http://www.cnr.it/ontology/cnr/individuo/prodotto/ID44826
Intercomparison of two models, ETA and RAMS, with TRACT field campaign data (Articolo in rivista)
- Type
- Label
- Intercomparison of two models, ETA and RAMS, with TRACT field campaign data (Articolo in rivista) (literal)
- Anno
- 2004-01-01T00:00:00+01:00 (literal)
- Alternative label
S. Trini Castelli, S. Morelli, D. Anfossi, J. Carvalho, S. Zauli Sajani (2004)
Intercomparison of two models, ETA and RAMS, with TRACT field campaign data
in Environmental fluid mechanics (2001)
(literal)
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- S. Trini Castelli, S. Morelli, D. Anfossi, J. Carvalho, S. Zauli Sajani (literal)
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- Rivista
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- ISI Web of Science (WOS) (literal)
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- National Research Council, Institute of Atmospheric Sciences and Climate, Torino, Italy;
University of Modena and Reggio Emilia, Department of Physics, Modena, Italy;
Lutheran University of Brazil Canoas, RS, Brazil;
Regional Agency for Environmental Protection, Modena, Italy (literal)
- Titolo
- Intercomparison of two models, ETA and RAMS, with TRACT field campaign data (literal)
- Abstract
- In this work a model intercomparison between RAMS and ETA models is carried out, with the aim of evaluating the quality and accuracy of these mesoscale models in reproducing the time evolution of the meteorology in real complex terrain. This is of great importance not only for meteorological forecast but also for air quality assessment. Numerical simulations are performed to reproduce the mean variablesÂ’ fields and to compare them with measurements collected during the field campaign TRACT. The domain covers the Rhine valley and surrounding mountainous region and we consider a time period of two days. Results from simulations are compared to observations relative to ground stations and radiosoundings. A qualitative analysis is joined to a quantitative estimation of some reference statistical indexes. Both RAMS and ETA models performances are satisfactory when compared to the measured data and also their relative agreement is good. The mean variable fields are reproduced with a satisfactory degree of reliability, even if the simulated profiles are not able to describe the largest fluctuations of the variables. At the surface stations, the best agreement between predictions and observations is obtained for the wind velocity, while the quality of the results is lower for temperature and humidity. (literal)
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