Understanding the Evolution and Socio-Economic Impacts of the Extreme Rainfall Events in March-May 2017 to 2020 in East Africa — Oak Academic Publishing
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Understanding the Evolution and Socio-Economic Impacts of the Extreme Rainfall Events in March-May 2017 to 2020 in East Africa
Tanzania Meteorological Authority, Dar es Salaam, Tanzania
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Tanzania Meteorological Authority, Dar es Salaam, Tanzania
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Tanzania Meteorological Authority, Dar es Salaam, Tanzania
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Kenya Meteorological Department, Nairobi, Kenya
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Uganda National Meteorological Authority, Kampala, Uganda
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Uganda National Meteorological Authority, Kampala, Uganda
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Tanzania Meteorological Authority, Dar es Salaam, Tanzania
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Tanzania Meteorological Authority, Dar es Salaam, Tanzania
,
Tanzania Meteorological Authority, Dar es Salaam, Tanzania
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Tanzania Meteorological Authority, Dar es Salaam, Tanzania
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Rwanda Meteorology Agency, Kigali, Rwanda
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Rwanda Meteorology Agency, Kigali, Rwanda
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Rwanda Meteorology Agency, Kigali, Rwanda
1 Tanzania Meteorological Authority, Dar es Salaam, Tanzania
2 Tanzania Meteorological Authority, Dar es Salaam, Tanzania
3 Tanzania Meteorological Authority, Dar es Salaam, Tanzania
4 Kenya Meteorological Department, Nairobi, Kenya
5 Uganda National Meteorological Authority, Kampala, Uganda
6 Uganda National Meteorological Authority, Kampala, Uganda
7 Tanzania Meteorological Authority, Dar es Salaam, Tanzania
8 Tanzania Meteorological Authority, Dar es Salaam, Tanzania
9 Tanzania Meteorological Authority, Dar es Salaam, Tanzania
10 Tanzania Meteorological Authority, Dar es Salaam, Tanzania
This study aimed at assessing the evolution, distribution and the socio-economic impacts of extreme rainfall over East Africa during the March, April and May (MAM) rainfall season focusing on assessing the trends and contribution of MAM rainfall in mean annual rainfall across the region. It employed Principal Component Analysis (PCA) methods to capture the patterns and variability of MAM rainfall. The PCA results indicated that the first Principal Component (PC) describe 17% of the total variance, while the first six PCs account only 53.5% of the total variance in MAM rainfall, underscoring the complexity of rainfall forcing factors in the region. It has been observed that MAM rainfall accounts about 30% - 60% of the mean annual rainfall in most parts of the region, signifying its importance in agriculture, water, energy and other socio-economic sectors. MAM has been characterized by increasing variability with varying trend patterns across the region. The MAM rainfall trend is not homogeneous across the region; some areas are experiencing a slight decreasing rainfall trend, while other areas are experiencing a slight increasing rainfall trend. The observed trend dynamics is consistent with the global trend patterns in precipitation as depicted in recent Intergovernmental Panel on Climate Change (IPCC) reports. Over the last five years MAM rainfall season have been characterized by record-breaking extremes. On 8th May 2017, Tanga and Mombasa meteorological stations recorded 316 mm and 235.1 mm of rainfall in 24 hours respectively, which are the highest amounts for these respective stations, since their establishment. Record highest 24 hours rainfall amounting to 134.9 mm and 119.4 mm were also observed at Buginyanya and Kawanda meteorological stations in Uganda on 18th March 2018 and 7 th May 2020. On 6 th May 2020, Byimana meteorological station in Rwanda, also observed 140.6 mm of rainfall in 24 hours, the highest since its establishment. These extremes have caused multiple losses of life and property, and severe damages to infrastructure. Unfortunately, the frequency and intensity of these extremes are projected to increase under a changing regional climate patterns. It is therefore important that more studies are carried out to enhance understanding about the evolution, dynamics and predictability of these extremes in East Africa region.
IPCC (2018) Summary for Policymakers. In: Masson Delmotte, V., Zhai, P., Portner, H.O., Roberts, D.C., Skea, J., Shukla, P.R., Pirani, A., Mouffouma-Okia, W., Pean, C., Pidcock, R., Connors, S., Matthews, J.B.R., Chen, Y., Zhou, X., Gomis, M.I., Lonnoy, E., Maycock, T., Tignor, M. and Waterfield, T., Eds., Global Warming of 1.50 °C. An IPCC Special Report on the Impacts of Global Warming of 1.50 °C above Pre-Industrial Levels and Related Global Greenhouse Gas Emission Pathways, in the Context of Strengthening the Global Response to the Threat of Climate Change, Sustainable Development, and Efforts to Eradicate Poverty, World Meteorological Organization, Geneva, 32 p.
IPCC (2019) Summary for Policymakers. In: Shukla, P.R., Skea, J., Calvo Buendia, E., Masson Delmotte, V., Portner, H.O., Roberts, D.C., Zhai, P., Slade, R., Connors, S., van Diemen, R., Ferrart, M., Haughey, E., Luz, S., Neogi, S., Pathak, M., Petzold, J., Portugal Pereira, J., Vyas, P., Huntley, E., Kissick, K., Belkacemi, M. and Malley, J., Eds., Climate Change and Land: An IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems, Cambridge University Press, Cambridge, p. 36. (In Press)
IPCC (2019) Summary for Policymakers. In: Portner, H.O., Roberts, D.C., Masson Delmotte, V., Zhai, P., Tignor, M., Poloczanska, E., Mintenbeck, K., Alegria, A., Nicolai, M., Okem, A., Petzold, J., Rama, B. and Weyer, N.M., Eds., IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, Cambridge University Press, Cambridge, p. 35. (In Press)
Anande, D. and Luhunga, P. (2019) Assessment of Socio-Economic Impacts of the December 2011 Flood Event in Dar es Salaam, Tanzania. Atmospheric and Climate Sciences, 9, 421-437. https://doi.org/10.4236/acs.2019.93029
Chang’a, L., Kijazi, A., Mafuru, K., Kondowe, A., Osima, S., Mtongori, H., Ng’ongolo, H., Juma, O. and Michael, E. (2020) Assessment of the Evolution and Socio-Economic Impacts of Extreme Rainfall Events in October 2019 over the East Africa. Atmospheric and Climate Sciences, 10, 319-338. https://doi.org/10.4236/acs.2020.103018
Chang’a, L., Kijazi, A., Luhunga, P., Ng’ongolo, H. and Mtongori, H. (2017) Spatial and Temporal Analysis of Rainfall and Temperature Extreme Indices in Tanzania. Atmospheric and Climate Sciences, 7, 525-539. https://doi.org/10.4236/acs.2017.74038
Chang’a, L.B., Pius, Z.Y. and James, N. (2010) Spatial and Temporal Analysis of Recent Climatological Data in Tanzania. Journal of Geography and Regional Planning, 3, 44-65.
World Meteorological Organization (2020) WMO Statement on the State of Global Climate in 2019. WMO, Geneva.
Nicholson, S.E. (2017) Climate and Climatic Variability of Rainfall over Eastern Africa. Reviews of Geophysics, 55, 590-635. https://doi.org/10.1002/2016RG000544
Mafuru Biseke, K. and Tan, G. (2019) The Influence of ENSO on the Upper Warm Temperature Anomaly Formation Associated with the March-May Heavy Rainfall Events in Tanzania. International Journal of Climatology, 40, 2745-2763. https://doi.org/10.1002/joc.6364
Allan, R., Reason, C., Lindesay, J. and Ansell, T. (2003) Protracted ENSO Episodes and Their Impacts in the Indian Ocean Region. Deep Sea Research Part II: Topical Studies in Oceanography, 50, 2331-2347. https://doi.org/10.1016/S0967-0645(03)00059-6
Karumuri, A., Guan, Z.Y. and Yamagata, T. (2001) Impact of the Indian Ocean Dipole on the Relationship between the Indian Monsoon and ENSO. Journal of Geographical Research, 28, 4499-4502. https://doi.org/10.1029/2001GL013294
Swadhil, B. and Toshio, Y. (2001) Subtropical SST Dipole in the Southern Indian Ocean. Journal of Geographical Research Letters, 28, 327-330. https://doi.org/10.1029/2000GL011451
Kijazi, A.L. and Reason, C.J.C. (2005) Relationship between Intra-Seasonal Rainfall Variability of Coastal Tanzania and ENSO. Theoretical and Applied Climatology, 82, 153-176. https://doi.org/10.1007/s00704-005-0129-0
Kijazi, A.L. and Reason, C.J.C. (2009) Analysis of the 2006 Floods over Northern Tanzania. International Journal of Climatology, 29, 955-970. https://doi.org/10.1002/joc.1846
Mapande, A.T. and Reason, C.J.C. (2005) Links between Rainfall Variability on Intra-Seasonal and Inter-Annual Scales over Western Tanzania and Regional Circulation and SST Patterns. Meteorology and Atmospheric Physics, 89, 215-234. https://doi.org/10.1007/s00703-005-0130-2
Saji, N.H., Goswami, B.N., Vinayachandran, P.N. and Yamagata, T. (1999) A Dipole Mode in the Tropical Indian Ocean. Nature, 401, 360-363. https://doi.org/10.1038/43854
Saji, N.H. and Yamagata, T. (2003) Structure of SST and Surface Wind Variability during Indian Ocean Dipole Mode Events: COADS Observations. Journal of Climate, 16, 2735-2751. https://doi.org/10.1175/1520-0442(2003)016 2.0.CO;2
Ogallo, L.A. (1989) The Spatial and Temporal Patterns of East African Seasonal Rainfall Derived from Principal Component Analysis. International Journal of Climatology, 9, 145-167. https://doi.org/10.1002/joc.3370090204
Chris, F., Pete, P., Martin, L., Diego, P., Vewland, J., et al. (2015) The Climate Hazards Infrared Precipitation with Stations—A New Environmental Record for Monitoring Extremes. Scientific Data, 2, Article ID: 150066. https://doi.org/10.1038/sdata.2015.66
Smith, T.M., Reynolds, R.W., Peterson, T.C. and Lawrimore, J. (2008) Improvements to NOAA’s Historical Merged Land-Ocean Surface Temperature Analysis (1880-2006). Journal of Climate, 21, 2283-2296. https://doi.org/10.1175/2007JCLI2100.1
Roundy, P.E. (2015) On the Interpretation of EOF Analysis of ENSO, Atmospheric Kelvin Waves, and the MJO. Journal of Climate, 28, 1148-1165. https://doi.org/10.1175/JCLI-D-14-00398.1
Mann, H.B. (1945) Non-Parametric Test against Trend. Econometrica, 13, 245-259. https://doi.org/10.2307/1907187
Mosmann, V., Castro, A., Fraile, R., Dessens, J. and Sanches, J. (2004) Detection of Statistically Significant Trends in the Summer Precipitation of Mainland Spain. Atmospheric Research, 70, 43-53. https://doi.org/10.1016/j.atmosres.2003.11.002
Moraes, J.M., Pellegrino, H.Q. and Ballester, M.V. (1998) Trends in Hydrological Parameters of Southern Brazilian Water Shed and Its Relation to Human Induced Changes. Water Resources Management, 12, 295-311. https://doi.org/10.1023/A:1008048212420
Mafuru, K.B. and Guirong, T. (2018) Assessing Prone Areas to Heavy Rainfall and the Impaction of the Upper Warm Temperature Anomaly during March-May Rainfall Season in Tanzania. Advances in Meteorology, 2018, Article ID: 8353296. https://doi.org/10.1155/2018/8353296
World Bank (2019) The Role of Poverty in Exposure, Vulnerability and Resilience to Floods in Dar es Salaam. Policy Research Working Paper 8976.