Title
Two-day westward-propagating inertio-gravity waves during GoAmazon
Date Issued
01 November 2021
Access level
open access
Resource Type
journal article
Author(s)
Publisher(s)
American Meteorological Society
Abstract
The dynamical and thermodynamical features of Amazonian 2-day westward-propagating inertia-gravity (WIG) waves are examined. On the basis of a linear regression analysis of satellite brightness temperature and data from the 2014-15 Observations and Modeling of the Green Ocean Amazon (GoAmazon) field campaign, it is shown that Amazonian WIG waves exhibit structure and propagation characteristics consistent with the n 5 1 WIG waves from shallow water theory. These WIG waves exhibit a pronounced seasonality, with peak activity occurring from March to May and a minimum occurring from June to September. Evidence is shown that mesoscale convective systems over the Amazon are frequently organized in 2-day WIG waves. Results suggest that many of the Amazonian WIG waves come from preexisting 2-day waves over the Atlantic, which slow down when coupled with the deeper, more intense convection over tropical South America. In contrast to WIG waves that occur over the ocean, Amazonian 2-day WIG waves exhibit a pronounced signature in surface temperature, moisture, and heat fluxes.
Start page
3727
End page
3743
Volume
78
Issue
12
Language
English
OCDE Knowledge area
Meteorología y ciencias atmosféricas
Scopus EID
2-s2.0-85119414805
Source
Journal of the Atmospheric Sciences
ISSN of the container
00224928
Sponsor(s)
Acknowledgments. VM and ÁFA were supported by the National Science Foundation under Grant AGS-1841559. Interpolated Tb and ERA-I data are provided by the NOAA/ESRL. Most of data used in this study are available at the ARM Data Archive (https://www.arm.gov/data). We also would like to thank George Kiladis for providing us the satellite data used in this study. Finally, we thank Prof. Pedro Silva Dias and anonymous reviewers for helpful comments that helped improve the manuscript.
Sources of information: Directorio de Producción Científica Scopus