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Integrated Global Radiosonde Archive (IGRA) - Monthly Means (Version Superseded)

**Please note, this dataset has been superseded by a newer version (see below). Users should not use this version except in rare cases (e.g., when reproducing previous studies that used this version).** Integrated Global Radiosonde Archive is a digital data set archived at the National Centers for Environmental Information (NCEI). This dataset contains monthly means of geopotential height, temperature, zonal wind, and meridional wind derived from the Integrated Global Radiosonde Archive (IGRA). IGRA consists of radiosonde and pilot balloon observations at over 1500 globally distributed stations, and monthly means are available for the surface and mandatory levels at many of these stations by contacting NCEI Customer Support. The period of record varies from station to station, with many extending from 1947 to 2016. Monthly means are computed separately for the nominal times of 0000 and 1200 UTC, considering data within two hours of each nominal time. A mean is provided, along with the number of values used to calculate it, whenever there are at least 10 values for a particular station, month, nominal time, and level.

About this Dataset

Updated: 2024-08-20
Metadata Last Updated: 2025-11-20T02:53:35.675Z
Date Created: N/A
Data Provided by:
Dataset Owner: N/A

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Table representation of structured data
Title Integrated Global Radiosonde Archive (IGRA) - Monthly Means (Version Superseded)
Description **Please note, this dataset has been superseded by a newer version (see below). Users should not use this version except in rare cases (e.g., when reproducing previous studies that used this version).** Integrated Global Radiosonde Archive is a digital data set archived at the National Centers for Environmental Information (NCEI). This dataset contains monthly means of geopotential height, temperature, zonal wind, and meridional wind derived from the Integrated Global Radiosonde Archive (IGRA). IGRA consists of radiosonde and pilot balloon observations at over 1500 globally distributed stations, and monthly means are available for the surface and mandatory levels at many of these stations by contacting NCEI Customer Support. The period of record varies from station to station, with many extending from 1947 to 2016. Monthly means are computed separately for the nominal times of 0000 and 1200 UTC, considering data within two hours of each nominal time. A mean is provided, along with the number of values used to calculate it, whenever there are at least 10 values for a particular station, month, nominal time, and level.
Modified 2025-11-20T02:53:35.675Z
Publisher Name N/A
Contact N/A
Keywords Earth Science > Atmosphere > Atmospheric Pressure > Atmospheric Pressure Measurements , Earth Science > Atmosphere > Atmospheric Pressure > Pressure Tendency , Earth Science > Atmosphere > Atmospheric Pressure > Surface Pressure , Earth Science > Atmosphere > Altitude > Geopotential Height , Earth Science > Atmosphere > Altitude > Tropopause , Earth Science > Atmosphere > Atmospheric Temperature > Surface Temperature > Air Temperature , Earth Science > Atmosphere > Atmospheric Temperature > Dew Point Temperature , Earth Science > Atmosphere > Atmospheric Temperature > Surface Temperature , Earth Science > Atmosphere > Atmospheric Temperature > Surface Temperature > Temperature Tendency , Earth Science > Atmosphere > Atmospheric Water Vapor > Water Vapor Indicators > Dew Point Temperature , Earth Science > Atmosphere > Atmospheric Winds > Surface Winds , Earth Science > Atmosphere > Atmospheric Winds > Wind Tendency , Earth Science > Atmosphere > Atmospheric Winds > Upper Level Winds , Earth Science > Atmosphere > Atmospheric Winds > Wind Profiles , Geographic Region > Global , Vertical Location > Stratosphere , Vertical Location > Troposphere , DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce , DOC/NOAA/NESDIS/NCDC > National Climatic Data Center, NESDIS, NOAA, U.S. Department of Commerce , climatologyMeteorologyAtmosphere
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