Advancing Satellite Precipitation Retrievals With Data Driven Approaches: Is Black Box Model Explainable?-Reference-Cited by-同舟云学术

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Advancing Satellite Precipitation Retrievals With Data Driven Approaches: Is Black Box Model Explainable?

Published:2021-02 Issue:2 Volume:8 Page:
ISSN:2333-5084
Container-title:Earth and Space Science
language:en
Short-container-title:Earth Space Sci

Author:

Li Zhi¹^ORCID,Wen Yixin²³^ORCID,Schreier Mathias⁴,Behrangi Ali⁵^ORCID,Hong Yang¹,Lambrigtsen Bjorn⁴

Affiliation:

1. Hydrometeorology and Remote Sensing Laboratory School of Civil Engineering and Environmental Science University of Oklahoma Norman OK USA

2. NOAA National Severe Storm Laboratory Norman OK USA

3. Cooperative Institute for Mesoscale Meteorological Studies Norman OK USA

4. California Institute of Technology Jet Propulsion Laboratory Pasadena CA USA

5. Department of Hydrology and Atmospheric Sciences University of Arizona Tucson AZ USA

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Science (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020EA001423

Reference36 articles.

1. Intercomparison of Global Precipitation Products: The Third Precipitation Intercomparison Project (PIP–3)

2. PERSIANN-CDR: Daily Precipitation Climate Data Record from Multisatellite Observations for Hydrological and Climate Studies

3. Correction of Three-Dimensional Effects for Passive Microwave Remote Sensing of Convective Clouds

4. PERSIANN-MSA: A Precipitation Estimation Method from Satellite-Based Multispectral Analysis

5. A physical approach for a simultaneous retrieval of sounding, surface, hydrometeor, and cryospheric parameters from SNPP/ATMS

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