HR: 10:35h
AN: H52A-02 INVITED     [Abstracts]
TI: Satellite Rainfall Estimates And Prediction Of Extreme Precipitation Events Over The Mexico City Basin.
AU: * Magaña, V
EM: victormr@servidor.unam.mx
AF: Universidad Nacional Autonoma de Mexico, Centro de Ciencias de la Atmosfera UNAM, Mexico CIty, DF 04510, Mexico
AU: Montero, G
EM: gmontero@atmosfera.unam.mx
AF: Universidad Nacional Autonoma de Mexico, Centro de Ciencias de la Atmosfera UNAM, Mexico CIty, DF 04510, Mexico
AU: Zarraluqui, V
EM: vzs1@atmosfera.unam.mx
AF: Universidad Nacional Autonoma de Mexico, Centro de Ciencias de la Atmosfera UNAM, Mexico CIty, DF 04510, Mexico
AU: Garcia, F
EM: ffgg@atmosfera.unam.mx
AF: Universidad Nacional Autonoma de Mexico, Centro de Ciencias de la Atmosfera UNAM, Mexico CIty, DF 04510, Mexico
AB: Precipitation estimation schemes using remote sensors in satellites have been developed over the last three decades. The most interesting fact of the Tropical Rainfall Measuring Mission (TRMM) platform is the conjunction of passive and active sensors in order to obtain precipitation estimates over the ocean and remote continental regions. Comparisons of rainfall estimates for the Mexico City metropolitan area were made with data interpolated from TRMM and a dense rain gauge network. Results show good agreement between the data sets for both spatial distribution of rain and rain intensity estimations. The estimates have been used to test the ability of a mesoscale weather prediction model to predict extreme events based on a simple 1-2-3 rule. Results show that the model underestimates amounts of intense precipitation events, except when convective activity is organized by synoptic scale circulations such as easterly waves.
DE: 1817 Extreme events
DE: 1840 Hydrometeorology
SC: Hydrology [H]
MN: 2007 Joint Assembly