HR: 11:50h
AN: A42A-07    [Abstracts]
TI: A Multiscale Four-Dimensional Data Assimilation System Applied in the Mexico City Valley
AU: * Parra, D
EM:
AF: Departamento de Sistemas, División de Ciencias Básicas e Ingeniería, Universidad Autónoma Metropolitana, Azcapotzalco, Av. San Pablo 180, Col. Reynosa Tamaulipas, Mexico, DF 02200, Mexico
AU: Hernandez, F
EM:
AF: Dirección General de Gestión Ambiental del Aire. Secretaría del Medio Ambiente, Gobierno del Distrito Federal, Agricultura No. 21, 1er Piso, Col. Escandón, Del. Miguel Hidalgo, Mexico, DF 11800, Mexico
AU: Gonzalez, J I
EM: gtji@correo.azc.uam.mx
AF: Departamento de Sistemas, División de Ciencias Básicas e Ingeniería, Universidad Autónoma Metropolitana, Azcapotzalco, Av. San Pablo 180, Col. Reynosa Tamaulipas, Mexico, DF 02200, Mexico
AU: Ortiz, E
EM: meorv@correo.azc.uam.mx
AF: Departamento de Sistemas, División de Ciencias Básicas e Ingeniería, Universidad Autónoma Metropolitana, Azcapotzalco, Av. San Pablo 180, Col. Reynosa Tamaulipas, Mexico, DF 02200, Mexico
AU: Hoyos, L F
EM: hrlf@correo.azc.uam.mx
AF: Departamento de Sistemas, División de Ciencias Básicas e Ingeniería, Universidad Autónoma Metropolitana, Azcapotzalco, Av. San Pablo 180, Col. Reynosa Tamaulipas, Mexico, DF 02200, Mexico
AB: Several modeling studies have shown that four-dimension data assimilation (FDDA) has the ability to improve the simulations of wind, temperature, moisture and mixed layer depth. These works concluded that modeling with FDDA can produce spatially consistent solutions without degrading important dynamical processes. Additionally, it is widely recognized that MM5 with FDDA can be used to develop realistic three-dimensional fields that are completely suited as inputs to air quality or diagnostic meteorological models. In this work, MM5 and FDDA were used to model the weather conditions in the Mexico City Metropolitan Area (MCMA). The surface information was obtained from "Red Automática de Monitoreo Atmosférico (RAMA)" data bases. Sounding data were obtained from "Servicio Meteorológico Nacional". Four simulation domains were used with spatial resolutions of 27, 9, 3, and 1 Km2 respectively. In this work, 15 surface weather stations and 30 sounding points were employed. With this technique, weather predictions have correlation levels higher than 80%. Additionally, these predictions were used as input of the photochemical model MCCM and an important influence on pollutants concentration and dispersion predictions was observed.
DE: 0345 Pollution: urban and regional (0305, 0478, 4251)
SC: Atmospheric Sciences [A]
MN: 2007 Joint Assembly