Arid
DOI10.3389/feart.2021.654848
Temporal and Spatial Variations of Soil Moisture Over Xinjiang Based on Multiple GLDAS Datasets
Hu, Zengyun; Chen, Xi; Li, Yaoming; Zhou, Qiming; Yin, Gang
Corresponding AuthorChen, X (corresponding author), Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Beijing, Peoples R China. ; Chen, X (corresponding author), Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi, Xinjiang, Peoples R China. ; Chen, X (corresponding author), Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China.
JournalFRONTIERS IN EARTH SCIENCE
EISSN2296-6463
Year Published2021
Volume9
Abstract in EnglishUnder the global warming, as the typical arid region of Central Asia, the Xinjiang Uygur Autonomous Region (Xinjiang) has been experienced the remarkable warming and increased precipitation based on large previous studies. The arid and semiarid ecosystem of Xinjiang is very sensitive and vulnerable to climate change and water resource variations. However, the sparse and highly unevenly distributed in-situ stations in this region provide limited data for understanding of the soil moisture variations. In this study, the spatial and temporal changes and variations of soil moisture were explored at annual and seasonal time scales during the period of 2000-2017. The soil moisture data are from the Global Land Data Assimilation System (GLDAS) models, including four GLDAS 1 models: CLM, Mosaic, VIC and Noah 2.7 and one GLDAS 2.1 model: Noah 3.3. Major results show that 1) Noah 3.3 and VIC have the significant positive trends of annual soil moisture with the values of 2.64 degrees mm/a and 0.98 degrees mm/a. The trend of CLM is significant negative. The other two models Mosaic and Noah 2.7 have the weak positive trends. The temporal variations of seasonal soil moisutre are similar the annual soil moisture for each of the model. 2) For the spatial characteristics of the soil mositure variations, CLM displays the negative trends over large part of Xinjiang. Mosaic and VIC have the similar spatial characteristics of the linear trends. Noah 3.3 has the significant positive trends over almost Xinjiang which is different with Noah 2.7. All the five models have the positive trends over KLM. Our results have a better understanding of the soil moisture variations across Xinjiang, and they also enhance the reconginzing of the complex hydrological circulation in the arid regions.
Keyword in Englishlinear trend soil moisture spatial and temporal variation GLDAS product Xinjiang
SubtypeArticle
Language英语
OA Typegold
Indexed BySCI-E
WOS IDWOS:000657286200001
WOS KeywordDATA SETS ; CENTRAL-ASIA ; IN-SITU ; DATA ASSIMILATION ; CLIMATE-CHANGE ; SURFACE ; MODEL ; PRECIPITATION ; SIMULATIONS ; SYSTEM
WOS SubjectGeosciences, Multidisciplinary
WOS Research AreaGeology
Document Type期刊论文
Identifierhttp://119.78.100.177/qdio/handle/2XILL650/350272
Affiliation[Hu, Zengyun; Chen, Xi; Li, Yaoming] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Beijing, Peoples R China; [Hu, Zengyun; Chen, Xi; Li, Yaoming] Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi, Xinjiang, Peoples R China; [Hu, Zengyun; Chen, Xi; Li, Yaoming] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China; [Zhou, Qiming] Hong Kong Baptist Univ, Dept Geog, Kowloon, Peoples R China; [Yin, Gang] Xinjiang Univ, Coll Resource & Envrionment Sci, Urumqi, Xinjiang, Peoples R China
Recommended Citation
GB/T 7714
Hu, Zengyun,Chen, Xi,Li, Yaoming,et al. Temporal and Spatial Variations of Soil Moisture Over Xinjiang Based on Multiple GLDAS Datasets[J],2021,9.
APA Hu, Zengyun,Chen, Xi,Li, Yaoming,Zhou, Qiming,&Yin, Gang.(2021).Temporal and Spatial Variations of Soil Moisture Over Xinjiang Based on Multiple GLDAS Datasets.FRONTIERS IN EARTH SCIENCE,9.
MLA Hu, Zengyun,et al."Temporal and Spatial Variations of Soil Moisture Over Xinjiang Based on Multiple GLDAS Datasets".FRONTIERS IN EARTH SCIENCE 9(2021).
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