Historical hourly meteorological dataset for WMO station 38392 (Dashoguz, Turkmenistan) from the NOAA GHCNh archive

OverviewThis dataset contains the complete historical record (Period of Record - "por") of hourly and synoptic surface meteorological observations for the weather station Dashoguz, Turkmenistan (WMO Index: 38392, GHCNh Station ID: TXI0000UTAT) covering a 95-year period from January 1, 1931, to December 31, 2025. Data Source & OriginThe original data was retrieved from the National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI) under the Global Historical Climatology Network - hourly (GHCNh) project. Data Structure and Format* **File Name:** GHCNh_TXM00038392_por.psv* **Format:** Pipe-Separated Values (.psv), where the vertical bar "|" is used as the column delimiter.* **Content:** The file includes comprehensive global baseline metadata, station-level pressure, sea-level pressure, and other surface weather parameters recorded at the Dashoguz station over its entire operational history. Missing parameters for specific observation hours are represented by standard empty fields (multiple delimiters "||"), strictly adhering to the NOAA NCEI integration standards. Data Verification & CompletenessThe completeness and structure of this dataset for WMO station 38392 were verified through official technical correspondence with NOAA's National Centers for Environmental Information (NCEI) User Engagement Services. According to NOAA NCEI, the available historical records for this station have been fully digitized and integrated into this specific Period of Record (POR) file. Potential Research Applications* Long-term climate change, temperature, and atmospheric pressure trend analysis in the Amudarya River basin and the Aral Sea modern desertification zone.* Validation, calibration, and downscaling of regional climate models (RCMs), reanalysis fields (e.g., MERRA-2), and satellite-derived agrometeorological products (e.g., NASA POWER).* Hydrometeorological modeling, crop water requirement calculations, and agricultural planning in arid environments. Official Acknowledgement & Foundational CitationWhen using this dataset in academic publications, please cite this Zenodo DOI and acknowledge the foundational data provider:"NOAA National Centers for Environmental Information (NCEI). Global Historical Climatology Network - hourly (GHCNh), Version 1."