netcdf HGR_Guliya_1_453164007645222015 {
dimensions:
time = UNLIMITED ; // (1488 currently)
variables:
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 Root_Mean_Square_Error(time) ;
Root_Mean_Square_Error:long_name = "Root_Mean_Square_Error" ;
Root_Mean_Square_Error:units = "degrees Celsius" ;
Root_Mean_Square_Error:comment = "Root Mean Square Error data contains no missing or invalid values." ;
float Standard_Deviation(time) ;
Standard_Deviation:long_name = "Standard_Deviation" ;
Standard_Deviation:units = "degrees Celsius" ;
Standard_Deviation:comment = "Standard Deviation data contains no missing or invalid values." ;
// global attributes:
:title = "Temperature Errors Data 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." ;
:institution = "Shenyang University of Technology" ;
:institution_id = "SUT" ;
:institution_url = "https://www.sut.edu.cn/" ;
:comment = "This dataset contains temperature errors data in 2019-01, used records in 7 stations of Guliya set." ;
:program = "Voronoi, Nearest Neighbors Algorithm, Delaunay, Gaussian filtering, Mean filtering" ;
: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" ;
:summary = "This dataset contains Root Mean Square Error and Standard Deviation data.\nThe interpolation process involved placing stations at the center of Voronoi cells and using brute force search to find the nearest neighbors. \nDelaunay triangles were constructed using the coordinates of Voronoi cell intersection points and the stations, followed by trigonometric interpolation of the temperature distribution. \nFiltering and smoothing operations were applied to reduce noise and improve the overall quality of the initial near-surface air temperature distribution. \nThe accuracy of the models may vary depending on the specific environmental conditions and the quality of the input data. Data gaps, including outliers and missing values, were filled using masked nearest-neighbor interpolation. This dataset evaluates the accuracy of near-surface air temperature across Tibetan Plateau glaciers using meteorological station observations and thermal infrared remote sensing data aligned to identical grids. " ;
: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 2025-8-12, using Python netCDF4." ;
:creation_date = "2025-08-12T12:30:00Z" ;
:creator = "Tianyun Wang" ;
:Conventions = "CF-1.8 ATMODAT-3.0" ;
:atmodat = "3.0" ;
:MAP_PROJECTION = "UTM" ;
:Projection_Information = "UTM Zone 47N (WGS84)" ;
:UTM_ZONE = "44" ;
: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" ;
}