netcdf QTPTIRcorr_1_8171878710819592685 {
dimensions:
y = 1400 ;
x = 4100 ;
time = UNLIMITED ; // (41 currently)
variables:
float temperature(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: -33.999725 to 22.28482 ." ;
int time(time) ;
time:units = "seconds since 2019-01-02 04:04:13" ;
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 = "Corrected Surface Temperature Data for 2019-01-02" ;
: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: 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\nreference_4: 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/" ;
:comment = "This dataset contains surface temperature data corrected using a MLP Regressor. \nThe corrected surface temperature is based on 1 remote sensing image. The training data consists of spatially interpolated near-surface air temperature(doi:10.26050/WDCC/QTP), elevation, and thermal infrared remote sensing data from the Qinghai-Tibet Plateau, along with high-resolution topographic data. The test stations at the Parlung site include 15 stations: AWS4400, AWS4800, P7_94, P8_94, P9_94, P10_94, P11_94, P12_94, P13_94, P15_4, P16_4, P18_4, P19_4, P20_4, P21_4. \nWhen the 25 test stations at Parlung are used as test set data, they do not participate in the model training, the root mean squared error(RMSE) is 1.61 degrees Celsius, the standard deviation(SD) is 1.54 degrees Celsius. \nScene center time of the 1 remote sensing image is 04:04:33.5726579Z; date_acquired is 2019-01-02." ;
:program = "Single-Channel Algorithm, MLP Regressor" ;
: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 contains corrected surface air temperature data, which has been processed using meteorological observation data and thermal infrared remote sensing data. \nThe data covers a high-altitude area of the Qinghai-Tibet Plateau, with a spatial resolution of 30 meters. \nThe original temperature data were obtained from multiple sources, including thermal infrared remote sensing data from Landsat 8(L8) and Landsat 9 (L9) Collection 2 (C2) Level 2 (L2) products,as well as ground station measurements from National Tibetan Plateau/Third Pole Environment Data Center. \nL2SP includes Surface Temperature (ST), the L2SP image data are atmospherically corrected, each image band is available in a separate file. \nThe earth’s surface temperature is provided by ST band based on thermal infrared remote sensing information. \nDigital Number (DN) of standard L2SP is stored in a 16-bit unsigned integer format, ST is calculated by the Single Channel algorithm. \nThe value of Multiplicative factor is 0.00341802, which is used to scale the temperature converted by DN. \nThe value of additive factor is 149.0, which is used to scale the temperature converted by DN. \nThe regression algorithms in MLP Regressor was trained to correct for biases and inaccuracies in updating the spatialized near-surface air temperature. \nTo train an MLP Regressor using temperature and elevation data from the Qinghai-Tibet Plateau, along with remote sensing thermal infrared data\nThe training data consists of spatially interpolated near-surface air temperature, elevation, and thermal infrared remote sensing data from the Qinghai-Tibet Plateau, along with high-resolution topographic data.The altitude data is derived from the digital elevation model (DEM) data of Qinghai Tibet Plateau.\nThis dataset is suitable for climate research, environmental monitoring, and other applications requiring relatively accurate surface air temperature data. " ;
: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: doi:10.26050/WDCC/QTP\nsource_4: Topographic data of Qinghai Tibet Plateau (2021)" ;
:source_type = "AER" ;
:frequency = "1hr" ;
:history = "Created on 2025-8-17, using Python netCDF4." ;
:creation_date = "2025-08-17T12:30:00Z" ;
:creator = "Tianyun Wang" ;
:Conventions = "CF-1.8 ATMODAT-3.0" ;
:atmodat = "3.0" ;
:MAP_PROJECTION = "UTM" ;
:Projection_Information = "UTM Zone 47N (WGS84)" ;
:im_GeoTransform = 208155., 30., 0., 3273945., 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://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" ;
}