KMS National Astronomical Observatories, CAS
| Impact of Large-Scale Ocean-Atmosphere Interactions on Interannual Water Storage Changes in the Tropics and Subtropics | |
| Ni, Shengnan1,2,3,4,5; Luo, Zhicai1,2,3,4,5; Chen, Jianli6; Li, Jin7,8 | |
| 2021-09-01 | |
| Source Publication | REMOTE SENSING
 |
| Volume | 13Issue:17Pages:15 |
| Abstract | Satellite observations from the Gravity Recovery and Climate Experiment (GRACE) provide unique measurements of global terrestrial water storage (TWS) changes at different spatial and temporal scales. Large-scale ocean-atmosphere interactions might have significant impacts on the global hydrological cycle, resulting in considerable influences on TWS changes. Quantifying the contributions of large-scale ocean-atmosphere interactions to TWS changes would be beneficial to improving our understanding of water storage responses to climate variability. In the study, we investigate the impact of three major global ocean-atmosphere interactions-El Nino and Southern Oscillation (ENSO), Indian Ocean Dipole (IOD), and Atlantic Meridional Mode (AMM) on interannual TWS changes in the tropics and subtropics, using GRACE measurements and climate indices. Based on the least square principle, these climate indices, and the corresponding Hilbert transformations along with a linear trend, annual and semi-annual terms are fitted to the TWS time series on global 1 degrees x 1 degrees grids. By the fitted results, we analyze the connections between interannual TWS changes and ENSO, IOD, and AMM indices, and estimate the quantitative contributions of these climate phenomena to TWS changes. The results indicate that interannual TWS changes in the tropics and subtropics are related to ENSO, IOD, and AMM climate phenomena. The contribution of each climate phenomenon to TWS changes might vary in different regions, but in most parts of the tropics and subtropics, the ENSO contribution to TWS changes is found to be more dominant than those from IOD and AMM. |
| Keyword | GRACE terrestrial water storage climate variability least squares fit cross correlation |
| Funding Organization | National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Natural Science Foundation of Shanghai ; Natural Science Foundation of Shanghai ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Natural Science Foundation of Shanghai ; Natural Science Foundation of Shanghai ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Natural Science Foundation of Shanghai ; Natural Science Foundation of Shanghai ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Natural Science Foundation of Shanghai ; Natural Science Foundation of Shanghai |
| DOI | 10.3390/rs13173529 |
| WOS Keyword | GRACE DATA ; PRECIPITATION ; VARIABILITY ; AUSTRALIA ; DROUGHTS ; PACIFIC ; GRAVITY ; MODEL ; ENSO |
| Language | 英语 |
| Funding Project | National Key R&D Program of China[2018YFC1503503] ; National Natural Science Foundation of China[42004017] ; National Natural Science Foundation of China[42061134007] ; National Natural Science Foundation of China[42074018] ; National Natural Science Foundation of China[11873075] ; China Postdoctoral Science Foundation[2018M642847] ; Natural Science Foundation of Shanghai[20ZR1467400] |
| Funding Organization | National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Natural Science Foundation of Shanghai ; Natural Science Foundation of Shanghai ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Natural Science Foundation of Shanghai ; Natural Science Foundation of Shanghai ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Natural Science Foundation of Shanghai ; Natural Science Foundation of Shanghai ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Natural Science Foundation of Shanghai ; Natural Science Foundation of Shanghai |
| WOS Research Area | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS Subject | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS ID | WOS:000694511900001 |
| Publisher | MDPI |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.bao.ac.cn/handle/114a11/75586 |
| Collection | 中国科学院国家天文台 |
| Corresponding Author | Ni, Shengnan |
| Affiliation | 1.Huazhong Univ Sci & Technol, MOE Key Lab Fundamental Phys Quant Measurement, Wuhan 430074, Peoples R China 2.Huazhong Univ Sci & Technol, Hubei Key Lab Gravitat & Quantum Phys, PGMF, Wuhan 430074, Peoples R China 3.Huazhong Univ Sci & Technol, Sch Phys, Wuhan 430074, Peoples R China 4.Huazhong Univ Sci & Technol, Inst Geophys, Wuhan 430074, Peoples R China 5.Huazhong Univ Sci & Technol, PGMF, Wuhan 430074, Peoples R China 6.Univ Texas Austin, Ctr Space Res, Austin, TX 78759 USA 7.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China 8.Univ Chinese Acad Sci, Sch Astron & Space Sci, Beijing 100049, Peoples R China |
| Recommended Citation GB/T 7714 | Ni, Shengnan,Luo, Zhicai,Chen, Jianli,et al. Impact of Large-Scale Ocean-Atmosphere Interactions on Interannual Water Storage Changes in the Tropics and Subtropics[J]. REMOTE SENSING,2021,13(17):15. |
| APA | Ni, Shengnan,Luo, Zhicai,Chen, Jianli,&Li, Jin.(2021).Impact of Large-Scale Ocean-Atmosphere Interactions on Interannual Water Storage Changes in the Tropics and Subtropics.REMOTE SENSING,13(17),15. |
| MLA | Ni, Shengnan,et al."Impact of Large-Scale Ocean-Atmosphere Interactions on Interannual Water Storage Changes in the Tropics and Subtropics".REMOTE SENSING 13.17(2021):15. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment