi.org/10.1016/j.jhydrol.2019.124357openalex-snapshot
Dependence of regionalization methods on the complexity of hydrological models in multiple climatic regions
inferredcites →https://doi.org/10.1016/s0022-1694(01)00421-8openalex-snapshot
Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
inferredcites →https://doi.org/10.1016/s0022-1694(02)00137-3openalex-snapshot
Accuracy of radar rainfall estimates for streamflow simulation
inferredcites →https://doi.org/10.1016/s0022-1694(96)03106-xopenalex-snapshot
Uncertainty in rainfall—runoff model simulations and the implications for predicting the hydrologic effects of land-use change
inferredcites →https://doi.org/10.1029/2005wr004559openalex-snapshot
Influence of errors in radar rainfall estimates on hydrological modeling prediction uncertainty
inferredcites →https://doi.org/10.1029/2009wr008668openalex-snapshot
Indices for calibration data selection of the rainfall‐runoff model
inferredcites →https://doi.org/10.1029/2021wr030828openalex-snapshot
On the Precipitation‐Induced Uncertainties in Process‐Based Hydrological Modeling in the Mekong River Basin
inferredcites →https://doi.org/10.1029/2022wr032484openalex-snapshot
Hydrological Model Adaptability to Rainfall Inputs of Varied Quality
inferredcites →https://doi.org/10.1029/wr008i002p00348openalex-snapshot
Errors in output of hydrologic models due to errors in input potential evapotranspiration
inferredcites →https://doi.org/10.1038/s41598-017-00128-5openalex-snapshot
Addressing rainfall data selection uncertainty using connections between rainfall and streamflow
inferredcites →https://doi.org/10.1061/(asce)he.1943-5584.0002157openalex-snapshot
Identifying the Influence of Systematic Errors in Potential Evapotranspiration on Rainfall–Runoff Models
inferredcites →https://doi.org/10.1073/pnas.1704665115openalex-snapshot
Global models underestimate large decadal declining and rising water storage trends relative to GRACE satellite data
inferredcites →https://doi.org/10.1080/02626669409492731openalex-snapshot
Sensitivity of monthly rainfall-runoff models to input errors and data length
inferredcites →https://doi.org/10.1098/rspa.1948.0037openalex-snapshot
Natural evaporation from open water, bare soil and grass
inferredcites →https://doi.org/10.1137/s1052623496303470openalex-snapshot
Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
inferredcites →https://doi.org/10.1175/jhm-d-15-0202.1openalex-snapshot
Assessment of the Influences of Different Potential Evapotranspiration Inputs on the Performance of Monthly Hydrological Models under Different Climatic Conditions
inferredcites →https://doi.org/10.1175/jhm-d-20-0192.1openalex-snapshot
Comparison between dynamic and static sensitivity analysis approaches for impact assessment of different potential evapotranspiration methods on hydrological models performance
inferredcites →https://doi.org/10.1177/0309133315620997openalex-snapshot
Advances in hydrological modelling with the Budyko framework
inferredcites →https://doi.org/10.5194/adgeo-5-89-2005openalex-snapshot
Comparison of different efficiency criteria for hydrological model assessment
inferredcites →https://doi.org/10.5194/essd-12-2459-2020openalex-snapshot
CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain
inferredcites →https://doi.org/10.5194/hess-11-1069-2007openalex-snapshot
Regional climate model data used within the SWURVE project – 1: projected changes in seasonal patterns and estimation of PET
inferredcites →https://doi.org/10.5194/hess-11-483-2007openalex-snapshot
The PDM rainfall-runoff model
inferredcites →https://doi.org/10.5194/hess-16-43-2012openalex-snapshot
Assessing the impact of climate variability on catchment water balance and vegetation cover
inferredcites →https://doi.org/10.5194/hess-17-3639-2013openalex-snapshot
On selection of the optimal data time interval for real-time hydrological forecasting
inferredcites →https://doi.org/10.5194/hess-17-4525-2013openalex-snapshot
Impact of potential and (scintillometer-based) actual evapotranspiration estimates on the performance of a lumped rainfall–runoff model
inferredcites →https://doi.org/10.5194/hess-21-6201-2017openalex-snapshot
Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling
inferredcites →https://doi.org/10.5194/hess-23-4011-2019openalex-snapshot
Benchmarking the predictive capability of hydrological models for river flow and flood peak predictions across over 1000 catchments in Great Britain
inferredcites →https://doi.org/10.5194/hess-26-35-2022openalex-snapshot
How well are we able to close the water budget at the global scale?
inferredcites →https://doi.org/10.5194/hess-4-531-2000openalex-snapshot
Accuracy of rainfall measurement for scales of hydrological interest
inferredcites →https://doi.org/10.5194/hess-4-669-2000openalex-snapshot
Appendix: Data management and data archive for the HYREX Programme
inferredcites →https://doi.org/10.5285/8344e4f3-d2ea-44f5-8afa-86d2987543a9openalex-snapshot
Catchment attributes and hydro-meteorological timeseries for 671 catchments across Great Britain (CAMELS-GB)
inferredcites →https://doi.org/10.5285/8baf805d-39ce-4dac-b224-c926ada353b7openalex-snapshot
Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2015) [CHESS-PE]

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4823044openalex-extracted
Evaluating the Performance of Five Global Gridded Potential Evapotranspiration Products in Hydrological Simulation: Application in the Upper Han River Basin
inferred← citeshttps://doi.org/10.1007/s11269-025-04344-xopenalex-snapshot
Identifying Hydrological Analogous Year from Magnitude and Temporal Patterns
inferred← citeshttps://doi.org/10.1016/j.ejrh.2023.101588openalex-snapshot
Using sub-daily precipitation for grid-based hydrological modelling across Great Britain: Assessing model performance and comparing flood impacts under climate change
inferred← citeshttps://doi.org/10.1016/j.ejrh.2024.102113openalex-snapshot
Hydrological insights: Comparative analysis of gridded potential evapotranspiration products for hydrological simulations and drought assessment
inferred← citeshttps://doi.org/10.1016/j.ejrh.2024.102114openalex-snapshot
Evaluating the performance of five global gridded potential evapotranspiration products in hydrological simulation: Application in the upper Han River Basin
inferred← citeshttps://doi.org/10.1016/j.ejrh.2025.102764openalex-snapshot
Assessing the impacts of climate change and land use/land cover data characteristics on streamflow using the SWAT model in the Upper Han River Basin
inferred← citeshttps://doi.org/10.1016/j.ejrh.2025.102826openalex-snapshot
Evaluating the U.S. National Water Model Retrospective Evapotranspiration Simulation using Eddy-Covariance Flux Tower Measurements
inferred← citeshttps://doi.org/10.1016/j.hydres.2023.11.001openalex-snapshot
Revisit hydrological modeling in ungauged catchments comparing regionalization, satellite observations, and machine learning approaches
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Reducing grid artifacts in air temperature downscaling with a Volume-Preserving interpolation preprocessing step
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Integrating Euclidean and non-Euclidean spatial information for deep learning-based spatiotemporal hydrological simulation
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2024.131888openalex-snapshot
Revisiting evapotranspiration inputs in eco-hydrological modeling for climate change assessment
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2024.132257openalex-snapshot
How has the latest IMERG V07 improved the precipitation estimates and hydrologic utility over CONUS against IMERG V06?
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2025.133706openalex-snapshot
Deciphering coastal plain groundwater dynamics: insights from satellite and hydrologic data in Pinghu City, China
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2025.133910openalex-snapshot
Spatial multiple variables and single variable updating via hydrologic system differential response method in real-time flood forecasting
inferred← citeshttps://doi.org/10.1038/s41598-025-01464-7openalex-snapshot
Machine learning approach for identifying and forecasting streamflow droughts in data limited basins of South Korea using threshold levels
inferred← citeshttps://doi.org/10.1038/s41598-025-20969-9openalex-snapshot
Parameter calibration of the conceptual rainfall–runoff model based on improved quadratic interpolation optimization
inferred← citeshttps://doi.org/10.2139/ssrn.4848343openalex-snapshot
Evaluating the Performance of Five Global Gridded Potential Evapotranspiration Products in Hydrological Simulation: Application in the Upper Han River Basin
inferred← citeshttps://doi.org/10.2139/ssrn.5143088openalex-snapshot
Modeling of Extreme Intensity Rainfall in the Abidjan Area in Southern Ivory Coast
inferred← citeshttps://doi.org/10.2166/wst.2024.381openalex-snapshot
Uncertainty in Evapotranspiration Inputs Impacts Hydrological Modeling
inferred← citeshttps://doi.org/10.3390/hydrology12080216openalex-snapshot
Effectiveness of Wetlands for Improving Different Water Quality Parameters in Various Climatic Conditions
inferred← citeshttps://doi.org/10.3390/su181910015openalex-snapshot
Advanced Hydro-Geospatial Modeling for Groundwater Potential Zoning in the Baro River Watershed: Geographic Information System and Remote Sensing Approach
inferred← citeshttps://doi.org/10.5194/hess-28-4219-2024openalex-snapshot
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