Simulation of a baroclinic wave with the WRF regional model: Sensitivity to the initial conditions in an ideal and a real experiment

A sensitivity study to perturbations in the initial conditions in a simulated evolution of a baroclinic wave using the Weather Research and Forecasting (WRF) regional model is discussed in this paper. With the goal of analysing the impacts of these perturbations in the context of weather forecast an...

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Autor principal: Blázquez, J.
Otros Autores: Pessacg, N.L, Gonzalez, P.L.M
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: 2013
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100 1 |a Blázquez, J. 
245 1 0 |a Simulation of a baroclinic wave with the WRF regional model: Sensitivity to the initial conditions in an ideal and a real experiment 
260 |c 2013 
270 1 0 |m Blázquez, J.; Centro de Investigaciones del Mar y la Atmósfera (CIMA/CONICET-UBA), Departamento de Ciencias de la Atmósfera y los Océanos (DCAO/FCEN), UMI IFAECI/CNRS, Ciudad Universitaria Pabellón II Piso 2, Buenos Aires, Argentina; email: blazquez@cima.fcen.uba.ar 
506 |2 openaire  |e Política editorial 
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504 |a Janjic, Z.I., (2002), p. 61. , Nonsingular implementation of the Mellor-Yamada level 2.5 scheme in the NCEP Meso model. NCEP Office Note No. 437, pp; Kain, J.S., Fritsch, J.M., A one-dimensional entraining/detraining plume model and its application in convective parameterization (1990) J. Atmos. Sci., 47, pp. 2784-2802 
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504 |a Kessler, E., (1969) On the Distribution and Continuity of Water Substance in Atmospheric Circulation, p. 84. , Meteorological Monographs, Vol. 32. American Meteorological Society: Boston, MA.pp 
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504 |a Patil, D.J., Hunt, B.R., Kalnay, E., Yorke, J.A., Ott, E., Local low dimensionality of atmospheric dynamics (2001) Phys. Rev. Lett., 86, pp. 5878-5881. , DOI: 10.1103/PhysRevLett.86.5878 
504 |a Possia, N., Cerne, B., Campetella, C., A diagnostic analysis of the Río de la Plata superstorm, May 2000 (2003) Meteorol. Appl., 10, pp. 87-99 
504 |a Sinclair, M.R., A climatology of cyclogenesis for the Southern Hemisphere (1995) Mon. Weather Rev., 123, pp. 1601-1619 
504 |a Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Barker, D.M., Duda, M.G., Huang, X., Powers, J.G., (2008), p. 113. , A description of the advanced research WRF version 3. NCAR Technical note NCAR/TN-475 + STR, pp; Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Barker, D.M., Wang, W., Powers, J.G., (2005), p. 88. , A description of the advanced research WRF version 2. NCAR Tech. Note NCAR/TN-468&STR, pp; Tan, Z., Zhang, F., Rotuno, R., Zinder, C., Mesoscale predictability of moist baroclinic waves: experiments with parameterized convection (2004) J. Atmos. Sci., 61, pp. 1794-1804 
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520 3 |a A sensitivity study to perturbations in the initial conditions in a simulated evolution of a baroclinic wave using the Weather Research and Forecasting (WRF) regional model is discussed in this paper. With the goal of analysing the impacts of these perturbations in the context of weather forecast and also with the aim of exploring the presence of preferred directions of growth in the errors, two cases were analysed: an ideal experiment using a case study available from the WRF set-up and a simulation of a real evolution of a mid-latitude cyclone over Southeastern South America (SESA) and the Atlantic Ocean. In the ideal experiment two spatial structures were considered for the perturbations, random and sinusoidal noise, while for the real experiment only sinusoidal structures were considered. These perturbations were then applied to the initial conditions of temperature and zonal wind. Additionally, simulations with an increment in atmospheric moisture were performed for the real experiment. It was found in both real and ideal cases that the temperature errors tend to organize in a preferable direction of growth, although this direction changes depending on the case considered. Results also show that perturbations in temperature field lead to larger error than perturbing the zonal wind. Finally, the increment of moisture did not produce significant changes in the distribution or intensity of the errors in the real case. © 2012 Royal Meteorological Society.  |l eng 
593 |a Centro de Investigaciones del Mar y la Atmósfera (CIMA/CONICET-UBA), Departamento de Ciencias de la Atmósfera y los Océanos (DCAO/FCEN), UMI IFAECI/CNRS, Ciudad Universitaria Pabellón II Piso 2, Buenos Aires, Argentina 
593 |a Centro Nacional Patagónico (CENPAT/CONICET), Puerto Madryn, Chubut, Argentina 
593 |a International Research Institute for Climate and Society, Earth Institute, Columbia University, Palisades, NY, United States 
690 1 0 |a CYCLONE 
690 1 0 |a ERROR GROWTH 
690 1 0 |a INITIAL CONDITIONS 
690 1 0 |a PERTURBATIONS 
690 1 0 |a WRF MODEL 
651 4 |a SOUTHEASTERN SOUTH AMERICA 
700 1 |a Pessacg, N.L. 
700 1 |a Gonzalez, P.L.M. 
773 0 |d 2013  |g v. 20  |h pp. 447-456  |k n. 4  |p Meteorol. Appl.  |x 13504827  |t Meteorological Applications 
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