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Advances in Precipitation Retrieval and Applications from Low-Earth-Orbiting Satellite Information

CITE Title : Advances in Precipitation Retrieval and Applications from Low-Earth-Orbiting Satellite Information Personal Author(s) : Afzali Gorooh, Vesta;Hsu, Kuolin;Ferraro, Ralph;Turk, Joe;Meng, Huan;Nguyen, Phu;Jimenez Arellano, Claudia;Kalluri, Satya;Sorooshian, Soroosh; Published Date : 2023 Source : Bulletin of the American Meteorological Society, 104(10), E1764-E1771 DOI : https://doi.org/10.1175/BAMS-D-23-0229.1 Journal Title : Bulletin of the American Meteorological Society Afzali Gorooh, Vesta et al. (2023). Advances in Precipitation Retrieval and Applications from Low-Earth-Orbiting Satellite Information. 104(10). https://doi.org/10.1175/BAMS-D-23-0229.1 Afzali Gorooh, Vesta et al. "Advances in Precipitation Retrieval and Applications from Low-Earth-Orbiting Satellite Information" 104, no. 10 (2023), https://doi.org/10.1175/BAMS-D-23-0229.1 Afzali Gorooh, Vesta et al. "Advances in Precipitation Retrieval and Applications from Low-Earth-Orbiting Satellite Information" vol. 104, no. 10, 2023, https://doi.org/10.1175/BAMS-D-23-0229.1 Export RIS Citation Information.

:

Afzali Gorooh, Vesta ;

Hsu, Kuolin

2023 | Bulletin of the American Meteorological Society, 104(10), E1764-E1771

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Scientists and stakeholders from precipitation sensor developers, remote sensing algorithm developers, and data users gathered to discuss the state of...
Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS

CITE Title : Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS Personal Author(s) : Afzali Gorooh, Vesta;Kalia, Subodh;Nguyen, Phu;Hsu, Kuo-lin;Sorooshian, Soroosh;Ganguly, Sangram;Nemani, Ramakrishna; Published Date : 2020 Source : Remote Sensing, 12(2), 316 DOI : https://doi.org/10.3390/rs12020316 Journal Title : Remote Sensing Afzali Gorooh, Vesta et al. (2020). Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS. 12(2). https://doi.org/10.3390/rs12020316 Afzali Gorooh, Vesta et al. "Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS" 12, no. 2 (2020), https://doi.org/10.3390/rs12020316 Afzali Gorooh, Vesta et al. "Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS" vol. 12, no. 2, 2020, https://doi.org/10.3390/rs12020316 Export RIS Citation Information.

:

Afzali Gorooh, Vesta

;

Kalia, Subodh

2020 | Remote Sensing, 12(2), 316

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Satellite remote sensing plays a pivotal role in characterizing hydrometeorological components including cloud types and their associated precipitatio...
Evaluation of PERSIANN-CDR Constructed Using GPCP V2.2 and V2.3 and A Comparison with TRMM 3B42 V7 and CPC Unified Gauge-Based Analysis in Global Scale

CITE Title : Evaluation of PERSIANN-CDR Constructed Using GPCP V2.2 and V2.3 and A Comparison with TRMM 3B42 V7 and CPC Unified Gauge-Based Analysis in Global Scale Personal Author(s) : Sadeghi, Mojtaba;Akbari Asanjan, Ata;Faridzad, Mohammad;Afzali Gorooh, Vesta;Nguyen, Phu;Hsu, Kuolin;Sorooshian, Soroosh;Braithwaite, Dan; Published Date : 2019 Source : Remote Sensing, 11(23), 2755 DOI : https://doi.org/10.3390/rs11232755 Journal Title : Remote Sensing Sadeghi, Mojtaba et al. (2019). Evaluation of PERSIANN-CDR Constructed Using GPCP V2.2 and V2.3 and A Comparison with TRMM 3B42 V7 and CPC Unified Gauge-Based Analysis in Global Scale. 11(23). https://doi.org/10.3390/rs11232755 Sadeghi, Mojtaba et al. "Evaluation of PERSIANN-CDR Constructed Using GPCP V2.2 and V2.3 and A Comparison with TRMM 3B42 V7 and CPC Unified Gauge-Based Analysis in Global Scale" 11, no. 23 (2019), https://doi.org/10.3390/rs11232755 Sadeghi, Mojtaba et al. "Evaluation of PERSIANN-CDR Constructed Using GPCP V2.2 and V2.3 and A Comparison with TRMM 3B42 V7 and CPC Unified Gauge-Based Analysis in Global Scale" vol. 11, no. 23, 2019, https://doi.org/10.3390/rs11232755 Export RIS Citation Information.

:

Sadeghi, Mojtaba ;

Akbari Asanjan, Ata

2019 | Remote Sensing, 11(23), 2755

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Providing reliable long-term global precipitation records at high spatial and temporal resolutions is crucial for climatological studies. Satellite-ba...
Spatiotemporal Variations of Precipitation over Iran Using the High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR Dataset

CITE Title : Spatiotemporal Variations of Precipitation over Iran Using the High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR Dataset Personal Author(s) : Mosaffa, Hamidreza;Sadeghi, Mojtaba;Hayatbini, Negin;Afzali Gorooh, Vesta;Akbari Asanjan, Ata;Nguyen, Phu;Sorooshian, Soroosh; Published Date : 2020 Source : Remote Sensing, 12(10), 1584 DOI : https://doi.org/10.3390/rs12101584 Journal Title : Remote Sensing Mosaffa, Hamidreza et al. (2020). Spatiotemporal Variations of Precipitation over Iran Using the High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR Dataset. 12(10). https://doi.org/10.3390/rs12101584 Mosaffa, Hamidreza et al. "Spatiotemporal Variations of Precipitation over Iran Using the High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR Dataset" 12, no. 10 (2020), https://doi.org/10.3390/rs12101584 Mosaffa, Hamidreza et al. "Spatiotemporal Variations of Precipitation over Iran Using the High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR Dataset" vol. 12, no. 10, 2020, https://doi.org/10.3390/rs12101584 Export RIS Citation Information.

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Mosaffa, Hamidreza ;

Sadeghi, Mojtaba

2020 | Remote Sensing, 12(10), 1584

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Spatiotemporal precipitation trend analysis provides valuable information for water management decision-making. Satellite-based precipitation products...
Integrating LEO and GEO Observations: Toward Optimal Summertime Satellite Precipitation Retrieval

CITE Title : Integrating LEO and GEO Observations: Toward Optimal Summertime Satellite Precipitation Retrieval Personal Author(s) : Afzali Gorooh, Vesta;Petković, Veljko;Arulraj, Malarvizhi;Nguyen, Phu;Hsu, Kuo-lin;Sorooshian, Soroosh;Ferraro, Ralph R.; Published Date : 2023 Source : Journal of Hydrometeorology, 24(11), 1939-1954 DOI : https://doi.org/10.1175/jhm-d-23-0006.1 Journal Title : Journal of Hydrometeorology Afzali Gorooh, Vesta et al. (2023). Integrating LEO and GEO Observations: Toward Optimal Summertime Satellite Precipitation Retrieval. 24(11). https://doi.org/10.1175/jhm-d-23-0006.1 Afzali Gorooh, Vesta et al. "Integrating LEO and GEO Observations: Toward Optimal Summertime Satellite Precipitation Retrieval" 24, no. 11 (2023), https://doi.org/10.1175/jhm-d-23-0006.1 Afzali Gorooh, Vesta et al. "Integrating LEO and GEO Observations: Toward Optimal Summertime Satellite Precipitation Retrieval" vol. 24, no. 11, 2023, https://doi.org/10.1175/jhm-d-23-0006.1 Export RIS Citation Information.

:

Afzali Gorooh, Vesta

;

Petković, Veljko

2023 | Journal of Hydrometeorology, 24(11), 1939-1954

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Reliable quantitative precipitation estimation with a rich spatiotemporal resolution is vital for understanding the Earth’s hydrological cycle. Prec...