Improving Surface Soil Moisture Estimation Through Assimilating Satellite Land Surface Temperature With a Linear SM-LST Relationship
文献类型：期刊论文
| 作者 | Tian, Jiaxin3; Lu, Hui2,3; Yang, Kun3; Qin, Jun4; Zhao, Long1; Jiang, Yaozhi3; Shi, Pengfei3; Ma, Xiaogang3; Zhou, Jianhong3 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2023 |
| 卷号 | 16页码:7777-7790 |
| ISSN号 | 1939-1404 |
| 关键词 | Land data assimilation land surface temperature observation operator soil moisture |
| DOI | 10.1109/JSTARS.2023.3305888 |
| 通讯作者 | Lu, Hui(luhui@tsinghua.edu.cn) |
| 英文摘要 | Soil moisture (SM) plays a vital role in linking the global terrestrial water, energy, and carbon cycles. Land data assimilation (DA) is typically applied for acquiring more accurate SM estimates by incorporating remote sensing (RS) retrievals to constraint model parameters and system states. In addition to RS SM retrievals that are frequently used in land DA, the land surface temperature (LST), which can be directly and independently retrieved from thermal infrared measurements, is closely linked with SM, and can also be used in the land DA to improve SM estimation. However, it is hampered by the lack of a general observation operator that links LST retrievals with SM in the land surface model (LSM). Therefore, a novel LST DA scheme is developed in this article, in which RS LST is linked to SM by a linear relationship between the simulated ensembles of SM and LST generated by the Ensemble Kalman filter. Subsequently, MODIS LST is assimilated into the LSM to estimate SM and calibrate the soil parameters (soil porosity, soil texture) with the dual-cycle assimilation algorithm. The DA SM results are validated using an in situ SM network deployed in the central Tibetan Plateau. The results demonstrate that our DA scheme improved the SM accuracy-leading to a decrease in the root-mean-square error from 0.11 m(3)m(-3) to 0.026 m(3)m(-3). This article provides a novel scheme of LST assimilation, which is beneficial for the assimilation of high-resolution RS data. |
| WOS关键词 | TIBETAN PLATEAU ; PRODUCTS ; VALIDATION ; SYSTEM |
| 资助项目 | National Key Research and Development Program of China[2022YFC3002901] ; Second Tibetan Plateau Scientific Expedition, Research Program[2019QZKK0206] ; International Partnership Program of Chinese Academy of Sciences[183311KYSB20200015] ; China Postdoctoral Science Foundation[2023M731872] |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| WOS记录号 | WOS:001060342800003 |
| 资助机构 | National Key Research and Development Program of China ; Second Tibetan Plateau Scientific Expedition, Research Program ; International Partnership Program of Chinese Academy of Sciences ; China Postdoctoral Science Foundation |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/196811]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Lu, Hui |
| 作者单位 | 1.Southwest Univ, Sch Geog Sci, Chongqing 400715, Peoples R China 2.Tsinghua Univ, Dept Earth Syst Sci, Xian Inst Surveying & Mapping Joint Res Ctr Next G, Beijing 100084, Peoples R China 3.Tsinghua Univ, Inst Global Change Studies, Dept Earth Syst Sci, Minist Educ,Key Lab Earth Syst Modeling, Beijing 100084, 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 | Tian, Jiaxin,Lu, Hui,Yang, Kun,et al. Improving Surface Soil Moisture Estimation Through Assimilating Satellite Land Surface Temperature With a Linear SM-LST Relationship[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2023,16:7777-7790. |
| APA | Tian, Jiaxin.,Lu, Hui.,Yang, Kun.,Qin, Jun.,Zhao, Long.,...&Zhou, Jianhong.(2023).Improving Surface Soil Moisture Estimation Through Assimilating Satellite Land Surface Temperature With a Linear SM-LST Relationship.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,16,7777-7790. |
| MLA | Tian, Jiaxin,et al."Improving Surface Soil Moisture Estimation Through Assimilating Satellite Land Surface Temperature With a Linear SM-LST Relationship".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 16(2023):7777-7790. |
入库方式： OAI收割
来源：地理科学与资源研究所
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