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Application of deep learning to estimate stratospheric gravity wave potential energy

Yue Wu Zheng Sheng XinJie Zuo

地球与行星物理（英文）2022，Vol.6Issue(1)：70-82,13.

地球与行星物理（英文）2022，Vol.6Issue(1)：70-82,13.DOI:10.26464/epp2022002

Application of deep learning to estimate stratospheric gravity wave potential energy

Yue Wu ¹Zheng Sheng ²XinJie Zuo¹

作者信息

1. College of Meteorology and Oceanology,National University of Defense Technology,Changsha 410073,China
2. Northwest Institute of Nuclear Technology,Xi'an 710024,China
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摘要

关键词

deep learning/stratospheric gravity wave/potential energy

Key words

deep learning/stratospheric gravity wave/potential energy

引用本文复制引用

Yue Wu,Zheng Sheng,XinJie Zuo..Application of deep learning to estimate stratospheric gravity wave potential energy[J].地球与行星物理（英文）,2022,6(1):70-82,13.

基金项目

This study was supported by the"Western Light"Cross-Team Project of Chinese Academy of Sciences,Key Laboratory Cooper-ative Research Project.We would like to thank all the editors and&nbsp （）

the anonymous reviewers for their help in the development and improvement of this paper.The COSMIC RO data was down-loaded from https://cdaac-www.cosmic.ucar.edu/.The GMTED-2010 terrain data was downloaded from https://www.usgs.gov/core-science-systems/eros/coastal-changes-and-impacts/gmted2010.The ERA5 hourly data on pressure levels was down-loaded from https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-pressure-levels. （）

地球与行星物理（英文）

OACSCDEI

ISSN：2096-3955

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