Articles | Volume 14, issue 12
https://doi.org/10.5194/essd-14-5267-2022
© Author(s) 2022. 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-14-5267-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A 1 km daily soil moisture dataset over China using in situ measurement and machine learning
Qingliang Li
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Guangdong Province Key Laboratory for Climate Change and Natural Disaster
Studies, School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou
510275, China
College of Computer Science and Technology, Changchun Normal
University, Changchun 130032, China
Gaosong Shi
College of Computer Science and Technology, Changchun Normal
University, Changchun 130032, China
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Guangdong Province Key Laboratory for Climate Change and Natural Disaster
Studies, School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou
510275, China
Vahid Nourani
Center of Excellence in Hydroinformatics and Faculty of Civil
Engineering, University of Tabriz, Tabriz 51368, Iran
Faculty of Civil and Environmental Engineering, Near East University, Near East Boulevard, Nicosia 99628, Turkey
Jianduo Li
State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing 10081, China
Lu Li
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Guangdong Province Key Laboratory for Climate Change and Natural Disaster
Studies, School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou
510275, China
Feini Huang
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Guangdong Province Key Laboratory for Climate Change and Natural Disaster
Studies, School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou
510275, China
Ye Zhang
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Guangdong Province Key Laboratory for Climate Change and Natural Disaster
Studies, School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou
510275, China
Chunyan Wang
College of Computer Science and Technology, Changchun Normal
University, Changchun 130032, China
Dagang Wang
School of Geography and Planning, Sun Yat-sen University, Guangzhou
510275, China
Jianxiu Qiu
School of Geography and Planning, Sun Yat-sen University, Guangzhou
510275, China
Xingjie Lu
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Guangdong Province Key Laboratory for Climate Change and Natural Disaster
Studies, School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou
510275, China
Yongjiu Dai
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Guangdong Province Key Laboratory for Climate Change and Natural Disaster
Studies, School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou
510275, China
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26 citations as recorded by crossref.
- Dynamic Vegetation Responses to Climate and Land Use Changes over the Inner Mongolia Reach of the Yellow River Basin, China T. Liu et al. 10.3390/rs15143531
- Spatial and temporal variations of ecosystem water use efficiency and its response to soil moisture drought in a water-limited watershed of northern China T. Zhang et al. 10.1016/j.jenvman.2024.120251
- A long-term, high-accuracy and seamless 1km soil moisture dataset over the Qinghai-Tibet Plateau during 2001–2020 based on a two-step downscaling method Y. Shangguan et al. 10.1080/15481603.2023.2290337
- Soil Salinity Mapping of Croplands in Arid Areas Based on the Soil–Land Inference Model S. Gao et al. 10.3390/agronomy13123074
- Historical agricultural drought patterns and drought-related factors over western China D. Wu et al. 10.1080/02626667.2023.2197116
- A Comparison of Different Machine Learning Methods to Reconstruct Daily Evapotranspiration Time Series Estimated by Thermal–Infrared Remote Sensing G. Zhao et al. 10.3390/rs16030509
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- Spatio-Temporal Characteristics and Driving Mechanism of Alpine Peatland InSAR Surface Deformation—A Case Study of Maduo County, China Y. Liu et al. 10.1109/JSTARS.2024.3359712
- Spatial and Temporal Characteristics of Drought Events in Southwest China over the Past 120 Years Y. Wang et al. 10.3390/rs15123008
- Response of blue-green water to climate and vegetation changes in the water source region of China's South-North water Diversion Project X. Li et al. 10.1016/j.jhydrol.2024.131061
- Substantial Reduction in Vegetation Photosynthesis Capacity during Compound Droughts in the Three-River Headwaters Region, China J. Miao et al. 10.3390/rs15204943
- Leveraging multisource data for accurate agricultural drought monitoring: A hybrid deep learning model X. Xiao et al. 10.1016/j.agwat.2024.108692
- Comprehensive validation of seven root zone soil moisture products at 1153 ground sites across China J. Tian & Y. Zhang 10.1080/17538947.2023.2261902
- A 21-year dataset (2000–2020) of gap-free global daily surface soil moisture at 1-km grid resolution C. Zheng et al. 10.1038/s41597-023-01991-w
- The important role of reliable land surface model simulation in high-resolution multi-source soil moisture data fusion by machine learning J. Zeng et al. 10.1016/j.jhydrol.2024.130700
- Decoupled driving forces of variabilities of transpiration in Chinese subtropical vegetation based on remote sensing data J. Jin et al. 10.1007/s11442-023-2170-2
- A Fast Generative Adversarial Network Combined With Transformer for Downscaling GRACE Terrestrial Water Storage Data in Southwestern China S. Gu et al. 10.1109/TGRS.2024.3349548
- Increased background precipitation masks the moisture deficit caused by crop greening in Northeast China L. Yu et al. 10.1016/j.jhydrol.2023.129857
- Synergistic changes in precipitation and soil water use efficiency and their driving mechanisms of terrestrial ecosystems in China C. Li & S. Zhang 10.1016/j.jclepro.2023.139159
- Spatiotemporal pattern of vegetation water use efficiency between 2003 and 2017 and its coupling relationship with artificial carbon sequestration in the karst region of Southwestern China L. Wang et al. 10.1016/j.ecolind.2023.110566
- Soil Emissions of Reactive Nitrogen Accelerate Summertime Surface Ozone Increases in the North China Plain W. Tan et al. 10.1021/acs.est.3c01823
- Soil Moisture Dominates the Forest Productivity Decline During the 2022 China Compound Drought‐Heatwave Event D. Zhao et al. 10.1029/2023GL104539
- Comparison of plant diversity-carbon storage relationships along altitudinal gradients in temperate forests and shrublands S. Lu et al. 10.3389/fpls.2023.1120050
- Spatial variation in stability of wheat (Triticum aestivum L.) straw phytolith-occluded carbon in China E. Zhao et al. 10.1016/j.scitotenv.2024.170909
- High-Resolution Quantitative Retrieval of Soil Moisture Based on Multisource Data Fusion with Random Forests: A Case Study in the Zoige Region of the Tibetan Plateau Y. Ma et al. 10.3390/rs15061531
- Identification of the dominant factors and altitudinal variation in water use efficiency in the Qinling–Daba Mountains T. Zhao et al. 10.1016/j.ecolind.2024.111626
26 citations as recorded by crossref.
- Dynamic Vegetation Responses to Climate and Land Use Changes over the Inner Mongolia Reach of the Yellow River Basin, China T. Liu et al. 10.3390/rs15143531
- Spatial and temporal variations of ecosystem water use efficiency and its response to soil moisture drought in a water-limited watershed of northern China T. Zhang et al. 10.1016/j.jenvman.2024.120251
- A long-term, high-accuracy and seamless 1km soil moisture dataset over the Qinghai-Tibet Plateau during 2001–2020 based on a two-step downscaling method Y. Shangguan et al. 10.1080/15481603.2023.2290337
- Soil Salinity Mapping of Croplands in Arid Areas Based on the Soil–Land Inference Model S. Gao et al. 10.3390/agronomy13123074
- Historical agricultural drought patterns and drought-related factors over western China D. Wu et al. 10.1080/02626667.2023.2197116
- A Comparison of Different Machine Learning Methods to Reconstruct Daily Evapotranspiration Time Series Estimated by Thermal–Infrared Remote Sensing G. Zhao et al. 10.3390/rs16030509
- Spatiotemporal Analysis of Soil Moisture Variability and Its Driving Factor D. Yin et al. 10.3390/rs15245768
- Spatio-Temporal Characteristics and Driving Mechanism of Alpine Peatland InSAR Surface Deformation—A Case Study of Maduo County, China Y. Liu et al. 10.1109/JSTARS.2024.3359712
- Spatial and Temporal Characteristics of Drought Events in Southwest China over the Past 120 Years Y. Wang et al. 10.3390/rs15123008
- Response of blue-green water to climate and vegetation changes in the water source region of China's South-North water Diversion Project X. Li et al. 10.1016/j.jhydrol.2024.131061
- Substantial Reduction in Vegetation Photosynthesis Capacity during Compound Droughts in the Three-River Headwaters Region, China J. Miao et al. 10.3390/rs15204943
- Leveraging multisource data for accurate agricultural drought monitoring: A hybrid deep learning model X. Xiao et al. 10.1016/j.agwat.2024.108692
- Comprehensive validation of seven root zone soil moisture products at 1153 ground sites across China J. Tian & Y. Zhang 10.1080/17538947.2023.2261902
- A 21-year dataset (2000–2020) of gap-free global daily surface soil moisture at 1-km grid resolution C. Zheng et al. 10.1038/s41597-023-01991-w
- The important role of reliable land surface model simulation in high-resolution multi-source soil moisture data fusion by machine learning J. Zeng et al. 10.1016/j.jhydrol.2024.130700
- Decoupled driving forces of variabilities of transpiration in Chinese subtropical vegetation based on remote sensing data J. Jin et al. 10.1007/s11442-023-2170-2
- A Fast Generative Adversarial Network Combined With Transformer for Downscaling GRACE Terrestrial Water Storage Data in Southwestern China S. Gu et al. 10.1109/TGRS.2024.3349548
- Increased background precipitation masks the moisture deficit caused by crop greening in Northeast China L. Yu et al. 10.1016/j.jhydrol.2023.129857
- Synergistic changes in precipitation and soil water use efficiency and their driving mechanisms of terrestrial ecosystems in China C. Li & S. Zhang 10.1016/j.jclepro.2023.139159
- Spatiotemporal pattern of vegetation water use efficiency between 2003 and 2017 and its coupling relationship with artificial carbon sequestration in the karst region of Southwestern China L. Wang et al. 10.1016/j.ecolind.2023.110566
- Soil Emissions of Reactive Nitrogen Accelerate Summertime Surface Ozone Increases in the North China Plain W. Tan et al. 10.1021/acs.est.3c01823
- Soil Moisture Dominates the Forest Productivity Decline During the 2022 China Compound Drought‐Heatwave Event D. Zhao et al. 10.1029/2023GL104539
- Comparison of plant diversity-carbon storage relationships along altitudinal gradients in temperate forests and shrublands S. Lu et al. 10.3389/fpls.2023.1120050
- Spatial variation in stability of wheat (Triticum aestivum L.) straw phytolith-occluded carbon in China E. Zhao et al. 10.1016/j.scitotenv.2024.170909
- High-Resolution Quantitative Retrieval of Soil Moisture Based on Multisource Data Fusion with Random Forests: A Case Study in the Zoige Region of the Tibetan Plateau Y. Ma et al. 10.3390/rs15061531
- Identification of the dominant factors and altitudinal variation in water use efficiency in the Qinling–Daba Mountains T. Zhao et al. 10.1016/j.ecolind.2024.111626
Latest update: 28 Mar 2024
Short summary
SMCI1.0 is a 1 km resolution dataset of daily soil moisture over China for 2000–2020 derived through machine learning trained with in situ measurements of 1789 stations, meteorological forcings, and land surface variables. It contains 10 soil layers with 10 cm intervals up to 100 cm deep. Evaluated by in situ data, the error (ubRMSE) ranges from 0.045 to 0.051, and the correlation (R) range is 0.866-0.893. Compared with ERA5-Land, SMAP-L4, and SoMo.ml, SIMI1.0 has higher accuracy and resolution.
SMCI1.0 is a 1 km resolution dataset of daily soil moisture over China for 2000–2020 derived...
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