Projections of 21st century climate of the Columbia River Basin

被引:0
作者
David E. Rupp
John T. Abatzoglou
Philip W. Mote
机构
[1] Oregon State University,Oregon Climate Change Research Institute, College of Earth, Ocean, and Atmospheric Sciences
[2] University of Idaho,Department of Geography
来源
Climate Dynamics | 2017年 / 49卷
关键词
CMIP5; Projections; RCP4.5; RCP8.5; Columbia River Basin; Variability; Fidelity; Variance partition;
D O I
暂无
中图分类号
学科分类号
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 °C (5.0 °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:16
相关论文
共 50 条
[31]   Data rescue initiatives: bringing historical climate data into the 21st century [J].
Brunet, Manola ;
Jones, Phil .
CLIMATE RESEARCH, 2011, 47 (1-2) :29-40
[32]   Observation-based detection and attribution of 21st century climate change [J].
Lean, Judith L. .
WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE, 2018, 9 (02)
[33]   Projection of American dustiness in the late 21st century due to climate change [J].
Pu, Bing ;
Ginoux, Paul .
SCIENTIFIC REPORTS, 2017, 7
[34]   Arctic climate changes and possible conditions of Arctic navigation in the 21st century [J].
Khon, V. Ch. ;
Mokhov, I. I. .
IZVESTIYA ATMOSPHERIC AND OCEANIC PHYSICS, 2010, 46 (01) :14-20
[35]   A Behaviorist Manifesto for the 21st Century [J].
Baucom, Brian R. ;
Iturralde, Esti .
2012 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), 2012,
[36]   WACCM6 Projections of Polar Mesospheric Cloud Abundance Over the 21st Century [J].
Yu, Wandi ;
Yue, Jia ;
Garcia, Rolando ;
Mlynczak, Martin ;
Russell III, James .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2023, 128 (15)
[37]   A climate-change scenario for the Columbia River basin [J].
Ferguson, SA .
USDA FOREST SERVICE PACIFIC NORTHWEST RESEARCH STATION RESEARCH PAPER, 1997, (499) :CP1-&
[38]   The seasons' length in 21st century CMIP5 projections over the eastern Mediterranean [J].
Hochman, Assaf ;
Harpaz, Tzvi ;
Saaroni, Hadas ;
Alpert, Pinhas .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (06) :2627-2637
[39]   Climate change and resource management in the Columbia River basin [J].
Cohen, SJ ;
Miller, KA ;
Hamlet, AF ;
Avis, W .
WATER INTERNATIONAL, 2000, 25 (02) :253-272
[40]   Accounting for downscaling and model uncertainty in fine-resolution seasonal climate projections over the Columbia River Basin [J].
Ali Ahmadalipour ;
Hamid Moradkhani ;
Arun Rana .
Climate Dynamics, 2018, 50 :717-733