Helber Barros Gomes

Dr. Helber Barros Gomes

Institute of Atmospheric Sciences, Federal University of Alagoas, Maceio 57072-900, Brazil
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Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 January 2018 in Science
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JFJiwen Fan
Jiwen Fan
DRDaniel Rosenfeld
Daniel Rosenfeld
Yuwei ZhangYuwei Zhang
Yuwei Zhang
SGScott E. Giangrande
Scott E. Giangrande
zhanqing lizhanqing li
zhanqing li
RSRodrigo Augusto Ferreira Souza
Rodrigo Augusto Ferreira Souza
Up with ultrafine aerosol particles: Ultrafine aerosol particles (smaller than 50 nanometers in diameter) have been thought to be too small to affect cloud formation. Fan et al. show that this is not the case. They studied the effect of urban pollution transported into the otherwise nearly pristine atmosphere of the Amazon. Condensational growth of water droplets around the tiny particles releases latent heat, thereby intensifying atmospheric convection. Thus, anthropogenic ultrafine aerosol particles may exert a more important influence on cloud formation processes than previously believed. Science , this issue p. 411

5 March 2019 in Nature Communications
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Manish  ShrivastavaManish Shrivastava
Manish Shrivastava
MAMeinrat O. Andreae
Meinrat O. Andreae
Paulo ArtaxoPaulo Artaxo
Paulo Artaxo
HBHenrique de Melo Jorge Barbosa
Henrique de Melo Jorge Barbosa
LBLarry Berg
Larry Berg
CZChun Zhao
Chun Zhao
One of the least understood aspects in atmospheric chemistry is how urban emissions influence the formation of natural organic aerosols, which affect Earth’s energy budget. The Amazon rainforest, during its wet season, is one of the few remaining places on Earth where atmospheric chemistry transitions between preindustrial and urban-influenced conditions. Here, we integrate insights from several laboratory measurements and simulate the formation of secondary organic aerosols (SOA) in the Amazon using a high-resolution chemical transport model. Simulations show that emissions of nitrogen-oxides from Manaus, a city of ~2 million people, greatly enhance production of biogenic SOA by 60–200% on average with peak enhancements of 400%, through the increased oxidation of gas-phase organic carbon emitted by the forests. Simulated enhancements agree with aircraft measurements, and are much larger than those reported over other locations. The implication is that increasing anthropogenic emissions in the future might substantially enhance biogenic SOA in pristine locations like the Amazon.

15 February 2019 in Climate Dynamics
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TATércio Ambrizzi
Tércio Ambrizzi
BSBruce F. Pontes da Silva
Bruce F. Pontes da Silva
KHKevin Hodges
Kevin Hodges
PDPedro L. Silva Dias
Pedro L. Silva Dias
Dirceu HerdiesDirceu Herdies
Dirceu Herdies
Helber Barros GomesHelber Barros Gomes
Helber Barros Gomes

1 January 2015 in Advances in Meteorology
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Helber Barros GomesHelber Barros Gomes
Helber Barros Gomes
TATércio Ambrizzi
Tércio Ambrizzi
Dirceu HerdiesDirceu Herdies
Dirceu Herdies
KHKevin Hodges
Kevin Hodges
BSBruce Francisco Pontes da Silva
Bruce Francisco Pontes da Silva
This paper aims to identify the circulation associated with Easterly Wave Disturbances (EWDs) that propagate toward the Eastern Northeast Brazil (ENEB) and their impact on the rainfall over ENEB during 2006 and 2007 rainy seasons (April–July). The EWDs identification and trajectory are analyzed using an automatic tracking technique (TracKH). The EWDs circulation patterns and their main features were obtained using the composite technique. To evaluate the TracKH efficiency, a validation was done by comparing the EWDs number tracked against observed cases obtained from an observational analysis. The mean characteristics of EWDs are 5.5-day period, propagation speed of ~9.5 m·s−1, and a 4500 km wavelength. A synoptic analysis shows that between days −2 d and 0 d, the low level winds presented cyclonic relative vorticity and convergence anomalies both in 2006 and 2007. The EWDs signals are strongest at low levels. The EWDs propagation is associated with relative humidity and precipitation positive anomalies and OLR and omega negative anomalies. The EWDs tracks are seen over all ENEB and their lysis occurs between the ENEB and marginally inside the continent. The tracking captured 71% of EWDs in all periods, indicating that an objective analysis is a promising method for EWDs detection.

2 October 2019 in Big Earth Data
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WFWashington Luiz Félix Correia Filho
Washington Luiz Félix Correia Filho
José Francisco Oliveira JúniorJosé Francisco Oliveira Júnior
José Francisco Oliveira Júnior
DSDimas de Barros Santiago
Dimas de Barros Santiago
Paulo Miguel De Bodas TerassiPaulo Miguel De Bodas Terassi
Paulo Miguel De Bodas Terassi
Paulo TeodoroPaulo Teodoro
Paulo Teodoro
PSPaulo José Dos Santos
Paulo José Dos Santos
Brazilian biomes are home to a significant portion of the world’s biodiversity, with a total of 14% of existing species and still concentrate 20% of the world’s water resources. However, changes in biomes have a direct impact on rainfall patterns and water recycling. Based on this, the objective was to evaluate the variability of rainfall in the four existing biomes in the Northeast Brazil (NEB) and their interaction with the ENSO climate variability mode and regional scale meteorological systems via CHELSA product. For this, monthly rainfall data were used from 1979 to 2013, with a spatial resolution of 1 km × 1 km of the CHELSA product, and seasonal and annual rainfall patterns were extracted via boxplot. It was found that the rainy season in the Amazon, Caatinga and Cerrado biomes occurred between January and April, with varying intensities, except for the Atlantic Forest. Such seasonality patterns are associated with the NEB meteorological systems, with emphasis on ITCZ (all Biomes), UTCV (Amazon, Caatinga and Cerrado), Frontal Systems (extreme south of Caatinga, Cerrado and Atlantic Forest) and EWD/TWD in the (Atlantic Forest). In the inter-annual scale, the remarkable influence of ENSO was verified, mainly in the years 1983, 1985, 1989, 1993, 1998, 2009 and 2012. It is noteworthy that 1985 was the wettest year of the period, with a surplus in all biomes, while the driest year differs between the Amazon (1983), Atlantic Forest and Caatinga (1993) and Cerrado (2012) biomes. The study via orbital product in NEB showed that anthropogenic processes and natural variability interfere with the forms of rain interception in the biomes and hence in rainfall patterns and water recycling in NEB.

9 January 2022 in Climate Dynamics
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DCDuarte F. Costa
Duarte F. Costa
Helber Barros GomesHelber Barros Gomes
Helber Barros Gomes
MSMaria Cristina Lemos da Silva
Maria Cristina Lemos da Silva
LZLiming Zhou
Liming Zhou