High‐resolution projections of 21st century climate over the Athabasca River Basin through an integrated evaluation‐classification‐downscaling‐based climate projection framework

Journal of Geophysical Research D: Atmospheres - Tập 122 Số 5 - Trang 2595-2615 - 2017
Guanhui Cheng1, Guohe Huang2,1, Cong Dong1, Jinxin Zhu2,1, Xiong Zhou2,1, Yao Yao2,1
1Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina Saskatchewan, Canada
2Faculty of Engineering and Applied Science, University of Regina, Regina, Saskatchewan, Canada

Tóm tắt

Abstract

An evaluation‐classification‐downscaling‐based climate projection (ECDoCP) framework is developed to fill a methodological gap of general circulation models (GCMs)‐driven statistical‐downscaling‐based climate projections. ECDoCP includes four interconnected modules: GCM evaluation, climate classification, statistical downscaling, and climate projection. Monthly averages of daily minimum (Tmin) and maximum (Tmax) temperature and daily cumulative precipitation (Prec) over the Athabasca River Basin (ARB) at a 10 km resolution in the 21st century under four Representative Concentration Pathways (RCPs) are projected through ECDoCP. At the octodecadal scale, temperature and precipitation would increase; after bias correction, temperature would increase with a decreased increment, while precipitation would increase only under RCP 8.5. Interannual variability of climate anomalies would increase from RCPs 4.5, 2.6, 6.0 to 8.5 for temperature and from RCPs 2.6, 4.5, 6.0 to 8.5 for precipitation. Bidecadal averaged climate anomalies would decrease from December‐January‐February (DJF), March‐April‐May (MAM), September‐October‐November (SON) to June‐July‐August (JJA) for Tmin, from DJF, SON, MAM to JJA for Tmax, and from JJA, MAM, SON to DJF for Prec. Climate projection uncertainties would decrease in May to September for temperature and in November to April for precipitation. Spatial climatic variability would not obviously change with RCPs; climatic anomalies are highly correlated with climate‐variable magnitudes. Climate anomalies would decrease from upstream to downstream for temperature, and precipitation would follow an opposite pattern. The north end and the other zones would have colder and warmer days, respectively; precipitation would decrease in the upstream and increase in the remaining region. Climate changes might lead to issues, e.g., accelerated glacier/snow melting, deserving attentions of researchers and the public.

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Tài liệu tham khảo

10.1016/j.gloplacha.2012.11.003

Alberta Environment and Parks(2015) Lower Athabasca region: Surface water quantity management framework for the Lower Athabasca River.

10.1016/0169-2070(92)90008-W

10.1016/j.jhydrol.2013.11.051

10.1142/6908

10.1007/s007040070032

10.4296/cwrj283

10.1002/hyp.1418

10.1002/joc.1508

ChengG. H.(2016) Development of an integrated hydro‐climatic systems analysis framework and its application to the Athabasca River Basin Canada (Doctoral dissertation). Univ. of Regina Regina Canada.

10.1002/hyp.10909

10.1002/hyp.10908

10.1016/j.scitotenv.2016.03.058

10.1007/978-1-4615-2816-6_10

10.1145/1008992.1008998

10.1007/s10584-005-1157-6

10.1016/j.apenergy.2011.01.056

10.1016/j.enconman.2012.09.001

10.5194/hess-18-1793-2014

10.1007/s11707-013-0388-5

10.1016/j.eneco.2014.09.024

10.1016/j.ecoleng.2014.04.003

10.1016/j.eneco.2016.10.012

10.1016/j.yqres.2008.04.013

10.1002/wcc.339

10.1007/s10584-013-1020-0

10.1175/JCLI-D-14-00174.1

10.1002/hyp.10236

10.1007/s00382-011-1020-6

Findlay B. F., 1994, Canadian national and regional standardized annual precipitation departures, Trends, 93, 800

10.1016/S0048-9697(00)00524-6

10.1007/s10584-005-5935-y

10.1002/joc.1556

10.1029/98WR01265

10.1175/2011JCLI4083.1

10.1029/98JD02072

Gullett D. W. andW. R.Skinner(1992) The state of Canada's climate: Temperature change in Canada 1895–1991A State of Environment Report. Ottawa. Supply and Services Canada (No. 92‐2 p. 36). SOE Report.

Hanna S. R. andD. W.Heinold(1985) Development and application of a simple method for evaluating air qualityAPI Pub. No. 4409 Washington D. C.

10.3354/cr029255

Hayhoe K. A.(2010) A standardized framework for evaluating the skill of regional climate downscaling techniques Doctoral dissertation Univ. of Illinois at Urbana‐Champaign.

10.1073/pnas.0404500101

Hengeveld H.(1991) Understanding atmospheric change: A survey of the background science and implications of climate change and ozone depletionDIANE Publishing.

10.3354/cr013091

10.1016/j.ijforecast.2006.03.001

10.1017/CBO9780511546013

Karl T. R. P. D.Jones R. W.Knight G.Kukla N.Plummer V.Razuvayev K. P.Gallo J.Lindseay R. J.Charlson andT. C.Peterson(1993) Asymmetric trends of daily maximum and minimum temperaturePapers in Natural Resources 185.

10.1093/biomet/30.1-2.81

10.1016/j.advwatres.2005.07.016

10.1007/s10584-010-9958-7

10.1175/JHM-D-12-011.1

10.1023/A:1005379630126

Klecka W. R.(1980) Discriminant analysis (No. 19)Sage.

10.1038/nclimate1716

10.1016/j.spl.2003.10.012

10.1007/s10584-015-1479-y

10.1029/2012JD017640

10.1029/2005JD006915

10.1029/2009RG000314

10.1029/2004GL021462

McKee T. B., 1993, Proceedings of the 8th Conference of Applied Climatology, 179

10.1029/2009WR008423

10.3354/cr030149

10.1038/nature08823

10.1175/1520-0442(1999)012<2256:AEOSAD>2.0.CO;2

10.1002/(SICI)1097-0088(200004)20:5<489::AID-JOC484>3.0.CO;2-6

10.1016/0022-1694(70)90255-6

Palmer W. C.(1965) Meteorological droughtRes. Pap. 45 58 pp. U.S. Dep. of Commer. Washington D. C.

10.1023/B:CLIM.0000013694.18154.d6

10.1098/rspl.1895.0058

10.1002/hyp.9699

10.1175/JHM-D-14-0236.1

10.1002/hyp.6428

10.1007/s10661-005-9080-x

Royston P., 1995, Remark AS R94: A remark on algorithm AS181—The W‐test for normality, J. R. Stat. Soc., 44, 547

Rubin J.(2015) The carbon bubble: What happens to us when it burstsRandom House Canada.

10.1073/pnas.0601568103

10.1002/joc.1287

10.1029/2005JD007026

10.1002/2014WR015279

10.1111/gec3.12036

Shapiro S. S., 1965, An analysis of variance test for normality (complete samples), Biometrika, 591

10.1016/j.jcp.2007.01.037

10.1029/2005JD006712

10.2307/1412159

10.1016/j.atmosres.2011.06.011

10.1175/BAMS-D-11-00094.1

10.1016/S0022-1694(96)03128-9

10.1007/s10584-007-9279-7

10.1007/s00382-002-0298-9

10.1016/j.envsoft.2008.07.007

10.1002/hyp.6426

10.1007/s10584-011-0148-z

10.1175/1525-7541(2004)005<0267:SOTCHC>2.0.CO;2

10.1073/pnas.1103097108

10.1016/S0022-1694(97)00130-3

10.1029/98WR02577

10.3354/cr030079

10.1023/B:CLIM.0000013685.99609.9e

10.1002/joc.675

10.1080/02664763.2013.839637

10.1175/1520-0442(1999)012<2474:TAMAAS>2.0.CO;2

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Journal of Geophysical Research D: Atmospheres

Tập 122 Số 5

2595-2615

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