Future Changes in Precipitation Extremes over East Africa Based on CMIP6 Models

MDPI AG - Tập 13 Số 17 - Trang 2358
Brian Ayugi1,2,3, Victor Nnamdi Dike4,5, Hamida Ngoma6,2, Hassen Babaousmail7, Richard Mumo8, Victor Ongoma9
1Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, China
2Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
3Organization of African Academic Doctors (OAAD), Off Kamiti Road Nairobi, Nairobi P.O. Box 25305-00100, Kenya
4Energy, Climate, and Environment Science Group, Imo State Polytechnic Umuagwo, Ohaji, Owerri 1472, Imo State, Nigeria
5International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
6Department of Geosciences, University of Connecticut, Storrs, CT 06269, USA
7Binjiang College, Nanjing University of Information Science and Technology, Wuxi, 214105, China
8Department of Mathematics and Statistical Sciences, Botswana International University of Science and Technology, Private Bag 16, Palapye Plot 10071, Botswana
9International Water Research Institute, Mohammed VI Polytechnic University, Lot 660, Hay Moulay Rachid Ben Guerir, 43150, Morocco

Tóm tắt

This paper presents an analysis of projected precipitation extremes over the East African region. The study employs six indices defined by the Expert Team on Climate Change Detection Indices to evaluate extreme precipitation. Observed datasets and Coupled Model Intercomparison Project Phase six (CMIP6) simulations are employed to assess the changes during the two main rainfall seasons: March to May (MAM) and October to December (OND). The results show an increase in consecutive dry days (CDD) and decrease in consecutive wet days (CWD) towards the end of the 21st century (2081–2100) relative to the baseline period (1995–2014) in both seasons. Moreover, simple daily intensity (SDII), very wet days (R95 p), very heavy precipitation >20 mm (R20 mm), and total wet-day precipitation (PRCPTOT) demonstrate significant changes during OND compared to the MAM season. The spatial variation for extreme incidences shows likely intensification over Uganda and most parts of Kenya, while a reduction is observed over the Tanzania region. The increase in projected extremes may pose a serious threat to the sustainability of societal infrastructure and ecosystem wellbeing. The results from these analyses present an opportunity to understand the emergence of extreme events and the capability of model outputs from CMIP6 in estimating the projected changes. More studies are recommended to examine the underlying physical features modulating the occurrence of extreme incidences projected for relevant policies.

Từ khóa


Tài liệu tham khảo

Alexander, 2006, Global observed changes in daily climate extremes of temperature and precipitation, J. Geophys. Res. Atmos., 111, D05109, 10.1029/2005JD006290

Sillmann, 2013, Climate extremes indices in the CMIP5 multimodel ensemble: Part 2. Future climate projections, J. Geophys. Res. Atmos., 118, 2473, 10.1002/jgrd.50188

Pachauri, R.K., and Meyer, L.A. (2014). Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II, and III to the Fifth Assessment Report of the In-tergovernmental Panel on Climate Change, IPCC.

Alexander, 2016, Global observed long-term changes in temperature and precipitation extremes: A review of progress and limitations in IPCC assessments and beyond, Weather. Clim. Extremes, 11, 4, 10.1016/j.wace.2015.10.007

Masson-Delmotte, V., Zhai, P., Pörtner, H.-O., Roberts, D., Skea, J., Shukla, P.R., Pirani, A., Moufouma-Okia, W., Péan, C., and Pidcock, R. (2018). Summary for Policymakers. Global Warming of 1.5 °C. An IPCC Special Report on the Impacts of Global Warming of 1.5 °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. Available online: https://www.ipcc.ch/site/assets/uploads/sites/2/2019/05/SR15_SPM_version_report_LR.pdf.

Giorgi, 2019, The response of precipitation characteristics to global warming from climate projections, Earth Syst. Dyn., 10, 73, 10.5194/esd-10-73-2019

AghaKouchak, 2020, Climate Extremes and Compound Hazards in a Warming World, Annu. Rev. Earth Planet. Sci., 48, 519, 10.1146/annurev-earth-071719-055228

Fischer, 2015, Anthropogenic contribution to global occurrence of heavy-precipitation and high-temperature extremes, Nat. Clim. Chang., 5, 560, 10.1038/nclimate2617

Papalexiou, 2019, Global and Regional Increase of Precipitation Extremes under Global Warming, Water Resour. Res., 55, 4901, 10.1029/2018WR024067

Jiang, 2011, Extreme climate events in China: IPCC-AR4 model evaluation and projection, Clim. Chang., 110, 385, 10.1007/s10584-011-0090-0

Yuan, 2015, Historical changes and future projection of extreme precipitation in China, Theor. Appl. Clim., 127, 393, 10.1007/s00704-015-1643-3

Chen, 2018, Projected changes in climate extremes in China in a 1.5 °C warmer world, Int. J. Clim., 38, 3607, 10.1002/joc.5521

Zhu, 2020, Does CMIP6 Inspire More Confidence in Simulating Climate Extremes over China?, Adv. Atmospheric Sci., 37, 1119, 10.1007/s00376-020-9289-1

Janssen, 2014, Observational- and model-based trends and projections of extreme precipitation over the contiguous United States, Earth’s Future, 2, 99, 10.1002/2013EF000185

Karl, T.R., Meehl, G.A., Miller, C.D., Hassol, S.J., Waple, A.M., and Murray, W.L. (2008). Observed changes in weather and climate extremes. Weather and Climate Extremes in a Changing Climate: Regions of Focus: North America, Hawaii, Caribbean, and U.S. Pacific Islands, Synthesis and Assessment Product 3.U.S. Climate Change Science Program.

Akinsanola, 2019, Projections of West African summer monsoon rainfall extremes from two CORDEX models, Clim. Dyn., 52, 2017, 10.1007/s00382-018-4238-8

Myhre, 2019, Frequency of extreme precipitation increases extensively with event rareness under global warming, Sci. Rep., 9, 16063, 10.1038/s41598-019-52277-4

Kunkel, 1999, Long-Term in Extreme Precipitation Events over the Conterminous United States and Canada, J. Climate., 12, 2515, 10.1175/1520-0442(1999)012<2515:LTTIEP>2.0.CO;2

Ferguson, 2020, Maternal microbial molecules affect offspring health, Science, 367, 978, 10.1126/science.aba7673

Barros, V.R., Field, C.B., Dokken, D.J., Mastrandrea, M.D., Mach, K.J., Bilir, T.E., Chatterjee, M., Ebi, K.L., Estrada, Y.O., and Genova, R.C. (2014). Africa. Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part B: Regional Aspects. Contribution of Working Group II to the Fifth As-sessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press.

Trenberth, 2011, Changes in precipitation with climate change, Clim. Res., 47, 123, 10.3354/cr00953

Aguilar, 2009, Changes in temperature and precipitation extremes in western central Af-rica, Guinea Conakry, and Zimbabwe, 1955–2006, J. Geophys. Res. Atmos., 114, D02115, 10.1029/2008JD011010

Shongwe, 2011, Projected Changes in Mean and Extreme Precipitation in Africa under Global Warming. Part II: East Africa, J. Clim., 24, 3718, 10.1175/2010JCLI2883.1

Omondi, 2014, Changes in temperature and precipitation extremes over the Greater Horn of Africa region from 1961 to 2010, Int. J. Clim., 34, 1262, 10.1002/joc.3763

Taylor, 2017, Frequency of extreme Sahelian storms tripled since 1982 in satellite observations, Nat. Cell Biol., 544, 475

Donat, 2013, Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: The HadEX2 dataset, J. Geophys. Res., 118, 2098, 10.1002/jgrd.50150

Collins, M., Knutti, R., Arblaster, J., Dufresne, J.-L., Fichefet, T., Friedlingstein, P., Gao, X., Gutowski, W.J., Johns, T., and Krinner, G. (2021, August 22). Long-term climate change: Projections, commitments and irreversibility. Available online: https://www.ipcc.ch/site/assets/uploads/2018/02/WG1AR5_Chapter12_FINAL.pdf.

Field, C.B., Barros, V., Stocker, T.F., Qin, D., Dokken, D.J., Ebi, K.L., Mastrandrea, M.D., Mach, K.J., Plattner, G.K. (2012). Changes in climate extremes and their impacts on the natural physical environment. Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change (IPCC), Cambridge University Press.

Ongoma, 2018, Variability of extreme weather events over the equatorial East Africa, a case study of rainfall in Kenya and Uganda, Theor. Appl. Clim., 131, 295, 10.1007/s00704-016-1973-9

Iyakaremye, 2021, Contribution of external forcings to the observed trend in surface temperature over Africa during 1901–2014 and its future projection from CMIP6 simulations, Atmospheric Res., 254, 105512, 10.1016/j.atmosres.2021.105512

Iyakaremye, 2021, Increased high-temperature extremes and associated population exposure in Africa by the mid-21st century, Sci. Total. Environ., 790, 148162, 10.1016/j.scitotenv.2021.148162

Ayugi, 2021, Evaluation and projection of mean surface temperature using CMIP6 models over East Africa, J. Afr. Earth Sci., 181, 104226, 10.1016/j.jafrearsci.2021.104226

FAO (2019). The state of Food Security and Nutrition in the World. Safeguarding against Economic Slowdowns and Downturns, FAO.

Peterson, 2012, Explaining Extreme Events of 2011 from a Climate Perspective, Bull. Am. Meteorol. Soc., 93, 1041, 10.1175/BAMS-D-12-00021.1

Stahl, 2016, Drought in a human-modified world: Reframing drought definitions, understanding, and analysis approaches, Hydrol. Earth Syst. Sci., 20, 3631, 10.5194/hess-20-3631-2016

Ayugi, B., Tan, G., Gnitou, G.T., Ojara, M., and Ongoma, V. (2020). Historical evaluations and simulations of precipitation over Eastern Africa from Rossby Centre Regional Climate Model. Atmos. Res., 232.

Tan, 2020, Projections of future meteorological drought events under representative concentration pathways (RCPs) of CMIP5 over Kenya, East Africa, Atmospheric Res., 246, 105112, 10.1016/j.atmosres.2020.105112

(2021, August 22). IPCC. Available online: https://www.ipcc.ch/report/ar5/wg1/.

Taylor, 2012, An Overview of CMIP5 and the Experiment Design, Bull. Am. Meteorol. Soc., 93, 485, 10.1175/BAMS-D-11-00094.1

Zhang, 2011, Indices for monitoring changes in extremes based on daily temperature and precipitation data, Wiley Interdiscip. Rev. Clim. Chang., 2, 851, 10.1002/wcc.147

Jiang, 2015, Extreme Precipitation Indices over China in CMIP5 Models. Part I: Model Evaluation, J. Clim., 28, 8603, 10.1175/JCLI-D-15-0099.1

Fischer, 2021, Increasing probability of record-shattering climate extremes, Nat. Clim. Chang., 11, 689, 10.1038/s41558-021-01092-9

Weber, 2018, Analyzing Regional Climate Change in Africa in a 1.5, 2, and 3 °C Global Warming World, Earth’s Future, 6, 643, 10.1002/2017EF000714

Kharin, 2018, Risks from Climate Extremes Change Differently from 1.5 °C to 2.0 °C Depending on Rarity, Earth’s Future, 6, 704, 10.1002/2018EF000813

Viste, 2013, Recent drought and precipitation tendencies in Ethiopia, Theor. Appl. Clim., 112, 535, 10.1007/s00704-012-0746-3

Liebmann, 2014, Understanding Recent Eastern Horn of Africa Rainfall Variability and Change, J. Clim., 27, 8630, 10.1175/JCLI-D-13-00714.1

Kilavi, M., MacLeod, D., Ambani, M., Robbins, J., Dankers, R., Graham, R., Helen, T., Salih, A.A.M., and Todd, M.C. (2018). Extreme Rainfall and Flooding over Central Kenya Including Nairobi City during the Long-Rains Season 2018: Causes, Predictability, and Potential for Early Warning and Actions. Atmosphere, 9.

Ongoma, 2017, Projected changes in mean rainfall and temperature over East Africa based on CMIP5 models, Int. J. Clim., 38, 1375, 10.1002/joc.5252

Ongoma, 2017, Future changes in climate extremes over Equatorial East Africa based on CMIP5 multimodel ensemble, Nat. Hazards, 90, 901, 10.1007/s11069-017-3079-9

Gebrechorkos, 2017, Evaluation of Multiple Climate Data Sources for Managing Environmental Resources in East Africa, Hydro. Earth Syst. Sci., 22, 4547, 10.5194/hess-22-4547-2018

Osima, 2018, Projected Climate over Greater Horn of Africa under 1.5 °C and 2 °C global warming, Environ. Res. Lett., 13, 6, 10.1088/1748-9326/aaba1b

Onyutha, 2020, Analyses of rainfall extremes in East Africa based on observations from rain gauges and climate change simulations by CORDEX RCMs, Clim. Dyn., 54, 4841, 10.1007/s00382-020-05264-9

Ogega, 2020, Heavy precipitation events over East Africa in a changing climate: Results from CORDEX RCMs, Clim. Dyn., 55, 993, 10.1007/s00382-020-05309-z

Tegegne, 2021, Projected changes in extreme precipitation indices from CORDEX simulations over Ethiopia, East Africa, Atmospheric Res., 247, 105156, 10.1016/j.atmosres.2020.105156

Zwiers, 2009, Guidelines on analysis of extremes in a changing climate in support of informed decisions for adaptation, Climate Data and Monitoring WCDMP-No. 72, Volume 1500, 56

Eyring, 2016, Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization, Geosci. Model Dev., 9, 1937, 10.5194/gmd-9-1937-2016

Akinsanola, 2021, Evaluation of CMIP6 models in simulating the statistics of extreme precipitation over Eastern Africa, Atmospheric Res., 254, 105509, 10.1016/j.atmosres.2021.105509

Ayugi, B., Jiang, V., Zhu, H., Ngoma, H., Babaousmail, H., and Karim, R. (2021). Comparison of CMIP6 and CMIP5 models in simulating mean and extreme precipitation over East Africa. Int. J. Clim.

Kriegler, 2017, The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st century, Glob. Environ. Chang., 42, 169, 10.1016/j.gloenvcha.2015.01.004

Ongoma, 2017, Temporal and spatial variability of temperature and precipitation over East Africa from 1951 to 2010, Theor. Appl. Clim., 129, 131

Hastenrath, 2011, Circulation Mechanisms of Kenya Rainfall Anomalies, J. Clim., 24, 404, 10.1175/2010JCLI3599.1

Endris, 2016, Teleconnection responses in multi-GCM driven CORDEX RCMs over Eastern Africa, Clim. Dyn., 46, 2821, 10.1007/s00382-015-2734-7

Yang, 2014, The East African Long Rains in Observations and Models, J. Clim., 27, 7185, 10.1175/JCLI-D-13-00447.1

Lyon, 2012, A recent and abrupt decline in the East African long rains, Geophys. Res. Lett., 39, 02702, 10.1029/2011GL050337

Nicholson, 2017, Climate and climatic variability of rainfall over eastern Africa, Rev. Geophys., 55, 590, 10.1002/2016RG000544

Camberlin, P. (2018). Climate of Eastern Africa. Oxford Research Encyclopedia of Climate Science, Oxford University Press (OUP).

Adhikari, 2015, Climate change and eastern Africa: A review of impact on major crops, Food Energy Secur., 4, 110, 10.1002/fes3.61

Mumo, 2018, Assessing Impacts of Seasonal Climate Variability on Maize Yield in Kenya, Int. J. Plant Prod., 12, 297, 10.1007/s42106-018-0027-x

Dike, V., Lin, Z.-H., and Ibe, C. (2020). Intensification of Summer Rainfall Extremes over Nigeria during Recent Decades. Atmosphere, 11.

Dosio, A., Jury, M.W., Almazroui, M., Ashfaq, M., Diallo, I., Engelbrecht, F.A., Klutse, N.A.B., Lennard, C., Pinto, I., and Sylla, M.B. (2021). Projected future daily characteristics of African precipitation based on global (CMIP5, CMIP6) and regional (CORDEX, CORDEX-CORE) climate models. Clim. Dyn., 1–24.

Mafuru, 2020, The influence of ENSO on the upper warm temperature anomaly formation associated with the March–May heavy rainfall events in Tanzania, Int. J. Clim., 40, 2745, 10.1002/joc.6364

Maidment, 2015, Recent observed and simulated changes in precipitation over Africa, Geophys. Res. Lett., 42, 8155, 10.1002/2015GL065765

Xu, H., Chen, H., and Wang, H. (2021). Future changes in precipitation extremes across China based on CMIP6 models. Int. J. Clim.

Gu, 2013, Interdecadal variability/long-term changes in global precipitation patterns during the past three decades: Global warming and/or pacific decadal variability?, Clim. Dyn., 40, 3009, 10.1007/s00382-012-1443-8

Dai, 2016, Future Warming Patterns Linked to Today’s Climate Variability, Sci. Rep., 6, 6

Hua, 2016, Possible causes of the Central Equatorial Af-rican long-term drought, Environ. Res. Lett., 11, 124002, 10.1088/1748-9326/11/12/124002

Ongoma, 2019, Evaluation of CMIP5 twentieth century rainfall simulation over the equatorial East Africa, Theor. Appl. Clim., 135, 893, 10.1007/s00704-018-2392-x

Onyutha, C., Asiimwe, A., Ayugi, B., Ngoma, H., Ongoma, V., and Tabari, H. (2021). Observed and Future Precipitation and Evapotranspiration in Water Management Zones of Uganda: CMIP6 Projections. Atmosphere, 12.

Cattani, E., Merino, A., Guijarro, J.A., and Levizzani, V. (2018). East Africa Rainfall Trends and Variability 1983–2015 Using Three Long-Term Satellite Products. Remote Sens., 10.

Endris, 2018, Future changes in rainfall associated with ENSO, IOD and changes in the mean state over Eastern Africa, Clim. Dyn., 52, 2029, 10.1007/s00382-018-4239-7

Ayugi, B., Tan, G., Niu, R., Babaousmail, H., Ojara, M., Wido, H., Mumo, L., Nooni, I., and Ongoma, V. (2020). Quantile Mapping Bias Correction on Rossby Centre Regional Climate Models for Precipitation Analysis over Kenya, East Africa. Water, 12.

Karim, R., Tan, G., Ayugi, B., Babaousmail, H., and Liu, F. (2020). Evaluation of Historical CMIP6 Model Simulations of Seasonal Mean temperature over Pakistan during 1970–2014. Atmosphere, 11.

Sian, K.L.K., Wang, J., Ayugi, B., Nooni, I., and Ongoma, V. (2021). Multi-Decadal Variability and Future Changes in Precipitation over Southern Africa. Atmosphere, 12.

Ngoma, H., Wen, W., Ayugi, B., Babaousmail, H., Karim, R., and Ongoma, V. (2021). Evaluation of precipitation simulations in CMIP6 models over Uganda. Int. J. Clim.

Babaousmail, H., Hou, R., Ayugi, B., Ojara, M., Ngoma, H., Karim, R., Rajasekar, A., and Ongoma, V. (2021). Evaluation of the Performance of CMIP6 Models in Reproducing Rainfall Patterns over North Africa. Atmosphere, 12.

Knutti, 2013, Robustness and uncertainties in the new CMIP5 climate model projections, Nat. Clim. Chang., 3, 369, 10.1038/nclimate1716