Calculation of Ice Cloud Bulk Scattering Properties Based on Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Calculation of Ice Cloud Bulk Scattering Properties Based on Deep Reinforcement Learning

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Chen Ke¹^ORCID,Han Qingzhu²,Meng Fujia²^ORCID

Affiliation:

1. Science and Technology on Multi-Spectral Information Processing Laboratory, School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China

2. School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8859/10365397/10663396.pdf?arnumber=10663396

Reference14 articles.

1. Quantitative estimation of the influence factors on snow/ice albedo;Guo;Sci. Cold Arid Regions,2020

2. A concept for a satellite mission to measure cloud ice water path, ice particle size, and cloud altitude

3. Quantifying the effects of mixing state on aerosol optical properties

4. A new parameterization for ice cloud optical properties used in BCC-RAD and its radiative impact

5. Improved scattering radiative transfer for frozen hydrometeors at microwave frequencies

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