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基于探空观测的CMA-RA资料在中国的适用性评估

樊丹丹 高亮书 曲颖慧 贺音

沙漠与绿洲气象2025,Vol.19Issue(2):73-83,11.
沙漠与绿洲气象2025,Vol.19Issue(2):73-83,11.DOI:10.12057/j.issn.1002-0799.2308.31003

基于探空观测的CMA-RA资料在中国的适用性评估

Applicability Evaluation of CMA-RA Data Based on Radiosonde Observation in China

樊丹丹 1高亮书 1曲颖慧 2贺音1

作者信息

  • 1. 陕西省气象信息中心,陕西 西安 710014||秦岭和黄土高原生态环境气象重点实验室,陕西 西安 710016
  • 2. 象山县气象局,浙江 宁波 315700
  • 折叠

摘要

Abstract

Using observation data of 125 radiosonde stations in China,comparing CMA-RA with ERA5,CFSv2,and MERRA-2 reanalysis data,the applicability of geopotential height,air temperature,relative humidity and wind speed in China of four types of reanalysis data were compared and evaluated from three aspects:overall effect,time series,and spatial distribution.The results showed that:(1)Reanalysis geopotential height data presents a negative bias generally.CMA-RA performs better than ERA5 in the lower-middle troposphere,while ERA5 performs better than CMA-RA in other isobaric surface,followed by CFSv2,and MERRA-2 performs relatively poorly.(2)Reanalysis air temperature data presents a negative bias generally.CMA-RA air temperature data performs best overall,and ERA5 is similar to CMA-RA,followed by MERRA-2 and CFSv2.(3)Reanalysis relative humidity data presents a positive bias generally,and MERRA-2 relative humidity data performs best overall,followed by ERA5.The spatial distribution of relative humidity data of CMA-RA is similar to that of CFSv2,which performs relatively well in the lower-middle troposphere but has a relatively significant positive bias in the upper-middle troposphere,and the bias in winter is higher than that in summer.(4)Reanalysis wind speed data presents a negative bias generally.CMA-RA wind speed data performs best overall,especially in the lower-middle troposphere,followed by ERA5,MERRA-2 performs worst,and the root mean square error of wind speed in winter half year is generally higher than that in summer half year for the four types of reanalysis data.The root mean square errors of temperature,relative humidity,and wind speed data of CMA-RA are relatively large between October 2019 and February 2020.Therefore,bias correction is needed before using to better improve data applicability.

关键词

CMA-RA/再分析资料/探空资料/适用性评估

Key words

CMA-RA/reanalysis data/radiosonde data/applicability evaluation

分类

大气科学

引用本文复制引用

樊丹丹,高亮书,曲颖慧,贺音..基于探空观测的CMA-RA资料在中国的适用性评估[J].沙漠与绿洲气象,2025,19(2):73-83,11.

基金项目

陕西省气象局秦岭和黄土高原生态环境气象重点实验室开放基金课题(2022Y-10) (2022Y-10)

陕西省重点研发计划一般项目(2022SF-425) (2022SF-425)

陕西省自然科学基础研究计划项目(2022JM-153) (2022JM-153)

沙漠与绿洲气象

1002-0799

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