Multi-Scale and Multi-Depth Validation of Soil Moisture From the China Land Data Assimilation System
文献类型：期刊论文
| 作者 | Liu, Yangxiaoyue4; Jing, Wenlong1,3; Sun, Shuai2; Wang, Chongyang1,3 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2021 |
| 卷号 | 14页码:9913-9930 |
| 关键词 | Land surface Licenses Surface treatment Soil measurements Microwave measurement Land surface temperature Correlation Multidepth multiscale soil moisture (SM) China meteorological administration land data assimilation system (CLDAS) validation |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/JSTARS.2021.3116583 |
| 通讯作者 | Jing, Wenlong(jingwl@lreis.ac.cn) |
| 英文摘要 | Soil moisture (SM) plays a critical role in vegetation growth, terrestrial hydrological cycle, and regional climate change. In this article, the China Meteorological Administration Land Data Assimilation System (CLDAS) SM was validated at multiscale and multidepth against in situ measurements over the Tibetan plateau, and the Global Land Data Assimilation System (GLDAS) SM was also used as a reference for the validation process. The results revealed the following: First, in validations using the large, medium, and small scale networks, the small network achieved comparatively superior accuracy with a higher fitting degree and smaller statistical error, proving the reliability and robustness of densely clustered in situ stations. Second, the CLDAS SM can correctly present the promotion effect from precipitation. The most significant response of the CLDAS SM to precipitation lagged from 1 to 3 days in terms of growing depth, whereas promotion to SM tended to decrease as the soil depth increased. Third, CLDAS and GLDAS reasonably fitted in situ measurements in the frozen and unfrozen seasons, while their bias gradually increased with increasing depth. The SM errors in the snow-covered region were relatively stable. Diurnal land surface temperature exhibited a positive correlation with the bias of top-layer SM. In summary, this article shows that CLDAS SM retrievals favorably reproduced values and dynamics of in situ measurements and can be expected to act as a valuable reference for water cycle studies and climate evolution analysis. |
| WOS关键词 | PASSIVE MICROWAVE ; GLOBAL PRECIPITATION ; SURFACE-TEMPERATURE ; PRODUCTS ; MODEL ; VARIABILITY ; SATELLITE ; NETWORK ; SIMULATIONS ; RESOLUTION |
| 资助项目 | National Natural Science Foundation of China[42101475] ; Geographic Resources and Ecology Knowledge Service System of China Knowledge Center for Engineering Sciences and Technology[CKCEST-2015-1-4] ; National Earth System Science Data Center ; Guangzhou Basic Research Program ; GDAS' Project of Science and Technology Development[2020GDASYL-20200103006] ; GDAS' Project of Science and Technology Development[2016GDASRC-0211] ; GDAS' Project of Science and Technology Development[2020GDASYL-20200104003] ; Guangdong Innovative and Entrepreneurial Research Team Program[2016ZT06D336] ; Guangzhou Science and Technology Project[201902010033] |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000706818900003 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; Geographic Resources and Ecology Knowledge Service System of China Knowledge Center for Engineering Sciences and Technology ; National Earth System Science Data Center ; Guangzhou Basic Research Program ; GDAS' Project of Science and Technology Development ; Guangdong Innovative and Entrepreneurial Research Team Program ; Guangzhou Science and Technology Project |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/166834]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Jing, Wenlong |
| 作者单位 | 1.Southern Marine Sci & Engn Guangdong Lab Guangzho, Guangzhou 511458, Peoples R China 2.China Meteorol Adm, Natl Meteorol Informat Ctr, Beijing 100081, Peoples R China 3.Guangdong Acad Sci, Inst Geog,Guangzhou Inst Geog, Key Lab Guangdong Utilizat Remote Sensing & Geog, Guangdong Open Lab Geospatial Informat Technol Ap, Guangzhou 510070, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Yangxiaoyue,Jing, Wenlong,Sun, Shuai,et al. Multi-Scale and Multi-Depth Validation of Soil Moisture From the China Land Data Assimilation System[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2021,14:9913-9930. |
| APA | Liu, Yangxiaoyue,Jing, Wenlong,Sun, Shuai,&Wang, Chongyang.(2021).Multi-Scale and Multi-Depth Validation of Soil Moisture From the China Land Data Assimilation System.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,14,9913-9930. |
| MLA | Liu, Yangxiaoyue,et al."Multi-Scale and Multi-Depth Validation of Soil Moisture From the China Land Data Assimilation System".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 14(2021):9913-9930. |
入库方式： OAI收割
来源：地理科学与资源研究所
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