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HISISP-QTP (Heat Island Intensity Prediction in an Intelligent Sponge Urban System in the Qinghai-Tibet Plateau)
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Data Graph Visualization
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Qinghai-Tibet Plateau
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air temperature
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glaciated region
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machine learning
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Shenyang Aerospace University
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Song, Haolin
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Wang, Dr. Tianyun
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Yang, Prof. Dr. Lu
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Zhang, Dr. Deyuan
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Zhou, Juncheng
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Zhou, Tao
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Spatial distribution of air temperature in high-elevation glacierized regions: from observations in four catchments on the Tibetan Plateau
DOI
Experiment
Data Graph Visualization
Interpolation
Multi-source Data
Qinghai-Tibet Plateau
air temperature
glaciated region
machine learning
Identifier
doi:10.26050/WDCC/HGR
Summary
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
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Project
HISISP-QTP (Heat Island Intensity Prediction in an Intelligent Sponge Urban System in the Qinghai-Tibet Plateau)
Authors
Wang, Tianyun; Yang, Lu; Zhang, Deyuan; Zhou, Juncheng; Zhou, Tao; Song, Haolin
Creation Date
2025-08-08
Temporal Coverage
2019-01 TO 2019-11
Spatial Coverage
Longitude: 81.00, 97.00 Latitude: 30.00, 39.00
Additional Info
HGR_MDinfo
Status
completely archived
[Entry acronym: HGR] [Entry id: 5309522] [ Score: 22.506918]
HISISP-QTP
(Project)
HGR
(Experiment)
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