Performance of a multi-RCM ensemble for South Eastern South America

被引:0
|
作者
A. F. Carril
C. G. Menéndez
A. R. C. Remedio
F. Robledo
A. Sörensson
B. Tencer
J.-P. Boulanger
M. de Castro
D. Jacob
H. Le Treut
L. Z. X. Li
O. Penalba
S. Pfeifer
M. Rusticucci
P. Salio
P. Samuelsson
E. Sanchez
P. Zaninelli
机构
[1] Ciudad Universitaria,Centro de Investigaciones del Mar y la Atmósfera (CIMA), CONICET
[2] Ciudad Autónoma de Buenos Aires,UBA
[3] Universidad de Buenos Aires,Departamento de Ciencias de la Atmósfera y los Océanos (DCAO), FCEN
[4] UMI IFAECI/CNRS,Laboratoire de Météorologie Dynamique (LMD), Institut
[5] LOCEAN,Pierre
[6] UMR CNRS/IRD/UPMC,Simon
[7] Max Planck Institute for Meteorology (MPI-M),Laplace et Ecole Doctorale
[8] Sciences de l’Environnement en Ile de France,undefined
[9] Swedish Meteorological and Hydrological Institute (SMHI),undefined
[10] Universidad de Castilla-La Mancha (UCLM),undefined
来源
Climate Dynamics | 2012年 / 39卷
关键词
Regional climate models; Multi-RCM ensemble validation; South Eastern South America; South America;
D O I
暂无
中图分类号
学科分类号
摘要
The ability of four regional climate models to reproduce the present-day South American climate is examined with emphasis on La Plata Basin. Models were integrated for the period 1991–2000 with initial and lateral boundary conditions from ERA-40 Reanalysis. The ensemble sea level pressure, maximum and minimum temperatures and precipitation are evaluated in terms of seasonal means and extreme indices based on a percentile approach. Dispersion among the individual models and uncertainties when comparing the ensemble mean with different climatologies are also discussed. The ensemble mean is warmer than the observations in South Eastern South America (SESA), especially for minimum winter temperatures with errors increasing in magnitude towards the tails of the distributions. The ensemble mean reproduces the broad spatial pattern of precipitation, but overestimates the convective precipitation in the tropics and the orographic precipitation along the Andes and over the Brazilian Highlands, and underestimates the precipitation near the monsoon core region. The models overestimate the number of wet days and underestimate the daily intensity of rainfall for both seasons suggesting a premature triggering of convection. The skill of models to simulate the intensity of convective precipitation in summer in SESA and the variability associated with heavy precipitation events (the upper quartile daily precipitation) is far from satisfactory. Owing to the sparseness of the observing network, ensemble and observations uncertainties in seasonal means are comparable for some regions and seasons.
引用
收藏
页码:2747 / 2768
页数:21
相关论文
共 50 条
  • [1] Performance of a multi-RCM ensemble for South Eastern South America
    Carril, A. F.
    Menendez, C. G.
    Remedio, A. R. C.
    Robledo, F.
    Soerensson, A.
    Tencer, B.
    Boulanger, J. -P.
    de Castro, M.
    Jacob, D.
    Le Treut, H.
    Li, L. Z. X.
    Penalba, O.
    Pfeifer, S.
    Rusticucci, M.
    Salio, P.
    Samuelsson, P.
    Sanchez, E.
    Zaninelli, P.
    [J]. CLIMATE DYNAMICS, 2012, 39 (12) : 2747 - 2768
  • [2] Compound temperature and precipitation extreme events in southern South America: associated atmospheric circulation, and simulations by a multi-RCM ensemble
    Tencer, Barbara
    Laura Bettolli, Maria
    Rusticucci, Matilde
    [J]. CLIMATE RESEARCH, 2016, 68 (2-3) : 183 - 199
  • [3] Worsening of Heat Stress Due To Global Warming in South Korea Based on Multi-RCM Ensemble Projections
    Im, Eun-Soon
    Choi, Yeon-Woo
    Ahn, Joong-Bae
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2017, 122 (21) : 11444 - 11461
  • [4] Projected changes to precipitation extremes for northeast Canadian watersheds using a multi-RCM ensemble
    Monette, A.
    Sushama, L.
    Khaliq, M. N.
    Laprise, R.
    Roy, R.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2012, 117
  • [5] Seasonal and extreme precipitation characteristics for the watersheds of the Canadian Prairie Provinces as simulated by the NARCCAP multi-RCM ensemble
    Khaliq, M. N.
    Sushama, L.
    Monette, A.
    Wheater, H.
    [J]. CLIMATE DYNAMICS, 2015, 44 (1-2) : 255 - 277
  • [6] Seasonal and extreme precipitation characteristics for the watersheds of the Canadian Prairie Provinces as simulated by the NARCCAP multi-RCM ensemble
    M. N. Khaliq
    L. Sushama
    A. Monette
    H. Wheater
    [J]. Climate Dynamics, 2015, 44 : 255 - 277
  • [7] Future changes to drought characteristics over the Canadian Prairie Provinces based on NARCCAP multi-RCM ensemble
    Masud, M. B.
    Khaliq, M. N.
    Wheater, H. S.
    [J]. CLIMATE DYNAMICS, 2017, 48 (7-8) : 2685 - 2705
  • [8] Future changes to drought characteristics over the Canadian Prairie Provinces based on NARCCAP multi-RCM ensemble
    M. B. Masud
    M. N. Khaliq
    H. S. Wheater
    [J]. Climate Dynamics, 2017, 48 : 2685 - 2705
  • [9] Multi-RCM ensemble downscaling of NCEP CFS winter season forecasts: Implications for seasonal hydrologic forecast skill
    Shukla, Shraddhanand
    Lettenmaier, Dennis P.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2013, 118 (19) : 10770 - 10790
  • [10] Assessment and prediction of the first-flowering dates for the major fruit trees in Korea using a multi-RCM ensemble
    Hur, Jina
    Ahn, Joong-Bae
    [J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2017, 37 (03) : 1603 - 1618