Cláudio Moisés Santos e Silva

Dr. Cláudio Moisés Santos e Silva

orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

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

Representative Publications

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16 July 2016 in Theoretical and Applied Climatology
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Journal Article
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POP. T. Oliveira
P. T. Oliveira
Cláudio Moisés Santos e SilvaCláudio Moisés Santos e Silva
Cláudio Moisés Santos e Silva
KLK. C. Lima
K. C. Lima

7 June 2019 in Geophysical Research Letters
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Journal Article
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HDHaibo Du
Haibo Du
LALisa V. Alexander
Lisa V. Alexander
Markus DonatMarkus Donat
Markus Donat
TLTanya Lippmann
Tanya Lippmann
ASArvind Srivastava
Arvind Srivastava
ZWZhengfang Wu
Zhengfang Wu
Extreme precipitation often persists for multiple days with variable duration but has usually been examined at fixed duration. Here we show that considering extreme persistent precipitation by complete event with variable duration, rather than a fixed temporal period, is a necessary metric to account for the complexity of changing precipitation. Observed global mean annual‐maximum precipitation is significantly stronger (49.5%) for persistent extremes than daily extremes. However, both globally observed and modeled rates of relative increases are lower for persistent extremes compared to daily extremes, especially for Southern Hemisphere and large regions in the 0‐45°N latitude band. Climate models also show significant differences in the magnitude and partly even the sign of local mean changes between daily and persistent extremes in global warming projections. Changes in extreme precipitation therefore are more complex than previously reported, and extreme precipitation events with varying duration should be taken into account for future climate change assessments.

1 June 2020 in Agricultural and Forest Meteorology
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Journal Article
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TMThiago Valentim Marques
Thiago Valentim Marques
KMKeila Mendes
Keila Mendes
PMPedro Mutti
Pedro Mutti
SMSalomão Medeiros
Salomão Medeiros
LSLindenberg Silva
Lindenberg Silva
BBBergson Guedes Bezerra
Bergson Guedes Bezerra

6 February 2018 in Theoretical and Applied Climatology
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BBBergson Guedes Bezerra
Bergson Guedes Bezerra
LSLindenberg L. Silva
Lindenberg L. Silva
Cláudio Moisés Santos e SilvaCláudio Moisés Santos e Silva
Cláudio Moisés Santos e Silva
GCGilvani Gomes de Carvalho
Gilvani Gomes de Carvalho

30 August 2018 in International Journal of Climatology
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PSPollyanne Evangelista da Silva
Pollyanne Evangelista da Silva
Cláudio Moisés Santos e SilvaCláudio Moisés Santos e Silva
Cláudio Moisés Santos e Silva
MSMaria Helena Constantino Spyrides
Maria Helena Constantino Spyrides
LALára de Melo Barbosa Andrade
Lára de Melo Barbosa Andrade
The occurrence of extreme climate events (ECEs) in the Amazon basin (AMZ) and northeast Brazil (NEB), such as torrential rains and severe droughts, varies in both spatial and temporal scales. Spatial analysis of trends allows observing changes in behaviour and determining in which regions a particular variable has been experiencing changes over time. Thus, the objective of this study is to analyse trends of 21 climate extremes indices, relative to maximum and minimum precipitation and temperature, as defined by the World Meteorological Organization, for the AMZ and NEB. The 21 indices were selected according to meteorological and climate characteristics of the regions. Through annual analysis it was possible to observe an increase in most of the climate extremes indices for air temperature in all AMZ and NEB subregions. As for extreme precipitation, only a few of the selected indices presented significant increase and/or decrease in their values. Overall, the eastern Amazon subregion in the AMZ presented the highest significant indices for temperature and precipitation. In NEB, both Northern Coast and Southern Coast subregions presented substantial increase or decrease in precipitation and temperature indices.

16 September 2014 in Atmospheric Science Letters
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ESEliane Barbosa Barbosa Santos
Eliane Barbosa Barbosa Santos
PLPaulo Sérgio Lucio
Paulo Sérgio Lucio
Cláudio Moisés Santos e SilvaCláudio Moisés Santos e Silva
Cláudio Moisés Santos e Silva
The Brazilian Amazon is a large territory, where different weather systems act, contributing to non‐homogeneity of the rainfall seasonal distribution in the region. The aim of this study is to determine sub‐regions of homogeneous precipitation in the Amazon, linking them to the main atmospheric systems that affect the rainfall in the region. For this, hierarchical cluster analysis was applied on a data set composed by 305 rain gauges. The results suggest that the Brazilian Amazon has six pluvial homogeneous regions.