TY - JOUR
T1 - Kelvin waves during GOAmazon and their relationship to deep convection
AU - Serra, Yolande L.
AU - Rowe, Angela
AU - Adams, David K.
AU - Kiladis, George N.
N1 - Funding Information:
Acknowledgments. We thank Henrique Barbosa, Ludmila Silva, Bruno Takeshi, Luiz A. T. Machado, and Luiz F. Sapucci for their assistance with obtaining the GPS-Met data used in this analysis. We also thank Dr. Alice Grimm and two anonymous reviewers who greatly improved the clarity and quality of this manuscript over the original. This work is supported through DOE ASR Grant DE-SC0016222. This publication is partially funded by the Joint Institute for the Study of the Atmosphere and Ocean (JISAO) under NOAA Cooperative Agreement NA15OAR4320063, Contribution 2020-1073. The T3 and SIPAM data are available from the ARM data archive (https://www.arm.gov/data), and the GPS-Met data are available from the CHUVA data server (http://chuvaproject.cptec. inpe.br) or by contacting Luiz Sapucci. ERAI data are available from the Copernicus Climate Change Service data server (https://www.ecmwf.int/en/forecasts/datasets/archive-datasets/ reanalysis-datasets/era-interim). Kelvin wave identification, radar feature analysis, and GPS PWV are available from the authors by request.
Publisher Copyright:
Ó 2020 American Meteorological Society.
PY - 2020/10/5
Y1 - 2020/10/5
N2 - The 2014–15 Observations and Modeling of the Green Ocean Amazon (GOAmazon) field campaign over the central Amazon near Manaus, Brazil, occurred in coordination with the larger Cloud Processes of the Main Precipitation Systems in Brazil: A Contribution to Cloud-Resolving Modeling and to the Global Precipitation Measurement (CHUVA) project across Brazil. These programs provide observations of convection over the central Amazon on diurnal to annual time scales. In this study, we address the question of how Kelvin waves, observed in satellite observations of deep cloud cover over the GOAmazon region during the 2014–15 time period, modulate the growth, type, and organization of convection over the central Amazon. The answer to this question has implications for improved predictability of organized systems over the region and representation of convection and its growth on local to synoptic scales in global models. Our results demonstrate that Kelvin waves are strong modulators of synoptic-scale low- to midlevel free-tropospheric moisture, integrated moisture convergence, and surface heat fluxes. These regional modifications of the environment impact the local diurnal cycle of convection, favoring the development of mesoscale convective systems. As a result, localized rainfall is also strongly modulated, with the majority of rainfall in the GOAmazon region occurring during the passage of these systems.
AB - The 2014–15 Observations and Modeling of the Green Ocean Amazon (GOAmazon) field campaign over the central Amazon near Manaus, Brazil, occurred in coordination with the larger Cloud Processes of the Main Precipitation Systems in Brazil: A Contribution to Cloud-Resolving Modeling and to the Global Precipitation Measurement (CHUVA) project across Brazil. These programs provide observations of convection over the central Amazon on diurnal to annual time scales. In this study, we address the question of how Kelvin waves, observed in satellite observations of deep cloud cover over the GOAmazon region during the 2014–15 time period, modulate the growth, type, and organization of convection over the central Amazon. The answer to this question has implications for improved predictability of organized systems over the region and representation of convection and its growth on local to synoptic scales in global models. Our results demonstrate that Kelvin waves are strong modulators of synoptic-scale low- to midlevel free-tropospheric moisture, integrated moisture convergence, and surface heat fluxes. These regional modifications of the environment impact the local diurnal cycle of convection, favoring the development of mesoscale convective systems. As a result, localized rainfall is also strongly modulated, with the majority of rainfall in the GOAmazon region occurring during the passage of these systems.
KW - Amazon region
KW - Convective-scale processes
KW - Intraseasonal variability
KW - Mesoscale processes
KW - Tropical variability
KW - Water vapor
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U2 - 10.1175/JAS-D-20-0008.1
DO - 10.1175/JAS-D-20-0008.1
M3 - Article
AN - SCOPUS:85094133091
SN - 0022-4928
VL - 77
SP - 3533
EP - 3550
JO - Journal of the Atmospheric Sciences
JF - Journal of the Atmospheric Sciences
IS - 10
ER -