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  • Published Article: A Two-Stage Deep Neural Network Framework for Precipitation Estimation from Bispectral Satellite Information

This content will become publicly available on February 14, 2019

Title: A Two-Stage Deep Neural Network Framework for Precipitation Estimation from Bispectral Satellite Information

Authors:
 [1] ;  [1] ;  [2] ;  [1] ;  [1]
+ Show Author Affiliations
  1. Center for Hydrometeorology and Remote Sensing, and Department of Civil and Environmental Engineering, University of California, Irvine, Irvine, California
  2. Department of Computer Science, University of California, Irvine, Irvine, California
Publication Date:
Grant/Contract Number:
IA0000018
Type:
Published Article
Journal Name:
Journal of Hydrometeorology
Additional Journal Information:
Journal Name: Journal of Hydrometeorology Journal Volume: 19 Journal Issue: 2; Journal ID: ISSN 1525-755X
Publisher:
American Meteorological Society
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
OSTI Identifier:
1420620
Citation Formats
Tao, Yumeng, Hsu, Kuolin, Ihler, Alexander, Gao, Xiaogang, and Sorooshian, Soroosh. A Two-Stage Deep Neural Network Framework for Precipitation Estimation from Bispectral Satellite Information. United States: N. p., Web. doi:10.1175/JHM-D-17-0077.1.
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Tao, Yumeng, Hsu, Kuolin, Ihler, Alexander, Gao, Xiaogang, & Sorooshian, Soroosh. A Two-Stage Deep Neural Network Framework for Precipitation Estimation from Bispectral Satellite Information. United States. doi:10.1175/JHM-D-17-0077.1.
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Tao, Yumeng, Hsu, Kuolin, Ihler, Alexander, Gao, Xiaogang, and Sorooshian, Soroosh. 2018. "A Two-Stage Deep Neural Network Framework for Precipitation Estimation from Bispectral Satellite Information". United States. doi:10.1175/JHM-D-17-0077.1.
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@article{osti_1420620,
title = {A Two-Stage Deep Neural Network Framework for Precipitation Estimation from Bispectral Satellite Information},
author = {Tao, Yumeng and Hsu, Kuolin and Ihler, Alexander and Gao, Xiaogang and Sorooshian, Soroosh},
abstractNote = {},
doi = {10.1175/JHM-D-17-0077.1},
journal = {Journal of Hydrometeorology},
number = 2,
volume = 19,
place = {United States},
year = {2018},
month = {2}
}
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