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Renata Libonati   Dr.  University Educator/Researcher 
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Renata Libonati published an article in November 2018.
17
Publications
21
Reads
8
Downloads
92
Citations
Publication Record
Distribution of Articles published per year 
(2008 - 2018)
Total number of journals
published in
 
12
 
Publications See all
Article 0 Reads 1 Citation Extreme Drought Events over the Amazon Basin: The Perspective from the Reconstruction of South American Hydroclimate Beatriz Nunes Garcia, Renata Libonati, Ana M. B. Nunes Published: 07 November 2018
Water, doi: 10.3390/w10111594
DOI See at publisher website ABS Show/hide abstract
The Amazon basin has experienced severe drought events for centuries, mainly associated with climate variability connected to tropical North Atlantic and Pacific sea surface temperature anomalous warming. Recently, these events are becoming more frequent, more intense and widespread. Because of the Amazon droughts environmental and socioeconomic impacts, there is an increased demand for understanding the characteristics of such extreme events in the region. In that regard, regional models instead of the general circulation models provide a promising strategy to generate more detailed climate information of extreme events, seeking better representation of physical processes. Due to uneven spatial distribution and gaps found in station data in tropical South America, and the need of more refined climate assessment in those regions, satellite-enhanced regional downscaling for applied studies (SRDAS) is used in the reconstruction of South American hydroclimate, with hourly to monthly outputs from January 1998. Accordingly, this research focuses on the analyses of recent extreme drought events in the years of 2005 and 2010 in the Amazon Basin, using the SRDAS monthly means of near-surface temperature and relative humidity, precipitation and vertically integrated soil moisture fields. Results from this analysis corroborate spatial and temporal patterns found in previous studies on extreme drought events in the region, displaying the distinctive features of the 2005 and 2010 drought events.
CONFERENCE-ARTICLE 21 Reads 1 Citation <strong>Extreme drought events over Amazon basin: the perspective from regional reconstruction of South American hydrocl... Beatriz Garcia, Renata Libonati, Ana Nunes Published: 11 November 2017
First International Electronic Conference on the Hydrological Cycle, doi: 10.3390/CHyCle-2017-04885
DOI See at publisher website ABS Show/hide abstract

In less than two decades large areas of the Amazon Basin have experienced severe droughts, namely during 1998, 2005, 2010 and 2015. Due to their several social, economic and environmental impacts there is an increased demand in understanding the behavior of such extreme events in the region. In that regard, regional models instead of the general circulation models provide a promising strategy to generate more detailed climate information of extreme events, seeking better representation of physical processes. In such context, the Satellite-enhanced Regional Downscaling for Applied Studies (SRDAS) product has been used in the analysis of South American hydroclimate, with hourly to monthly outputs from January 1998 to near present. Accordingly, this research focuses on the analyses of recent extreme drought events in the years of 2005 and 2010 in the Amazon Basin, using the SRDAS monthly means of near-surface temperature and relative humidity, precipitation and four-level integrated soil moisture fields. Results from this analysis corroborate spatial and temporal patterns found in previous studies on extreme drought events in the region, displaying the distinctive features of the 2005 and 2010 drought events.

Article 0 Reads 0 Citations Climatic and synoptic characterization of heat waves in Brazil João L. Geirinhas, Ricardo M. Trigo, Renata Libonati, Caio A... Published: 19 September 2017
International Journal of Climatology, doi: 10.1002/joc.5294
DOI See at publisher website
Article 0 Reads 0 Citations Assigning dates and identifying areas affected by fires in Portugal based on MODIS data Jessica Panisset, Carlos C. Dacamara, Renata Libonati, Leona... Published: 01 September 2017
Anais da Academia Brasileira de Ciências, doi: 10.1590/0001-3765201720160707
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An automated procedure is here presented that allows identifying and dating burned areas in Portugal using values of daily reflectance from near-infrared and middle-infrared bands, as obtained from the MODIS instrument. The algorithm detects persistent changes in monthly composites of the so-called (V,W) Burn-Sensitive Index and the day of maximum change in daily time series of W is in turn identified as the day of the burning event. The procedure is tested for 2005, the second worst fire season ever recorded in Portugal. Comparison between the obtained burned area map and the reference derived from Landsat imagery resulted in a Proportion Correct of 95.6%. Despite being applied only to the months of August and September, the algorithm is able to identify almost two-thirds of all scars that have occurred during the entire year of 2005. An assessment of the temporal accuracy of the dating procedure was also conducted, showing that 75% of estimated dates presented deviations between -5 and 5 days from dates of hotspots derived from the MODIS instrument. Information about location and date of burning events as provided by the proposed procedure may be viewed as complementary to the currently available official maps based on end-of-season Landsat imagery. Key words: burned area; MODIS; Portugal; remote sensing
Article 0 Reads 6 Citations Contrasting patterns of the extreme drought episodes of 2005, 2010 and 2015 in the Amazon Basin Jéssica S. Panisset, Renata Libonati, Célia Marina P. Gouvei... Published: 08 August 2017
International Journal of Climatology, doi: 10.1002/joc.5224
DOI See at publisher website
Article 0 Reads 2 Citations A User-Oriented Simplification of the ($V,W$) Burn-Sensitive Vegetation Index System Carlos C. Dacamara, Renata Libonati, Sofia L. Ermida, Teresa... Published: 01 December 2016
IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2016.2614319
DOI See at publisher website
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