netcdf GATP_Dunde_1_4895292726880253416 {
dimensions:
y = 30 ;
x = 230 ;
Time = 15813 ;
time = UNLIMITED ; // (15813 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: -20.307129 to -5.0 ." ;
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 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:
string :title = "Temperature Data in Dunde region January–November 2019" ;
: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." ;
: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 Dunde Glacier region located on the northeastern Tibetan Plateau, which is near the Qilian Mountain. \nA total of 5 T loggers were deployed, including one over the terminus moraine and four on the glacier surface. \nThe elevation difference between the lowest and highest stations exceeded 2500 m. \nThe latitude and longitude coordinates were derived from a single-subscene remote sensing image acquired on March 5, 2019. \nThe selected observations at Dunde include 5 stations: D1, D2, D3, D4, D5. \nCore Variable: Temperature (half-hourly surface air temperature at 30 m resolution)\nDimensions: (15813, 30, 230) \n15813 → Time steps (2019-01-01 00:00:00 – 2019-11-26 10:00:00, half-hourly) \n30 → Grid rows (latitude/y-axis) \n230 → Grid columns (longitude/x-axis) \nThe data for the Dunde Glacier region covers the period from 1 January 2019 to 26 November 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. \nThe spatialized air temperature is derived solely from ground-based meteorological station measurements interpolated within a geographic framework defined by Landsat 8 thermal infrared data. \nThe 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. \nFor 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. \nInstead, it uses Landsat data strictly as a spatial reference to ensure accurate 30 m grid alignment. \nThe resulting product combines the reliability of station observations with the fine-scale spatial structure of satellite data. \nIt is suitable for studies requiring high-precision temperature distribution without the uncertainties associated with remote sensing temperature retrievals. \nThe spatial grid alignment relies on Landsat 8 imagery acquired on March 5, 2019. \nThe study period for the Dunde Glacier region covers January to November 2019 (01 January –26 November)." ;
: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." ;
:source_type = "AER" ;
:frequency = "1hr" ;
:history = "Created on 2025-5-26, using Python netCDF4." ;
:creation_date = "2025-05-26T12:30:00Z" ;
:creator = "Tianyun Wang" ;
:Conventions = "CF-1.8 ATMODAT-3.0" ;
:atmodat = "3.0" ;
:MAP_PROJECTION = "UTM" ;
:Projection_Information = "UTM Zone 47N (WGS84)" ;
:im_GeoTransform = 272985., 30., 0., 4221315., 0., -30. ;
:UTM_ZONE = "44" ;
:img_proj = "PROJCS[\"WGS 84 / UTM zone 47N\",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\",99],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\",\"32647\"]]" ;
: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://swiftbrowser.dkrz.de/tcl_s/C17Xs1bKsPDlGS" ;
:metadata_link = "https://swiftbrowser.dkrz.de/tcl_s/C17Xs1bKsPDlGS/ST_RFR_0124_Naimonanyi" ;
:project = "Heat Island Intensity Prediction in an Intelligent Sponge Urban System in the Qinghai-Tibet Plateau" ;
:grid_mapping_name = "latitude_longitude" ;
}