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DOI | 10.5194/essd-13-3075-2021 |
Status of the Tibetan Plateau observatory (Tibet-Obs) and a 10-year (2009-2019) surface soil moisture dataset | |
Zhang, Pei; Zheng, Donghai; van der Velde, Rogier; Wen, Jun; Zeng, Yijian; Wang, Xin; Wang, Zuoliang; Chen, Jiali; Su, Zhongbo | |
通讯作者 | Su, ZB (通讯作者),Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7514 AE Enschede, Netherlands. ; Zheng, DH (通讯作者),Chinese Acad Sci, Inst Tibetan Plateau Res, Natl Tibetan Plateau Data Ctr, Key Lab Tibetan Environm Changes & Land Surface P, Beijing 100101, Peoples R China. |
发表日期 | 2021 |
ISSN | 1866-3508 |
EISSN | 1866-3516 |
起始页码 | 3075 |
结束页码 | 3102 |
卷号 | 13期号:6 |
英文摘要 | The Tibetan Plateau observatory (Tibet-Obs) of plateau scale soil moisture and soil temperature was established 10 years ago and has been widely used to calibrate/validate satellite- and model-based soil moisture (SM) products for their applications to the Tibetan Plateau (TP). This paper reports on the status of the Tibet-Obs and presents a 10-year (2009-2019) surface SM dataset produced based on in situ measurements taken at a depth of 5 cm collected from the Tibet-Obs that consists of three regional-scale SM monitoring networks, i.e. the Maqu, Naqu, and Ngari (including Ali and Shiquanhe) networks. This surface SM dataset includes the original 15 min in situ measurements collected by multiple SM monitoring sites of the three networks and the spatially upscaled SM records produced for the Maqu and Shiquanhe networks. Comparisons between four spatial upscaling methods - i.e. arithmetic averaging, Voronoi diagrams, time stability, and apparent thermal inertia - show that the arithmetic average of the monitoring sites with long-term (i.e. >= 6-year) continuous measurements is found to be most suitable to produce the upscaled SM records. Trend analysis of the 10-year upscaled SM records indicates that the Shiquanhe network in the western part of the TP is getting wet, while there is no significant trend found for the Maqu network in the east. To further demonstrate the uniqueness of the upscaled SM records in validating existing SM products for a long-term period (similar to 10 years), the reliability of three reanalysis datasets is evaluated for the Maqu and Shiquanhe networks. It is found that current model-based SM products still show deficiencies in representing the measured SM dynamics in the Tibetan grassland (i.e. Maqu) and desert ecosystems (i.e. Shiquanhe). The dataset would also be valuable for calibrating/validating long-term satellite-based SM products, evaluation of SM upscaling methods, development of data fusion methods, and quantifying the coupling of SM and precipitation at a 10-year scale. The dataset is available in the 4TU.ResearchData repository at https://doi.org/10.4121/12763700.v7 (Zhang et al., 2020). |
关键词 | APPARENT THERMAL INERTIANOAH MODEL PHYSICSVALIDATIONPRODUCTSRETRIEVALSATELLITENETWORKAUGMENTATIONSSIMULATIONSREGRESSION |
语种 | 英语 |
WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences |
WOS类目 | Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences |
WOS记录号 | WOS:000670319400001 |
来源期刊 | EARTH SYSTEM SCIENCE DATA |
来源机构 | 中国科学院西北生态环境资源研究院 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/254803 |
作者单位 | [Zhang, Pei; van der Velde, Rogier; Zeng, Yijian; Su, Zhongbo] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7514 AE Enschede, Netherlands; [Zhang, Pei; Zheng, Donghai; Chen, Jiali] Chinese Acad Sci, Inst Tibetan Plateau Res, Natl Tibetan Plateau Data Ctr, Key Lab Tibetan Environm Changes & Land Surface P, Beijing 100101, Peoples R China; [Wen, Jun] Chengdu Univ Informat Technol, Coll Atmospher Sci, Chengdu 610225, Peoples R China; [Wang, Xin; Wang, Zuoliang] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China; [Chen, Jiali] Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Pei,Zheng, Donghai,van der Velde, Rogier,et al. Status of the Tibetan Plateau observatory (Tibet-Obs) and a 10-year (2009-2019) surface soil moisture dataset[J]. 中国科学院西北生态环境资源研究院,2021,13(6). |
APA | Zhang, Pei.,Zheng, Donghai.,van der Velde, Rogier.,Wen, Jun.,Zeng, Yijian.,...&Su, Zhongbo.(2021).Status of the Tibetan Plateau observatory (Tibet-Obs) and a 10-year (2009-2019) surface soil moisture dataset.EARTH SYSTEM SCIENCE DATA,13(6). |
MLA | Zhang, Pei,et al."Status of the Tibetan Plateau observatory (Tibet-Obs) and a 10-year (2009-2019) surface soil moisture dataset".EARTH SYSTEM SCIENCE DATA 13.6(2021). |
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