Unbiased Detection of Warming Trends Through Advanced Integration of Satellite and Reanalysis Air Temperatures
文献类型：期刊论文
| 作者 | Wang, Che2,3; He, Min1,4; Lu, Ning1; Qin, Jun1 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2025 |
| 卷号 | 18页码:24924-24935 |
| 关键词 | Air temperatures data assimilation moderate-resolution imaging spectroradiometer (MODIS) reanalysis unbiased detection warming trends Air temperatures data assimilation moderate-resolution imaging spectroradiometer (MODIS) reanalysis unbiased detection warming trends |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/JSTARS.2025.3610319 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Accurate detection of warming trends is crucial for both mitigation and adaptation strategies. While satellite observations provide high spatial resolution temperature data, cloud contamination creates gaps that require filling methods-a process that can bias warming trend calculations. Traditional gap-filling approaches, though accurate for absolute temperatures, consistently underestimate warming trends. This study presents a new data assimilation method that integrates moderate-resolution imaging spectroradiometer derived air temperatures with ERA5-Land reanalysis data to achieve unbiased warming trend detection while maintaining high spatial resolution. We validate our method against weather station data on the Tibetan Plateau (TP) and compare it with four mainstream gap-filling approaches: 1) temporal, 2) spatial, 3) spatio-temporal, and 4) multisource fusion-based methods. Our results show that while all methods, including ours, perform similarly in terms of absolute temperature accuracy (with root-mean-square error around 1.66 degrees C and R around 0.99), a critical difference emerges in warming trend estimation. Traditional gap-filling methods show negative biases in warming trends, but our assimilation-based approach almost completely eliminates these biases when validated against both station-level data and elevation-binned averages. The integrated air temperature for the TP reveals significant warming patterns, particularly in glacier regions, although the overall warming rate (0.022 degrees C/yr) is lower than that indicated by station data alone (0.026 degrees C/yr). This difference likely reflects the ability of our method to capture warming trends across the diverse terrain of the plateau, not just at station locations. This improvement in trend estimation, combined with the method's ability to maintain high spatial resolution, represents a significant advance in the use of satellite-derived data for climate change analysis. |
| URL标识 | 查看原文 |
| WOS关键词 | LAND-SURFACE TEMPERATURE ; MODIS |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001589913900015 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/217569]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | He, Min |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; 2.Capital Normal Univ, Beijing Lab Water Resources Secur, Beijing 100048, Peoples R China; 3.Capital Normal Univ, Key Lab Mech Prevent & Mitigat Land Subsidence, MOE, Beijing 100048, Peoples R China; 4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Che,He, Min,Lu, Ning,et al. Unbiased Detection of Warming Trends Through Advanced Integration of Satellite and Reanalysis Air Temperatures[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2025,18:24924-24935. |
| APA | Wang, Che,He, Min,Lu, Ning,&Qin, Jun.(2025).Unbiased Detection of Warming Trends Through Advanced Integration of Satellite and Reanalysis Air Temperatures.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,18,24924-24935. |
| MLA | Wang, Che,et al."Unbiased Detection of Warming Trends Through Advanced Integration of Satellite and Reanalysis Air Temperatures".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 18(2025):24924-24935. |
入库方式： OAI收割
来源：地理科学与资源研究所
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