netcdf HGR_Aru_1_1325718175368550176 {
dimensions:
y = 800 ;
x = 150 ;
Time = 1488 ;
time = UNLIMITED ; // (1488 currently)
variables:
float temperature(Time, y, x) ;
temperature:_FillValue = NaNf ;
temperature:standard_name = "air_temperature" ;
temperature:long_name = "corrected_surface_air_temperature" ;
temperature:units = "degrees Celsius" ;
temperature:FillValue = NaNf ;
temperature:missing_value = NaNf ;
temperature:comment = "Temperature data contains missing values: nan, Actual range: -32.89911 to 4.9999084 ." ;
int time(time) ;
time:units = "minutes since 2019-01-01 00:00:00" ;
time:calendar = "gregorian" ;
time:standard_name = "time" ;
time:long_name = "Time duration" ;
time:axis = "T" ;
float Longitude(y, x) ;
Longitude:standard_name = "longitude" ;
Longitude:long_name = "Longitude" ;
Longitude:units = "degrees_east" ;
float Latitude(y, x) ;
Latitude:standard_name = "latitude" ;
Latitude:long_name = "Latitude" ;
Latitude:units = "degrees_north" ;
float altitude(y, x) ;
altitude:standard_name = "altitude" ;
altitude:long_name = "elevation" ;
altitude:units = "meters" ;
altitude:positive = "up" ;
float surface_bidirectional_reflectance(y, x) ;
surface_bidirectional_reflectance:grid_cell_size_reflective = 30.f ;
surface_bidirectional_reflectance:units = "percent" ;
surface_bidirectional_reflectance:standard_name = "surface_bidirectional_reflectance" ;
surface_bidirectional_reflectance:long_name = "surface bidirectional reflectance" ;
// global attributes:
:title = "Temperature Data in Aru region for 2019-01" ;
:references = "reference_1: https://doi.org/10.5066/P9OGBGM6\nreference_2: Yang, W. (2021). Temperature data of six glaciers in high altitude area of Qinghai Tibet Plateau (2019). National Tibetan Plateau / Third Pole Environment Data Center. https://doi.org/10.11888/Cryos.tpdc.271916.\nreference_3: Qi, S. (2022). Topographic data of Qinghai Tibet Plateau (2021). National Tibetan Plateau / Third Pole Environment Data Center. https://doi.org/10.11888/SolidEar.tpdc.272210. https://cstr.cn/18406.11.SolidEar.tpdc.272210." ;
:institution = "Shenyang University of Technology" ;
:institution_id = "SUT" ;
:institution_url = "https://www.sut.edu.cn/" ;
string :comment = "This dataset contains spatialization of near-surface air temperature in high-elevation glacierized regions in the Qinghai-Tibet Plateau. \nIce-covered study region is Aru Glacier region on the northwestern Tibetan Plateau.An AWS_aru was installed near the collapse fan, with the 4978 m elevation.\nT loggers were deployed on Aru Glacier,with 1 T logger located in front of the terminus moraines and 6 six other T loggers distributed on the glacier surface from 5357 to 6013 m MSL.The latitude and longitude coordinates were derived from a single-subscene remote sensing image acquired on January 8, 2019.The selected observations at Aru include 8 stations: AWS_aru, A1, A2, A3, A4, A5, A6, A7.\nCore Variable: Temperature (half-hourly surface air temperature at 30 m resolution)\nDimensions: (1488, 800, 150)\n1488 → Time steps (2019-01-01 00:00:00 – 2019-01-31 23:30:00, half-hourly) \n800 → Grid rows (latitude/y-axis)\n150 → Grid columns (longitude/x-axis)\nThe data for the Aru Glacier region covers the period from 1 January 2019 to 31 January 2019." ;
:program = "Single-Channel Algorithm, Voronoi-Delaunay triangulation, Gaussian Filter, Mean Filter" ;
:license = "CC-BY 4.0" ;
:keywords_vocabulary = "Global Change Master Directory (GCMD): https://earthdata.nasa.gov/earth-observation-data/find-data/gcmd/gcmd-keywords" ;
:keywords = "GCMD: Earth Science>Atmosphere>Atmospheric Temperature>Surface Air Temperature" ;
:contact = "Tianyun Wang <>" ;
:product_version = "1.0.0" ;
:standard_name_vocabulary = "CF Standard Name Table v27" ;
:realm = "landIce" ;
string :summary = "This dataset provides high-resolution (30 m) spatialized air temperature estimates for the Qinghai-Tibet Plateau,The spatialized air temperature is derived solely from ground-based meteorological station measurements interpolated within a geographic framework defined by Landsat 8 thermal infrared data.The spatial interpolation relies on Voronoi-Delaunay triangulation, using station measurements as anchors while leveraging Landsat precise geospatial coordinates (latitude/longitude) to delineate the interpolation grid boundaries.For simple and fast smoothing of gridded surface temperature data, use the mean filter; for edge-preserving denoising that maintains spatial gradients, choose the Gaussian filter.\nUnlike conventional methods, this approach does not incorporate satellite-derived land surface temperature (LST) values; Instead, it uses Landsat data strictly as a spatial reference to ensure accurate 30 m grid alignment.The resulting product combines the reliability of station observations with the fine-scale spatial structure of satellite data,It is suitable for studies requiring high-precision temperature distribution without the uncertainties associated with remote sensing temperature retrievals.The spatial grid alignment relies on Landsat 8 imagery acquired on January 8, 2019. \nThe altitude data is derived from the digital elevation model (DEM) data of Qinghai Tibet Plateau.\nThe study period for the Aru Glacier region spans January 2019 (01–31 January)." ;
:processing_level = "L4" ;
:source = "source_1: Image courtesy of the U.S. Geological Survey, LANDSAT_8 OLI/TIRS, L2SP, FILE_NAME_BAND_ST_B10. \nsource_2: Yang, W. (2021). Temperature data of six glaciers in high altitude area of Qinghai Tibet Plateau (2019). National Tibetan Plateau / Third Pole Environment Data Center. https://doi.org/10.11888/Cryos.tpdc.271916.\nsource_3: Topographic data of Qinghai Tibet Plateau (2021)" ;
:source_type = "AER" ;
:frequency = "1hr" ;
:history = "Created on 2025-7-22, using Python netCDF4." ;
:creation_date = "2025-07-22T12:30:00Z" ;
:creator = "Tianyun Wang" ;
:Conventions = "CF-1.8 ATMODAT-3.0" ;
:atmodat = "3.0" ;
:MAP_PROJECTION = "UTM" ;
:Projection_Information = "UTM Zone 47N (WGS84)" ;
:im_GeoTransform = 618915., 30., 0., 3764625., 0., -30. ;
:UTM_ZONE = "44" ;
:img_proj = "PROJCS[\"WGS 84 / UTM zone 44N\",GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AUTHORITY[\"EPSG\",\"4326\"]],PROJECTION[\"Transverse_Mercator\"],PARAMETER[\"latitude_of_origin\",0],PARAMETER[\"central_meridian\",81],PARAMETER[\"scale_factor\",0.9996],PARAMETER[\"false_easting\",500000],PARAMETER[\"false_northing\",0],UNIT[\"metre\",1,AUTHORITY[\"EPSG\",\"9001\"]],AXIS[\"Easting\",EAST],AXIS[\"Northing\",NORTH],AUTHORITY[\"EPSG\",\"32644\"]]" ;
:geospatial_vertical_resolution = "Undefined" ;
:nominal_resolution = "0.5 km" ;
:geospatial_lat_resolution = "30 m" ;
:geospatial_lon_resolution = "30 m" ;
:crs = "WGS84" ;
:featureType = "point" ;
:further_info_url = "https://www.wdc-climate.de/ui" ;
:metadata_link = "https://www.wdc-climate.de/ui" ;
:project = "Heat Island Intensity Prediction in an Intelligent Sponge Urban System in the Qinghai-Tibet Plateau" ;
:grid_mapping_name = "latitude_longitude" ;
}