Changes in Future Rainfall over Southeast Asia Using the CMIP6 Multi-model Ensemble
DOI:
https://doi.org/10.30564/jasr.v7i2.6335Abstract
A multi-model ensemble from the new CMIP6 models was utilized to determine the future changes in precipitation over Southeast Asia (SEA; longitude: 90°E–140°E, latitude: 15°S–30°N). The changes are computed for the three (3) future time slices (2021–2040, 2041–2060, and 2081–2100) under four (4) different scenarios based on the Shared Socioeconomic Pathways (SSPs): 1-2.6, 2-4.5, 3-7.0, and 5-8.5. Our results indicate that future rainfall in the SEA-averaged region could increase by about 4%, 5%, 6%, and 9% towards the end of the century relative to the present-day average (1995–2014) under SSP1-2.6, 2-4.5, 3-7.0, and 5-8.5, respectively. Among all scenarios, SSP3-7.0 widely shows remarkably dry conditions whereas SSP5-8.5 suggests extremely wet conditions on different time scales. A clear dissociation of wet and dry areas is expected in the far-term period (2081–2100). Changes in the annual cycle indicate that monsoon rainfall could experience significant increases. The study also emphasizes the importance of moisture flux convergence (MFC) in determining precipitation patterns across different seasons and regions. The results suggest that MFC plays a crucial role in the projected increase or decrease of rainfall in SEA regions. Spatial correlation of future global mean temperature (GMT) and rainfall have a high positive (negative) correlation in the north (south) latitudes. Changes in rainfall are found to be sensitive to GMT. The responses to future rainfall changes per degree Celsius of warming are at the rate of 8.9%, 6.3%, 3.6%, and 2.7% under SSP1-2.6, 2-4.5, 3-7.0, and 5-8.5, respectively.
Keywords:
CMIP6; Climate change; Moisture flux convergence; GMT; Southeast Asia; RainfallReferences
[1] Intergovernmental Panel on Climate Change (IPCC), 2023. Climate change 2021-The physical science basis: Working group I contribution to the sixth assessment report of the intergovernmental panel on climate change. Cambridge University Press: Cambridge, UK and New York, NY, USA. pp. 1–2392. DOI: https://doi.org/10.1017/9781009157896
[2] Intergovernmental Panel on Climate Change (IPCC), 2023. Climate change 2022-Impacts, adaptation and vulnerability: Working group II contribution to the sixth assessment report of the intergovernmental panel on climate change. Cambridge University Press: Cambridge, UK and New York, NY, USA. pp. 1–3056. DOI: https://doi.org/10.1017/9781009325844
[3] Intergovernmental Panel on Climate Change (IPCC), 2023. Climate Change 2022-Mitigation of Climate Change: Working Group III Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press: Cambridge, UK and New York, NY, USA. pp. 1–2030. DOI: https://doi.org/10.1017/9781009157926
[4] Eyring, V., Bony, S., Meehl, G.A., et al, 2016. Overview of the coupled model intercomparison project phase 6 (CMIP6) experimental design and organization. Geoscientific Model Development. 9(5), 1937–1958. DOI: https://doi.org/10.5194/gmd-9-1937-2016
[5] Cook, B.I, Mankin, J.S, Marve, K., et al, 2020. Twenty-First century drought projections in the CMIP6 forcing scenarios. Earth's Future. 8(6), 1–20. DOI: https://doi.org/10.1029/2019EF001461
[6] Li, C., Zwiers, F., Zhang, X., et al, 2021. Changes in annual extremes of daily temperature and precipitation in CMIP6 models. Journal of Climate. 34(9), 3441–3460. DOI: https://doi.org/10.1175/jcli-d-19-1013.1
[7] Scoccimarro, E., Gualdi, S., 2020. Heavy daily precipitation events in the CMIP6 worst-case scenario: Projected twenty-first-century changes. Journal of Climate. 34(17), 7631–7642. DOI: https://doi.org/10.1175/JCLI-D-19-0940.1
[8] Ukkola, A.M, De Kauwe, M.G, Roderick, M.L, et al., 2020. Robust future changes in meteorological drought in CMIP6 projections despite uncertainty in precipitation. Geophysical Research Letters. 47(11), 1–9. DOI: https://doi.org/10.1029/2020GL087820
[9] Hijioka, Y., Lasco, R., Surjan, A., et al., 2014. Climate change 2014: impacts, adaptation, and vulnerability. Part B Regional aspects. Contribution of working group II to the Fifth Assessment Report of the IPCC. Cambridge University Press: Cambridge, UK. pp. 1–1820. DOI: https://doi.org/10.1017/CBO9781107415386
[10] Tangang, F., Chung, J.X., Juneng, L., et al., 2020. Projected future changes in rainfall in southeast Asia based on CORDEX–SEA multi-model simulations. Climate Dynamics. 55, 1247–1267. DOI: https://doi.org/10.1007/s00382-020-05322-2
[11] Villafuerte, M.Q., Matsumoto, J., 2015. Significant influences of global mean temperature and ENSO on extreme rainfall in Southeast Asia. Journal of Climate. 28(5), 1905–1919. DOI: https://doi.org/10.1175/JCLI-D-14-00531.1
[12] Arnell, N.W., Lowe, J.A., Lloyd-Hughes, B., et al., 2018. The impacts avoided with a 1.5 ºC climate target: a global and regional assessment. Climatic Change. 147, 61–76. DOI: https://doi.org/10.1007/s10584-017-2115-9
[13] Brown, S., Nicholls, R.J., Lowe, J.A., et al., 2016. Spatial variations of sea-level rise and impacts: An application of DIVA. Climatic Change. 134, 403–416. DOI: https://doi.org/10.1007/s10584-013-0925-y
[14] Hinkel, J., Lincke, D., Vafeidis, A.T., et al., 2014. Coastal flood damage and adaptation costs under 21st century sea-level rise. Pnas. 111(9), 3292–3297. DOI: https://doi.org/10.1073/pnas.1222469111
[15] Hoegh-Guldberg, O., Jacob, D., Taylor, M., et al., 2018. Impacts of 1.5 °C global warming on natural and human systems. In:Global Warming of 1.5 ºC. An IPCC Special Report on the impacts of global warming of 1.5 ºC 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. IPCC. Cambridge University Press: Cambridge, UK and New York, NY, USA. pp. 175–312. DOI: https://www.ipcc.ch/sr15/chapter/chapter-3/
[16] Liu, W., Sun, F., Lim, W.H., et al, 2018. Global drought and severe drought-affected populations in 1.5 and 2 °C warmer worlds. Earth System Dynamics. 9(1), 267–283. DOI: https://doi.org/10.5194/esd-9-267-2018
[17] Schleussner, C., Lissner, T.K., Fischer, E.M., et al., 2016. Differential climate impacts for policy-relevant limits to global warming : the case of 1.5 ºC and 2 ºC. Earth System Dynamics. 7(2), 327–351. DOI: https://doi.org/10.5194/esd-7-327-2016
[18] Settele, J., Scholes, R., Africa, S., et al., 2014. Terrestrial and Inland Water Systems. In: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press: Cambridge, UK and New York, NY, USA, pp. 271–359.
[19] Chen, H., Sun, J., 2018. Projected changes in climate extremes in China in a 1.5 °C warmer world. International Journal of Climatology. 38(9), 3607–3617. DOI: https://doi.org/10.1002/joc.5521
[20] Chen, C.A., Hsu, H.H., Liang, H.C., 2021. Evaluation and comparison of CMIP6 and CMIP5 model performance in simulating the seasonal extreme precipitation in the Western North Pacific and East Asia. Weather and Climate Extremes. 31, 100303. DOI: https://doi.org/10.1016/j.wace.2021.100303
[21] Nikulin, G., Lennard, C., Dosio, A., et al., 2018. The effects of 1.5 and 2 degrees of global warming on Africa in the CORDEX ensemble. Environmental Research Letters. 13, 65003. DOI: https://doi.org/10.1088/1748-9326/aab1b1
[22] Ge, F., Zhu, S., Luo, H., et al, 2021. Future changes in precipitation extremes over Southeast Asia: Insights from CMIP6 multi-model ensemble. Environmental Research Letters. 16, 024013. DOI: https://doi.org/10.1088/1748-9326/abd7ad
[23] Huang, W.R., Chang, Y.H., Deng, L., et al, 2021. Simulation and projection of summer convective afternoon rainfall activities over southeast Asia in CMIP6 models. Journal of Climate. 34(12), 1–43. DOI: https://doi.org/10.1175/JCLI-D-20-0788.1
[24] Sillman, J., Stjern, C.W., Myhre, G., Forster, P., 2017. Slow and fast responses of mean and extreme precipitation to different forcing in CMIP5 simulations. Geophysical Research Letters. 44(12), 6383–6390. DOI: https://doi.org/10.1002/2017GL073229
[25] Sillmann, J., Kharin, V.V., Zwiers, F.W., et al., 2013. Climate extremes indices in the CMIP5 multimodel ensemble: Part 2. Future climate projections. Journal of Geophysical Research: Atmospheres. 118(6), 2473–2493. DOI: https://doi.org/10.1002/jgrd.50188
[26] Almazroui, M., Islam, M.N., Saeed, F., et al., 2021. Projected changes in temperature and precipitation over the United States, central America, and the Caribbean in CMIP6 GCMs. Earth Systems and Environment. 5, 1–24. DOI: https://doi.org/10.1007/s41748-021-00199-5
[27] Almazroui, M., Saeed, F., Saeed, S., et al., 2020. Projected change in temperature and precipitation over Africa from CMIP6. Earth Systems and Environment. 4, 455–475. DOI: https://doi.org/10.1007/s41748-020-00161-x
[28] Almazroui, M., Saeed, S., Saeed, F., et al., 2020. Projections of precipitation and temperature over the South Asian Countries in CMIP6. Earth Systems and Environment. 4, 297–320. DOI: https://doi.org/10.1007/s41748-020-00157-7
[29] Dantas, L.G., dos Santos C.A.C., Santos, C.A.G., et al, 2022. Future changes in temperature and precipitation over Northeastern Brazil by CMIP6 model. Water. 14(24), 4118. DOI: https://doi.org/10.3390/w14244118
[30] Gupta, V., Singh, V., Jain, M.K., 2020. Assessment of precipitation extremes in India during the 21st century under SSP1-1.9 mitigation scenarios of CMIP6 GCMs. Journal of Hydrology. 590, 125422. DOI: https://doi.org/10.1016/j.jhydrol.2020.125422
[31] Jiang, J., Zhou, T., Chen, X., et al., 2020. Future changes in precipitation over Central Asia based on CMIP6 projections. Environmental Research Letters. 15, 054009. DOI: https://doi.org/10.1088/1748-9326/ab7d03
[32] Mesgari, E., Hosseini, S.A., Hemmesy, M.S., et al, 2022. Assessment of CMIP6 models’ performances and projection of precipitation based on SSP scenarios over the MENAP region. Journal of Water & Climate Change.13(10), 3607–3619. DOI: https://doi.org/10.2166/wcc.2022.195
[33] Moradian, S., Torabi Haghighi, A., Asadi, M., et al., 2023. Future changes in precipitation over Northern Europe based on a multi-model ensemble from CMIP6: Focus on Tana River Basin. Water Resources Management. 37, 2447–2463. DOI: https://doi.org/10.1007/s11269-022-03272-4
[34] Zhai, J., Mondal, S.K., Fischer, T., et al., 2020. Future drought characteristics through a multi-model ensemble from CMIP6 over South Asia. Atmospheric Research. 246, 105111. DOI: https://doi.org/10.1016/j.atmosres.2020.105111
[35] O’Neill, B.C., Tebaldi, C., van Vuuren, D.P., et al., 2016. The scenario model intercomparison project (ScenarioMIP) for CMIP6. Geoscientific Model Development. 9(9), 3461–3482. DOI: https://doi.org/10.5194/gmd-9-3461-2016
[36] Banacos, P. C., Schultz, D. M., 2005. The use of moisture flux convergence in forecasting convective initiation: historical and operational perspectives. Weather and Forecasting. 20(3), 351–366. DOI: https://doi.org/10.1175/WAF858.1
[37] Tian. B., Dong, X., 2020. The double-ITCZ bias in CMIP3, CMIP5, and CMIP6 models based on annual mean precipitation. Geophysical Research Letters. 47(8), 1–11. DOI: https://doi.org/10.1029/2020GL087232
[38] Ha, K.J., Moon, S., Timmermann, A., et al., 2020. Future changes of summer Monsoon characteristics and evaporative demand over Asia in CMIP6 simulations. Geophysical Research Letters. 47(8), 1–10. DOI: https://doi.org/10.1029/2020GL087492
[39] Villafuerte, M.Q., Macadam, I., Daron, J., et al., 2020. Projected changes in rainfall and temperature over the Philippines from multiple dynamical downscaling models. International Journal of Climatology. 40(3), 1784–1804. DOI: https://doi.org/10.1002/joc.6301
[40] Chen, Z., Zhou, T., Zhang, L., et al., 2020. Global land monsoon precipitation changes in CMIP6 projections. Geophysical Research Letters. 47(14), 1–9. DOI: https://doi.org/10.1029/2019GL086902
[41] Wang, B., Jin, C., Liu, J., 2020. Understanding future change of global monsoons projected by CMIP6 models. Journal of Climate. 33(15), 6471–6489. DOI: https://doi.org/10.1175/JCLI-D-19-0993.1
[42] Moon, S., Ha, K.J., 2020. Future changes in monsoon duration and precipitation using CMIP6. npj Climate Atmospheric Science. 3, 1–7. DOI: https://doi.org/10.1038/s41612-020-00151-w
Downloads
How to Cite
Issue
Article Type
License
Copyright © 2024 Bhenjamin Jordan Ona; Srivatsan V Raghavan, Ngoc Son Nguyen, Sheau Tieh Ngai, Thanh Hung Nguyen
This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.