Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 17, issue 23
Articles | Volume 17, issue 23
https://doi.org/10.5194/acp-17-14811-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-14811-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 17, issue 23
Research article
 | 
12 Dec 2017
Research article |  | 12 Dec 2017

Retrieving characteristics of inertia gravity wave parameters with least uncertainties using the hodograph method

Gopa Dutta, Palla Vinay Kumar, and Salauddin Mohammad

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Latest update: 14 Dec 2024
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Short summary
Gravity wave stress is crucial for weather prediction purposes. It is found that proper filtering of the data is essential to reduce uncertainties in the popular hodograph method to delineate low-frequency gravity wave parameters. Our research helped in improving the estimates of gravity wave stress by reducing errors.
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