Homogenized monthly and daily temperature and precipitation time series in China during 1960-2021
收藏DataCite Commons2025-04-27 更新2025-05-18 收录
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https://www.scidb.cn/detail?dataSetId=8aa5c5fcfd8446a999e7140212e98c55
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资源简介:
Based on the Multiple Analysis of Series for Homogenization (MASH) and CLIMATOL methods, we firstly detected, estimated, and adjusted inhomogeneities in daily mean temperature, maximum temperature, minimum temperature and precipitation at 366 stations in China from 1960 to 2021, then established homogenized daily temperature and precipitation data sets. All datasets are completed by cooperation between Greece (Laboratory of Atmospheric Physics, Department of Physics, University of Patras) and China (Key Laboratory of Regional Climate-Environment in Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences).The information are as following:Homogenized monthly and daily temperature and precipitation time series in China during 1960-2021.rar (118MB). There is a .xlsx file named Information at 366 stations in China, including four columns (No. Station No. Longitude, and Latitude) Four folders are named RR, TG, TN, and TX. In each folder there are two subfolders named daily and monthly. In each subfolder, there are 366 .csv files named with station No. In each .csv file, there are 2 columns (date and records). In updated version, the climate change indices dataset is deleted, because I will submit it again to SDB as an another dataset. In this version, the monthly and daily temperature and precipitation time series dataset is updated to 2021.
提供机构:
Science Data Bank
创建时间:
2022-05-12
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集提供了1960年至2021年中国366个气象站点的均一化月度和日度温度(平均、最高、最低)及降水时间序列数据。数据经过MASH和CLIMATOL方法的均一化处理,以纠正非均一性,并以.csv文件格式组织,便于分析。数据集由中希科研机构合作完成,并已更新至2021年。
以上内容由遇见数据集搜集并总结生成



