Intercomparison and Evaluation of MM5 and Meso-NH mesoscale models in the stable boundary layer
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Atmospheric numerical models depend critically on realistic treatment of the lower boundary conditions. In strongly thermally-stratified conditions, turbulence may be very weak and the models may find it difficult to produce a good forecast near the surface. Under clear skies and for weak synoptic winds the determining factors are the turbulent kinetic energy and surface-layer parameterizations, which can be very different between models. Here, two state-of-the-art mesoscale models (MM5 and Meso-NH) are operated under exactly the same conditions for two different nights over the Duero basin in the Iberian Peninsula: one night with a well-defined synoptic wind and a second with practically no horizontal pressure gradient. The models are inter-compared and checked against available information, and their performances are evaluated.
KeywordsMesoscale models Surface-layer parameterizations Strong thermally- stratified conditions
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- Cuxart J, Yagüe C, Morales G, Terradellas E, Orbe J, Calvo J, Fernández A, Soler MR, Infante C, Buenestado P, Espinalt A, Joergensen HE, Rees JM, Vilà J, Redondo JM, Cantalapiedra I and Conangla L (2000a). Stable Atmospheric Boundary-Layer Experiment in Spain (SABLES 98): A Report. Boundary-Layer Meteorol 96: 337–370 CrossRefGoogle Scholar
- Dudhia J, Gill D, Manning K, Wang W, Bruyere C (2004) PSU/ NCAR mesoscale modeling system tutorial class notes and user’s guide: MM5 modeling system version 3. NCAR. http://www.mmm.ucar.edu/mm5/documents/tutorial-v3-notes.html.
- Grell GA, Dudhia J, Stauffer DR (1994) A description of the fifth generation Penn State/NCAR Mesoscale Model (MM5). NCAR Tech. Note. NCAR/TN-398+STRGoogle Scholar
- Jollife I, Ebert B (2007) How do I know whether one forecast system performs significantly better than another? Available via http://www.bom.gov.au/bmrc/wefor/staff/eee/verif/verif_web_page.html
- Lafore JP, Stein J, Asencio N, Bougeault P, Ducronq V, Duron J, Fisher C, Hereil P, Mascart P, Pinty JP, Redespelger JL, Richard E and Vilà-Gueraude Arellano J (1998). The Meso-NH atmospheric simulation system. Part I: Adiabatic formulation and control simulation. Annales Geophys 16: 90–109 CrossRefGoogle Scholar
- Masson V, Champeaux JL, Chauvin F, Meriguet C and Lacaze R (2003). A global database of land surface parameters at 1-km resolution in meteorological and climate models. J Climate 9: 1261–1282 Google Scholar
- Morcrette JJ (1989) Description of the radiation scheme in the ECMWF model. ECMWF Tech Memo 165, Research Department ECMWF, Reading, United KingdomGoogle Scholar
- Peixoto J and Oort A (1992). Physics of climate. Springer-Verlag, New York, pp 520 Google Scholar
- Pielke RA, Pearce RP (eds) (1994) Mesoscale modeling of the atmosphere. Meteor Monogr, No. 47, Amer Meteorol SocGoogle Scholar
- Soler MR, Bravo M and Ortega S (2007). The use of meteorological and dispersion models in stratified boundary layers. Dev Environ Sci 6: 199–208 Google Scholar