FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1890939602> ?p ?o ?g. }

• W1890939602 endingPage "2100" @default.
• W1890939602 startingPage "2086" @default.
• W1890939602 abstract "Abstract Using the Connecticut River basin as an example, this study assesses the extent to which remote sensing data can help improve hydrological modeling and how it may influence projected future hydrological trends. The dynamic leaf area index (LAI) derived from satellite remote sensing was incorporated into the Variable Infiltration Capacity model (VIC) to enable an interannually varying seasonal cycle of vegetation (VICVEG); the evapotranspiration (ET) data based on remote sensing were combined with ET from a default VIC simulation to develop a simple bias-correction algorithm, and the simulation was then repeated with the bias-corrected ET replacing the simulated ET in the model (VICET). VICET performs significantly better in simulating the temporal variability of river discharge at daily, biweekly, monthly, and seasonal time scales, while VICVEG better captures the interannual variability of discharge, particularly in the winter and spring, and shows slight improvements to soil moisture estimates. The methodology of incorporating ET data into VIC as a bias-correction tool also influences the modeled future hydrological trends. Compared to the default VIC, VICET portrays a future characterized by greater drought risk and a stronger decreasing trend of minimum river flows. Integrating remote sensing data with hydrological modeling helps characterize the range of model-related uncertainties and more accurately reconstruct historic river flow estimates, leading to a better understanding and prediction of hydrological response to future climate changes." @default.
• W1890939602 created "2016-06-24" @default.
• W1890939602 creator A5054119553 @default.
• W1890939602 creator A5070940162 @default.
• W1890939602 creator A5087927790 @default.
• W1890939602 date "2015-10-01" @default.
• W1890939602 modified "2023-10-14" @default.
• W1890939602 title "Integrating Remote Sensing Data on Evapotranspiration and Leaf Area Index with Hydrological Modeling: Impacts on Model Performance and Future Predictions" @default.
• W1890939602 cites W1875480556 @default.
• W1890939602 cites W1943142602 @default.
• W1890939602 cites W2005764746 @default.
• W1890939602 cites W2008662129 @default.
• W1890939602 cites W2010041793 @default.
• W1890939602 cites W2011196014 @default.
• W1890939602 cites W2012968254 @default.
• W1890939602 cites W2018380065 @default.
• W1890939602 cites W2041307865 @default.
• W1890939602 cites W2048570972 @default.
• W1890939602 cites W2055695879 @default.
• W1890939602 cites W2060975319 @default.
• W1890939602 cites W2065454207 @default.
• W1890939602 cites W2065950718 @default.
• W1890939602 cites W2076132436 @default.
• W1890939602 cites W2087405923 @default.
• W1890939602 cites W2087668831 @default.
• W1890939602 cites W2094670267 @default.
• W1890939602 cites W2095346387 @default.
• W1890939602 cites W2117182721 @default.
• W1890939602 cites W2121345872 @default.
• W1890939602 cites W2122389133 @default.
• W1890939602 cites W2122513430 @default.
• W1890939602 cites W2125359506 @default.
• W1890939602 cites W2129859781 @default.
• W1890939602 cites W2133831422 @default.
• W1890939602 cites W2152977202 @default.
• W1890939602 cites W2158268769 @default.
• W1890939602 cites W2160275807 @default.
• W1890939602 cites W2163145639 @default.
• W1890939602 cites W2163801134 @default.
• W1890939602 cites W2167731682 @default.
• W1890939602 cites W2169269577 @default.
• W1890939602 cites W2169844123 @default.
• W1890939602 cites W2170396766 @default.
• W1890939602 doi "https://doi.org/10.1175/jhm-d-15-0009.1" @default.
• W1890939602 hasPublicationYear "2015" @default.
• W1890939602 type Work @default.
• W1890939602 sameAs 1890939602 @default.
• W1890939602 citedByCount "30" @default.
• W1890939602 countsByYear W18909396022015 @default.
• W1890939602 countsByYear W18909396022017 @default.
• W1890939602 countsByYear W18909396022018 @default.
• W1890939602 countsByYear W18909396022019 @default.
• W1890939602 countsByYear W18909396022020 @default.
• W1890939602 countsByYear W18909396022021 @default.
• W1890939602 countsByYear W18909396022022 @default.
• W1890939602 countsByYear W18909396022023 @default.
• W1890939602 crossrefType "journal-article" @default.
• W1890939602 hasAuthorship W1890939602A5054119553 @default.
• W1890939602 hasAuthorship W1890939602A5070940162 @default.
• W1890939602 hasAuthorship W1890939602A5087927790 @default.
• W1890939602 hasBestOaLocation W18909396021 @default.
• W1890939602 hasConcept C121332964 @default.
• W1890939602 hasConcept C126197015 @default.
• W1890939602 hasConcept C126645576 @default.
• W1890939602 hasConcept C127313418 @default.
• W1890939602 hasConcept C133830359 @default.
• W1890939602 hasConcept C142724271 @default.
• W1890939602 hasConcept C153294291 @default.
• W1890939602 hasConcept C176783924 @default.
• W1890939602 hasConcept C187320778 @default.
• W1890939602 hasConcept C18903297 @default.
• W1890939602 hasConcept C205649164 @default.
• W1890939602 hasConcept C25989453 @default.
• W1890939602 hasConcept C2776133958 @default.
• W1890939602 hasConcept C39432304 @default.
• W1890939602 hasConcept C49204034 @default.
• W1890939602 hasConcept C53739315 @default.
• W1890939602 hasConcept C58640448 @default.
• W1890939602 hasConcept C62649853 @default.
• W1890939602 hasConcept C71924100 @default.
• W1890939602 hasConcept C76886044 @default.
• W1890939602 hasConcept C86803240 @default.
• W1890939602 hasConceptScore W1890939602C121332964 @default.
• W1890939602 hasConceptScore W1890939602C126197015 @default.
• W1890939602 hasConceptScore W1890939602C126645576 @default.
• W1890939602 hasConceptScore W1890939602C127313418 @default.
• W1890939602 hasConceptScore W1890939602C133830359 @default.
• W1890939602 hasConceptScore W1890939602C142724271 @default.
• W1890939602 hasConceptScore W1890939602C153294291 @default.
• W1890939602 hasConceptScore W1890939602C176783924 @default.
• W1890939602 hasConceptScore W1890939602C187320778 @default.
• W1890939602 hasConceptScore W1890939602C18903297 @default.
• W1890939602 hasConceptScore W1890939602C205649164 @default.
• W1890939602 hasConceptScore W1890939602C25989453 @default.
• W1890939602 hasConceptScore W1890939602C2776133958 @default.
• W1890939602 hasConceptScore W1890939602C39432304 @default.
• W1890939602 hasConceptScore W1890939602C49204034 @default.
• W1890939602 hasConceptScore W1890939602C53739315 @default.

• next