Spatial distribution of air temperature in high-elevation glacierized regions: from observations in four catchments on the Tibetan Plateau

This experiment contains 30-meter resolution near-surface air temperature datasets for four glacier regions (Guliya, Aru, Naimona’nyi, Dunde) on the Qinghai-Tibet Plateau, derived by integrating in situ measurements (automatic weather stations and loggers; January-November 2019) with Landsat 8/9 thermal infrared data. The datasets, spanning elevations of 4,947–6,078 m and temperatures from −42°C to +16°C, address data gaps through masked nearest-neighbor interpolation and Kriging (for clustered outliers ≥5), with spatial smoothing to minimize observational noise. Validation against ground measurements employs Root Mean Square Error (RMSE) of °C and standard deviation (SD) of °C metrics, visualized via Temperature_Error graphs. The glaciers-representing diverse climatic zones-include Guliya (ice cap, westerlies-dominated), Aru (valley glacier), Naimona’nyi (Himalayan slopes), and Dunde (Qilian Mountains, transitional climate). Supported by elevation data from the Topographic Data of Qinghai-Tibet Plateau (2021) and temperature data from the GATP Dataset (doi:10.26050/WDCC/GATP). These spatially interpolated temperature distributions serve as a reference for assessing cryospheric and climate models in high-altitude regions.
 
Citation proposal
(2025) . Spatial distribution of air temperature in high-elevation glacierized regions: from observations in four catchments on the Tibetan Plateau. https://gdk.gdi-de.org/geonetwork/srv/api/records/wdc-climate.de:5309522
 

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Date ( Publication )
2025-08-19
Edition
1
Identifier
HGR
Identifier
doi:10.26050/WDCC/HGR

  Principal investigator

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Email: tywang_iem@163.com
Website
https://www.sut.edu.cn  

  Author

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Email: tywang_iem@163.com
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https://www.sut.edu.cn  

  Author

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Email: yanglu515@163.com
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https://www.sut.edu.cn  

  Author

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Email: dyzhang@sau.edu.cn
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not filled  

  Author

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Email: zhoujuncheng040909@163.com
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https://www.sut.edu.cn  

  Author

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Email: zhoutao_sut@163.com
Website
https://www.sut.edu.cn  

  Author

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Email: songhaolin0224@163.com
Website
https://www.sut.edu.cn  

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https://www.sut.edu.cn  
Name
NetCDF
Keywords
  • Data Graph Visualization
Keywords
  • Interpolation
Keywords
  • Multi-source Data
Keywords
  • Qinghai-Tibet Plateau
Keywords
  • air temperature
Keywords
  • glaciated region
Keywords
  • machine learning
Use limitation
CC-BY-4.0: Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
Metadata language
eng; USA
N
S
E
W


Supplemental Information
info:eu-repo/grantAgreement/SUT//LJ200080773/CN//Intelligent Urban Rainwater Collection Module System Application
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  • NetCDF ()

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9146
OnLine resource
https://www.wdc-climate.de/ui/entry?acronym=HGR  
Hierarchy level
collection collection

gmd:MD_Metadata

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wdc-climate.de:5309522   XML
Metadata language
eng; USA
Hierarchy level
collection collection
Hierarchy level name
HGR
Date stamp
2025-08-08T14:13:28
Metadata standard name
ISO 19115
Metadata standard version
ISO 19115-2:2009

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https://www.sut.edu.cn  
 
 

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