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

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

Abstract Satellite‐based precipitation retrieval is an essential and long‐standing scientific problem. With an increase of observational satellite data, the advances of data‐driven approaches such as machine learning (ML)/deep learning (DL) are favored to deal with large data sets and potentially im...

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Bibliografische gegevens
Hoofdauteurs: Zhi Li, Yixin Wen, Mathias Schreier, Ali Behrangi, Yang Hong, Bjorn Lambrigtsen
Formaat: Artikel
Taal:English
Gepubliceerd in: American Geophysical Union (AGU) 2021-02-01
Reeks:Earth and Space Science
Onderwerpen:
deep learning
interpretable machine learning
precipitation estimation
Online toegang:https://doi.org/10.1029/2020EA001423

Internet

https://doi.org/10.1029/2020EA001423

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