Large-scale secondary circulations in a limited area model – the impact of lateral boundaries and resolution
By: Nico Becker, Uwe Ulbrich and Rupert Klein
References
- Becker
, N., Ulbrich, U.and Klein, R. 2015. Systematic large-scale secondary circulations in a regional climate model. Geophys. Res. Lett. 42, 4142– 4149. DOI: 10.1002/2015GL063955. - Bhaskaran
, B., Jones, R. G., Murphy, J. M.and Noguer, M. 1996. Simulations of the Indian summer monsoon using a nested regional climate model: domain size experiments. Clim. Dynam. 12, 573– 587. DOI: 10.1007/BF00216267. - Broccoli
, A. J.and Manabe, S. 1992. The effects of orography on midlatitude northern hemisphere dry climates. J. Climate. 5, 1181– 1201. DOI: 10.1175/1520-0442(1992)005 ;< 1181:TEOOOM>2.0.CO;2. - Costa
, A. C., Santos, J. A.and Pinto, J. G. 2012. Climate change scenarios for precipitation extremes in Portugal. Theor. Appl. Climatol. 108, 217– 234. DOI: 10.1007/s00704-011-0528-3. - Davies
, H. C. 1976. A lateral boundary formulation for multi-level prediction models. Q. J. Roy. Meteor. Soc. 102, 405– 418. - Denis
, B, Laprise, R., Caya, D.and Côté, J. 2002. Downscaling ability of one-way nested regional climate models: the big-brother experiment. Clim. Dyn. 18, 627– 646. DOI: 10.1007/s00382-001-0210-0. - Denis
, B., Laprise, R.and Caya, D. 2003. Sensitivity of a regional climate model to the resolution of the lateral boundary conditions. Clim. Dyn. 20, 107– 126. DOI: 10.1007/s00382-002-0264-6. - Diaconescu
, E. P.and Laprise, R. 2013. Can added value be expected in RCM-simulated large scales?. 41, 1769– 1800. DOI: 10.1007/s00382-012-1649-9. - Doms
, G., Förstner, J., Heise, R., Herzog, H.-J., Mironov, D. and co-authors. 2011. A Description of the Nonhydrostatic Regional COSMO Model – Part II: Physical Parameterization. Deutscher Wetterdienst, Offenbach, Germany. - Feser
, F., Rockel, B., von Storch, H., Winterfeldt, J.and Zahn, M. 2011. Regional climate models add value to global model data: a review and selected examples. Bull. Amer. Meteor. Soc. 92, 1181– 1192. DOI: 10.1175/2011BAMS3061.1. - Giorgi
, F., Coppola, E., Solmon, F., Mariotti, L., Sylla, M. B. and co-authors. 2012. RegCM4: model description and preliminary tests over multiple CORDEX domains. Clim. Res. 52, 7– 29. DOI: 10.3354/cr01018. - Goswami
, P., Shivappa, H.and Goud, S. 2012. Comparative analysis of the role of domain size, horizontal resolution and initial conditions in the simulation of tropical heavy rainfall events. Met. Apps. 19, 170– 178. DOI: 10.1002/met.253. - Hollweg
, H. D., Boehm, U., Fast, I., Hennemuth, B., K. and co-authors. 2008. Ensemble simulations over Europe with the regional climate model CLM forced with IPCC AR4 global scenarios . M & D Tech. Rep. 3, 154. - Jacob
, D., Bärring, L. , Christensen, O. B. , Christensen, J. H., De Castro, M, and co-authors . 2007. An inter-comparison of regional climate models for Europe: model performance in present-day climate. Clim. Chang. 81, 31– 52. DOI: 10.1007/s10584-006-9213-4. - Jacob
, D., Petersen, J., Eggert, B., Alias, A., Christensen, O. B. and co-authors. 2014. EURO-CORDEX: new high-resolution climate change projections for European impact research. Reg. Environ. Change, 563– 578. DOI: 10.1007/s10113-013-0499-2. - Jaeger
, E. B., Anders, I., Lüthi, D., Rockel, B., Schär, C. and co-authors. 2008. Analysis of ERA40‐driven CLM simulations for Europe. Metz. 17, 349– 367. DOI: 10.1127/0941-2948/2008/0301. - Jones
, R. G., Murphy, J. M.and Noguer, M. 1995. Simulation of climate change over Europe using a nested regional-climate model. I: Assessment of control climate, including sensitivity to location of lateral boundaries. QJ. Royal Met. Soc. 121, 1413– 1449. DOI: 10.1002/qj.49712353802. - Jungclaus
, J. H., Keenlyside, N., Botzet, M., Haak, H., Luo, J.-J. and co-authors. 2006. Ocean circulation and tropical variability in the coupled model ECHAM5/MPI-OM. J. Climate, 3952– 3972. DOI: 10.1175/JCLI3827.1. - Kljun
, N., Sprenger, M.and Schär, C. 2001. Frontal modification and lee cyclogenesis in the Alps: a case study using the ALPEX reanalysis data set. Meteorol. Atmos. Phys. 78, 89– 105. DOI: 10.1007/s007030170008. - Koltzow
, M., Iversen, T.and Haugen, J. E. 2008. Extended big-brother experiments: the role of lateral boundary data quality and size of integration domain in regional climate modelling. Tellus A, 398– 410. DOI: 10.1111/j.1600-0870.2008.00309.x. - Kunz
, M., Mohr, S., Rauthe, M., Lux, R.and Kottmeier, C. 2010. Assessment of extreme wind speeds from regional climate models-part 1: estimation of return values and their evaluation. Nat. Hazards Earth Syst. Sci. 10, 907. DOI: 10.5194/nhess-10-2010. - Larsen
, M. A. D., Thejll, P., Christensen, J. H., Refsgaard, J. C.and Jensen, K. H. 2013. On the role of domain size and resolution in the simulations with the HIRHAM region climate model. Clim. Dyn. 40, 2903– 2918. DOI: 10.1007/s00382-012-1513-y. - Lorenzo
, M. N., Taboada, J. J.and Gimeno, L. 2008. Links between circulation weather types and teleconnection patterns and their influence on precipitation patterns in Galicia (NW Spain). Int. J. Climatol. 28, 1493– 1505. DOI: 10.1002/joc.1646. - Matte
, D., Laprise, R., Thériault, J. M.and Lucas-Picher, P. 2017. Spatial spin-up of fine scales in a regional climate model simulation driven by low-resolution boundary conditions. Clim. Dyn. 49, 563– 574. DOI: 10.1007/s00382-016-3358-2. - Mazza
, E., Ulbrich, U.and Klein, R. 2017. The tropical transition of the October 1996 medicane in the western Mediterranean Sea: a warm seclusion event. Mon. Wea. Rev. 145, 2575– 2595. DOI: 10.1175/MWR-D-16-0474.1. - Miguez-Macho
, G., Stenchikov, G. L.and Robock, A. 2004. Spectral nudging to eliminate the effects of domain position and geometry in regional climate model simulations. J. Geophys. Res.-Atmos. 109, D13104. DOI: 10.1029/2003JD004495. - Noyelle
, R., Ulbrich, U., Becker, N.and Meredith, E. P. 2018. Assessing the impact of SSTs on a simulated medicane using ensemble simulations. Nat. Hazards Earth Syst. Sci. Discuss. DOI: 10.5194/nhess-2018-230, in review. - Pardowitz
, T., Befort, D. J., Leckebusch, G. C.and Ulbrich, U. 2016. Estimating uncertainties from high resolution simulations of extreme wind storms and consequences for impacts. Metz. 25, 531– 541. DOI: 10.1127/metz/2016/0582. - Radu
, R., Déqué, M.and Somot, S. 2008. Spectral nudging in a spectral regional climate model. Tellus A, 898– 910. DOI: 10.1111/j.1600-0870.2008.00341.x. - Raymond
, W. H. 1988. High-order low-pass implicit tangent filters for use in finite area calculations. Mon. Wea. Rev. 116, 2132– 2141. DOI: 10.1175/1520-0493(1988)116 ;< 2132:HOLPIT >2.0.CO;2. - Reyer
, C., Lasch-Born, P., Suckow, F., Gutsch, M., Murawski, A. and co-authors. 2014. Projections of regional changes in forest net primary productivity for different tree species in Europe driven by climate change and carbon dioxide. Ann. Forest Sci. 71, 211– 225. DOI: 10.1007/s13595-013-0306-8. - Rockel
, B., Castro, C. L., Pielke, R. A., V., Storch, H. and Leoncini, G. 2008. Dynamical downscaling: assessment of model system dependent retained and added variability for two different regional climate models. J. Geophys. Res.-Atmos. 113, D21107. DOI: 10.1029/2007JD009461. - Roeckner
, E., Brokopf, R., Esch, M., Giorgetta, M., Hagemann, S. and co-authors. 2006. Sensitivity of simulated climate to horizontal and vertical resolution in the ECHAM5 atmosphere model. J. Climate. 19, 3771– 3791. DOI: 10.1175/JCLI3824.1. - von Storch
, H., Langenberg, H.and Feser, F. 2000. A spectral nudging technique for dynamical downscaling purposes. Mon. Wea. Rev. 128, 3664– 3673. DOI: 10.1175/1520-0493(2000)128h3664:ASNTFDi2.0.CO;2.
DOI: https://doi.org/10.1080/16000870.2018.1548869 | Journal eISSN: 3035-9554
Language: English
Page range: 1548869 - 1548869
Published on: Jan 1, 2018
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2018 Nico Becker, Uwe Ulbrich, Rupert Klein, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.