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José Marengo   Dr.  Other 
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José Marengo published an article in September 2018.
Top co-authors See all
S.K. Chou

456 shared publications

Brazilian Weather Research and Forecast, National Spatial Research Institute, (INPE), Cachoeira Paulista, Brazil

Roberto Greco

298 shared publications

Laboratory of Neurophysiology of Integrative Autonomic Systems, Headache Science Centre, IRCCS Mondino Foundation, Pavia, Italy

Eduardo Mario Mendiondo

37 shared publications

Sao Carlos School of Engineering, University of Sao Paulo, Sao Carlos, SP, 13566-590, Brazil

Luciana Rossato

11 shared publications

UFRGS

Yizhou Zhuang

11 shared publications

University of Texas at Austin Department of Geological Sciences, Jackson School of Geosciences Austin Texas USA

9
Publications
4
Reads
0
Downloads
46
Citations
Publication Record
Distribution of Articles published per year 
(2014 - 2018)
Publications See all
BOOK-CHAPTER 0 Reads 0 Citations Final Remarks and Recommendations Jose A. Marengo, Carlos A. Nobre, Wagner R. Soares, Ana P. S... Published: 26 September 2018
Climate Change Risks in Brazil, doi: 10.1007/978-3-319-92881-4_9
DOI See at publisher website
BOOK-CHAPTER 0 Reads 0 Citations Increase Risk of Drought in the Semiarid Lands of Northeast Brazil Due to Regional Warming above 4 °C Jose A. Marengo, Ana Paula Cunha, Wagner R. Soares, Roger R.... Published: 26 September 2018
Climate Change Risks in Brazil, doi: 10.1007/978-3-319-92881-4_7
DOI See at publisher website
Article 0 Reads 2 Citations Meteorological context of the onset and end of the rainy season in Central Amazonia during the GoAmazon2014/5 Jose A. Marengo, Gilberto F. Fisch, Lincoln M. Alves, Natana... Published: 26 June 2017
Atmospheric Chemistry and Physics, doi: 10.5194/acp-17-7671-2017
DOI See at publisher website
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The onset and demise of the rainy season in Amazonia are assessed in this study using meteorological data from the GoAmazon experiment, with a focus on the 2014–2015 rainy season. In addition, global reanalyses are also used to identify changes in circulation leading to the establishment of the rainy season in the region. Our results show that the onset occurred in January 2015, 2–3 pentads later than normal, and the rainy season during the austral summer of 2015 contained several periods with consecutive dry days in both Manacapuru and Manaus, which are not common for the wet season, and resulted in below-normal precipitation. The onset of the rainy season has been strongly associated with changes in large-scale weather conditions in the region due to the effect of the Madden–Julian Oscillation (MJO). Regional thermodynamic indices and the height of the boundary layer did not present a significant difference between the onset and demise of the wet season of 2015. This suggests that local changes, such as those in the regional thermodynamic characteristics, may not have influenced its onset. Thus, variability of the large-scale circulation was responsible for regional convection and rainfall changes in Amazonia during the austral summer of 2014–2015.
Article 0 Reads 1 Citation A globally deployable strategy for co-development of adaptation preferences to sea-level rise: the public participation ... Jose A. Marengo, Luci H. Nunes, Celia R. G. Souza, Frank Mul... Published: 09 April 2017
Natural Hazards, doi: 10.1007/s11069-017-2855-x
DOI See at publisher website
Article 0 Reads 0 Citations Impact of soil moisture over Palmer Drought Severity Index and its future projections in Brazil Luciana Rossato, José Antônio Marengo, Carlos Frederico De A... Published: 01 January 2017
RBRH, doi: 10.1590/2318-0331.0117160045
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Soil moisture is a main factor for the study of drought impacts on vegetation. Drought is a regional phenomenon and affects the food security more than any other natural disaster. Currently, the monitoring of different types of drought is based on indexes that standardize in temporal and regional level allowing, thus, comparison of water conditions in different areas. Therefore, in order to assess the impact of soil moisture during periods of drought, drought Palmer Severity Index was estimated for the entire region of the territory. For this were used meteorological data (rainfall and evapotranspiration) and soil (field capacity, permanent wilting point and water storage in the soil). The data field capacity and wilting point were obtained from the physical properties of soil; while the water storage in soil was calculated considering the water balance model. The results of the PSDI were evaluated during the years 2000 to 2015, which correspond to periods with and without occurrence of drought. In order to assess the future drought projections, considering the set of the Coupled Model Intercomparison rainfall data Project Phase 5 (CMIP5). Climate projections precipitation in CMIP5 for the period 2071-2100 was extracted generating entitled forcing scenarios Representative Concentration Pathways - RCPs, and referred to as RCOP 8.5, corresponding to an approximate radiative forcing the end the twenty-first century of 8.5 Wm -2 . The results showed that the PDSI is directly associated with climatological patterns of precipitation and soil moisture in any spatial and temporal scale (including future projections). Therefore, it is concluded that the PDSI is an important index to assess soil moisture different water conditions, as well as the association with economic and social information to create risk maps for subsidies to decision makers. Keywords: Soil moisture; Palmer Drought Severity Index; Future projections; Brazil
Article 2 Reads 23 Citations Drought in Northeast Brazil—past, present, and future Jose A. Marengo, Roger Rodrigues Torres, Lincoln Muniz Alves Published: 09 June 2016
Theoretical and Applied Climatology, doi: 10.1007/s00704-016-1840-8
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