Internal Variability of the Canadian RCM's Hydrological Variables at the Basin Scale in Quebec and Labrador

被引:20
作者
Braun, Marco [1 ]
Caya, Daniel [2 ]
Frigon, Anne [2 ]
Slivitzky, Michel [2 ,3 ]
机构
[1] Univ Quebec, Montreal, PQ H3C 3P8, Canada
[2] Consortium Ouranos, Montreal, PQ, Canada
[3] INRS ETE, Montreal, PQ, Canada
关键词
REGIONAL CLIMATE MODEL; LAND-SURFACE SCHEME; SIMULATIONS; SENSITIVITY; MISSISSIPPI; PROJECT; WATER; CYCLE; GCMS;
D O I
10.1175/JHM-D-11-051.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The effect of a regional climate model's (RCM's) internal variability (IV) on climate statistics of annual series of hydrological variables is investigated at the scale of 21 eastern Canada watersheds in Quebec and Labrador. The analysis is carried out on 30-yr pairs of simulations (twins), performed with the Canadian Regional Climate Model (CRCM) for present (reanalysis and global climate model driven) and future (global climate model driven) climates. The twins differ only by the starting date of the regional simulation-a standard procedure used to trigger internal variability in RCMs. Two different domain sizes are considered: one comparable to domains used for RCM simulations over Europe and the other comparable to domains used for North America. Results for the larger North American domain indicate that mean relative differences between twin pairs of 30-yr climates reach +/- 5% when spectral nudging is used. Larger differences are found for extreme annual events, reaching about +/- 10% for 10% and 90% quantiles (Q10 and Q90). IV is smaller by about one order of magnitude in the smaller domain. Internal variability is unaffected by the period (past versus future climate) and by the type of driving data (reanalysis versus global climate model simulation) but shows a dependence on watershed size. When spectral nudging is deactivated in the large domain, the relative difference between pairs of 30-yr climate means almost doubles and approaches the magnitude of a global climate model's internal variability. This IV at the level of the natural climate variability has a profound impact on the interpretation, analysis, and validation of RCM simulations over large domains.
引用
收藏
页码:443 / 462
页数:20
相关论文
共 48 条
[1]   Internal variability in regional climate downscaling at the seasonal scale [J].
Alexandru, Adelina ;
de Elia, Ramon ;
Laprise, Rene .
MONTHLY WEATHER REVIEW, 2007, 135 (09) :3221-3238
[2]   Sensitivity Study of Regional Climate Model Simulations to Large-Scale Nudging Parameters [J].
Alexandru, Adelina ;
de Elia, Ramon ;
Laprise, Rene ;
Separovic, Leo ;
Biner, Sebastien .
MONTHLY WEATHER REVIEW, 2009, 137 (05) :1666-1686
[3]  
[Anonymous], 1105 WMOTD
[4]  
[Anonymous], 2009, Eos, DOI DOI 10.1029/2009EO360002
[5]  
[Anonymous], 2009, WORLD METEOROLOGICAL
[6]  
[Anonymous], 2009, EMSEMBLES CLIMATE CH
[7]  
Brochu R, 2007, ATMOS OCEAN, V45, P19, DOI 10.3137/ao.450102
[8]   Dynamical downscaling: Assessment of value retained and added using the regional atmospheric modeling system (RAMS) [J].
Castro, CL ;
Pielke, RA ;
Leoncini, G .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2005, 110 (D5) :1-21
[9]  
Caya D, 1999, MON WEATHER REV, V127, P341, DOI 10.1175/1520-0493(1999)127<0341:ASISLR>2.0.CO
[10]  
2