Abstract
The ability of a nested model to accurately simulate the subarctic climate is studied here. Two issues have been investigated: Model’s internal variability (IV) and the impact of domain size (DS). For this purpose we combine the “perfect model” approach, Big-Brother Experiment (BBE) (Denis et al. in Clim Dyn 18:627–646, 2002) with the ensemble of simulations. The advantage of this framework is the possibility to study small-scale climate features that constitute the main added value of RCM. The effects of the DS on result were studied by employing two Little-Brother (LB) domain sizes. IV has been evaluated by introducing small differences in initial conditions in an ensemble of 20 simulations over each LB. Results confirm previous findings that the IV is more important over the larger domain of integration. The temporal evolution over two domain sizes is rather different and depends strongly on the synoptic situation. Small-scales solution over the larger domain diverges freely from the boundary forcing in some periods. Over the smaller domain, the amplitude of small-scale transient eddies is systematically underestimated, especially at higher altitude characterized by the strongest winds along the storm tracks. Over the larger domain, the amplitude of small-scale transient eddies is better represented. However, the weaker control by the lateral boundaries over the larger domain results in solutions with large internal variability. As a result, the ensemble average strongly underestimates the transient-eddy variance due to partial destructive interference of individual ensemble member solutions.
Similar content being viewed by others
References
Alexandru A, de Elía R, Laprise R (2007) Internal variability in Regional Climate Downscaling at the seasonal scale. Mon Weather Rev 135(9):3221–3238
Antic S, Laprise R, Denis B, de Elía R (2004) Testing the downscaling ability of a one-way nested regional climate model in regions of complex topography. Clim Dyn 23:473–493
Betchold P, Bazile E, Guichard F, Mascart P, Richard E (2001) A mass flux convection scheme for regional and global models. Q J R Meteorol Soc 127:869–886
Castro CL, Pielke RA (2005) Dynamical downscaling: assessment of value retained and added using the Regional Atmospheric Modeling System (RAMS). J Geophys Res 110:21
Caya D, Laprise R (1999) A semi-implicit semi-Lagrangian regional climate model: The Canadian RCM. Mon Weather Rev 127:341–362
Christensen JH, Machenhauer B, Jones RG, Schär C, Ruti P et al (1997) Validation of present-day regional climate simulations over Europe: LAM simulations with observed boundary conditions. Clim Dyn 13:489–506
Davies HC (1976) A lateral boundary formulation for multi-level prediction models. Q J R Meteorol Soc 102:405–418
de Elía R, Laprise R, Denis B (2002) Forecasting skill limits of nested, limited-area models: a perfect-model approach. Mon Weather Rev 130:2006–2023
de Elía R, Plummer D, Caya D, Frigon A, Côté H, Giguère M, Paquin D, Biner S, Harvey R (2007) Evaluation of uncertainties in the CRCM-simulated North American climate: nesting-related issues. Clim Dyn. doi:10.1007/s00382-007-0288-z
Denis B, Côté J, Laprise R (2002a) Spectral decomposition of two-dimensional atmospheric fields on limited-area domains using discrete cosine transform (DCT). Mon Weather Rev 130:1812–1829
Denis B, Laprise R, Caya D, Côté J (2002b) Downscaling ability of one-way nested regional climate models: The Big-Brother experiment. Clim Dyn 18:627–646
Denis B, Laprise R, Caya D (2003) Sensitivity of a regional climate model to the resolution of the lateral boundary conditions. Clim Dyn 20:107–126
Diaconescu EP, Laprise R, Sushama L (2007) The impact of lateral boundary data errors on the simulated climate of a nested regional climate model. Clim Dyn 28(4):333–350
Dimitrijevic M, Laprise R (2005) Validation of the nesting technique in a RCM and sensitivity tests to the resolution of the lateral boundary conditions during summer. Clim Dyn 25:555–580
Gal-Chen T, Somerville RCJ (1975) On the use of a coordinate transformation for the solution of the Navier-Stokes equations. J Comput Phys 17:209–228
Gates WL (1992) AMIP: the atmospheric model intercomparison project. Bull Am Meteorol Soc 73:1962–1970
Giorgi F, Bi X (2000) A study of Internal Variability of a Regional Climate Model. J Geophys Res 105(D24):29503–29521
Jones RG, Murphy JM, Noguer M (1995) Simulation of climate changes over Europe using a nested regional-climate model. Part I: assessment of control climate, including sensitivity to location of lateral boundaries. Q J R Meteorol Soc 121:1413–1449
Kain JS, Fritsch JM (1990) A one-dimensional entraining/detraining plume model and its application in convective parameterization. J Atmos Sci 47:2784–2802
Køltzow M, Iversen T, Haugen JE (2008) Extended Big-Brother experiments: the role of lateral boundary data quality and size of integration domain in regional climate modelling. Tellus 60A:398–410
Laprise R, de Elía R, Caya D, Biner S, Lucas-Picher P, Diaconescu EP, Leduc M, Alexandru A, Separovic L (2008) Challenging some tenets of Regional Climate Modelling. Meteor Atmos Phys 100, Special Issue on Regional Climate Studies: 3–22. doi:10.1007/s00703-008-0292-9
Leduc M, Laprise R (2009) Regional climate model sensitivity to domain size. Clim Dyn 32:833–854
Lucas-Picher P, Caya D, de Elía R, Laprise R (2008) Investigation of regional climate models’ internal variability with a ten-member ensemble of 10-year simulations over a large domain. Clim Dyn. doi:10.1007/s00382-008-0378-6
McFarlane NA, Boer GJ, Blanchet J-P, Lazare M (1992) The Canadian Climate Centre Second-Generation General Circulation Model and its equilibrium climate. J Clim 5:1013–1044
Pierce DW, Barnett TP, Santer BD, Gleckler P (2009) Selecting global climate models for regional climate change studies. Proc Natl Acad Sci 106(21):8441–8446
Rinke A, Dethloff K (2000) On the sensitivity of a regional Arctic climate model to initial and boundary conditions. Clim Res 14(2):101–113
Rinke A, Dethloff K, Spekat A, Enke W, Christensen JH (1999) High resolution climate simulations over the Arctic. Polar Res 18:1–9
Rinke A, Marbaix P, Dethloff K (2004) Internal variability in Arctic regional climate simulations: case study for the SHEBA year. Clim Res 27:197–209
Rinke A et al. (2006) Evaluation of an ensemble of Arctic regional climate models: Spatiotemporal fields during the SHEBA year. Clim Dyn. doi:10.1007/s00382-005-0095-3
Robert A, Yakimiw E (1986) Identification and elimination of an inflow boundary computational solution in limited area model integration. Atmos Ocean 24:369–385
Serreze MC, Lynch AH, Clark MP (2001) The Arctic frontal zone as seen in the NCEP–NCAR reanalysis. J Clim 14:1550–1567
Seth A, Giorgi F (1998) The effects of domain choice on summer precipitation simulation and sensitivity in a Regional Climate Model. J Clim 11:2698–2712
Taylor KE (2001) Summarizing multiple aspects of model performance in a single diagram. J Geophys Res 106 (D7):7183–7192
von Storch H (2005a) Models of global and regional climate. In: Anderson MG (ed) Encyclopedia of hydrological sciences. Meteorology and climatology, vol 3, pp 478-490
von Storch H (2005b) Conceptual basis and application of regional climate modeling, 26–27. In: Barring L, Laprise R (eds) High-resolution climate modelling: assessment, added value and applications extended abstracts of a WMO/WCRP-sponsored regional-scale Climate Modelling Workshop, 29 March–2 April 2004, Lund (Sweden), Lund University. Electronic Reports in Physical Geography, 132 pp
Yakimiw E, Robert A (1990) Validation experiments for a nested grid-point regional forecast model. Atmos Ocean 28:466–472
Zhang X, Walsh JE, Zhang J, Bhatt US, Ikeda M (2004) Climatology and interannual variability of Arctic Cyclone Activity: 1948–2002. J Clim 17:2300–2317
Acknowledgments
This research was done as part of the Masters research of the first author and a project within the Canadian Network for Regional Climate Modelling and Diagnostics (CRCMD), financially supported by the Canadian Foundation for the Climate and Atmospheric Sciences (CFCAS) and the Ouranos Consortium on Regional Climatology and Adaptation to Climate Change. We would like to thank Mr. Mourad Labassi, Mr. Abderrahim Khaled and Mrs. Nadjet Labassi for maintaining a user-friendly local computing facility. Thanks are also extended to the Ouranos Climate Simulation Team for their support of the CRCM software. We are also very thankful to Dr. Colin Jones for discussions regarding the choice of domain and season for this study, and to Mr. Leo Separovic for several inspiring suggestions.
Author information
Authors and Affiliations
Corresponding author
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Rapaić, M., Leduc, M. & Laprise, R. Evaluation of the internal variability and estimation of the downscaling ability of the Canadian Regional Climate Model for different domain sizes over the north Atlantic region using the Big-Brother experimental approach. Clim Dyn 36, 1979–2001 (2011). https://doi.org/10.1007/s00382-010-0845-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00382-010-0845-8