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Article

Spatiotemporal Characteristics and Trend Analysis of Two Evapotranspiration-Based Drought Products and Their Mechanisms in Sub-Saharan Africa

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Binjiang College, Nanjing University of Information Science & Technology, No.333 Xishan Road, Wuxi 214105, China
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Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China
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Jiangsu Meteorological Bureau, Meteorological Services Center, Nanjing 210008, China
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School of Geosciences, Department of Geographic Sciences, University of Energy and Natural Resources, P.O. Box 214 Sunyani, Ghana
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College of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
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Key Lab of Northwest Water Resources, Environment and Ecology, School of Environmental and Municipal Engineering, Xi’an University of Architecture and Technology, No.13 Yanta Road, Xi’an 710055, China
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Author to whom correspondence should be addressed.
Academic Editors: Josep Peñuelas and Corene Matyas
Remote Sens. 2021, 13(3), 533; https://doi.org/10.3390/rs13030533
Received: 23 December 2020 / Revised: 23 January 2021 / Accepted: 29 January 2021 / Published: 2 February 2021
(This article belongs to the Special Issue Satellite Remote Sensing for Tropical Meteorology and Climatology)
Drought severity still remains a serious concern across Sub-Saharan Africa (SSA) due to its destructive impact on multiple sectors of society. In this study, the interannual variability and trends in the changes of the self-calibrating Palmer Drought Severity Index (scPDSI) based on the Penman–Monteith (scPDSIPM) and Thornthwaite (scPDSITH) methods for measuring potential evapotranspiration (PET), precipitation (P), normalized difference vegetation index (NDVI), and sea surface temperature (SST) anomalies were investigated through statistical analysis of modeled and remote sensing data. It was shown that scPDSIPM and scPDSITH differed in the representation of drought characteristics over SSA. The regional trend magnitudes of scPDSI in SSA were 0.69 (scPDSIPM) and 0.2 mm/decade (scPDSITH), with a difference in values attributed to the choice of PET measuring method used. The scPDSI and remotely sensed-based anomalies of P and NDVI showed wetting and drying trends over the period 1980–2012 with coefficients of trend magnitudes of 0.12 mm/decade (0.002 mm/decade). The trend analysis showed increased drought events in the semi-arid and arid regions of SSA over the same period. A correlation analysis revealed a strong relationship between the choice of PET measuring method and both P and NDVI anomalies for monsoon and pre-monsoon seasons. The correlation analysis of the choice of PET measuring method with SST anomalies indicated significant positive and negative relationships. This study has demonstrated the applicability of multiple data sources for drought assessment and provides useful information for regional drought predictability and mitigation strategies. View Full-Text
Keywords: droughts; NDVI; CHIRPS; precipitation anomalies; potential evapotranspiration (PET); self-calibrating Palmer Drought Severity Index; sub-Saharan Africa droughts; NDVI; CHIRPS; precipitation anomalies; potential evapotranspiration (PET); self-calibrating Palmer Drought Severity Index; sub-Saharan Africa
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MDPI and ACS Style

Nooni, I.K.; Hagan, D.F.T.; Wang, G.; Ullah, W.; Li, S.; Lu, J.; Bhatti, A.S.; Shi, X.; Lou, D.; Prempeh, N.A.; Lim Kam Sian, K.T.C.; Dzakpasu, M.; Amankwah, S.O.Y.; Zhu, C. Spatiotemporal Characteristics and Trend Analysis of Two Evapotranspiration-Based Drought Products and Their Mechanisms in Sub-Saharan Africa. Remote Sens. 2021, 13, 533. https://doi.org/10.3390/rs13030533

AMA Style

Nooni IK, Hagan DFT, Wang G, Ullah W, Li S, Lu J, Bhatti AS, Shi X, Lou D, Prempeh NA, Lim Kam Sian KTC, Dzakpasu M, Amankwah SOY, Zhu C. Spatiotemporal Characteristics and Trend Analysis of Two Evapotranspiration-Based Drought Products and Their Mechanisms in Sub-Saharan Africa. Remote Sensing. 2021; 13(3):533. https://doi.org/10.3390/rs13030533

Chicago/Turabian Style

Nooni, Isaac K., Daniel F.T. Hagan, Guojie Wang, Waheed Ullah, Shijie Li, Jiao Lu, Asher S. Bhatti, Xiao Shi, Dan Lou, Nana A. Prempeh, Kenny T.C. Lim Kam Sian, Mawuli Dzakpasu, Solomon O.Y. Amankwah, and Chenxia Zhu. 2021. "Spatiotemporal Characteristics and Trend Analysis of Two Evapotranspiration-Based Drought Products and Their Mechanisms in Sub-Saharan Africa" Remote Sensing 13, no. 3: 533. https://doi.org/10.3390/rs13030533

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