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广西地区MERRA-2加权平均温度模型

谢劭峰 张继洪 黄良珂 张亚博 唐友兵

桂林理工大学学报2023,Vol.43Issue(4):646-652,7.
桂林理工大学学报2023,Vol.43Issue(4):646-652,7.DOI:10.3969/j.issn.1674-9057.2023.04.013

广西地区MERRA-2加权平均温度模型

MERRA-2 weighted mean temperature model in Guangxi

谢劭峰 1张继洪 2黄良珂 1张亚博 2唐友兵2

作者信息

  • 1. 桂林理工大学 测绘地理信息学院, 广西 桂林 541006||桂林理工大学 广西空间信息与测绘重点实验室, 广西 桂林 541006
  • 2. 桂林理工大学 测绘地理信息学院, 广西 桂林 541006
  • 折叠

摘要

Abstract

In view of the characteristics of Guangxi,such as the tropical ocean to the south,Yunnan-Guizhou Plateau to the west,and large topographic fluctuations,and the temporal variation characteristics of the tempera-ture decline rate in the vertical direction of the grid height,the weighted average temperature model and tempera-ture decline rate model at each grid height were established by analyzing the weighted average temperature(Tm)at the grid height of the MERRA-2 reanalysis data grid from 2014 to 2016.Furthermore,a MERRA-2 weighted aver-age temperature model(GXTm)was established for Guangxi region.Using the data calculated from radiosonde sta-tions in 2017 as reference values,the accuracy of GXTm model was tested and compared with Bevis model,East-ern China model,Guangxi meteorological parameter model,GPT2w-1 model and GPT2w-5 model.The results show that the mean deviation(Bias)and root mean square error(RMSE)of the GXTm model are 0.26 and 2.51 K,respectively.RMSE of the GXTm model is improved by 32%,34%,17%,and 46%,which higher than that of the Bevis model,the Eastern China model,the GPT2w-1 model,and the GPT2w-5 model.But it is equivalent to the accuracy of the Guangxi meteorological parameter model.

关键词

GXTm模型/温度递减率/MERRA-2/加权平均温度/广西

Key words

GXTm model/temperature lapse rate/MERRA-2/weighted mean temperature/Guangxi

分类

天文与地球科学

引用本文复制引用

谢劭峰,张继洪,黄良珂,张亚博,唐友兵..广西地区MERRA-2加权平均温度模型[J].桂林理工大学学报,2023,43(4):646-652,7.

基金项目

国家自然科学基金项目(41864002) (41864002)

广西自然科学基金项目(2018GXNSFAA281182) (2018GXNSFAA281182)

桂林理工大学学报

OA北大核心CSTPCD

1674-9057

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