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Improved predictability of droughts over southern Africa using the standardized precipitation evapotranspiration index and ENSO

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Abstract

The provision of timely and reliable climate information on which to base management decisions remains a critical component in drought planning for southern Africa. In this observational study, we have not only proposed a forecasting scheme which caters for timeliness and reliability but improved relevance of the climate information by using a novel drought index called the standardised precipitation evapotranspiration index (SPEI), instead of the traditional precipitation only based index, the standardised precipitation index (SPI). The SPEI which includes temperature and other climatic factors in its construction has a more robust connection to ENSO than the SPI. Consequently, the developed ENSO-SPEI prediction scheme can provide quantitative information about the spatial extent and severity of predicted drought conditions in a way that reflects more closely the level of risk in the global warming context of the sub region. However, it is established that the ENSO significant regional impact is restricted only to the period December–March, implying a revisit to the traditional ENSO-based forecast scheme which essentially divides the rainfall season into the two periods, October to December and January to March. Although the prediction of ENSO events has increased with the refinement of numerical models, this work has demonstrated that the prediction of drought impacts related to ENSO is also a reality based only on observations. A large temporal lag is observed between the development of ENSO phenomena (typically in May of the previous year) and the identification of regional SPEI defined drought conditions. It has been shown that using the Southern Africa Regional Climate Outlook Forum’s (SARCOF) traditional 3-month averaged Nino 3.4 SST index (June to August) as a predictor does not have an added advantage over using only the May SST index values. In this regard, the extended lead time and improved skill demonstrated in this study could immensely benefit regional decision makers.

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References

  • Abramopoulos F, Rosenzweig C, Choudhury B (1988) Improved ground hydrology calculations for global climate models (GCMs): Soil water movement and evapotranspiration. J Climate 1:921–941

    Article  Google Scholar 

  • Adams HD, Guardiola-Claramonte M, Barron-Gafford GA, Villegas JC, Breshears DD, Zoug CB, Trocha PA, Huxman TE (2009) Temperature sensitivity of drought-induced tree mortality portends increased regional die-off under global-change-type drought. Proc Natl Acad Sci U S A 106:7063–7066

    Article  Google Scholar 

  • Agnew CT (1999) Using the SPI to identify drought. Drought Network News 12(1):6–12

    Google Scholar 

  • Beguería S, Vicente-Serrano SM, Angulo-Martínez M (2010) A multi-scalar global drought data set: the SPEIbase: a new gridded product for the analysis of drought variability and impacts. Bulletin of the American Meteorological Society 91:1351–1354

    Article  Google Scholar 

  • Boulard D, Pohl B, Cretat B, Vigaud N, Pham-Xuan T (2013) Downscaling large-scale climate variability using a regional climate model: the case of ENSO over Southern Africa. Clim Dyn 40:1141–1168

    Article  Google Scholar 

  • Breshears DD, Cobb NS, Rich PM, Price KP et al (2005) Regional vegetation die-off in response to global change-type drought. Proc Natl Acad Sci USA 102:15144–15148

    Article  Google Scholar 

  • Cai W, Cowan T (2008) Evidence of impacts from rising temperature on inflows to the Murray-Darling Basin. Geophys Res Lett 35, L07701. doi:10.1029/2008GL033390

    Article  Google Scholar 

  • Cane MA, Eshel G, Buckland RW (1994) Forecasting Zimbabwean Maize yields using eastern equatorial Pacific Sea Surface Temperatures. Nature 370:204–205

    Article  Google Scholar 

  • Cook KH (2004) Wet and dry spells within particularly wet and dry summers in the South African summer rainfall region. Clim Res 26:17–31

  • Dai A (2011) Drought under global warming: a review. Wiley Interdisciplinary Reviews: Climate Change 2:45–65

    Google Scholar 

  • D’Abreton PC, Lindesay JA (1993) Water vapour transport over southern Africa during wet and dry early and late summer months. Int J Climatol 13:151–170. doi:10.1002/joc.3370130203

  • Fauchereau N, Pohl B, Reason C, Rouault M, Richard Y (2009) Recurrent daily OLR patterns in the Southern Africa / Southwest Indian Ocean region, implications for South African rainfall and teleconnexions. Clim Dyn 32(4):575–591

  • Gerten D, Rost S, von Bloh W, Lucht W (2008) Causes of change in 20th century global river discharge. Geophys Res Lett 35: L20405Holloway, 1995;

  • Goddard L, Graham NE (1999) Importance of the Indian ocean for simulating rainfall anomalies over eastern and southern africa. J Geophys Res Atmos 104(D16):19,099–19,116. doi:10.1029/1999JD900326

  • Harris I, Jones PD, Osborn TJ, Lister DH (2014) CRU TS3.22: Climatic Research Unit (CRU) Time-Series (TS) Version 3.22 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901- Dec. 2013). doi:10.5285/18BE23F8-D252-482D-8AF9-5D6A2D40990C

  • Holloway A (1995) Southern Africa: Drought relief, drought rehabilitation. What about drought mitigation? Humanitarian Exchange Magazine 1995:5–7

    Google Scholar 

  • Hu Q, Willson GD (2000) Effects of temperature anomalies on the Palmer Drought Severity Index in the Central United States. Int J Climatol 20:1899–1911

    Article  Google Scholar 

  • Ibanez F, Fromentin J-M, Castel J (1993) Application of the cumulated function to the processing of chronological data in oceanography. Cr Acad Sci Paris (Sci. Vie) 316:745–748

  • IPCC AR5 (2013) Working Group I Contribution to the IPCC Fifth Assessment Report Climate Change 2013: The Physical Science Basis Summary for Policymakers. IPCC website. Retrieved December 2013

  • Jump AS, Hunt JM, Peñuelas J (2006) Rapid climate change−related growth decline at the southern range edge of Fagus sylvatica. Glob Change Biol 12:2163–2174

    Article  Google Scholar 

  • Landman WA, Beraki A (2012) Multi-model forecast skill for midsummer rainfall over southern Africa. Int J Climatol 32:303–314

    Article  Google Scholar 

  • Lanzante JR (1996) Resistant, robust and non-parametric techniques for the analysis of climate data: theory and examples, including applications to historical radiosonde station data. Int J Climatol 16:1197–1226, Lopes-Moreno and Viccente-Serrano, 2008

    Article  Google Scholar 

  • Lau N-C, Nath MJ (2004) Coupled GCM simulation of atmosphere–ocean variability associated with zonally asymmetric SST changes in the tropical Indian. Ocean J Clim 17:245–265

  • Lee T, McPhaden MJ (2010) Increasing intensity of El Niño in the central-equatorial Pacific. Geophys Res Lett 37, L14603. doi:10.1029/2010GL044007

    Google Scholar 

  • Lloyd-Hughes B, Saunders MA (2002) Seasonal prediction of European spring precipitation from El Nino–southern oscillation and local sea-surface temperatures. Int J Climatol 22:1–14

  • Lorenzo-Lacruz J, Vicente-Serrano SM, López-Moreno JI, Beguería S, García-Ruiz JM, Cuadrat JM (2010) The impact of droughts and water management on various hydrological systems in the headwaters of the Tagus River (central Spain). J Hydrol (Amst) 386:13–26, Lyon, 2009

    Article  Google Scholar 

  • Kane RP (2006) Relationship between QBOs of stratospheric winds, ENSO variability and other atmospheric parameters. Int J Climatol 12(5):435–447. doi:10.1002/joc.3370120503

  • Manatsa D, Mukwada G, Siziba E, Chinyanganya T (2010) Analysis of multidimensional aspects of agricultural droughts in Zimbabwe using the standardized precipitation index (SPI). Theoretical and Applied Climatology 102:287–305

    Article  Google Scholar 

  • Manatsa D, Unganai L, Gadzirai C (2012) An innovative tailored Seasonal Rainfall forecasting production in Zimbabwe. Journal of Natural Hazards. doi:10.1007/s11069-012-0286-2

    Google Scholar 

  • Mason SJ, Tyson PD (2000) The occurrence and predictability of droughts over southern Africa. Drought: a global assessment, Routledge Hazards and Disasters Series (UK), 1:113–134

  • McEvoy D, Huntington J, Abatzoghou J, Edward L (2012) An evaluation of multiscalar drought indices in Nevada and Eastern California. Earth Interact 16:1–18

    Article  Google Scholar 

  • McGregor, H. V., M. J. Fischer, M. K. Gagan,, D. Fink,, S. J. Phipps,, H. Wong, & C. D. Woodroffe, A weak El Niño/Southern Oscillation with delayed seasonal growth around 4,300 years ago. Nature Geoscience 6, 949–953 (2013)doi:10.1038/ngeo1936

  • McKee, T. B., Doesken, N. J., & Kleist, J. (1995). Drought monitoring with multiple time scales. In Preprints, ninth conference on applied climatology, American meteorological society, Dallas, TX,233–236.

  • Meadows M (2006) Global change and Southern Africa. Geogr Res 44(2):135–145

    Article  Google Scholar 

  • Meque A, Abiodun BJ (2014) Simulating the link between ENSO and summer drought in Southern Africa using regional models. Clim Dyn Doi. doi:10.1007/s00382-014-2143-3

    Google Scholar 

  • Ratnam JV, Behera SK, Masumoto Y, Yamagata T (2014) Remote effects of El Niño and Modoki events on the austral summer precipitation of Southern Africa. J Clim 27:3802–3815

  • Reason CJC, Allan R, Lindesay J, Ansell T (2000) ENSO and climatic signals across the Indian ocean basin in the global context: part I, interannual composite patterns. Int J Climatol 20(11):1285–1327. doi:10.1002/1097-0088(200009)20:113.0.CO;2-R

  • Richard Y, Trzaska S, Roucou P, Rouault M (2000) Modification of Southern African rainfall variability/ENSO relationship since the late 1960s. Clim Dyn 16:883–895

    Article  Google Scholar 

  • Richard Y, Fauchereau N, Poccard I, Rouault M, Trzaska S (2001) XXth century droughts in southern Africa spatial and temporal variability, teleconnections with oceanic and atmospheric conditions. Int J Climatol 21:873–885

    Article  Google Scholar 

  • Rouault M, Richard Y (2005) Intensity and spatial extent of droughts in southern Africa. Geophys Res Lett 32, L15702

    Article  Google Scholar 

  • Saji NH, Goswami BN, Vinayachandran PN, Yamagata T (1999) A dipole mode in the tropical Indian Ocean. Nature 401:360–363

  • Shinoda T, Alexander MA, Hendon HH (2004) Remote response of the Indian Ocean to interannual SST variations in the tropical Pacific. J Clim 17:362–372

  • Shongwe ME, van Oldenborgh GJ, van den Hurk BJJM, de Boer B, Coelho CAS, van Aalst MK (2009) Projected changes in mean and extreme precipitation in Africa under global warming. Part I: Southern Africa. J Climate 22:3819–3837

    Article  Google Scholar 

  • Tyson PD, Preston-Whyte RA (2000) The weather and climate of southern Africa. Oxford University Press Southern Africa, Cape Town

    Google Scholar 

  • Unganai LS, Troni L, Manatsa D, Mukarakate D (2013). Tailoring seasonal climate forecasts for climate risk management in rainfed farming systems of southeast Zimbabwe. Journal of Climate and Development. Doi 10.1080/17565529.2013.801823

  • Vicente-Serrano SM, Beguería S, López-Moreno JI (2010) A Multi-scalar drought index sensitive to global warming: the Standardized Precipitation Evapotranspiration Index—SPEI. Journal of Climate 23:1696–1718

    Article  Google Scholar 

  • Vicente-Serrano SM, Beguería S, Lorenzo-Lacruz J, Camarero JJ, López-Moreno JI, Azorin-Molina C, Revuelto J, Morán-Tejeda E, Sánchez-Lorenzo A (2012) Performance of drought indices for ecological, agricultural and hydrological applications. Earth Interactions 16:1–27

    Article  Google Scholar 

  • Vicente‐Serrano SM, López‐Moreno JI, Gimeno L, Nieto R, Morán‐Tejeda E, Lorenzo‐Lacruz J, Beguería S, Azorin‐Molina C (2011) A multiscalar global evaluation of the impact of ENSO on droughts. J Geophys Res 116, D20109. doi:10.1029/2011JD016039

    Article  Google Scholar 

  • Wolter K, Timlin MS (2011) El Nino/Southern Oscillation behavior since 1871 as diagnosed in an extended multivariate ENSO index (MEI.ext). Int J Climatol 31:1074–1087

    Article  Google Scholar 

  • Yeh S-W, Kug J-S, Dewitte B, Kwon M-H, Kirtman BP, Jin F-F (2009) El Niño in a changing climate. Nature 461:511–515

    Article  Google Scholar 

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Authors and Affiliations

  1. Geography Department, Faculty of Science, Bindura University of Science, Bindura, Zimbabwe

    Desmond Manatsa & Terrence Mushore

  2. Department of Physics, Faculty of Science, University of Douala, Douala, Cameroon

    Andre Lenouo

  3. Department of Earth Systems Physics, International Centre for Theoretical Physics (ICTP), 34151, Trieste, Italy

    Desmond Manatsa & Andre Lenouo

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  1. Desmond Manatsa
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  2. Terrence Mushore
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  3. Andre Lenouo
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Correspondence to Desmond Manatsa.

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Manatsa, D., Mushore, T. & Lenouo, A. Improved predictability of droughts over southern Africa using the standardized precipitation evapotranspiration index and ENSO. Theor Appl Climatol 127, 259–274 (2017). https://doi.org/10.1007/s00704-015-1632-6

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  • DOI: https://doi.org/10.1007/s00704-015-1632-6

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