[논문]Assessing the Performance of CMIP5 GCMs for Projection of Future Temperature Change over the Lower Mekong Basin

Ruan, Yunfeng; Liu, Zhaofei; Wang, Rui; Yao, Zhijun

doi:10.3390/atmos10020093

Assessing the Performance of CMIP5 GCMs for Projection of Future Temperature Change over the Lower Mekong Basin 원문보기

Atmosphere, v.10 no.2, 2019년, pp.93 -

Ruan, Yunfeng (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China) , Liu, Zhaofei (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China) , Wang, Rui (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China) , Yao, Zhijun (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract ▼ AI-Helper

In this study, we assessed the performance of 34 Coupled Model Intercomparison Project Phase 5 (CMIP5) general climate models (GCMs) for simulating the observed temperature over the Lower Mekong Basin (LMB) in 1961-2004. An improved score-based method was used to rank the performance of the GCMs over the LMB. Two methods of multi-model ensemble (MME), sub-ensemble from the top 25% ranked GCMs and full ensemble from the entire GCMs, were calculated using arithmetic mean (AM) method and downscaled using the Delta method to project future temperature change during two future time periods, the near future (2006-2049) and the far future (2050-2093), under representative concentration pathways (RCP2.6, RCP4.5, and RCP8.5 scenarios) over the LMB. The improved score-based method combining multiple criteria showed a robust assessment of the GCMs performance over the LMB, which can provide good information for projecting future temperature change. The results showed a significant increase in temperature over the LMB under the two ensembles. However, there were differences in the magnitudes of the future temperature increase between the two ensemble methods, with a higher mean annual temperature increase from full ensemble and sub-ensemble at 1.26 °C (1.09 °C), 1.90 °C (1.70 °C), and 2.97 °C (2.78 °C) during 2050-2093 under the RCP2.6, RCP4.5, and RCP8.5 scenarios compared to the values at 0.93 °C (0.87 °C), 0.99 °C (0.95 °C), and 1.09 °C (1.06 °C) during 2006-2049, respectively, relative to the reference time period of 1961-2004. In the future (2006-2093), the temperature is likely to increase at 0.06 °C, 0.18 °C, and 0.39 °C decade−1 under the RCP2.6, RCP4.5, and RCP8.5 scenarios by the sub-ensemble, while a higher temperature increase at 0.08 °C, 0.20 °C, and 0.42 °C was found by the full ensemble over the LMB, relative to the reference time period of 1961-2004. On the whole, the higher warming mainly occurred in the northern and central areas over the LMB, while the lower warming mainly occurred in the southeast and the southwest, especially under the RCP4.5 and RCP8.5 scenarios, with the warming increased with increasing RCP for both ensembles. Moreover, in order to reduce the uncertainty of temperature projection in further studies in the LMB, multiple methods of GCMs ensemble should be considered and compared.

참고문헌 (52)

IPCC (2009). Climate Change 2013-The Physical Science Basis by Intergovernmental Panel on Climate Change, Cambridge University Press (CUP).
Eastham, J., Mpelasoka, F., Mainuddin, M., Ticehurst, C., Dyce, P., Hodgson, G., Ali, R., and Kirby, M. (2008). Mekong River Basin Water Resources Assessment: Impacts of Climate Change, CSIRO. Water for a Healthy Country National Research Flagship Report.
Qin Latest advances in climate change sciences: Interpretation of the synthesis report of the IPCC fourth assessment report Adv. Climate. Change. Res. 2007 3 311
Rupp Evaluation of CMIP5 20th century climate simulations for the Pacific Northwest USA J. Geophys. Res. Atmos. 2013 10.1002/jgrd.50843 118 10884

상세보기
Miao Assessment of CMIP5 climate models and projected temperature changes over Northern Eurasia Environ. Res. Lett. 2014 10.1088/1748-9326/9/5/055007 9 055007

상세보기
Ahmadalipour Multi-criteria evaluation of CMIP5 GCMs for climate change impact analysis Theor. Appl. Climatol. 2015 10.1007/s00704-015-1695-4 128 71

상세보기
Dong Future temperature changes over the critical Belt and Road region based on CMIP5 models Adv. Climate Change Res. 2018 10.1016/j.accre.2018.01.003 9 57

상세보기
Das Use of observed temperature statistics in ranking CMIP5 model performance over the Western Himalayan Region of India Int. J. Climatol. 2017 10.1002/joc.5193 38 554

상세보기
Sun Comparative analysis of CMIP3 and CMIP5 global climate models for simulating the daily mean, maximum, and minimum temperatures and daily precipitation over China J. Geophys. Res. Atmos. 2015 10.1002/2014JD022994 120 4806

상세보기
Koutroulis Evaluation of precipitation and temperature simulation performance of the CMIP3 and CMIP5 historical experiments Clim. Dyn. 2015 10.1007/s00382-015-2938-x 47 1881

상세보기
Guo Surface Air Temperature Simulations over China with CMIP5 and CMIP3 Adv. Climate Change Res. 2013 10.3724/SP.J.1248.2013.145 4 145

상세보기
Sonali Intercomparison of CMIP5 and CMIP3 simulations of the 20th century maximum and minimum temperatures over India and detection of climatic trends Meteorol. Atmos. Phys. 2016 128 465
Lee Boreal winter low-frequency variability in CMIP5 models J. Geophys. Res. Atmos. 2013 10.1002/jgrd.50493 118 6891

상세보기
Ning NAO and PNA influences on winter temperature and precipitation over the eastern United States in CMIP5 GCMs Clim. Dyn. 2015 10.1007/s00382-015-2643-9 46 1257

상세보기
10.1007/s00382-018-4196-1 Wang, X., Chen, M., Wang, C., Yeh, S.-W., and Tan, W. (2018). Evaluation of performance of CMIP5 models in simulating the North Pacific Oscillation and El Niño Modoki. Clim. Dyn., 1-12.

상세보기
Hawkins The Potential to Narrow Uncertainty in Regional Climate Predictions Bull. Amer. Meteor. Soc. 2009 10.1175/2009BAMS2607.1 90 1095

상세보기
Bannister An Assessment of Recent and Future Temperature Change over the Sichuan Basin, China, Using CMIP5 Climate Models J. Clim. 2017 10.1175/JCLI-D-16-0536.1 30 6701

상세보기
Abbasian, M., Moghim, S., and Abrishamchi, A. (2018). Performance of the general circulation models in simulating temperature and precipitation over Iran. Meteorol. Atmos. Phys., 1-19.
Robock Use of general circulation model output in the creation of climate change scenarios for impact analysis Climatic Change 1993 10.1007/BF01091621 23 293

상세보기
Risbey A Case Study of the Adequacy of GCM Simulations for Input to Regional Climate Change Assessments J. Clim. 1996 10.1175/1520-0442(1996)009<1441:ACSOTA>2.0.CO;2 9 1441

상세보기
Xu Projected changes in temperature and precipitation extremes over the Yangtze River Basin of China in the 21st century Quat. Int. 2009 10.1016/j.quaint.2008.12.020 208 44

상세보기
Luo Defining spatiotemporal characteristics of climate change trends from downscaled GCMs ensembles: How climate change reacts in Xinjiang, China Int. J. Climatol. 2018 10.1002/joc.5425 38 2538

상세보기
Fan Review on creating future climate change scenarios by statistical downscaling techniques Adv. Earth. Sci. 2008 20 320
Choi Simulating streamflow response to climate scenarios in central Canada using a simple statistical downscaling method Clim. Res. 2009 10.3354/cr00826 40 89

상세보기
Liu Hydrological impacts of climate change in the Yellow River Basin for the 21st century using hydrological model and statistical downscaling model Quat. Int. 2011 10.1016/j.quaint.2010.12.001 244 211

상세보기
Horton Climate Hazard Assessment for Stakeholder Adaptation Planning in New York City J. Appl. Meteor. Climatol. 2011 10.1175/2011JAMC2521.1 50 2247

상세보기
Rahimi Spatial changes of Extended De Martonne climatic zones affected by climate change in Iran Theor. Appl. Climatol. 2012 10.1007/s00704-012-0741-8 112 409

상세보기
10.1371/journal.pone.0156720 Wang, T., Hamann, A., Spittlehouse, D., and Carroll, C. (2016). Locally Downscaled and Spatially Customizable Climate Data for Historical and Future Periods for North America. PLoS ONE, 11.

상세보기
Walsh Downscaling of climate model output for Alaskan stakeholders Environ. Model. Software 2018 10.1016/j.envsoft.2018.03.021 110 38

상세보기
Trisurat Basin-wide impacts of climate change on ecosystem services in the Lower Mekong Basin Ecol. Res. 2017 10.1007/s11284-017-1510-z 33 73

상세보기
Mekong River Commission, and ICEM (2015). MRC: Vulnerability Report Volume 2: Basin-Wide Climate Change Impact and Vulnerability Assessment for Wetland Dependent Livelihoods and Eco-Services, ICEM.
Hoanh, C.T., Jirayoot, K., Lacombe, G., and Srinetr, V. (2010). Impacts of Climate Change and Development on Mekong Flow Regimes. First Assessment-2009, International Water Management Institute.
Yoshimura 2020s scenario analysis of nutrient load in the Mekong River Basin using a distributed hydrological model Sci. Total Environ. 2009 10.1016/j.scitotenv.2009.06.026 407 5356

상세보기
Kingston Uncertainty in climate change projections of discharge for the Mekong River Basin Hydrol. Earth Syst. Sci. 2011 10.5194/hess-15-1459-2011 15 1459

상세보기
Huang Multi-model ensemble simulation and projection in the climate change in the Mekong River Basin. Part I: Temperature Environ. Monit. Assess. 2014 10.1007/s10661-014-3944-x 186 7513

상세보기
Taylor An Overview of CMIP5 and the Experiment Design Bull. Amer. Meteor. Soc. 2012 10.1175/BAMS-D-11-00094.1 93 485

상세보기
Yasutomi Development of a long-term daily gridded temperature dataset and its application to rain/snow discrimination of daily precipitation Global. Environ. Res. 2011 15 165
Lutz, A., Terink, W., Droogers, P., Immerzeel, W., and Piman, T. (2014). Development of Baseline Climate Data Set and Trend Analysis in the Mekong Basin, Mekong River Commission.
Fu A score-based method for assessing the performance of GCMs: A case study of southeastern Australia J. Geophys. Res. Atmos. 2013 10.1002/jgrd.50269 118 4154

상세보기
Liu Air temperature and precipitation over the Mongolian Plateau and assessment of CMIP5 climate models Resour. Sci. 2016 38 956
Mann Nonparametric tests against trend Econometrica 1945 10.2307/1907187 13 245

상세보기
Kendall, M.G. (1975). Rank Correlation Methods, Charles Griffin. [4th ed.].
Hirsch Selection of methods for the detection and estimation of trends in water quality Water Resour. Res. 1991 10.1029/91WR00259 27 803

상세보기
Sen Estimates of the regression coefficient based on Kendall’s tau J. Am. Stat. Assoc. 1968 10.1080/01621459.1968.10480934 63 1379

상세보기
Hirsch Techniques of trend analysis for monthly water quality data Water Resour. Res. 1982 10.1029/WR018i001p00107 18 107

상세보기
Perkins Evaluation of the AR4 Climate Models’ Simulated Daily Maximum Temperature, Minimum Temperature, and Precipitation over Australia Using Probability Density Functions J. Clim. 2007 10.1175/JCLI4253.1 20 4356

상세보기
Hu Evaluation of CMIP5 models over the Qinghai-Tibetan Plateau Chin. J. Atmosph. Sci. 2014 38 924
Zazulie Regional climate of the subtropical central Andes using high-resolution CMIP5 models-Part I: Past performance (1980-2005) Clim. Dyn. 2017 10.1007/s00382-017-3560-x 49 3937

상세보기
Kumar Regional and seasonal intercomparison of CMIP3 and CMIP5 climate model ensembles for temperature and precipitation Clim. Dyn. 2014 10.1007/s00382-014-2070-3 43 2491

상세보기
Venkataraman 21st century drought outlook for major climate divisions of Texas based on CMIP5 multimodel ensemble: Implications for water resource management J. Hydrol. 2016 10.1016/j.jhydrol.2016.01.001 534 300

상세보기
Ahmadalipour Accounting for downscaling and model uncertainty in fine-resolution seasonal climate projections over the Columbia River Basin Clim. Dyn. 2017 10.1007/s00382-017-3639-4 50 717

상세보기
Wang Spatio-temporal changes of precipitation and temperature over the Pearl River basin based on CMIP5 multi-model ensemble Stoch. Environ. Res. Risk Assess. 2016 10.1007/s00477-016-1286-7 31 1077

상세보기

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Assessing the Performance of CMIP5 GCMs for Projection of Future Temperature Change over the Lower Mekong Basin 원문보기

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