Geospatial drought severity analysis based on PERSIANN-CDR-estimated rainfall data for Odisha state in India (1983–2018)

Santos, Celso Augusto Guimarães; Neto, Reginaldo Moura Brasil; Nascimento, Thiago Victor Medeiros do; Silva, Richarde Marques da; Mishra, Manoranjan; Frade, Tatiane Gomes

doi:10.1016/j.scitotenv.2020.141258

Cited by 53 publications

(17 citation statements)

References 75 publications

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“…For example, the drought characterization performanc CHIRPS has been evaluated in China [27], Mekong River Basin [28], and the Braz Midwest [29]. PERSIANN-CDR's capability for drought monitoring has also been sessed in China [30,31], India [32], and Iran [30]. The works on evaluating MSWEP drought characterization have been limited because of the late release [16,30].…”

Section: Study Areamentioning

confidence: 99%

Assessment of Three Long-Term Satellite-Based Precipitation Estimates against Ground Observations for Drought Characterization in Northwestern China

Guo

Nzabarinda

et al. 2022

Remote Sensing

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Long-term satellite-based precipitation estimates (LSPE) play a significant role in climatological studies like drought monitoring. In this study, three popular LSPEs (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR), Rainfall Estimates from Rain Gauge and Satellite Observations (CHIRPS) and Multi-Source Weighted-Ensemble Precipitation (MSWEP)) were evaluated on a monthly scale using ground-based stations for capturing drought event characteristics over northwestern China from 1983 to 2013. To reflect dry or wet evolution, the Standardized Precipitation Index (SPI) was adopted, and the Run theory was used to identify drought events and their characteristics. The conventional statistical indices (relative bias (RB), correlation coefficient (CC), and root mean square error (RMSE)), as well as categorical indices (probability of detection (POD), false alarm ratio (FAR), and missing ratio (MISS)) are used to evaluate the capability of LSPEs in estimating precipitation and drought characteristics. We found that: (1) three LSPEs showed generally satisfactory performance in estimating precipitation and characterizing drought events. Although LSPEs have acceptable performance in identifying drought events with POD greater than 60%, they still have a high false alarm ratio (>27%) and a high missing ratio (>33%); (2) three LSPEs tended to overestimate drought severity, mainly because of an overestimation of drought duration; (3) the ability of CHIRPS to replicate the temporal evolution of precipitation and SPI values is limited; (4) in severe drought events, PERSIANN-CDR tends to overestimate precipitation, and drought severity, as well as drought area; (5) among the three LSPEs, MSWEP outperformed the other two in identifying drought events (POD > 66%) and characterizing drought features. Finally, we recommend MSWEP for drought monitoring studies due to its high accuracy in estimating drought characteristics over northwestern China. In drought monitoring applications, the overestimation of PERSIANN-CDR for drought peak value and area, as well as CHIRPS’s inferiority in capturing drought temporal evolution, must be considered.

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Section: Study Areamentioning

confidence: 99%

Assessment of Three Long-Term Satellite-Based Precipitation Estimates against Ground Observations for Drought Characterization in Northwestern China

Guo

Nzabarinda

et al. 2022

Remote Sensing

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“…Since the 1980s, extreme climate events in terms of floods and droughts have been frequently occurring in different parts of the world, causing disruption to food production and productivity (Shi et al, 2021). Santos et al (2021) evaluate the drought behavior in the Odisha region of India over the period 1983 to 2018 by using the standardized precipitation index (SPI) and the new drought severity (DS). They document that half of the mean annual rainfall was concentrated in just two months, and showed that the DS significantly increases in the drought time in both the medium term and long term and oddly in the areas with the highest rainfall levels in the region.…”

Section: Literature Reviewmentioning

confidence: 99%

Climate Change, Agricultural Production and Food Security in Sudan

MOHAMED

2022

Journal of Economics and Research

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This study investigates the nexus between climate change, agricultural production and food security in Sudan, utilizing time series data over the period 1970 to 2020. The study applies unit root tests with structural breaks and the bounds test for cointegration approach. The estimated models show that food security is directly negatively affected by climate change in terms of rainfall, although the effect of rainfall is positive on crop and livestock production. Energy use and GDP growth have positive effect on food security while food prices, exchange rate, food imports and foreign aid have negative effects. Increasing CO2 emissions affect food security positively directly and indirectly through their positive effect on GDP growth. However, the positive effect of energy use on food security is almost offset by a negative effect of energy use on GDP growth. Structural breaks accounted for by dummy variables have no effects on food security. Collectively, these findings indicate the complexity of interactions of climate change and economic factors as determinants of food security in Sudan. The study concludes that food security is affected by climate change as a long term phenomenon rather than by short run weather fluctuations.

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“…Drought has a negative impact on the agriculture, service sector, and production market. It also has a large impact on human health and ecosystems [4][5][6]. Drought impacts make it one of the most severe and damaging natural hazards [7].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Drought Risk Assessment Considering Resilience and Heterogeneous Vulnerability Factors: Lempa Transboundary River Basin in The Central American Dry Corridor

Khoshnazar

Corzo

Diaz

2021

JMSE

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Drought characterization and risk assessment are of great significance due to drought’s negative impact on human health, economy, and ecosystem. This paper investigates drought characterization and risk assessment in the Lempa River basin in Central America. We applied the Standardized Evapotranspiration Deficit Index (SEDI) for drought characterization and drought hazard index (DHI) calculation. Although SEDI’s applicability is theoretically proven, it has been rarely applied. Drought risk is generally derived from the interactions between drought hazard (DHI) and vulnerability (DVI) indices but neglects resilience’s inherent impact. Accordingly, we propose incorporating DHI, DVI, and drought resilience index (DREI) to calculate drought risk index (DRI). Since system factors are not equally vulnerable, i.e., they are heterogeneous, our methodology applies the Analytic Hierarchy Process (AHP) to find the weights of the selected factors for the DVI computation. Finally, we propose a geometric mean method for DRI calculation. Results show a rise in DHI during 2006–2010 that affected DRI. We depict the applicability of SEDI via its relationship with El Nino-La Nina and El Salvador’s cereal production. This research provides a systematic drought risk assessment approach that is useful for decision-makers to allocate resources more smartly or intervene in Drought Risk Reduction (DRR). This research is also useful for those interested in socioeconomic drought.

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Geospatial drought severity analysis based on PERSIANN-CDR-estimated rainfall data for Odisha state in India (1983–2018)

Cited by 53 publications

References 75 publications

Assessment of Three Long-Term Satellite-Based Precipitation Estimates against Ground Observations for Drought Characterization in Northwestern China

Assessment of Three Long-Term Satellite-Based Precipitation Estimates against Ground Observations for Drought Characterization in Northwestern China

Climate Change, Agricultural Production and Food Security in Sudan

Spatiotemporal Drought Risk Assessment Considering Resilience and Heterogeneous Vulnerability Factors: Lempa Transboundary River Basin in The Central American Dry Corridor

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