Skip to main content

Retrieving Large-scale Gravity Waves Parameters through hodographs as Seen by ICON.

Colin
Triplett
First Author's Affiliation
University of California, Berkeley
Abstract text:

Large-scale gravity waves are seen throughout the ICON MIGHTI wind daytime dataset. Triplett et al (2023) looked at waves seen in 2020 and showed the number of waves in latitudes and longitudes as well as the slope of the wave phases. This study used a wavelet peak finder to determine the location of the waves and a sample linear regression for the slopes. However, this study did not demonstrate such wave parameters as wavelengths or phase speeds. At AGU 2023 Vadas et al demonstrated a method using hodographs to extract wave parameters from ICON MIGHTI wind data. This method not only allows for wave parameters to be extracted, but also can be utilized as a more reliable way to detect these waves in the ICON dataset. Currently, the hodograph method has been implemented and some examples are shown below. The next step is to integrate it into an automated wave detection algorithm to get a full view of these waves.

Non-Student
Poster category
DATA - Data Assimilation, Data Analytics, Methods and Management