On the public citation graph

Evaluating the Performance of Five Global Gridded Potential Evapotranspiration Products in Hydrological Simulation: Application in the Upper Han River Basin

https://doi.org/10.2139/ssrn.4848343
0 signed · 62 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1002/2015jg003006openalex-extracted
Modeling actual evapotranspiration with routine meteorological variables in the data‐scarce region of the Tibetan Plateau: Comparisons and implications
inferredcites →https://doi.org/10.1002/2016gl069121openalex-extracted
Impacts of recent climate change on trends in baseflow and stormflow in United States watersheds
inferredcites →https://doi.org/10.1002/2016jd024781openalex-extracted
Evaluation of reanalysis, spatially interpolated and satellite remotely sensed precipitation data sets in central Asia
inferredcites →https://doi.org/10.1002/essoar.10502731.1openalex-extracted
Using Remote Sensing Data-based Hydrological Model Calibrations for Predicting Runoff in Ungauged or Poorly Gauged Catchments
inferredcites →https://doi.org/10.1002/joc.5218openalex-extracted
Implications of potential evapotranspiration methods for streamflow estimations under changing climatic conditions
inferredcites →https://doi.org/10.1007/s10113-020-01615-8openalex-extracted
Sensitivity of discharge projections to potential evapotranspiration estimation in Northern Tunisia
inferredcites →https://doi.org/10.1007/s11442-015-1161-3openalex-extracted
Evaluating the suitability of TRMM satellite rainfall data for hydrological simulation using a distributed hydrological model in the Weihe River catchment in China
inferredcites →https://doi.org/10.1016/0022-1694(70)90255-6openalex-extracted
River flow forecasting through conceptual models part I — A discussion of principles
inferredcites →https://doi.org/10.1016/j.advwatres.2022.104145openalex-extracted
Hydrologic investigations of radar-rainfall error propagation to rainfall-runoff model hydrographs
inferredcites →https://doi.org/10.1016/j.agrformet.2018.01.022openalex-extracted
Stand-alone uncertainty characterization of GLEAM, GLDAS and MOD16 evapotranspiration products using an extended triple collocation approach
inferredcites →https://doi.org/10.1016/j.agwat.2003.12.003openalex-extracted
Comparing Penman–Monteith and Priestley–Taylor approaches as reference-evapotranspiration inputs for modeling maize water-use under Mediterranean conditions
inferredcites →https://doi.org/10.1016/j.agwat.2016.03.004openalex-extracted
Evaluation of potential evapotranspiration assessment methods for hydrological modelling with SWAT—Application in data-scarce rural Tunisia
inferredcites →https://doi.org/10.1016/j.agwat.2020.106545openalex-extracted
Evaluation of 18 models for calculating potential evapotranspiration in different climatic zones of China
inferredcites →https://doi.org/10.1016/j.agwat.2021.107378openalex-extracted
Methods to estimate evapotranspiration in humid and subtropical climate conditions
inferredcites →https://doi.org/10.1016/j.atmosres.2020.105141openalex-extracted
Utility of integrated IMERG precipitation and GLEAM potential evapotranspiration products for drought monitoring over mainland China
inferredcites →https://doi.org/10.1016/j.ecolind.2022.109076openalex-extracted
Quantitative driving analysis of climate on potential evapotranspiration in Loess Plateau incorporating synergistic effects
inferredcites →https://doi.org/10.1016/j.ejrh.2015.04.008openalex-extracted
Regional scale estimates of baseflow and factors influencing baseflow in the Upper Colorado River Basin
inferredcites →https://doi.org/10.1016/j.ejrh.2022.101234openalex-extracted
Evaluation of three gridded potential evapotranspiration datasets for streamflow simulation in three inland river basins in the arid Hexi Corridor, Northwest China
inferredcites →https://doi.org/10.1016/j.ejrh.2023.101447openalex-extracted
An approach to select optimum inputs for hydrological modeling to improve simulation accuracy in data-scarce regions
inferredcites →https://doi.org/10.1016/j.jhydrol.2009.08.003openalex-extracted
Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
inferredcites →https://doi.org/10.1016/j.jhydrol.2016.10.022openalex-extracted
Evaluation of six potential evapotranspiration models for estimating crop potential and actual evapotranspiration in arid regions
inferredcites →https://doi.org/10.1016/j.jhydrol.2017.04.036openalex-extracted
Implementation of evapotranspiration data assimilation with catchment scale distributed hydrological model via an ensemble Kalman Filter
inferredcites →https://doi.org/10.1016/j.jhydrol.2018.09.065openalex-extracted
Intercomparison and evaluation of three global high-resolution evapotranspiration products across China
inferredcites →https://doi.org/10.1016/j.jhydrol.2019.124105openalex-extracted
Evaluation of twelve evapotranspiration products from machine learning, remote sensing and land surface models over conterminous United States
inferredcites →https://doi.org/10.1016/j.jhydrol.2022.127960openalex-extracted
A modified hydrologic model for examining the capability of global gridded PET products in improving hydrological simulation accuracy of surface runoff, streamflow and baseflow
inferredcites →https://doi.org/10.1016/j.jhydrol.2022.128042openalex-extracted
Assessing future runoff changes with different potential evapotranspiration inputs based on multi-model ensemble of CMIP5 projections
inferredcites →https://doi.org/10.1016/j.jhydrol.2022.128294openalex-extracted
Evaluation of gridded datasets for terrestrial water budget assessment in the Upper Jhelum River Basin-South Asia
inferredcites →https://doi.org/10.1016/j.jhydrol.2023.129407openalex-extracted
Estimating reference evapotranspiration using Penman-Monteith equation integrated with optimized solar radiation models
inferredcites →https://doi.org/10.1016/j.jhydrol.2023.129820openalex-extracted
Learning from hydrological models’ challenges: A case study from the Nelson basin model intercomparison project
inferredcites →https://doi.org/10.1016/j.jhydrol.2023.130057openalex-extracted
Future changes in hydrological drought across the Yangtze River Basin: identification, spatial–temporal characteristics, and concurrent probability
inferredcites →https://doi.org/10.1016/j.rse.2011.02.019openalex-extracted
Improvements to a MODIS global terrestrial evapotranspiration algorithm
inferredcites →https://doi.org/10.1016/j.rse.2012.12.007openalex-extracted
Effects of spatial aggregation on the multi-scale estimation of evapotranspiration
inferredcites →https://doi.org/10.1016/j.rse.2015.07.021openalex-extracted
Using uncertainty of Penman and Penman–Monteith methods in combined satellite and ground-based evapotranspiration estimates
inferredcites →https://doi.org/10.1016/j.scitotenv.2018.06.233openalex-extracted
Incorporating vegetation dynamics noticeably improved performance of hydrological model under vegetation greening
inferredcites →https://doi.org/10.1029/2007wr006768openalex-extracted
Quantification of effects of climate variations and human activities on runoff by a monthly water balance model: A case study of the Chaobai River basin in northern China
inferredcites →https://doi.org/10.1029/2018jd029775openalex-extracted
Dynamics and Attributions of Baseflow in the Semiarid Loess Plateau
inferredcites →https://doi.org/10.1029/2020wr027349openalex-extracted
Global Changes in Baseflow Under the Impacts of Changing Climate and Vegetation
inferredcites →https://doi.org/10.1029/2020wr028205openalex-extracted
Using Remote Sensing Data‐Based Hydrological Model Calibrations for Predicting Runoff in Ungauged or Poorly Gauged Catchments
inferredcites →https://doi.org/10.1029/2022gc010821openalex-extracted
Global‐Krigger: A Global Kriging Interpolation Toolbox With Paleoclimatology Examples
inferredcites →https://doi.org/10.1029/2022wr032484openalex-extracted
Hydrological Model Adaptability to Rainfall Inputs of Varied Quality
inferredcites →https://doi.org/10.1029/2022wr033323openalex-extracted
Interacting Effects of Precipitation and Potential Evapotranspiration Biases on Hydrological Modeling
inferredcites →https://doi.org/10.1029/2022wr033447openalex-extracted
Which Potential Evapotranspiration Formula to Use in Hydrological Modeling World‐Wide?
inferredcites →https://doi.org/10.1029/91wr02985openalex-extracted
Effective and efficient global optimization for conceptual rainfall‐runoff models
inferredcites →https://doi.org/10.1080/02693799008941549openalex-extracted
Kriging: a method of interpolation for geographical information systems
inferredcites →https://doi.org/10.1098/rspa.1948.0037openalex-extracted
Natural evaporation from open water, bare soil and grass
inferredcites →https://doi.org/10.1175/1520-0493(1972)100<0081:otaosh>2.3.co;2openalex-extracted
On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters
inferredcites →https://doi.org/10.1175/bams-85-3-381openalex-extracted
The Global Land Data Assimilation System
inferredcites →https://doi.org/10.1175/jhm-d-15-0202.1openalex-extracted
Assessment of the Influences of Different Potential Evapotranspiration Inputs on the Performance of Monthly Hydrological Models under Different Climatic Conditions
inferredcites →https://doi.org/10.13031/2013.23153openalex-extracted
Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations
inferredcites →https://doi.org/10.13031/2013.26773openalex-extracted
Reference Crop Evapotranspiration from Temperature
inferredcites →https://doi.org/10.1360/03yd0183openalex-extracted
Development of distributed time-variant gain model for nonlinear hydrological systems
inferredcites →https://doi.org/10.2134/agronj2018.10.0694openalex-extracted
Comparison of Penman–Monteith and Priestley‐Taylor Evapotranspiration Methods for Crop Modeling in Oklahoma
inferredcites →https://doi.org/10.3390/rs13245148openalex-extracted
Assessing Satellite, Land Surface Model and Reanalysis Evapotranspiration Products in the Absence of In-Situ in Central Asia
inferredcites →https://doi.org/10.3390/rs14184546openalex-extracted
Evaluation of Remote Sensing-Based Evapotranspiration Datasets for Improving Hydrological Model Simulation in Humid Region of East China
inferredcites →https://doi.org/10.5194/essd-10-951-2018openalex-extracted
Historical gridded reconstruction of potential evapotranspiration for the UK
inferredcites →https://doi.org/10.5194/essd-13-4349-2021openalex-extracted
ERA5-Land: a state-of-the-art global reanalysis dataset for land applications
inferredcites →https://doi.org/10.5194/gmd-10-1903-2017openalex-extracted
GLEAM v3: satellite-based land evaporation and root-zone soil moisture
inferredcites →https://doi.org/10.5194/hess-15-453-2011openalex-extracted
Global land-surface evaporation estimated from satellite-based observations
inferredcites →https://doi.org/10.5194/hess-18-575-2014openalex-extracted
When does higher spatial resolution rainfall information improve streamflow simulation? An evaluation using 3620 flood events
inferredcites →https://doi.org/10.5194/hess-23-2647-2019openalex-extracted
Sensitivity of hydrological models to temporal and spatial resolutions of rainfall data
inferredcites →https://doi.org/10.5194/hess-25-5623-2021openalex-extracted
Vegetation greening weakened the capacity of water supply to China's South-to-North Water Diversion Project
inferredcites →https://doi.org/10.5194/hess-26-505-2022openalex-extracted
Regionalization of hydrological model parameters using gradient boosting machine
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.