Luciano Pezzi

Dr. Luciano Pezzi

orcid

Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

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

Representative Publications

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7 July 2020 in Climatic Change
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Journal Article
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BFBárbara C. Franco
Bárbara C. Franco
ODOmar Defeo
Omar Defeo
APAlberto R. Piola
Alberto R. Piola
MBMarcelo Barreiro
Marcelo Barreiro
HYHu Yang
Hu Yang
OMOsmar O. Möller
Osmar O. Möller

1 November 2002 in Journal of Climate
Verified
Journal Article
Closed access
ICIracema F. A. Cavalcanti
Iracema F. A. Cavalcanti
JMJosé A. Marengo
José A. Marengo
PSPrakki Satyamurty
Prakki Satyamurty
CNCarlos A. Nobre
Carlos A. Nobre
ITIgor Trosnikov
Igor Trosnikov
HCHélio Camargo
Hélio Camargo
The Center for Weather Forecasting and Climate Studies–Center for Ocean–Land–Atmosphere Studies (CPTEC–COLA) atmospheric general circulation model (AGCM) is integrated with nine initial conditions for 10 yr to obtain the model climate in an ensemble mode. The global climatological characteristics simulated by the model are compared with observational data, and emphasis is given to the Southern Hemisphere and South America. Evaluation of the model's performance is presented by showing systematic errors of several variables, and anomaly correlation and reproducibility are applied to precipitation. The model is able to simulate the main features of the global climate, and the results are consistent with analyses of other AGCMs. The seasonal cycle is reproduced well in all analyzed variables, and systematic errors occur at the same regions in different seasons. The Southern Hemisphere convergence zones are simulated reasonably well, although the model overestimates precipitation in the southern porti... Abstract The Center for Weather Forecasting and Climate Studies–Center for Ocean–Land–Atmosphere Studies (CPTEC–COLA) atmospheric general circulation model (AGCM) is integrated with nine initial conditions for 10 yr to obtain the model climate in an ensemble mode. The global climatological characteristics simulated by the model are compared with observational data, and emphasis is given to the Southern Hemisphere and South America. Evaluation of the model's performance is presented by showing systematic errors of several variables, and anomaly correlation and reproducibility are applied to precipitation. The model is able to simulate the main features of the global climate, and the results are consistent with analyses of other AGCMs. The seasonal cycle is reproduced well in all analyzed variables, and systematic errors occur at the same regions in different seasons. The Southern Hemisphere convergence zones are simulated reasonably well, although the model overestimates precipitation in the southern porti...

1 June 2000 in Acta Amazonica
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Journal Article
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Everaldo Barreiros de SouzaEveraldo Barreiros de Souza
Everaldo Barreiros de Souza
MKMary T Kayano
Mary T Kayano
JTJulio Tota
Julio Tota
LPLuciano Pezzi
Luciano Pezzi
GFGilberto Fisch
Gilberto Fisch
CNCarlos Nobre
Carlos Nobre
The influence of the large-scale climatic variability dominant modes in the Pacific and in the Atlantic on Amazonian rainfall is investigated. The composite technique of the Amazon precipitation anomalies is used in this work. The basis years for these composites arc those in the period 1960-1998 with occurrences of extremes in the Southern Oscillation (El Niño or La Niña) and the north/south warm (or cold) sea surface temperature (SST) anomalies dipole pattern in the tropical Atlantic. Warm (cold) dipole means positive (negative) anomalies in the tropical North Atlantic and negative (positive) anomalies in the tropical South Atlantic. Austral summer and autumn composites for extremes in the Southern Oscillation (El Niño or La Niña) and independently for north/south dipole pattern (warm or cold) of the SST anomalies in the tropical Atlantic present values (magnitude and sign) consistent with those found in previous works on the relationship between Amazon rainfall variations and the SST anomalies in the tropical Pacific and Atlantic. However, austral summer and autumn composites for the years with simultaneous occurrences of El Niño and warm north/south dipole of the SST anomalies in the tropical Atlantic show negative precipitation anomalies extending eastward over the center-eastern Amazon. This result indicates the important role played by the tropical Atlantic in the Amazon anomalous rainfall distribution.

23 August 2003 in Climate Dynamics
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JMJ. A. Marengo
J. A. Marengo
ICI. F. A. Cavalcanti
I. F. A. Cavalcanti
PSP. Satyamurty
P. Satyamurty
ITI. Trosnikov
I. Trosnikov
CNC. A. Nobre
C. A. Nobre
LCL. Candido
L. Candido

20 May 2021 in Scientific Reports
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Journal Article
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LPLuciano Pezzi
Luciano Pezzi
RSRonald B. de Souza
Ronald B. de Souza
MSMarcelo F. Santini
Marcelo F. Santini
AMArthur J. Miller
Arthur J. Miller
Jonas Takeo CarvalhoJonas Takeo Carvalho
Jonas Takeo Carvalho
JRJoel Rubert
Joel Rubert
Sea surface temperature (SST) anomalies caused by a warm core eddy (WCE) in the Southwestern Atlantic Ocean (SWA) rendered a crucial influence on modifying the marine atmospheric boundary layer (MABL). During the first cruise to support the Antarctic Modeling and Observation System (ATMOS) project, a WCE that was shed from the Brazil Current was sampled. Apart from traditional meteorological measurements, we used the Eddy Covariance method to directly measure the ocean–atmosphere sensible heat, latent heat, momentum, and carbon dioxide (CO2) fluxes. The mechanisms of pressure adjustment and vertical mixing that can make the MABL unstable were both identified. The WCE also acted to increase the surface winds and heat fluxes from the ocean to the atmosphere. Oceanic regions at middle and high latitudes are expected to absorb atmospheric CO2, and are thereby considered as sinks, due to their cold waters. Instead, the presence of this WCE in midlatitudes, surrounded by predominantly cold waters, caused the ocean to locally act as a CO2 source. The contribution to the atmosphere was estimated as 0.3 ± 0.04 mmol m−2 day−1, averaged over the sampling period. The CO2 transfer velocity coefficient (K) was determined using a quadratic fit and showed an adequate representation of ocean–atmosphere fluxes. The ocean–atmosphere CO2, momentum, and heat fluxes were each closely correlated with the SST. The increase of SST inside the WCE clearly resulted in larger magnitudes of all of the ocean–atmosphere fluxes studied here. This study adds to our understanding of how oceanic mesoscale structures, such as this WCE, affect the overlying atmosphere.