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    Automated Quality Control of In Situ Soil Moisture from the North American Soil Moisture Database Using NLDAS-2 Products 

    Source: Journal of Applied Meteorology and Climatology:;2015:;volume( 054 ):;issue: 006:;page 1267
    Author(s): Xia, Youlong; Ford, Trent W.; Wu, Yihua; Quiring, Steven M.; Ek, Michael B.
    Publisher: American Meteorological Society
    Abstract: he North American Soil Moisture Database (NASMD) was initiated in 2011 to provide support for developing climate forecasting tools, calibrating land surface models, and validating satellite-derived soil moisture algorithms. ...
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    A Statistical Method for Categorical Drought Prediction Based on NLDAS-2 

    Source: Journal of Applied Meteorology and Climatology:;2015:;volume( 055 ):;issue: 004:;page 1049
    Author(s): Hao, Zengchao; Hao, Fanghua; Xia, Youlong; Singh, Vijay P.; Hong, Yang; Shen, Xinyi; Ouyang, Wei
    Publisher: American Meteorological Society
    Abstract: rought is a slowly varying natural phenomenon and may have wide impacts on a range of sectors. Tremendous efforts have therefore been devoted to drought monitoring and prediction to reduce potential impacts of drought. ...
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    An overview of drought monitoring and prediction systems at regional and global scales 

    Source: Bulletin of the American Meteorological Society:;2017:;volume( 098 ):;issue: 009:;page 1879
    Author(s): Hao, Zengchao; Yuan, Xing; Xia, Youlong; Hao, Fanghua; Singh, Vijay P.
    Publisher: American Meteorological Society
    Abstract: n past decades, severe drought events have struck different regions around the world, leading to huge losses to a wide array of environmental and societal sectors. Due to wide impacts of drought, it is of critical importance ...
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    Noah LSM Snow Model Diagnostics and Enhancements 

    Source: Journal of Hydrometeorology:;2010:;Volume( 011 ):;issue: 003:;page 721
    Author(s): Livneh, Ben; Xia, Youlong; Mitchell, Kenneth E.; Ek, Michael B.; Lettenmaier, Dennis P.
    Publisher: American Meteorological Society
    Abstract: A negative snow water equivalent (SWE) bias in the snow model of the Noah land surface scheme used in the NCEP suite of numerical weather and climate prediction models has been noted by several investigators. This bias ...
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    Multidataset Study of Optimal Parameter and Uncertainty Estimation of a Land Surface Model with Bayesian Stochastic Inversion and Multicriteria Method 

    Source: Journal of Applied Meteorology:;2004:;volume( 043 ):;issue: 010:;page 1477
    Author(s): Xia, Youlong; Sen, Mrinal K.; Jackson, Charles S.; Stoffa, Paul L.
    Publisher: American Meteorological Society
    Abstract: This study evaluates the ability of Bayesian stochastic inversion (BSI) and multicriteria (MC) methods to search for the optimal parameter sets of the Chameleon Surface Model (CHASM) using prescribed forcing to simulate ...
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    Comparison of NLDAS-2 Simulated and NASMD Observed Daily Soil Moisture. Part I: Comparison and Analysis 

    Source: Journal of Hydrometeorology:;2015:;Volume( 016 ):;issue: 005:;page 1962
    Author(s): Xia, Youlong; Ek, Michael B.; Wu, Yihua; Ford, Trent; Quiring, Steven M.
    Publisher: American Meteorological Society
    Abstract: oil moisture observations from seven observational networks (spanning portions of seven states) with different biome and climate conditions were used in this study to evaluate multimodel simulated soil moisture products. ...
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    Comparison of NLDAS-2 Simulated and NASMD Observed Daily Soil Moisture. Part II: Impact of Soil Texture Classification and Vegetation Type Mismatches 

    Source: Journal of Hydrometeorology:;2015:;Volume( 016 ):;issue: 005:;page 1981
    Author(s): Xia, Youlong; Ek, Michael B.; Wu, Yihua; Ford, Trent; Quiring, Steven M.
    Publisher: American Meteorological Society
    Abstract: n this second part of a two-part paper, the impacts of soil texture and vegetation type misclassification and their combined effect on soil moisture, evapotranspiration, and total runoff simulation are investigated using ...
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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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    Drought Indices Based on the Climate Forecast System Reanalysis and Ensemble NLDAS 

    Source: Journal of Hydrometeorology:;2010:;Volume( 012 ):;issue: 002:;page 181
    Author(s): Mo, Kingtse C.; Long, Lindsey N.; Xia, Youlong; Yang, S. K.; Schemm, Jae E.; Ek, Michael
    Publisher: American Meteorological Society
    Abstract: Drought indices derived from the Climate Forecast System Reanalysis (CFSR) are compared with indices derived from the ensemble North American Land Data Assimilation System (NLDAS) and the North American Regional Reanalysis ...
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    Validation of Noah-Simulated Soil Temperature in the North American Land Data Assimilation System Phase 2 

    Source: Journal of Applied Meteorology and Climatology:;2012:;volume( 052 ):;issue: 002:;page 455
    Author(s): Xia, Youlong; Ek, Michael; Sheffield, Justin; Livneh, Ben; Huang, Maoyi; Wei, Helin; Feng, Song; Luo, Lifeng; Meng, Jesse; Wood, Eric
    Publisher: American Meteorological Society
    Abstract: oil temperature can exhibit considerable memory from weather and climate signals and is among the most important initial conditions in numerical weather and climate models. Consequently, a more accurate long-term land ...
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