@InProceedings{FerreiraGoSiVeKhSa:2016:OpHiRe,
author = "Ferreira, Camila Cossetin and Gon{\c{c}}alves, Luis Gustavo
Gon{\c{c}}alves de and Silveira, Bruna and Vendrasco, Eder Paulo
and Khamis, Eduardo Georges and Sapucci, Luiz Fernando",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "An operational high resolution ensemble kalman filter data
assimilation cycle over South America",
booktitle = "Abstracts...",
year = "2016",
organization = "European Geophysical Society General Assembly",
note = "Gesophysical Research Abstracts, v.18",
abstract = "The brazilian Center for Weather Forecast and Climate Studies
(CPTEC/INPE) has recently initiated an effort to develop
operationally a high resolution probabilistic mesoscale analysis
over the continental South America and portions of the surrounding
south Pacific and Atlantic oceans. This work presents a high
resolution regional ensemble Kalman filter (EnKF) system with the
WRF model. It uses the gridpoint statistical interpolation (GSI)
mantained by the Developmental Testbed Center (DTC) for
observational data processing and observation operators. The
initial tests were run at approximately 9 Km of spatial resolution
and 20 members with 6-hourly data assimilation cycles using all
regional observations and selected satellite radiances (AMSU-A,
MHS and HIRS). The impact of the choice of covariance localization
and covariance inflation in the model performance is assessed to
demonstrate the sensitive to the tunning. A two-weeks simulation
is performed to illustrate the system adjustment (spin up) and how
the model errors and innovation respond during the first days of
run. Furthermore, the relative contribution of satellite
brightness temperature assimilation to the analysis increments is
also evaluated.",
conference-location = "Vienna, Austria",
conference-year = "17-22 Apr.",
language = "en",
targetfile = "cossetin.pdf",
urlaccessdate = "27 abr. 2024"
}