An observational network of ground surface temperature under different land-cover types on the northeastern Qinghai–Tibet Plateau

Ground surface temperature (GST), measured at approximately 5 cm in depth, is a key controlling parameter for subsurface biophysical processes at the land–atmosphere boundary. This work presents a valuable dataset of GST observations at various spatial scales in the Headwater Area of the Yellow Rive...

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Bibliographic Details
Published in:Earth system science data 2024-03, Vol.16 (3), p.1425-1446
Main Authors: Şerban, Raul-David, Jin, Huijun, Şerban, Mihaela, Bertoldi, Giacomo, Luo, Dongliang, Wang, Qingfeng, Ma, Qiang, He, Ruixia, Jin, Xiaoying, Li, Xinze, Tang, Jianjun, Wang, Hongwei
Format: Article
Language:English
Subjects:
Atmospheric models
Climate change
Datasets
Distribution
Harsh environments
Headwaters
Highway construction
Land cover
Meadows
Permafrost
Permafrost distribution
Plateaus
Rivers
Steppes
Surface temperature
Swamps
Vegetation
Water conservation
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Summary:Ground surface temperature (GST), measured at approximately 5 cm in depth, is a key controlling parameter for subsurface biophysical processes at the land–atmosphere boundary. This work presents a valuable dataset of GST observations at various spatial scales in the Headwater Area of the Yellow River (HAYR), a representative area of high-plateau permafrost on the northeastern Qinghai–Tibet Plateau (QTP). GST was measured every 3 h using 72 iButton temperature loggers (DS1922L) at 39 sites from 2019 to 2020. At each site, GST was recorded in two plots at distances from 2 to 16 m under similar and different land-cover conditions (steppe, meadow, swamp meadow, and bare ground). These sensors proved their reliability in harsh environments because there were only 165 biased measurements from a total of 210 816. A high significant correlation (>0.96, p
ISSN:1866-3516
1866-3508
1866-3516
DOI:10.5194/essd-16-1425-2024