Enriched Analyses with Assimilation of SALLJEX Data
Author(s) -
Yanina García Skabar,
Matilde Nicolini
Publication year - 2009
Publication title -
journal of applied meteorology and climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.079
H-Index - 134
eISSN - 1558-8432
pISSN - 1558-8424
DOI - 10.1175/2009jamc2091.1
Subject(s) - data assimilation , mesoscale meteorology , environmental science , data set , climatology , meteorology , computer science , representation (politics) , horizontal resolution , set (abstract data type) , geology , geography , politics , political science , law , programming language , artificial intelligence
This paper aims at generating a set of enriched analyses by assimilating the data collected during the South American Low-Level Jet Experiment (SALLJEX) in southeastern South America during the summer season 2002/03. The analyses are generated with the Brazilian Regional Atmospheric Modeling System (BRAMS) using all available observations and achieving 20-km horizontal resolution and 3-h temporal resolution. This paper describes the methods used to generate and evaluate the analyses. The results indicate that the method is appropriate because data assimilation provides an improved fit between analyses and observations. In addition, enriched analyses show a better representation of mesoscale structure in case studies. This satisfactory evaluation allows one to use the set of analyses to perform case studies at higher resolution than is currently available, with the certainty that these analyses reproduce the atmospheric conditions better than those that do not assimilate data.
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