Two-Day Westward-Propagating Inertio-Gravity Waves during GoAmazon
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 = 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.
- Authors:
-
- Univ. of Michigan, Ann Arbor, MI (United States)
- Univ. of Wisconsin, Madison, WI (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Data Center
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Contributing Org.:
- Pacific Northwest National Laboratory (PNNL); Brookhaven National Laboratory (BNL); Argonne National Laboratory (ANL); Oak Ridge National Laboratory (ORNL)
- OSTI Identifier:
- 1829269
- Grant/Contract Number:
- AC05-76RL01830
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of the Atmospheric Sciences
- Additional Journal Information:
- Journal Volume: 78; Journal Issue: 11; Journal ID: ISSN 0022-4928
- Publisher:
- American Meteorological Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Surface fluxes; Gravity waves; Inertia-gravity waves; Tropical variability
Citation Formats
Mayta, Victor C., and Adames, Ángel F. Two-Day Westward-Propagating Inertio-Gravity Waves during GoAmazon. United States: N. p., 2021.
Web. doi:10.1175/jas-d-20-0358.1.
Mayta, Victor C., & Adames, Ángel F. Two-Day Westward-Propagating Inertio-Gravity Waves during GoAmazon. United States. https://doi.org/10.1175/jas-d-20-0358.1
Mayta, Victor C., and Adames, Ángel F. Mon .
"Two-Day Westward-Propagating Inertio-Gravity Waves during GoAmazon". United States. https://doi.org/10.1175/jas-d-20-0358.1. https://www.osti.gov/servlets/purl/1829269.
@article{osti_1829269,
title = {Two-Day Westward-Propagating Inertio-Gravity Waves during GoAmazon},
author = {Mayta, Victor C. and Adames, Ángel F.},
abstractNote = {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 = 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.},
doi = {10.1175/jas-d-20-0358.1},
journal = {Journal of the Atmospheric Sciences},
number = 11,
volume = 78,
place = {United States},
year = {Mon Nov 01 00:00:00 EDT 2021},
month = {Mon Nov 01 00:00:00 EDT 2021}
}
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