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    A Deep Learning Data Fusion Model Using Sentinel-1/2, SoilGrids, SMAP, and GLDAS for Soil Moisture Retrieval 

    Source: Journal of Hydrometeorology:;2023:;volume( 024 ):;issue: 010:;page 1789
    Author(s): Batchu, Vishal; Nearing, Grey; Gulshan, Varun
    Publisher: American Meteorological Society
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    The Impact of Vertical Measurement Depth on the Information Content of Soil Moisture for Latent Heat Flux Estimation 

    Source: Journal of Hydrometeorology:;2016:;Volume( 017 ):;issue: 009:;page 2419
    Author(s): Qiu, Jianxiu; Crow, Wade T.; Nearing, Grey S.
    Publisher: American Meteorological Society
    Abstract: his study aims to identify the impact of vertical support on the information content of soil moisture (SM) for latent heat flux estimation. This objective is achieved via calculation of the mutual information (MI) content ...
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    Benchmarking of a Physically Based Hydrologic Model 

    Source: Journal of Hydrometeorology:;2017:;Volume( 018 ):;issue: 008:;page 2215
    Author(s): Newman, Andrew J.;Mizukami, Naoki;Clark, Martyn P.;Wood, Andrew W.;Nijssen, Bart;Nearing, Grey
    Publisher: American Meteorological Society
    Abstract: AbstractThe concepts of model benchmarking, model agility, and large-sample hydrology are becoming more prevalent in hydrologic and land surface modeling. As modeling systems become more sophisticated, these concepts have ...
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    Benchmarking NLDAS-2 Soil Moisture and Evapotranspiration to Separate Uncertainty Contributions 

    Source: Journal of Hydrometeorology:;2016:;Volume( 017 ):;issue: 003:;page 745
    Author(s): Nearing, Grey S.; Mocko, David M.; Peters-Lidard, Christa D.; Kumar, Sujay V.; Xia, Youlong
    Publisher: American Meteorological Society
    Abstract: odel benchmarking allows us to separate uncertainty in model predictions caused by model inputs from uncertainty due to model structural error. This method is extended with a ?large sample? approach (using data from multiple ...
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    Parameter Sensitivity of the Noah-MP Land Surface Model with Dynamic Vegetation 

    Source: Journal of Hydrometeorology:;2018:;volume 019:;issue 005:;page 815
    Author(s): Arsenault, Kristi R.; Nearing, Grey S.; Wang, Shugong; Yatheendradas, Soni; Peters-Lidard, Christa D.
    Publisher: American Meteorological Society
    Abstract: Abstract The Noah land surface model with multiple parameterization options (Noah-MP) includes a routine for the dynamic simulation of vegetation carbon assimilation and soil carbon decomposition processes. To use remote ...
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    Benchmarking and Process Diagnostics of Land Models 

    Source: Journal of Hydrometeorology:;2018:;volume 019:;issue 011:;page 1835
    Author(s): Nearing, Grey S.; Ruddell, Benjamin L.; Clark, Martyn P.; Nijssen, Bart; Peters-Lidard, Christa
    Publisher: American Meteorological Society
    Abstract: AbstractWe propose a conceptual and theoretical foundation for information-based model benchmarking and process diagnostics that provides diagnostic insight into model performance and model realism. We benchmark against a ...
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    The Plumbing of Land Surface Models: Is Poor Performance a Result of Methodology or Data Quality? 

    Source: Journal of Hydrometeorology:;2016:;Volume( 017 ):;issue: 006:;page 1705
    Author(s): Haughton, Ned; Abramowitz, Gab; Pitman, Andy J.; Or, Dani; Best, Martin J.; Johnson, Helen R.; Balsamo, Gianpaolo; Boone, Aaron; Cuntz, Matthias; Decharme, Bertrand; Dirmeyer, Paul A.; Dong, Jairui; Ek, Michael; Guo, Zichang; Haverd, Vanessa; van den Hurk, Bart J. J.; Nearing, Grey S.; Pak, Bernard; Santanello, Joe A.; Stevens, Lauren E.; Vuichard, Nicolas
    Publisher: American Meteorological Society
    Abstract: he Protocol for the Analysis of Land Surface Models (PALS) Land Surface Model Benchmarking Evaluation Project (PLUMBER) illustrated the value of prescribing a priori performance targets in model intercomparisons. It showed ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian