Spatialization of near-surface air temperature and updating based on thermal infrared remote sensing information in the Qinghai-Tibet Plateau - training data

hdl:21.14106/16ebca8439a4ac9a4b4bf8950fdc452edd7b01fc

Wang, Tianyun; Yang, Lu; Zhang, Deyuan

Dataset
Summary
This data set is the training data of the Spatialization of near-surface air temperature and updating based on thermal infrared remote sensing information in the Qinghai-Tibet Plateau. In the coverage area of the meteorological observation stations，the stations are densely distributed, ensuring a relatively abundant and timely supply of real-time observation data. Divide the meteorological stations cover area into grids，the observation data of every station is assigned as the initial estimation of near-surface air temperature distribution used Nearest Neighbors algorithm. The meteorological observation data obtained from the stations serves as the basis for initializing the near-surface air temperature values within the corresponding region. The Delauny triangles are constructed utilizing the coordinates of Voronoi cell intersection points and the stations, trigonometric interpolation as the updating correct result of the initial estimation of near-surface air temperature distribution.The main function of Gaussian filtering is smoothing the noise in the estimated results, by adjusting the size and standard deviation of the Gaussian kernel, different degrees of smoothing effects can be obtained. Mean filtering is used to smooth the near-surface air temperature distribution estimation result, which can smooth the estimation and reduce noise. The average value of near-surface air estimation in the neighborhood of the grid point is used to replace the temperature of the grid point to smooth the near-surface air temperature distribution estimation. The data source is provided by National Tibetan Plateau / Third Pole Environment Data Center (http://data.tpdc.ac.cn).
Project
HISISP-QTP (Heat Island Intensity Prediction in an Intelligent Sponge Urban System in the Qinghai-Tibet Plateau)
Additional Information
Spatialization of near-surface air temperature and updating based on thermal infrared remote sensing information in the Qinghai-Tibet Plateau - metadata information
Spatial Coverage
Longitude 73 to 105 Latitude 25 to 40 Altitude: 3000 m to 5000 m
Temporal Coverage
2019-01-02 to 2019-11-25 (gregorian)
Use constraints
Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Access constraints
registered users
Size
57.78 MiB (60585807 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2035-02-06
Download Permission
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Cite as
[ Derived from parent entry - See data hierarchy tab ]
Wang, 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. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/QTP

BibTeX RIS
VariableUnit
air_temperature
CF
degC
altitude
CF
m
surface_bidirectional_reflectance
CF
0.01

References

[1] Wang, Tianyun; Zhang, Deyuan; Yang, Lu. (2025). Spatialization of near-surface air temperature and updating based on thermal infrared remote sensing information in the Qinghai-Tibet Plateau.

Parent

Spatialization of near-surface air temperature and updating based on thermal infrared remote sensing information in the Qinghai-Tibet Plateau
Details

Parent project(s)

Heat Island Intensity Prediction in an Intelligent Sponge Urban System in the Qinghai-Tibet Plateau

[Entry acronym: QTP_train] [Entry id: 5284106]