Articles | Volume 14, issue 12
https://doi.org/10.5194/essd-14-5513-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/essd-14-5513-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A dataset of 10-year regional-scale soil moisture and soil temperature measurements at multiple depths on the Tibetan Plateau
Pei Zhang
Faculty of Geo-Information Science and Earth Observation (ITC),
University of Twente, Enschede 7514AE, the Netherlands
State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources, Institute of Tibetan Plateau Research, Chinese Academy of
Sciences, Beijing 100101, China
State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources, Institute of Tibetan Plateau Research, Chinese Academy of
Sciences, Beijing 100101, China
Rogier van der Velde
Faculty of Geo-Information Science and Earth Observation (ITC),
University of Twente, Enschede 7514AE, the Netherlands
Jun Wen
College of Atmospheric Sciences, Chengdu University of Information
Technology, Chengdu 610225, China
Yaoming Ma
State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources, Institute of Tibetan Plateau Research, Chinese Academy of
Sciences, Beijing 100101, China
Yijian Zeng
Faculty of Geo-Information Science and Earth Observation (ITC),
University of Twente, Enschede 7514AE, the Netherlands
Xin Wang
Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Zuoliang Wang
Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Jiali Chen
State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources, Institute of Tibetan Plateau Research, Chinese Academy of
Sciences, Beijing 100101, China
College of Earth and Environmental Sciences, Lanzhou University,
Lanzhou 730000, China
Zhongbo Su
CORRESPONDING AUTHOR
Faculty of Geo-Information Science and Earth Observation (ITC),
University of Twente, Enschede 7514AE, the Netherlands
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Cited
10 citations as recorded by crossref.
- Ensemble of optimised machine learning algorithms for predicting surface soil moisture content at a global scale Q. Han et al. 10.5194/gmd-16-5825-2023
- Environmental factors controlling soil warming and wetting during 2000–2020 in permafrost and non-permafrost regions across the Qinghai–Tibet Plateau G. Yin et al. 10.1016/j.accre.2024.01.004
- A Soil Moisture Retrieval Method for Reducing Topographic Effect: A Case Study on the Qinghai–Tibetan Plateau With SMOS Data Y. Bai et al. 10.1109/JSTARS.2023.3264572
- The Characterization of the Vertical Distribution of Surface Soil Moisture Using ISMN Multilayer In Situ Data and Their Comparison with SMOS and SMAP Soil Moisture Products N. Yang et al. 10.3390/rs15163930
- Soil Moisture Estimation by Assimilating In‐Situ and SMAP Surface Soil Moisture Using Unscented Weighted Ensemble Kalman Filter X. Fu et al. 10.1029/2023WR034506
- Improved Performance of CLM5.0 Model in Frozen Soil Simulation Over Tibetan Plateau by Implementing the Vegetation Emissivity and Gravel Hydrothermal Schemes J. Luo et al. 10.1029/2022JD038021
- Global spatiotemporal trend of satellite-based soil moisture and its influencing factors in the early 21st century C. Peng et al. 10.1016/j.rse.2023.113569
- Influences of Using Different Satellite Soil Moisture Products on SM2RAIN for Rainfall Estimation Across the Tibetan Plateau L. Miao et al. 10.1109/JSTARS.2023.3296455
- Recent Progress on Modeling Land Emission and Retrieving Soil Moisture on the Tibetan Plateau Based on L-Band Passive Microwave Remote Sensing X. Wu & J. Wen 10.3390/rs14174191
- A dataset of 10-year regional-scale soil moisture and soil temperature measurements at multiple depths on the Tibetan Plateau P. Zhang et al. 10.5194/essd-14-5513-2022
8 citations as recorded by crossref.
- Ensemble of optimised machine learning algorithms for predicting surface soil moisture content at a global scale Q. Han et al. 10.5194/gmd-16-5825-2023
- Environmental factors controlling soil warming and wetting during 2000–2020 in permafrost and non-permafrost regions across the Qinghai–Tibet Plateau G. Yin et al. 10.1016/j.accre.2024.01.004
- A Soil Moisture Retrieval Method for Reducing Topographic Effect: A Case Study on the Qinghai–Tibetan Plateau With SMOS Data Y. Bai et al. 10.1109/JSTARS.2023.3264572
- The Characterization of the Vertical Distribution of Surface Soil Moisture Using ISMN Multilayer In Situ Data and Their Comparison with SMOS and SMAP Soil Moisture Products N. Yang et al. 10.3390/rs15163930
- Soil Moisture Estimation by Assimilating In‐Situ and SMAP Surface Soil Moisture Using Unscented Weighted Ensemble Kalman Filter X. Fu et al. 10.1029/2023WR034506
- Improved Performance of CLM5.0 Model in Frozen Soil Simulation Over Tibetan Plateau by Implementing the Vegetation Emissivity and Gravel Hydrothermal Schemes J. Luo et al. 10.1029/2022JD038021
- Global spatiotemporal trend of satellite-based soil moisture and its influencing factors in the early 21st century C. Peng et al. 10.1016/j.rse.2023.113569
- Influences of Using Different Satellite Soil Moisture Products on SM2RAIN for Rainfall Estimation Across the Tibetan Plateau L. Miao et al. 10.1109/JSTARS.2023.3296455
2 citations as recorded by crossref.
- Recent Progress on Modeling Land Emission and Retrieving Soil Moisture on the Tibetan Plateau Based on L-Band Passive Microwave Remote Sensing X. Wu & J. Wen 10.3390/rs14174191
- A dataset of 10-year regional-scale soil moisture and soil temperature measurements at multiple depths on the Tibetan Plateau P. Zhang et al. 10.5194/essd-14-5513-2022
Latest update: 28 Mar 2024
Short summary
Soil moisture and soil temperature (SMST) are important state variables for quantifying the heat–water exchange between land and atmosphere. Yet, long-term, regional-scale in situ SMST measurements at multiple depths are scarce on the Tibetan Plateau (TP). The presented dataset would be valuable for the evaluation and improvement of long-term satellite- and model-based SMST products on the TP, enhancing the understanding of TP hydrometeorological processes and their response to climate change.
Soil moisture and soil temperature (SMST) are important state variables for quantifying the...
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