Implementation of statistical data assimilation system in physical space to the global model of CPTEC / Implementação do sistema estatístico de assimilação de dados em espaço físico para o modelo global do CPTEC

AUTOR(ES)

Rosângela Saher Corrêa Cintra

DATA DE PUBLICAÇÃO

2004

RESUMO

Atmospheric data (such as temperature, moisture, winds), collected by satellites, direct measurements from upper-air instruments and ground observation stations are used in order to estimate the state of the atmosphere as precise as possible. The estimation process, denominated data assimilation consists of observations, and the physical laws, which govern the evolution of the flow. Data Assimilation in numerical weather forecasts provides a coherent state of the global atmosphere. The Center for Weather Forecast and Climatic Studies (CPTEC) is installing the global objective analysis system GPSAS (Global Physical-space Statistical Analysis System) to compute initial conditions for the global model CPTEC/COLA. The data assimilation process requests measurements of the atmosphere in real time. These observations are received in CPTEC from Global Telecommunication System (GTS). The implementation of the PSASs algorithm, code structure and the software installation on the vector computer from CPTEC, are described, as well as the investigated parallelism. The data "preprocessing" programs developed and the methods used to pre-selection the observations are also goals of this work. The observations received by the CPTEC are presented, and solutions to improve the data covering are addressed, mainly on South America.

ASSUNTO(S)

data systems numerical weather forecasting parallel programming atmospheric e oceanographic inform sys observations data acquisition asssimilation

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