ChinaMet: A High-resolution Multi-element Meteorological Driving Dataset for China via Multi-source Data Fusion

English name

CSTR

CSTR:11738.11.NCDC.NIEER.DB6722.2025

DOI

10.12072/ncdc.nieer.db6722.2025

Share mode

Category

Meteorology

Contributors

ZHANG Ling , HU yingyi , ZHAO Yanbo , Che Tao

Datasets description

ChinaMet is a high-resolution (1 km) and long-term (1980–2024) meteorological driving dataset for China, developed by fusing multi-source remote sensing data, reanalysis products, and observational data from over 2,000 meteorological stations. The dataset includes eight meteorological variables: precipitation (pre), mean 2-meter air temperature (tmpmean), maximum temperature (tmpmax), minimum temperature (tmpmin), 10-meter wind speed (wind), relative humidity (rhu), surface pressure (pres), and potential evapotranspiration (pet). The data span 1980–2024 with spatial resolutions of 0.1° and 0.01°, and temporal resolutions of annual/monthly/daily. Each file is named as ChinaMet_%S_%V_%T.nc”, ‘%S’ represents the data space resolution, ‘%V’ represents the variable name, and ‘%T’ represents the time, e.g., 1982_01_01.

Base information

collect time	1980/01/01 - 2024/12/31
collect place	China
data size	3.5 TiB
data format	nc4
Data time resolution	year
Coordinate system	WGS84

Data source description

Meteorological station observations were sourced from the China Meteorological Administration (CMA). Fused remote sensing precipitation products include IMERG, SM2RAIN-ASCAT, and CMORPH. Reanalysis data utilized the ERA5-Land product from the European Centre for Medium-Range Weather Forecasts (ECMWF). Additional remote sensing inputs include AVHRR NDVI and MODIS land surface temperature data.

Data processing method

The dataset was developed using knowledge-guided machine learning combined with climate-field-assisted spatial downscaling techniques. Potential evapotranspiration (PET) is provided in two versions: petHG (estimated via the Hargreaves method) and petPM (derived using the Penman-Monteith method).

Data quality description

The temporal and spatial resolution and accuracy of the data are better than those of similar products.

Project information

#	number	name	type
1	42271286	Research on inversion and reconstruction of irrigation information in China supported by multi-source data	National Natural Science Foundation of China
2	2023454	2023454	other
3	23ZDKA0004	Comparative Study on Water and Ecological Changes in Inland River Basins	Major Science and Technology Projects in Gansu Province

Citations and annotations

In order to protect the rights and interests of the platform's scientific and technological resources, expand the services of the platform center, and enhance the application potential of scientific and technological resources, resource users are requested to mark and quote the research results (including published papers, treatises, data products, unpublished research reports, data products, etc.) generated by the use of resources in the following manner.

For the achievements published in English, please refer to the following specifications： The dataset is provided by National Cryosphere Desert Data Center. (https://www.ncdc.ac.cn).

Data reference

ZHANG Ling, HU yingyi, ZHAO Yanbo, Che Tao. ChinaMet: A High-resolution Multi-element Meteorological Driving Dataset for China via Multi-source Data Fusion. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2025. https://cstr.cn/CSTR:11738.11.NCDC.NIEER.DB6722.2025.
ZHANG Ling, HU yingyi, ZHAO Yanbo, Che Tao. ChinaMet: A High-resolution Multi-element Meteorological Driving Dataset for China via Multi-source Data Fusion. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2025. https://www.doi.org/10.12072/ncdc.nieer.db6722.2025.

EndnoteEN BibtexEN RISEN

Papers to be cited

Zhang Ling, Li Xin, Zheng Donghai, Zhang Kun, Ma Qimin, Zhao Yanbo, Ge Yingchun. Merging multiple satellite-based precipitation products and gauge observations using a novel double machine learning approach[J]. Journal of Hydrology, 2021, 594: 125969.

Reference format： Endnote Bibtex RIS
Hu Yingyi, Zhang Ling. Added value of merging techniques in precipitation estimates relative to gauge-interpolation algorithms of varying complexity[J/OL]. Journal of Hydrology, 2024, 645: 132214. DOI: https://doi.org/10.1016/j.jhydrol.2024.132214.

Reference format： Endnote Bibtex RIS

license agreement

This work is licensed under CC BY 4.0 (Creative Commons Attribution 4.0 International License).

Relevant data
File list

#	Dataset title
1	One kilometer land cover map of China based on multi-source data fusion method
2	A High-Resolution daily CO₂ Dataset for China (2016–2020)
3	Frozen soil map of China (2000)
4	Daily hourly basic meteorological data set of automatic weather stations at Shapotou Desert Research and Experiment Station, Chinese Academy of Sciences from 1998 to 2023
5	A long time-series 250m resolution monthly NDVI dataset for the Tibetan Plateau based on temporal and spatial data fusion (1981-2020)
6	CIWW1km:China High-Resolution Monthly Irrigation Water Withdrawal Dataset (2000–2020)
7	A comprehensive China soil dataset of high-resolution microstructure, topographical characteristics and physical properties
8	A High-resolution Air Quality Reanalysis Dataset over China (CAQRA)
9	25m resolution hourly observation dataset of meteorological elements in the Zhangjiakou Winter Olympics competition area (January March 2021)
10	High spatial and temporal resolution surface meteorological element driven dataset in China (1979-2015)

#	title	file size
1	CIrrMap250
2	ChinaMet

#	category	title	author	year
1	paper	Study on cracking sensitivity of cement materials in dry environment with large temperature difference	Xiong Genyi, Wang Huaiyi, Yang Guiquan, Li Shuangxi, Cheng Ningning	2025
2	paper	Hydrochemical characteristics and influencing factors of lakes in Hoh Xil area	Li Xiandi, Xu Jianxin, Han Wenhua, Han Jibin	2025
3	paper	Analysis of network topology and nonlinear driving thresholds for landscape ecological risks in five major river source areas on the Qinghai-Tibet Plateau	Wang Chengwu, Zeng Jianxiong, Wang Zhoufeng, Liu Jianlan, Wang Siyuan
4	paper	Spatio-temporal changes of water and carbon variables and influencing factors in Qinghai Lake Basin in recent 25 years	Yan Pengxu, Zhang Lihua, Zeng Fanxing, Bai Xiaohui, Ye Yang, Cao Yijie	2026
5	paper	Ecosystem services trade-off and coordination mechanisms and spatial governance paths in the Minjiang River Basin	Zou Yafeng, Li Meng, Shen Yue, Zhao Enhui, Luo Feng, Wu Pinqi	2026
6	paper	Influence and prediction of meteorological factors on rat density and flea index in plague focus in Xilin Gol League	Yan Wei, Su Riga, Lai Dongfang, Li Fan, Li Hao, Zhao Wei, Tian Wufei, Shao Kuidong, Ju Cheng	2026
7	paper	Temporal and spatial variability of soil organic carbon density and its driving factors in Liangshan Yi Autonomous Prefecture, Sichuan Province in the past 40 years	Wang Xinxiu, Yang Liu, Chen Yulan, Li Zhihong, Wang Yong, Zhang Yungui, Liu Qingli, Liu Dongyang, Wu Mengchuan, He Kunde, Li Tie, Chen Hanwei, Wang Xiancai
8	paper	Resistance and resilience of vegetation to typical drought in the core karst distribution area of southwest China	Jing Juanli, Lan Xiaoyu, Wang Yongfeng, Qin Shiping, Guo Wenyan
9	paper	Joint GNSS and GRACE/GFO data to retrieve land water reserve changes in the Yellow River Basin from 2011 to 2023	Lu Tiantien, Chen Yulong, Sun Xiwen, Gong Xunqiang, Lu Kaiyun, Jin Zhenwu, Yang Houming	2026

add comment

Scan and browse on mobile

How to get the data

登录后下载

publications

Merging multiple satellite-based precipitation products and gauge observations using a novel double machine learning approach

Added value of merging techniques in precipitation estimates relative to gauge-interpolation algorithms of varying complexity

Theme:
Relative humidity ground pressure evaporation multi-source data fusion
Subject:
Atmospheric Science
Time:
1980-2024
Place:
China

east

west

south

north

Export metadata

Contact information

data contributors:: ZHANG Ling , HU yingyi , ZHAO Yanbo , Che Tao
metadata author:: ZHANG Ling
data manager:: ZHANG Ling

Platform Service information

contacts:: Li Hongxing
phone:: 0931-4967592
mailbox:: ncdc@lzb.ac.cn