Climatic characteristics of the 2010-2016 drought in the semiarid Northeast Brazil region

Marengo, José A.; Alves, Lincoln M.; Alvalá, Regina Célia dos Santos; Cunha, Ana Paula; Brito, Sheila; Moraes, Osvaldo L. L.

doi:10.1590/0001-3765201720170206

Cited by 346 publications

(309 citation statements)

References 36 publications

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“…Visual analysis shows the major severe droughts that impacted the region, namely, 1982–1983, 1992–1993, 1997–1998, 2007–2008, and 2012–2016 (gray‐shaded areas of the right panel of Figure ). Among those events, the large drought of 2012–2016, considered to be the largest drought, both in magnitude and duration, of the last three decades (Getirana, ; Brito et al, ; Marengo et al, , ). The right panel of Figure shows the time evolution of the peak values of relative frequency over the period of analysis, indicating a significant trend toward intensification in magnitude and duration of droughts along the period 1982–2016.…”

Section: Resultsmentioning

confidence: 99%

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Changes in the spatial–temporal patterns of droughts in the Brazilian Northeast

Cunha

Tomasella

Neto

et al. 2018

Atmospheric Science Letters

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In Northeast Brazil (NEB), severe droughts have high socioeconomic impacts. In this study, the spatial–temporal characteristics of drought were evaluated based on a new drought index at 4‐km spatial resolution, derived from regional empirical relationships between a remote sensing‐based index and rain‐gauge‐based standardized precipitation index (SPI), a well‐known drought meteorological index. This index was used to compare the spatial pattern of severe drought events (1982–1983, 1992–1993, 1997–1998, and 2012–2013) of the last 30 years. Strong El Niño related droughts were found to be generally spatially limited, affecting around 30% of NEB and concentrated in the northern part of the region, while 2012 drought, which was not El Niño related, was widespread, reaching 46% of NEB. These results stressed the importance of analyzing droughts at the subregion scale using data with higher spatial resolution. Statistically significant trends (p < 0.05) toward drier conditions detected in the SPI time‐series were linked to the tropical Atlantic Ocean warming trend, which result in an increased drought risk and social vulnerability in the region.

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Section: Resultsmentioning

confidence: 99%

“…Since climate variability in NEB is related to sea surface temperature (SST) variations, both in the Pacific and Atlantic oceans (Kayano and Capistrano, 2014;Rodrigues and Mcphaden, 2014;Marengo et al, 2017aMarengo et al, , 2017b, we compared the recent trends observed in drought maps against the time evolution of tropical SST indices.…”

Section: Introductionmentioning

confidence: 99%

Changes in the spatial–temporal patterns of droughts in the Brazilian Northeast

Cunha

Tomasella

Neto

et al. 2018

Atmospheric Science Letters

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“…In 2015, there was a strong "El Niño" effect across the Amazon region [46], which contributed to reduced precipitation and increased temperatures. In the study region, the 2015 annual average temperature was 27.5 • C, 0.9 degrees warmer than the climatological norm based on 30 years of data [47]. The maximum and minimum absolute temperatures were also found to be higher in 2015, and the dry period (precipitation < 100 mm) extended for 6 months (July to December), compared to the usual 3-month period (September to November).…”

Section: Regeneration Dynamics Of Mora Paraensismentioning

confidence: 62%

Natural Regeneration Dynamics of Mora paraensis (Ducke) Ducke in Estuarine Floodplain Forests of the Amazon River

Miranda

Guedes

Batista

et al. 2018

Forests

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Abstract:The aim of this study was to evaluate the natural regeneration dynamics of Mora paraensis in floodplain forests in three regions of the eastern Amazon, and specifically, to explore the relationship between the abundance of regenerating trees and canopy openness. Tree height and circumference of all individuals of height >50 cm and diameter at breast height (DBH) <5 cm were measured in 2012, 2013 and 2015. A matrix of transitions was created and the natural regeneration (RR), demographic and dynamic rates were calculated. Hemispherical photos were used to measure canopy openness. There was no difference in the density of regenerating trees between the three study regions (mean = 2.957 ind. ha −1 ). The abundance of regenerating trees was highest in 2013, when 5614 individuals were inventoried, and as such the RR 2012-2013 was positive in all three regions (mean = 7.9%). Between 2013 and 2015, the RR was negative and above 50% in all regions. Canopy openness had no significant effect on the abundance of regenerating trees. The abundance of regenerating trees of M. paraensis was high in estuarine floodplain forests of the Amazon River, but the regeneration dynamics varied between years with more favourable years alternating with periods of high mortality and negative regeneration.

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“…This drought event has been studied by many authors. The year 2012 was identified as the most severe for the period, followed by the biennial 2015-2017 [7,31,36,42]. Brito et al [43] highlighted the intensity of the droughts during the period of 1981 to 2016, including its severity, frequency, and duration, and considering hydrometeorological and agricultural aspects.…”

Section: Discussionmentioning

confidence: 99%

Use of SMOS L3 Soil Moisture Data: Validation and Drought Assessment for Pernambuco State, Northeast Brazil

et al. 2018

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Abstract:The goal of this study was to validate soil moisture data from Soil Moisture Ocean Salinity (SMOS) using two in situ databases for Pernambuco State, located in Northeast Brazil. The validation process involved two approaches, pixel-station comparison and areal average, for three regions in Pernambuco with different climatic characteristics. After validation, the SMOS data were used for drought assessment by calculating soil moisture anomalies for the available period of data. Four statistical criteria were used to verify the quality of the satellite data: Pearson correlation coefficient, Willmott index of agreement, BIAS, and root mean squared difference (RMSD). The average RMSD calculated from the daily time series in the pixel and the areal assessment were 0.071 m 3 ·m −3 and 0.04 m 3 ·m −3 , respectively. Those values are near to the expected 0.04 m 3 ·m −3 accuracy of the SMOS mission. The analysis of soil moisture anomalies enabled the assessment of the dry period between 2012 and 2017 and the identification of regions most impacted by the drought. The driest year for all regions was 2012, when the anomaly values achieved −50% in some regions. The use of SMOS data provided additional information that was used in conjunction with the precipitation data to assess drought periods. This may be particularly relevant for planning in agriculture and supporting decision makers and farmers.

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Climatic characteristics of the 2010-2016 drought in the semiarid Northeast Brazil region

Cited by 346 publications

References 36 publications

Changes in the spatial–temporal patterns of droughts in the Brazilian Northeast

Changes in the spatial–temporal patterns of droughts in the Brazilian Northeast

Natural Regeneration Dynamics of Mora paraensis (Ducke) Ducke in Estuarine Floodplain Forests of the Amazon River

Use of SMOS L3 Soil Moisture Data: Validation and Drought Assessment for Pernambuco State, Northeast Brazil

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