What drives daily precipitation over the central Amazon? Differences observed between wet and dry seasons
-
Published:2021-05-05
Issue:9
Volume:21
Page:6735-6754
-
ISSN:1680-7324
-
Container-title:Atmospheric Chemistry and Physics
-
language:en
-
Short-container-title:Atmos. Chem. Phys.
Author:
Biscaro Thiago S.ORCID, Machado Luiz A. T.ORCID, Giangrande Scott E.ORCID, Jensen Michael P.ORCID
Abstract
Abstract. This study offers an alternative presentation regarding
how diurnal precipitation is modulated by convective events that developed
over the central Amazon during the preceding nighttime period. We use data
collected during the Observations and Modelling of the Green Ocean Amazon
(GoAmazon 2014/2015) field campaign that took place from 1 January 2014
to 30 November 2015 in the central Amazon. Local surface-based
observations of cloud occurrence, soil temperature, surface fluxes, and
planetary boundary layer characteristics are coupled with satellite data to
identify the physical mechanisms that control the diurnal rainfall in
central Amazon during the wet and dry seasons. This is accomplished through
evaluation of the atmospheric properties during the nocturnal periods
preceding raining and non-raining events. Comparisons between these
non-raining and raining transitions are presented for the wet (January to
April) and dry (June to September) seasons. The results suggest that
wet-season diurnal precipitation is modulated by nighttime cloud coverage and
local influences such as heating induced turbulence, whereas the dry-season
rain events are controlled by large-scale circulations.
Funder
Fundação de Amparo à Pesquisa do Estado de São Paulo
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference72 articles.
1. Ackerman, T. P. and Stokes, G. M.: The Atmospheric Radiation Measurement
Program, Phys. Today, 56, 38–44, https://doi.org/10.1063/1.1554135, 2003. 2. Adams, D. K., Gutman, S., Holub, K., and Pereira, D.: GNSS Observations of
Deep Convective timescales in the Amazon, Geophys. Res. Lett., 40, 2818–2823, https://doi.org/10.1002/grl.50573,
2013. 3. Adams, D. K., Fernandes, R. M. S., Holub, K. L., Gutman, S. I., Barbosa, H.
M. J., Machado, L. A. T., Calheiros, A. J. P., Bennett, R. A., Kursinski, E.
R., Sapucci, L. F., DeMets, C., Chagas, G. F. B., Arellano, A., Filizola,
N., Amorim Rocha, A. A., Silva, R. A., Assunção, L. M. F., Cirino,
G. G., Pauliquevis, T., Portela, B. T. T., Sá, A., de Sousa, J. M., and
Tanaka, L. M. S.: The Amazon Dense GNSS Meteorological Network: A New
Approach for Examining Water Vapor and Deep Convection Interactions in the
Tropics, Bull. Am. Meteorol. Soc. 96, 2151–2165, https://doi.org/10.1175/BAMS-D-13-00171.1,
2015. 4. Adams, D. K., Barbosa, H. M. J., and Gaitán De Los Ríos, K. P.: A
Spatiotemporal Water Vapor–Deep Convection Correlation Metric Derived from
the Amazon Dense GNSS Meteorological Network, Mon. Weather Rev. 145, 279–288,
https://doi.org/10.1175/MWR-D-16-0140.1, 2017. 5. Anber, U., Gentine, P., Wang, S. G., and Sobel, A. H.: Fog and rain in the
Amazon, P. Natl. Acad. Sci. USA, 112, 11473–11477, 2015.
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|