Dataset of Comparative Observations for Land Surface Processes over the Semi-Arid Alpine Grassland against Alpine Lakes in the Source Region of the Yellow River
Autor: | Xianhong Meng, Shihua Lyu, Zhaoguo Li, Yinhuan Ao, Lijuan Wen, Lunyu Shang, Shaoying Wang, Mingshan Deng, Shaobo Zhang, Lin Zhao, Hao Chen, Di Ma, Suosuo Li, Lele Shu, Yingying An, Hanlin Niu |
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Rok vydání: | 2023 |
Předmět: | |
Zdroj: | Advances in Atmospheric Sciences. 40:1142-1157 |
ISSN: | 1861-9533 0256-1530 |
Popis: | Thousands of lakes on the Tibetan Plateau (TP) play a critical role in the regional water cycle, weather, and climate. In recent years, the areas of TP lakes underwent drastic changes and have become a research hotspot. However, the characteristics of the lake-atmosphere interaction over the high-altitude lakes are still unclear, which inhibits model development and the accurate simulation of lake climate effects. The source region of the Yellow River (SRYR) has the largest outflow lake and freshwater lake on the TP and is one of the most densely distributed lakes on the TP. Since 2011, three observation sites have been set up in the Ngoring Lake basin in the SRYR to monitor the lake-atmosphere interaction and the differences among water-heat exchanges over the land and lake surfaces. This study presents an eight-year (2012–19), half-hourly, observation-based dataset related to lake–atmosphere interactions composed of three sites. The three sites represent the lake surface, the lakeside, and the land. The observations contain the basic meteorological elements, surface radiation, eddy covariance system, soil temperature, and moisture (for land). Information related to the sites and instruments, the continuity and completeness of data, and the differences among the observational results at different sites are described in this study. These data have been used in the previous study to reveal a few energy and water exchange characteristics of TP lakes and to validate and improve the lake and land surface model. The dataset is available at National Cryosphere Desert Data Center and Science Data Bank. |
Databáze: | OpenAIRE |
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