Creation and verification of a multi-parameter surface meteorological dataset for the Tibetan Plateau for 2010-2020, available online

Abstract: The Qinghai-Tibetan 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 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 surrounding areas.To address these challenges, we utilized the WRF model and a 3D-var data assimilation method to create a high-resolution assimilated dataset (HRAD) based on three-dimensional variations.The QTP-HRAD dataset, covering the spatial range of 70 to 110E and 25 to 40N, has been validated using both surface weather station observationsand 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.