Articles | Volume 17, issue 8
https://doi.org/10.5194/essd-17-3987-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-3987-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
An upgraded high-precision gridded precipitation dataset for the Chinese mainland considering spatial autocorrelation and covariates
Jinlong Hu
State Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
State Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Jiajia Su
State Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Qi Zhang
State Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Jiaojiao Gou
State Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Department of Geographic Science, Faculty of Arts and Sciences, Beijing Normal University, Zhuhai 519087, China
Qiaohong Sun
State Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
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Total article views: 4,715 (including HTML, PDF, and XML)
Thereof 4,715 with geography defined
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Total article views: 3,361 (including HTML, PDF, and XML)
Thereof 3,361 with geography defined
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Cited
25 citations as recorded by crossref.
- Multi-spatial scale assessment and multi-dataset fusion of global terrestrial evapotranspiration datasets Y. Wu et al.
- Analysis of Extreme Precipitation Variation Characteristics in the Sichuan-Chongqing Region from 1960 to 2024 小. 梅
- Coupling strategies of snowmelt runoff model and machine learning in the Lhasa River Basin T. Wang et al.
- The impact of soil and water conservation configurations on soil organic carbon loss from meter-resolution imagery in the Loess Plateau, China W. Ge et al.
- The interactive effects of climate and land-use changes on soil water erosion across China under shared socioeconomic pathways Y. Xia et al.
- Simulating Vegetation Dynamics and Quantifying Uncertainties on the Tibetan Plateau Under Climate Scenarios H. Li et al.
- Extreme precipitation in the Yangtze River Basin: Analysis of lagged and asymmetric teleconnections Z. Li et al.
- Evaluation and error attribution of evapotranspiration products over the Haihe River Basin: Implications for irrigation scheduling and agricultural water management X. Ju & S. Chen
- The reactivated Huangci landslide at the Heifangtai terrace, Gansu Province, China, on December 10, 2025 Y. Yang et al.
- Water balance–based evaluation and attribution of multi-source evapotranspiration datasets in the Qinling–Daba Mountains, China Y. Tang et al.
- Quantifying hydrological acceleration: A process-based framework and its application in arid regions X. Hao et al.
- How does digital technology innovation drive synergistic reduction of pollution and carbon emissions? The U-shaped effect in China X. Zhao et al.
- Climate Trends and Attribution Analysis of Runoff Changes in the Songhua River Basin from 1980 to 2022 Based on the Budyko Hypothesis X. Wang et al.
- Spatiotemporal evolution characteristics of extreme precipitation indices in the Yangtze river delta region during 1961–2022 D. Gao et al.
- A machine-learning framework to improve GRACE/GRACE-FO terrestrial water storage anomaly in China H. Ren et al.
- Fusion and Analysis of Multi-Source Precipitation Data (2003–2021) in the Yangtze River Basin R. Sun et al.
- Response time and lag time of vegetation drought to meteorological, soil, and groundwater droughts: Non-stationary, linear and nonlinear perspectives C. Xie et al.
- Flood driving the migration of the prehistoric settlements in the Chengdu plain, southwest China D. Tang et al.
- Two key triggers and their mechanisms of the spring rainy season onset over southern China K. Zhu et al.
- A rapid Natech risk assessment framework for industrial enterprises in China: multi-hazard probability assessment and risk level calculation K. Jiang et al.
- Gridded precipitation and temperature products performance over Afghanistan: from simple bias correction to advanced data fusion M. Nasimi et al.
- Leaf fall witnessed by night-time light: A first attempt to detect urban leaf fall dates using satellite nighttime light data L. Wang et al.
- Transferring soil moisture estimation skills to evapotranspiration and streamflow modeling through remote sensing data assimilation H. Feng et al.
- Mapping 50 Years of rainfall in Greater Kuala Lumpur: Developing a 1-km dataset for tropical urban climates N. Miniandi et al.
- Multi-Decadal Remote Sensing of Crop Planting Structure and Surface Water Dynamics in the Ningxia Plain: Drivers and Scale-Dependent Responses C. Jiang & X. Song
25 citations as recorded by crossref.
- Multi-spatial scale assessment and multi-dataset fusion of global terrestrial evapotranspiration datasets Y. Wu et al.
- Analysis of Extreme Precipitation Variation Characteristics in the Sichuan-Chongqing Region from 1960 to 2024 小. 梅
- Coupling strategies of snowmelt runoff model and machine learning in the Lhasa River Basin T. Wang et al.
- The impact of soil and water conservation configurations on soil organic carbon loss from meter-resolution imagery in the Loess Plateau, China W. Ge et al.
- The interactive effects of climate and land-use changes on soil water erosion across China under shared socioeconomic pathways Y. Xia et al.
- Simulating Vegetation Dynamics and Quantifying Uncertainties on the Tibetan Plateau Under Climate Scenarios H. Li et al.
- Extreme precipitation in the Yangtze River Basin: Analysis of lagged and asymmetric teleconnections Z. Li et al.
- Evaluation and error attribution of evapotranspiration products over the Haihe River Basin: Implications for irrigation scheduling and agricultural water management X. Ju & S. Chen
- The reactivated Huangci landslide at the Heifangtai terrace, Gansu Province, China, on December 10, 2025 Y. Yang et al.
- Water balance–based evaluation and attribution of multi-source evapotranspiration datasets in the Qinling–Daba Mountains, China Y. Tang et al.
- Quantifying hydrological acceleration: A process-based framework and its application in arid regions X. Hao et al.
- How does digital technology innovation drive synergistic reduction of pollution and carbon emissions? The U-shaped effect in China X. Zhao et al.
- Climate Trends and Attribution Analysis of Runoff Changes in the Songhua River Basin from 1980 to 2022 Based on the Budyko Hypothesis X. Wang et al.
- Spatiotemporal evolution characteristics of extreme precipitation indices in the Yangtze river delta region during 1961–2022 D. Gao et al.
- A machine-learning framework to improve GRACE/GRACE-FO terrestrial water storage anomaly in China H. Ren et al.
- Fusion and Analysis of Multi-Source Precipitation Data (2003–2021) in the Yangtze River Basin R. Sun et al.
- Response time and lag time of vegetation drought to meteorological, soil, and groundwater droughts: Non-stationary, linear and nonlinear perspectives C. Xie et al.
- Flood driving the migration of the prehistoric settlements in the Chengdu plain, southwest China D. Tang et al.
- Two key triggers and their mechanisms of the spring rainy season onset over southern China K. Zhu et al.
- A rapid Natech risk assessment framework for industrial enterprises in China: multi-hazard probability assessment and risk level calculation K. Jiang et al.
- Gridded precipitation and temperature products performance over Afghanistan: from simple bias correction to advanced data fusion M. Nasimi et al.
- Leaf fall witnessed by night-time light: A first attempt to detect urban leaf fall dates using satellite nighttime light data L. Wang et al.
- Transferring soil moisture estimation skills to evapotranspiration and streamflow modeling through remote sensing data assimilation H. Feng et al.
- Mapping 50 Years of rainfall in Greater Kuala Lumpur: Developing a 1-km dataset for tropical urban climates N. Miniandi et al.
- Multi-Decadal Remote Sensing of Crop Planting Structure and Surface Water Dynamics in the Ningxia Plain: Drivers and Scale-Dependent Responses C. Jiang & X. Song
Saved (final revised paper)
Latest update: 24 May 2026
Short summary
We developed a high-precision daily precipitation dataset for the Chinese mainland called CHM_PRE V2. Using data from 3746 rain gauges, 11 precipitation-related variables, and advanced machine learning methods, we created a daily precipitation dataset spanning 1960–2023 with unprecedented accuracy. Compared to existing datasets, it better captures rainfall events while reducing false alarms. This work provides a reliable tool for studying water resources, climate change, and disaster management.
We developed a high-precision daily precipitation dataset for the Chinese mainland called...
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