AN ENHANCED ARCHIVE FACILITATING CLIMATE IMPACTS AND ADAPTATION ANALYSIS

被引:51
作者
Maurer, E. P. [1 ]
Brekke, L. [2 ]
Pruitt, T. [2 ]
Thrasher, B. [3 ,4 ]
Long, J. [5 ]
Duffy, P. [5 ]
Dettinger, M. [6 ,7 ]
Cayan, D. [6 ,7 ]
Arnold, J. [8 ]
机构
[1] Santa Clara Univ, Dept Civil Engn, Santa Clara, CA 95053 USA
[2] US Bur Reclamat, Tech Serv Ctr 86 68520, Denver, CO 80225 USA
[3] Climate Analyt Grp, Palo Alto, CA USA
[4] Climate Cent, Princeton, NJ USA
[5] Lawrence Livermore Natl Lab, Livermore, CA USA
[6] US Geol Survey, La Jolla, CA USA
[7] Univ Calif San Diego, Scripps Inst Oceanog, Div Climate Atmospher Sci & Phys Oceanog, La Jolla, CA 92093 USA
[8] US Army Corps Engineers, Inst Water Resources, Alexandria, VA USA
关键词
FUTURE; PRECIPITATION; TEMPERATURE; INFORMATION; VARIABILITY; SENSITIVITY; INCREASE; CMIP3; U.S;
D O I
10.1175/BAMS-D-13-00126.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
We describe the expansion of a publicly available archive of downscaled climate and hydrology projections for the United States. Those studying or planning to adapt to future climate impacts demand downscaled climate model output for local or regional use. The archive we describe attempts to fulfill this need by providing data in several formats, selectable to meet user needs. Our archive has served as a resource for climate impacts modelers, water managers, educators, and others. Over 1,400 individuals have transferred more than 50 TB of data from the archive. In response to user demands, the archive has expanded from monthly downscaled data to include daily data to facilitate investigations of phenomena sensitive to daily to monthly temperature and precipitation, including extremes in these quantities. New developments include downscaled output from the new Coupled Model Intercomparison Project phase 5 (CMIP5) climate model simulations at both the monthly and daily time scales, as well as simulations of surface hydrological variables. The web interface allows the extraction of individual projections or ensemble statistics for user-defined regions, promoting the rapid assessment of model consensus and uncertainty for future projections of precipitation, temperature, and hydrology. The archive is accessible online (http://gdo-dcp.ucllnl.org/downscaled_cmip_projections).
引用
收藏
页码:1011 / +
页数:10
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