YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    Search 
    •   YE&T Library
    • Search
    •   YE&T Library
    • Search
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Search

    Show Advanced FiltersHide Advanced Filters

    Filters

    Use filters to refine the search results.

    Now showing items 1-10 of 59

    • Relevance
    • Title Asc
    • Title Desc
    • Year Asc
    • Year Desc
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
  • Export
    • CSV
    • RIS
    • Sort Options:
    • Relevance
    • Title Asc
    • Title Desc
    • Issue Date Asc
    • Issue Date Desc
    • Results Per Page:
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100

    Scientific Verification of Deterministic River Stage Forecasts 

    Source: Journal of Hydrometeorology:;2009:;Volume( 010 ):;issue: 002:;page 507
    Author(s): Welles, Edwin; Sorooshian, Soroosh
    Publisher: American Meteorological Society
    Abstract: One element of a complete verification system is the ability to determine why forecasts behave as they do. This paper describes and demonstrates an operationally feasible method for conducting this type of diagnostic ...
    Request PDF

    A Stochastic Precipitation Disaggregation Scheme for GCM Applications 

    Source: Journal of Climate:;1994:;volume( 007 ):;issue: 002:;page 238
    Author(s): Gao, Xiaogang; Sorooshian, Soroosh
    Publisher: American Meteorological Society
    Abstract: In the surface hydrologic pararmeterization of general circulation models (GCMs), it is commonly assumed that the precipitation processes are homogeneous over a GCM grid square and that the precipitation intensity is ...
    Request PDF

    LMODEL: A Satellite Precipitation Methodology Using Cloud Development Modeling. Part I: Algorithm Construction and Calibration 

    Source: Journal of Hydrometeorology:;2009:;Volume( 010 ):;issue: 005:;page 1081
    Author(s): Bellerby, Tim; Hsu, Kuo-lin; Sorooshian, Soroosh
    Publisher: American Meteorological Society
    Abstract: The Lagrangian Model (LMODEL) is a new multisensor satellite rainfall monitoring methodology based on the use of a conceptual cloud-development model that is driven by geostationary satellite imagery and is locally updated ...
    Request PDF

    Evaluation of Official Western U.S. Seasonal Water Supply Outlooks, 1922–2002 

    Source: Journal of Hydrometeorology:;2004:;Volume( 005 ):;issue: 005:;page 896
    Author(s): Pagano, Thomas; Garen, David; Sorooshian, Soroosh
    Publisher: American Meteorological Society
    Abstract: An analysis was conducted of almost 5000 operational seasonal streamflow forecast errors across the western United States. These forecasts are for 29 unregulated rivers with diversity in geography and climate. Deterministic ...
    Request PDF

    A Statistical Model for the Uncertainty Analysis of Satellite Precipitation Products 

    Source: Journal of Hydrometeorology:;2015:;Volume( 016 ):;issue: 005:;page 2101
    Author(s): Sarachi, Sepideh; Hsu, Kuo-lin; Sorooshian, Soroosh
    Publisher: American Meteorological Society
    Abstract: arth-observing satellites provide a method to measure precipitation from space with good spatial and temporal coverage, but these estimates have a high degree of uncertainty associated with them. Understanding and quantifying ...
    Request PDF

    Assessment of the Spatial and Seasonal Variation of the Error–Intensity Relationship in Satellite-Based Precipitation Measurements Using an Adaptive Parametric Model 

    Source: Journal of Hydrometeorology:;2015:;Volume( 016 ):;issue: 004:;page 1700
    Author(s): Liu, Hao; Sorooshian, Soroosh; Gao, Xiaogang
    Publisher: American Meteorological Society
    Abstract: tudies have been reported about the efficacy of satellites for measuring precipitation and about quantifying their errors. Based on these studies, the errors are associated with a number of factors, among them, intensity, ...
    Request PDF

    An Object-Oriented Approach to Investigate Impacts of Climate Oscillations on Precipitation: A Western United States Case Study 

    Source: Journal of Hydrometeorology:;2015:;Volume( 016 ):;issue: 002:;page 830
    Author(s): Sellars, Scott Lee; Gao, Xiaogang; Sorooshian, Soroosh
    Publisher: American Meteorological Society
    Abstract: his manuscript introduces a novel computational science approach for studying the impact of climate variability on precipitation. The approach uses an object-oriented connectivity algorithm that segments gridded near-global ...
    Request PDF

    An Artificial Neural Network Model to Reduce False Alarms in Satellite Precipitation Products Using MODIS and CloudSat Observations 

    Source: Journal of Hydrometeorology:;2013:;Volume( 014 ):;issue: 006:;page 1872
    Author(s): Nasrollahi, Nasrin; Hsu, Kuolin; Sorooshian, Soroosh
    Publisher: American Meteorological Society
    Abstract: he Moderate Resolution Imaging Spectroradiometer (MODIS) instrument aboard the NASA Earth Observing System (EOS) Aqua and Terra platform with 36 spectral bands provides valuable information about cloud microphysical ...
    Request PDF

    Hydrological Projections under CMIP5 and CMIP6: Sources and Magnitudes of Uncertainty 

    Source: Bulletin of the American Meteorological Society:;2024:;volume( 105 ):;issue: 001:;page E59
    Author(s): Wu, Yi; Miao, Chiyuan; Slater, Louise; Fan, Xuewei; Chai, Yuanfang; Sorooshian, Soroosh
    Publisher: American Meteorological Society
    Request PDF

    Verification of National Weather Service Ensemble Streamflow Predictions for Water Supply Forecasting in the Colorado River Basin 

    Source: Journal of Hydrometeorology:;2003:;Volume( 004 ):;issue: 006:;page 1105
    Author(s): Franz, Kristie J.; Hartmann, Holly C.; Sorooshian, Soroosh; Bales, Roger
    Publisher: American Meteorological Society
    Abstract: The Ensemble Streamflow Prediction (ESP) system, developed by the National Weather Service (NWS), uses conceptual hydrologic models and historical data to generate a set, or ensemble, of possible streamflow scenarios ...
    Request PDF
    • 1
    • 2
    • 3
    • 4
    • . . .
    • 6
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     

    Author

    ... View More

    Publisher

    Year

    Type

    Language (ISO)

    Content Type

    Publication Title

    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian