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DOI | 10.3390/rs15112906 |
Creation and Verification of a High-Resolution Multi-Parameter Surface Meteorological Assimilation Dataset for the Tibetan Plateau for 2010-2020 Available Online | |
Wen, Xiaohang; Zhu, Xian; Li, Maoshan; Chen, Mei; Zhang, Shaobo; Yang, Xianyu; Zheng, Zhiyuan; Qin, Yikun; Zhang, Yu; Lv, Shihua | |
发表日期 | 2023 |
EISSN | 2072-4292 |
卷号 | 15期号:11 |
英文摘要 | The Qinghai-Tibet Plateau (QTP) is a crucial component of the global climate system, influencing the regional and global climate through complex thermal and dynamic mechanisms. The high-altitude region, which is the largest part of the extra-polar cryosphere, encompasses extensive mountain glaciers, permafrost, and seasonally frozen land, making it highly sensitive to global climate change. However, the challenging environmental conditions, such as the harsh terrain and high altitude, coupled with sparse weather station distribution and weak observatory representation, make it difficult to accurately quantify the atmospheric conditions and land-atmosphere coupling systems and their effects on the surrounding areas. To address these challenges, we utilized the Weather Research and Forecasting (WRF) model and a three-dimensional variational (3DVAR) assimilation method to create a high-resolution assimilated dataset (HRAD). The QTP-HRAD, covering the spatial range of 70 to 110 degrees E and 25 to 40 degrees N, was validated using both surface weather station observations and the European Center for Medium-Range Weather Forecasts Reanalysis V5, and can now be utilized for further studies on land-atmosphere interactions, water cycling and radiation energy transfer processes, and extreme weather events in the region. |
关键词 | Tibetan Plateauassimilation datasetland-atmosphere interactionWRF model |
英文关键词 | CLIMATE-CHANGE; CUMULUS PARAMETERIZATION; SYSTEM; SIMULATION; FORECAST; WEATHER; IMPACT; CHINA; WATER; IMPLEMENTATION |
WOS研究方向 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:001005598000001 |
来源期刊 | REMOTE SENSING |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/283664 |
作者单位 | Chengdu University of Information Technology; China Meteorological Administration; Chinese Academy of Meteorological Sciences (CAMS); Sun Yat Sen University; Beijing Normal University; Beijing Normal University; Southern Marine Science & Engineering Guangdong Laboratory; Southern Marine Science & Engineering Guangdong Laboratory (Zhuhai) |
推荐引用方式 GB/T 7714 | Wen, Xiaohang,Zhu, Xian,Li, Maoshan,et al. Creation and Verification of a High-Resolution Multi-Parameter Surface Meteorological Assimilation Dataset for the Tibetan Plateau for 2010-2020 Available Online[J],2023,15(11). |
APA | Wen, Xiaohang.,Zhu, Xian.,Li, Maoshan.,Chen, Mei.,Zhang, Shaobo.,...&Lv, Shihua.(2023).Creation and Verification of a High-Resolution Multi-Parameter Surface Meteorological Assimilation Dataset for the Tibetan Plateau for 2010-2020 Available Online.REMOTE SENSING,15(11). |
MLA | Wen, Xiaohang,et al."Creation and Verification of a High-Resolution Multi-Parameter Surface Meteorological Assimilation Dataset for the Tibetan Plateau for 2010-2020 Available Online".REMOTE SENSING 15.11(2023). |
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