A long-term, high-quality, high-vertical-resolution GPS dropsonde dataset for hurricane and other studies

A GPS dropsonde is a scientific instrument deployed from research and operational aircraft that descends through the atmosphere by a parachute. The dropsonde provides high-quality, high-vertical-resolution profiles of atmospheric pressure, temperature, relative humidity, wind speed, and direction from the aircraft flight level to the surface over oceans and remote areas. Since 1996, GPS dropsondes have been routinely dropped during hurricane reconnaissance and surveillance flights to help predict hurricane track and intensity. From 1996 to 2012, NOAA has dropped 13,681 dropsondes inside hurricane eye walls or in the surrounding environment for 120 tropical cyclones (TCs). All NOAA dropsonde data have been collected, reformatted to one format, and consistently and carefully quality controlled using state-of-the-art quality-control (QC) tools. Three value-added products, the vertical air velocity and the radius and azimuth angle of each dropsonde location, are generated and added to the dataset. As a result, a long-term (1996-2012), high-quality, high-vertical-resolution (∼5-15 m) GPS dropsonde dataset is created and made readily available for public access. The dropsonde data collected during hurricane reconnaissance and surveillance flights have improved TC-track and TC-intensity forecasts significantly. The impact of dropsonde data on hurricane studies is summarized. The scientific applications of this long-term dropsonde dataset are highlighted, including characterizing TC structures, studying TC environmental interactions, identifying surface-based ducts in the hurricane environment that affect electromagnetic wave propagation, and validating satellite temperature and humidity profiling products.

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Author Wang, Junhong
Young, Kathryn
Hock, Terrence
Lauritsen, Dean
Behringer, Jesse
Black, Michael
Black, Peter
Franklin, James
Halverson, Jeff
Molinari, John
Nguyen, Leon
Reale, Tony
Smith, Jeff
Sun, Bomin
Wang, Qing
Zhang, Jun A.
Publisher UCAR/NCAR - Library
Publication Date 2015-06-01T00:00:00
Digital Object Identifier (DOI) Not Assigned
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T18:26:24.689181
Metadata Record Identifier edu.ucar.opensky::articles:16825
Metadata Language eng; USA
Suggested Citation Wang, Junhong, Young, Kathryn, Hock, Terrence, Lauritsen, Dean, Behringer, Jesse, Black, Michael, Black, Peter, Franklin, James, Halverson, Jeff, Molinari, John, Nguyen, Leon, Reale, Tony, Smith, Jeff, Sun, Bomin, Wang, Qing, Zhang, Jun A.. (2015). A long-term, high-quality, high-vertical-resolution GPS dropsonde dataset for hurricane and other studies. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7mg7qpv. Accessed 15 March 2025.

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