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Volume 17, issue 23
Atmos. Chem. Phys., 17, 14811–14819, 2017
https://doi.org/10.5194/acp-17-14811-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 17, 14811–14819, 2017
https://doi.org/10.5194/acp-17-14811-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

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 et al.

Related subject area

Subject: Dynamics | Research Activity: Field Measurements | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
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Cited articles

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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.
Gravity wave stress is crucial for weather prediction purposes. It is found that proper...
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