Hasil Pencarian - Soroosh Sorooshian

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  1. 1
    Improving Monsoon Precipitation Prediction Using Combined Convolutional and Long Short Term Memory Neural Network

    Improving Monsoon Precipitation Prediction Using Combined Convolutional and Long Short Term Memory Neural Network oleh Qinghua Miao, Baoxiang Pan, Hao Wang, Kuolin Hsu, Soroosh Sorooshian

    Diterbitkan 2019-05-01
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  2. 2
    Object-Based Assessment of Satellite Precipitation Products

    Object-Based Assessment of Satellite Precipitation Products oleh Jingjing Li, Kuo-Lin Hsu, Amir AghaKouchak, Soroosh Sorooshian

    Diterbitkan 2016-06-01
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  3. 3
    Evaluation for Moroccan dynamically downscaled precipitation from GCM CHAM5 and its regional hydrologic response

    Evaluation for Moroccan dynamically downscaled precipitation from GCM CHAM5 and its regional hydrologic response oleh Tsou Jaw, Jialun Li, Kuo-lin Hsu, Soroosh Sorooshian, Fatima Driouech

    Diterbitkan 2015-03-01
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  4. 4
    Error Characteristics and Scale Dependence of Current Satellite Precipitation Estimates Products in Hydrological Modeling

    Error Characteristics and Scale Dependence of Current Satellite Precipitation Estimates Products in Hydrological Modeling oleh Yuhang Zhang, Aizhong Ye, Phu Nguyen, Bita Analui, Soroosh Sorooshian, Kuolin Hsu

    Diterbitkan 2021-08-01
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  5. 5
    The Application of PERSIANN Family Datasets for Hydrological Modeling

    The Application of PERSIANN Family Datasets for Hydrological Modeling oleh Hossein Salehi, Mojtaba Sadeghi, Saeed Golian, Phu Nguyen, Conor Murphy, Soroosh Sorooshian

    Diterbitkan 2022-07-01
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  6. 6
    PERSIANN-CCS-CDR, a 3-hourly 0.04° global precipitation climate data record for heavy precipitation studies

    PERSIANN-CCS-CDR, a 3-hourly 0.04° global precipitation climate data record for heavy precipitation studies oleh Mojtaba Sadeghi, Phu Nguyen, Matin Rahnamay Naeini, Kuolin Hsu, Dan Braithwaite, Soroosh Sorooshian

    Diterbitkan 2021-06-01
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  7. 7
    Author Correction: Unveiling four decades of intensifying precipitation from tropical cyclones using satellite measurements

    Author Correction: Unveiling four decades of intensifying precipitation from tropical cyclones using satellite measurements oleh Eric J. Shearer, Vesta Afzali Gorooh, Phu Nguyen, Kuo‑Lin Hsu, Soroosh Sorooshian

    Diterbitkan 2022-10-01
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  8. 8
    Unveiling four decades of intensifying precipitation from tropical cyclones using satellite measurements

    Unveiling four decades of intensifying precipitation from tropical cyclones using satellite measurements oleh Eric J. Shearer, Vesta Afzali Gorooh, Phu Nguyen, Kuo-Lin Hsu, Soroosh Sorooshian

    Diterbitkan 2022-08-01
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  9. 9
    Spatiotemporal Variations of Precipitation over Iran Using the High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR Dataset

    Spatiotemporal Variations of Precipitation over Iran Using the High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR Dataset oleh Hamidreza Mosaffa, Mojtaba Sadeghi, Negin Hayatbini, Vesta Afzali Gorooh, Ata Akbari Asanjan, Phu Nguyen, Soroosh Sorooshian

    Diterbitkan 2020-05-01
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  10. 10
    A Model Tree Generator (MTG) Framework for Simulating Hydrologic Systems: Application to Reservoir Routing

    A Model Tree Generator (MTG) Framework for Simulating Hydrologic Systems: Application to Reservoir Routing oleh Matin Rahnamay Naeini, Tiantian Yang, Ahmad Tavakoly, Bita Analui, Amir AghaKouchak, Kuo-lin Hsu, Soroosh Sorooshian

    Diterbitkan 2020-08-01
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  11. 11
    Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries—PERSIANN-cGAN

    Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries—PERSIANN-cGAN oleh Negin Hayatbini, Bailey Kong, Kuo-lin Hsu, Phu Nguyen, Soroosh Sorooshian, Graeme Stephens, Charless Fowlkes, Ramakrishna Nemani

    Diterbitkan 2019-09-01
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  12. 12
    Bias Correction of Satellite-Based Precipitation Estimations Using Quantile Mapping Approach in Different Climate Regions of Iran

    Bias Correction of Satellite-Based Precipitation Estimations Using Quantile Mapping Approach in Different Climate Regions of Iran oleh Pari-Sima Katiraie-Boroujerdy, Matin Rahnamay Naeini, Ata Akbari Asanjan, Ali Chavoshian, Kuo-lin Hsu, Soroosh Sorooshian

    Diterbitkan 2020-07-01
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  13. 13
    Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS

    Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS oleh Vesta Afzali Gorooh, Subodh Kalia, Phu Nguyen, Kuo-lin Hsu, Soroosh Sorooshian, Sangram Ganguly, Ramakrishna R. Nemani

    Diterbitkan 2020-01-01
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  14. 14
    Discrepancies in changes in precipitation characteristics over the contiguous United States based on six daily gridded precipitation datasets

    Discrepancies in changes in precipitation characteristics over the contiguous United States based on six daily gridded precipitation datasets oleh Iman Mallakpour, Mojtaba Sadeghi, Hamidreza Mosaffa, Ata Akbari Asanjan, Mojtaba Sadegh, Phu Nguyen, Soroosh Sorooshian, Amir AghaKouchak

    Diterbitkan 2022-06-01
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  15. 15
    Correction to: Real-time national GPS networks: opportunities for atmospheric sensing

    Correction to: Real-time national GPS networks: opportunities for atmospheric sensing oleh Randolph H. Ware, David W. Fulker, Seth A. Stein, David N. Anderson, Susan K. Avery, Richard D. Clark, Kelvin K. Droegemeier, Joachim P. Kuettner, J. Minster, Soroosh Sorooshian

    Diterbitkan 2019-04-01
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