Projections of 21st century climate of the Columbia River Basin

被引:53
作者
Rupp, David E. [1 ]
Abatzoglou, John T. [2 ]
Mote, Philip W. [1 ]
机构
[1] Oregon State Univ, Oregon Climate Change Res Inst, Coll Earth Ocean & Atmospher Sci, Corvallis, OR USA
[2] Univ Idaho, Dept Geog, Moscow, ID 83843 USA
基金
美国食品与农业研究所;
关键词
CMIP5; Projections; RCP4.5; RCP8.5; Columbia River Basin; Variability; Fidelity; Variance partition; CALIFORNIA WINTER PRECIPITATION; TEMPERATURE VARIABILITY; INTERANNUAL TEMPERATURE; SURFACE-TEMPERATURE; MULTIMODEL ENSEMBLE; ATMOSPHERIC RIVERS; FUTURE CLIMATE; MODEL; CMIP5; EXTREMES;
D O I
10.1007/s00382-016-3418-7
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Simulations from 35 global climate models (GCMs) in the Coupled Model Intercomparison Project Phase 5 provide projections of 21st century climate in the Columbia River Basin under scenarios of anthropogenic activity given by Representative Concentration Pathways (RCP4.5 and RCP8.5). The multi-model ensemble 30-year mean annual temperature increases by 2.8 A degrees C (5.0 A degrees C) by late 21st century under RCP4.5 (RCP8.5) over the 1979-1990 baseline, with 18% (24%) more warming in summer. By late 21st century, annual precipitation increases by 5% (8%), with an 8% (14%) winter increase and a 4% (10%) summer decrease, but because some models project changes of opposite sign, confidence in these sign changes is lower than those for temperature. Four questions about temperature and precipitation changes were addressed: (1) How and why do climate projections vary seasonally? (2) Is interannual variability in seasonal temperature and precipitation projected to change? (3) What explains the large inter-model spread in the projections? (4) Do projected changes in climate depend on model skill? Changes in precipitation and temperature vary seasonally as a result of changes in large-scale circulation and regional surface energy budget, respectively. Interannual temperature variability decreases slightly during the cool seasons and increases in summer, while interannual precipitation variability increases in all seasons. The magnitude of regional warming is linked to models' global climate sensitivity, whereas internal variability dominates the inter-model spread of precipitation changes. Lastly, GCMs that better reproduce historical climate tend to project greater warming and larger precipitation increases, though these results depend on the evaluation method.
引用
收藏
页码:1783 / 1799
页数:17
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