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    Probabilistic Seasonal Prediction of Meteorological Drought Using the Bootstrap and Multivariate Information 

    Source: Journal of Applied Meteorology and Climatology:;2015:;volume( 054 ):;issue: 007:;page 1510
    Author(s): Behrangi, Ali; Nguyen, Hai; Granger, Stephanie
    Publisher: American Meteorological Society
    Abstract: n the present work, a probabilistic ensemble method using the bootstrap is developed to predict the future state of the standard precipitation index (SPI) commonly used for drought monitoring. The methodology is data driven ...
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    On the Surface Temperature Sensitivity of the Reflected Shortwave, Outgoing Longwave, and Net Incident Radiation 

    Source: Journal of Climate:;2012:;volume( 025 ):;issue: 019:;page 6585
    Author(s): Aumann, Hartmut H.; Ruzmaikin, Alexander; Behrangi, Ali
    Publisher: American Meteorological Society
    Abstract: he global-mean top-of-atmosphere incident solar radiation (ISR) minus the outgoing longwave radiation (OLR) and the reflected shortwave radiation (RSW) is the net incident radiation (NET). This study analyzes the global-mean ...
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    Phenomenological Description of Tropical Clouds Using CloudSat Cloud Classification 

    Source: Monthly Weather Review:;2012:;volume( 140 ):;issue: 010:;page 3235
    Author(s): Behrangi, Ali; Kubar, Terry; Lambrigtsen, Bjorn
    Publisher: American Meteorological Society
    Abstract: wo years of tropical oceanic cloud observations are analyzed using the operational CloudSat cloud classification product and Cloud?Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) lidar. Relationships ...
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    Daytime Precipitation Estimation Using Bispectral Cloud Classification System 

    Source: Journal of Applied Meteorology and Climatology:;2009:;volume( 049 ):;issue: 005:;page 1015
    Author(s): Behrangi, Ali; Hsu, Koulin; Imam, Bisher; Sorooshian, Soroosh
    Publisher: American Meteorological Society
    Abstract: Two previously developed Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) algorithms that incorporate cloud classification system (PERSIANN-CCS) and multispectral analysis ...
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    Downscaling of ERA-Interim Temperature in the Contiguous United States and Its Implications for Rain–Snow Partitioning 

    Source: Journal of Hydrometeorology:;2018:;volume 019:;issue 007:;page 1215
    Author(s): Tang, Guoqiang; Behrangi, Ali; Ma, Ziqiang; Long, Di; Hong, Yang
    Publisher: American Meteorological Society
    Abstract: AbstractPrecipitation phase has an important influence on hydrological processes. The Integrated Multisatellite Retrievals for Global Precipitation Measurement (IMERG) uses temperature data from reanalysis products to ...
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    Are Storm Characteristics the Same When Viewed Using Merged Surface Radars or a Merged Satellite Product? 

    Source: Journal of Hydrometeorology:;2021:;volume( 022 ):;issue: 001:;page 43
    Author(s): Ayat, Hooman;Evans, Jason P.;Sherwood, Steven;Behrangi, Ali
    Publisher: American Meteorological Society
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    Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture 

    Source: Journal of Hydrometeorology:;2024:;volume( 025 ):;issue: 006:;page 947
    Author(s): Rahimi, Reyhaneh; Ravirathinam, Praveen; Ebtehaj, Ardeshir; Behrangi, Ali; Tan, Jackson; Kumar, Vipin
    Publisher: American Meteorological Society
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    Satellite-Based Precipitation Estimation and Its Application for Streamflow Prediction over Mountainous Western U.S. Basins 

    Source: Journal of Applied Meteorology and Climatology:;2014:;volume( 053 ):;issue: 012:;page 2823
    Author(s): Behrangi, Ali; Andreadis, Konstantinos; Fisher, Joshua B.; Turk, F. Joseph; Granger, Stephanie; Painter, Thomas; Das, Narendra
    Publisher: American Meteorological Society
    Abstract: ecognizing the importance and challenges inherent to the remote sensing of precipitation in mountainous areas, this study investigates the performance of the commonly used satellite-based high-resolution precipitation ...
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    Evaluation of MRMS snowfall products over the western United States 

    Source: Journal of Hydrometeorology:;2017:;Volume( 018 ):;issue: 006:;page 1707
    Author(s): Wen, Yixin; Kirstetter, Pierre; Gourley, J. J.; Hong, Yang; Behrangi, Ali; Flamig, Zachary
    Publisher: American Meteorological Society
    Abstract: now is important to water resources and is of critical importance to our society. Ground weather radar-based snowfall observations have been highly desirable for large-scale weather monitoring and water resources applications. ...
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    Evaluating the Utility of Multispectral Information in Delineating the Areal Extent of Precipitation 

    Source: Journal of Hydrometeorology:;2009:;Volume( 010 ):;issue: 003:;page 684
    Author(s): Behrangi, Ali; Hsu, Kuo-lin; Imam, Bisher; Sorooshian, Soroosh; Kuligowski, Robert J.
    Publisher: American Meteorological Society
    Abstract: Data from geosynchronous Earth-orbiting (GEO) satellites equipped with visible (VIS) and infrared (IR) scanners are commonly used in rain retrieval algorithms. These algorithms benefit from the high spatial and temporal ...
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    DSpace software copyright © 2002-2015  DuraSpace
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