Near-surface air temperature dataset for the Qinghai-Tibet Plateau (2019) derived from thermal infrared remote sensing and elevation-constrained modeling
This dataset provides high-resolution (30 m) spatialized near-surface air temperature products for the Qinghai-Tibet Plateau, updated using thermal infrared remote sensing data from Landsat 8 (L8) and Landsat 9 (L9) Collection 2 (C2) Level 2 (L2) products, combined with elevation-corrected regression modeling. The dataset includes corrected temperature files (adjusted via machine learning-based elevation corrections) for model development. The elevation corrections were performed using Topographic Data of Qinghai-Tibet Plateau (2021), integrated via Gaussian filtering to enhance spatial consistency in high-elevation regions. Supervised learning regression models (Random Forest Regression, Multilayer Perceptron regression, or Decision Tree regression) were applied to minimize Thermal Infrared Radiation-derived temperature biases and optimize high-altitude temperature estimation. The near-surface temperature lapse rate (LR) is a critical parameter in glaciological and hydrological models, but existing approaches often rely on empirical estimations with limited spatial representativeness. To mitigate these limitations, an optimized temperature spatialization method is proposed, fusing Local Representatives (LRs) across glacierized regions through Inverse Distance Weighting (IDW). This approach accounts for elevation-dependent microclimates while maintaining regional consistency. This dataset is suitable for climate research, and environmental modeling requiring high-resolution near-surface air temperature data.
Wang, Tianyun; Yang, Lu; Zhang, Deyuan; Zhou, Juncheng; Zhou, Tao; Song, Haolin (2025). Near-surface air temperature dataset for the Qinghai-Tibet Plateau (2019) derived from thermal infrared remote sensing and elevation-constrained modeling. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/QTPTIR
SQA - Scientific Quality Assurance 'approved by author'
Result Date
2025-09-25
Technical Quality Assurance (TQA)
TQA - Technical Quality Assurance 'approved by WDCC'
Description
1. Number of data sets is correct and > 0: passed; 2. Size of every data set is > 0: passed; 3. The data sets and corresponding metadata are accessible: passed; 4. The data sizes are controlled and correct: passed; 5. The spatial-temporal coverage description (metadata) is consistent to the data: passed; 6. The format is correct: passed; 7. Variable description and data are consistent: passed
Method
WDCC-TQA checklist
Method Description
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
[1] DOIYang, Wei; Zhu, Meilin; Guo, Xiaofeng; Zhao, Huabiao. (2022). Air Temperature Variability in High-Elevation Glacierized Regions: Observations from Six Catchments on the Tibetan Plateau. doi:10.1175/jamc-d-21-0122.1
Is derived from
[1] DOIYang, W.(National Tibetan Plateau / Third Pole Environment Data Center). (2021). Temperature data of six glaciers in high altitude area of Qinghai Tibet Plateau (2019). doi:10.11888/Cryos.tpdc.271916
[2] DOIWang, Tianyun; Yang, Lu; Zhang, Deyuan. (2025). Spatialization of near-surface air temperature and updating based on thermal infrared remote sensing information in the Qinghai-Tibet Plateau. doi:10.26050/WDCC/QTP