GRACILE: A comprehensive climatology of atmospheric gravity wave parameters based on satellite limb soundings

Gravity waves are one of the main drivers of atmospheric dynamics. The spatial resolution of most global atmospheric models, however, is too coarse to properly resolve the small scales of gravity waves, which range from tens to a few thousand kilometers horizontally, and from below 1 km to tens of kilometers vertically. Gravity wave source processes involve even smaller scales. Therefore, general circulation models (GCMs) and chemistry climate models (CCMs) usually parametrize the effect of gravity waves on the global circulation. These parametrizations are very simplified. For this reason, comparisons with global observations of gravity waves are needed for an improvement of parametrizations and an alleviation of model biases.

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Related Dataset #1 : GRACILE: A comprehensive climatology of atmospheric gravity wave parameters based on satellite limb soundings, link to data in NetCDF format, supplement to: Ern, Manfred; Trinh, Quang Thai; Preusse, Peter; Gille, John C; Mlynczak, Martin G; Russell III, James M; Riese, Martin (2018): GRACILE: a comprehensive climatology of atmospheric gravity wave parameters based on satellite limb soundings. Earth System Science Data, 10(2), 857-892

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Copyright 2018 Author(s). This work is licensed under a Creative Commons Attribution 4.0 license.


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Author Ern, Manfred
Trinh, Quang Thai
Preusse, Peter
Gille, John C.
Mlynczak, Martin G.
Russell III, James M.
Riese, Martin
Publisher UCAR/NCAR - Library
Publication Date 2018-04-27T00:00:00
Digital Object Identifier (DOI) Not Assigned
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Resource Version N/A
Topic Category geoscientificInformation
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Metadata Date 2023-08-18T18:22:46.660903
Metadata Record Identifier edu.ucar.opensky::articles:21631
Metadata Language eng; USA
Suggested Citation Ern, Manfred, Trinh, Quang Thai, Preusse, Peter, Gille, John C., Mlynczak, Martin G., Russell III, James M., Riese, Martin. (2018). GRACILE: A comprehensive climatology of atmospheric gravity wave parameters based on satellite limb soundings. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d73b62w8. Accessed 01 July 2025.

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