Application of deep learning to estimate stratospheric gravity wave potential energyOA

作者：Yue Wu;Zheng Sheng;XinJie Zuo

作者单位：College of Meteorology and Oceanology,National University of Defense Technology,Changsha 410073,ChinaNorthwest Institute of Nuclear Technology,Xi'an 710024,ChinaCollege of Meteorology and Oceanology,National University of Defense Technology,Changsha 410073,China

中文关键词：deep learningstratospheric gravity wavepotential energy

英文关键词：deep learningstratospheric gravity wavepotential energy

刊名：《地球与行星物理（英文）》 2022 (1)

页码/页数：70-82,13

基金：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&nbspthe 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.

DOI：10.26464/epp2022002