000			00595nab|a22002177a|4500
999			_c62473 _d62465
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003			MX-TxCIM
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008			200818s2020||||ne |||p|op||||00||0|eng|d
022			_a0169-8095
024	8		_ahttps://doi.org/10.1016/j.atmosres.2020.105122
040			_aMX-TxCIM
041			_aeng
100	1		_aUllah, S. _915406
245	1	0	_aEvaluation of CMIP5 models and projected changes in temperatures over South Asia under global warming of 1.5°C, 2°C, and 3°C
260			_aNetherlands : _bElsevier, _c2020.
500			_aPeer review
520			_aThis study was designed to evaluate the spatiotemporal performance of the Coupled Model Intercomparison Project Phase 5 (CMIP5) models in the historical simulation and future projections of minimum (Tmin), maximum (Tmax), and mean temperature (Tmean) over South Asia (SA) during global warming of 1.5°C, 2°C, and 3°C targets under RCP4.5 and RCP8.5 scenarios. It is worth mentioning that the present study is the first of its kind to use such a large number of CMIP5 models to project future changes in Tmin, Tmax, and Tmean over SA using three different warming thresholds. The results show that CSIRO–MK3–6–0, MIROC–ESM–CHEM, CNRM–CM5, CCSM4, and MRI–CGCM3 models relatively performed better with a consistent and accurate spatiotemporal simulation of Tmin, Tmax, and Tmean over SA. In terms of projected changes, Tmin, Tmax, and Tmean show a dominating and consistent warming pattern over SA with stronger intensity in higher latitude than mid–low latitudes under 1.5°C, 2°C, and 3°C warming thresholds. The northwestern (eastern) regions of SA will witness greater (least) warming in Tmin, Tmax, and Tmean under all warming thresholds in RCP4.5 and RCP8.5 scenarios. Furthermore, the central and southern parts of SA will experience a moderate increase in Tmin, Tmax, and Tmean under all warming targets. The uneven and intensified patterns of Tmin, Tmax, and Tmean may result in temperature extremes, which would pose potential risks to the local population. Therefore, more attention should be paid on the regional and local perspectives to estimate the adverse impacts of these extremes under different global warming targets. We further suggest to project future changes in climate extremes over SA under different warming levels, which will be helpful in climate change adaptation and mitigation over the study region.
546			_aText in English
650		7	_aModels _2AGROVOC _94859
650		7	_aEvaluation _2AGROVOC _97749
650		7	_aTemperature _2AGROVOC _97940
650		7	_aGlobal warming _2AGROVOC _93012
651		7	_2AGROVOC _91956 _aSouth Asia
700	0		_915407 _aQinglong You
700	0		_915408 _aYuqing Zhang
700	1		_915409 _aBhatti, A.S.
700	1		_915410 _aUllah, W.
700	1		_915411 _aFiifi Hagan, D.
700	1		_915412 _aAli, A.
700	1		_915413 _aAli, G.
700	1		_915414 _aJan, M.A.
700	1		_915415 _aKhan, S.N.
700	1		_915416 _aAli, A.
773	0		_gv. 246, art. 105122 _dNetherlands : Elsevier, 2020. _x0169-8095 _tAtmospheric Research
942			_cJA _n0 _2ddc