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Thermal bioclimatic indicators over Southeast Asia: present status and future projection using CMIP6

Hamed, Mohammed Magdy and Nashwan, Mohamed Salem and Shahid, Shamsuddin and Ismail, Tarmizi and Dewan, Ashraf and Md. Asaduzzaman, Md. Asaduzzaman (2022) Thermal bioclimatic indicators over Southeast Asia: present status and future projection using CMIP6. Environmental Science and Pollution Research, 29 (60). pp. 91212-91231. ISSN 0944-1344

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Official URL: http://dx.doi.org/10.1007/s11356-022-22036-6

Abstract

Mapping potential changes in bioclimatic characteristics are critical for planning mitigation goals and climate change adaptation. Assessment of such changes is particularly important for Southeast Asia (SEA) — home to global largest ecological diversity. Twenty-three global climate models (GCMs) of Coupled Model Intercomparison Project Phase 6 (CMIP6) were used in this study to evaluate changes in 11 thermal bioclimatic indicators over SEA for two shared socioeconomic pathways (SSPs), 2–4.5 and 5–8.5. Spatial changes in the ensemble mean, 5th, and 95th percentile of each indicator for near (2020–2059) and far (2060–2099) periods were examined in order to understand temporal changes and associated uncertainty. The results indicated large spatial heterogeneity and temporal variability in projected changes of bioclimatic indicators. A higher change was projected for mainland SEA in the far future and less in maritime region during the near future. At the same time, uncertainty in the projected bioclimatic indices was higher for mainland than maritime SEA. Analysis of mean multi-model ensemble revealed a change in mean temperature ranged from - 0.71 to 3.23 °C in near and from 0.00 to 4.07 °C in far futures. The diurnal temperature range was projected to reduce over most of SEA (ranging from - 1.1 to - 2.0 °C), while isothermality is likely to decrease from - 1.1 to - 4.6%. A decrease in isothermality along with narrowing of seasonality indicated a possible shift in climate, particularly in the north of mainland SEA. Maximum temperature in the warmest month/quarter was projected to increase a little more than the coldest month/quarter and the mean temperature in the driest month to increase more than the wettest month. This would cause an increase in the annual temperature range in the future.

Item Type:Article
Uncontrolled Keywords:Climate change, Global climate model, Shared socioeconomic pathways, Southeast Asia, Uncertainty
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Civil Engineering
ID Code:103795
Deposited By: Widya Wahid
Deposited On:27 Nov 2023 06:23
Last Modified:27 Nov 2023 06:23

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