Characterization of risk/exposure to climate extremes for the Brazilian Northeast—case study: Rio Grande do Norte

Silva, Bruce Kelly N.; Lúcio, Paulo Sérgio

doi:10.1007/s00704-014-1275-z

Cited by 18 publications

(14 citation statements)

References 14 publications

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“…This method has recently been used to investigate various precipitation characteristics. Silva and Lucio (2015) constructed a drought risk/exposure index using PCD and PCP in northeastern Brazil, while Simões et al (2018) developed a new method of rainfall regionalization by studying PCP and PCD in Bahia State in eastern Brazil. Zhang and Qian (2004) found that PCD and PCP can reveal temporal nonuniformity in precipitation, which can be used to detect mechanisms responsible for droughts and floods.…”

Section: Concentration Degree and Concentration Periodmentioning

confidence: 99%

“…At present, many approaches have been applied to evaluate the rainfall seasonality all over the world (Roffe et al ., 2019; Zhang et al ., 2019). For example, Zhang and Qian (2003) used vector theory to illustrate the concentration degree and concentration period of precipitation; this approach has been widely utilized to analyse precipitation characteristics in other continents (Yeşilırmak and Atatanır, 2016; Silva and Lucio (2015); Wang et al ., 2014). Previous studies of concentration degree primarily focused on seasonal variation in precipitation.…”

Section: Introductionmentioning

confidence: 99%

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Nonuniform variations of precipitation and temperature across China over the period 1960–2015

Zhao

Gao

2020

Intl Journal of Climatology

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Warm season rainfall" is an important feature of China's climate, dominated by the East Asian Monsoon. In the context of climate change, this seasonal connection between precipitation and temperature may be altered. However, few studies have investigated the nonuniform variations in precipitation and temperature. This study examines nonuniform variations between precipitation and temperature in China, based on four indicators: precipitation concentration degree (PCD), precipitation concentration period (PCP), temperature concentration degree (TCD) and temperature concentration period (TCP). The results suggest that PCD and TCD experienced decreasing trends during the period from 1960 to 2015, respectively. Spatially, PCD and TCD exhibited asymmetrical change, with half of all stations in the humid subtropical region showing increasing trends in PCD and decreasing trends in TCD. Meanwhile, PCP and TCP exhibited decreasing trends, respectively. Increasing trends in PCP and decreasing trends in TCP, were found in 27% of all stations, mainly in the eastern humid subtropical region, whereas 20% showed decreasing trends in PCP and increasing trends in TCP, mostly across the southern humid subtropical, northern temperate humid/semi-humid and temperate semi-arid regions. In general, precipitation and temperature showed a nonuniform variation, indicating that annual feature of precipitation and temperature are changing.

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Section: Concentration Degree and Concentration Periodmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Nonuniform variations of precipitation and temperature across China over the period 1960–2015

Zhao

Gao

2020

Intl Journal of Climatology

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“…Several studies indicate that the risk of natural disasters related to excess or lack of water (flash floods and severe droughts) will continue increasing in NE until the end of the century (Marengo and Bernasconi, 2015; Debortoli et al ., 2017). Recently various studies addressed drought in NE Brazil on both regional (Erfanian et al ., 2017; Brito et al ., 2018; Pontes Filho et al ., 2020) and local, state‐level (Silva and Lucio, 2015; Lyra et al ., 2017; Santos et al ., 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Severity Index (PDSI) (Palmer, 1968), Standardized Precipitation Index (SPI) (McKee et al, 1993), Standardized Precipitation Evapotranspiration Index (SPEI) (Vicente-Serrano et al, 2010), and Standardized Runoff Index (SRI) (Shukla and Wood, 2008). Among them, the SPI stands out because its calculation only requires rainfall as an input variable, it can be used to analyse different categories of both wet and dry conditions at multiple timescales and makes a possible comparison between different regions with different climatic conditions (Svoboda et al, 2012).…”

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confidence: 99%

Fisher Shannon analysis of drought/wetness episodes along a rainfall gradient in Northeast Brazil

Silva

Menezes

Telesca

et al. 2020

Intl Journal of Climatology

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We applied the informational approach of the Fisher-Shannon method to study the time series of Standardized Precipitation Index (SPI) derived from monthly rainfall data at 133 gauging stations in Northeast (NE) Brazil. The climate in the study region ranges from tropical humid in the coastal area Zona de Mata to tropical semiarid inland Sertão, passing through a sub-humid transition region Agreste. The time span is from 1962 to 2012, and SPI was calculated for 1, 3, 6, and 12-month time scales. We calculate information quantifiers Shannon entropy power (SEP) and Fisher information measure (FIM) that quantify signal disorder and structural organization, respectively, and define its position in the Fisher Shannon plane (FS). We find that the SPI-1 series that describes short term dry/wet conditions display a higher degree of organization (higher FIM) and a lower degree of disorder (lower SEP) than SPI's that describe medium and long term conditions (SPI-3, SPI-6, and SPI-12). By analysing the spatial distribution of information quantifiers, we find that short term dry/wet conditions (SPI-1) show the lowest disorder and highest organization degree in the deep inland Sertão region and highest disorder and lowest organization degree in the coastal Zona de Mata region, while long term conditions (SPI-12) show the opposite trend. For medium-term conditions (SPI-3 and SPI-6), the SEP is highest and FIM lowest in the transition sub-humid Agreste region. Our findings indicate that information theory-based methods, particularly FS have the potential to discriminate among different climatic regimes.

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“…By using composite vector, they are more suitable to show the concentration and the barycenter date of rainfall and their comprehensive effects. Thus, PCD and PCP became widely used in China (Zhang and Qian, 2004;Bai and Liu, 2010;Wang et al, 2013;Kong et al, 2015) and may also be suitable for other places (Silva and Lucio, 2015). The characteristics of PCD and PCP depend on the diverse distribution patterns of precipitation, and differ significantly across China.…”

Section: Introductionmentioning

confidence: 99%

Variation of precipitation concentration from 1960 to 2014 in the Middle and Lower reaches of the Yangtze River Basin, China

Zhao¹,

Wang²,

Zhao³

et al. 2016

CIG

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Characterization of risk/exposure to climate extremes for the Brazilian Northeast—case study: Rio Grande do Norte

Cited by 18 publications

References 14 publications

Nonuniform variations of precipitation and temperature across China over the period 1960–2015

Nonuniform variations of precipitation and temperature across China over the period 1960–2015

Fisher Shannon analysis of drought/wetness episodes along a rainfall gradient in Northeast Brazil

Variation of precipitation concentration from 1960 to 2014 in the Middle and Lower reaches of the Yangtze River Basin, China

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