
Eugenio Almeida- National Institute for Space Research
Eugenio Almeida
- National Institute for Space Research
About
37
Publications
4,086
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
57
Citations
Introduction
Eugenio Almeida currently works at the Center for Weather Forecasting and Climate Studies, National Institute for Space Research, Brazil. Eugenio research includes Distributed Computing and Computer Science. His most recent publication is 'Exploratory study of the ELK stack for meteorological observation system data analysis'.
Current institution
Publications
Publications (37)
Meteorological observation systems are extremely data-driven. However, several factors affect measurements, which require the use of environmental metrology techniques to increase the quality of measurements, decrease errors and evaluate measurements uncertainty. In this paper, we propose and develop a framework that integrates, process and visuali...
The metrological metadata propagation contributes significantly to improve the data analysis of the meteorological observation systems. An overview of the scenarios data and metadata treatment in environmental monitoring is presented in this article. We also discussed the ways of use of the calibration results on the meteorological measurement syst...
This paper describes a methodology for working with distributed systems, and achieve performance in Big Data, through the framework Hadoop, Python programming language, and Apache Hive module. The efficiency of the proposed methodology is tested through a case study that addresses a real problem found in the supercomputing environment of the Center...
This paper investigates the performance of a weather forecasting application (Brazilian developments on the regional atmospheric modelling system - BRAMS) on high performance computing (HPC) clusters with a multi-core architecture. We simulated atmosphere conditions over South America for 24 hours ahead using the BRAMS, aiming to understand the imp...
The LAG-Clima project leads with web-computing environment for data-grid and processing-grid. The goal is to establish a computer network linking institutions on South America for climate prediction on meso-scale, and to share and analyze data. Software platforms: BRAMS meteorological meso-scale code, OurGrid middleware (grid computing), OAR system...
This paper discusses the challenges of executing a long-term application on a computational grid, which generates the climatology of the atmospheric numerical model BRAMS (Brazilian development on Regional Atmospheric Modeling System) using ensemble members. We have developed a workflow that submits climatology to the computational grid composed by...
Este trabalho tem como objetivo apresentar soluções para execução de modelos
numéricos atmosféricos em recursos computacionais distribuídos (grades computacionais)
utilizando portais. As funcionalidades destas soluções são: simplicidade na utilização dos
recursos computacionais e na configuração dos modelos, monitoramento da aplicação, e
visualizaç...
This paper investigates the performance of a weather forecasting application (Brazilian Regional Atmospheric Modeling System - BRAMS) on a number of selected HPC clusters in order to understand the impact of different architectural configurations on its performance and scalability. We simulated atmosphere conditions over South America for 24 hours...
This paper gives an overview of SAEMC (South American Emissions, Megacities and Climate) project cyberinfrastructure. This cyberinfrastructure consists of a set of High Performance Computing (HPC) clusters, situated in Chile and Brazil and interconnected by Grid Technology (gLite). As obtaining computing resource allocation, connecting from the com...
SAEMC project (South American Emissions, Megacities and Climate) focus in providing more reliable regional emissions and climate change scenarios for South America, as well establishing the basis for operational chemical weather forecast for South American megacities. CCATT-BRAMS (Coupled Chemistry, Aerosol and Tracers Transport model to the Brazil...
Enhancing the quality of weather and climate forecasts are central scientific research objectives worldwide. However, simulations of the atmosphere, usually demand high processing power and large storage resources. In this context, we present the GBRAMS project, that applies grid computing to speed up the generation of a regional model climatology...
This paper discusses the challenges of executing a long-term application on a computational grid, which generates the climatology of the atmospheric numerical model BRAMS (Brazilian development on Regional Atmospheric Modeling System) using ensemble members. We have developed a workflow that submits climatology to the computational grid composed by...
This paper shows case studies of Grid Computing applied to meteorology, developed at CPTEC/INPE. Initially, its presented computing areas that can benefit from this technology (on-demand computing, collaborative computing, high-throughput computing, data-intensive computing and distributed supercomputing) and possible uses in meteorology. CPTEC/INP...
O Metview é um sistema para acesso, manipulação e visualização de dados meteorológicos. O Banco de Dados Meteorológicos (BDM) foi desenvolvido devido à necessidade do armazenamento eficiente dos dados observacionais enviados através do sistema GTS (Global Telecommunication System). O CPTEC/INPE interconectou esses sistemas de forma a melhorar a man...
This paper describes the methodology used to obtain the radar data collected during the São Francisco Project campaign. The airborne interferometry X-band SAR of high resolution AeS-1 is configured with a dual antenna with the following characteristics: operation frequency of 9.6GHz, bandwidth of 400MHz,
1.8m of baseline, imaging range up to 14 km,...
A new Visualization System is being studied in order to help the meteorologists with weather and climate forecast. This system calls SpreadSheet/VisAD and has interesting features. The presentation and modification of data on screen is done interactively through the mapping editor and control panel, which facilitates the work of the meteorologists,...
This paper discusses the software Metview (meteorological data visualization and processing tool). First of all, we introduce some features of the actual version (1.7). The new version (2.0) of Metview is undergoing for a major structural revision, where the design has been changed. This new release of the software shows its evolution with the inte...
The European Centre for Medium Range Weather Forecast (ECMWF) recompile 15 year of meteorological data in order to have a new and validate data-set. The "Centro de Previsão de Tempo e Estudos Climáticos" (CPTEC) have acquired this data-set and the data access, manipulation and visualization is being done by the software METVIEW. For this purpose so...
This work analyzed the relationship between precipitation and NDVI (normalized difference vegetation index) in the Amazon Basin for the period of January 1982 to December 1990. The precipitation data were obtained from DNAEE (Brazilian National Department of Water and Electrical Energy) from the ground stations available throughout the Amazon and t...
Nos dias atuais, dentro do escopo do Sensoriamento Remoto, cada dia se faz necessario o conhecimento real da situacao da superficie terrestre para a determinacao quantitativa de informaçoes sobre os mais diferentes alvos. Atualmente os trabalhos de campo para a obtencao das informacoes dos alvos terrestres tem utilizado um importante equipamento de...
Maximum NDVI composites of NOAA-AVHRR GAC data and monthly precipitation records from the ground network of weather stations (August 1981 to January 1985)of vegetation covers of the Amazonia region were analyzed to verify the relationship between NDVI and precipitation at different climatic/vegatation classes selected. NDVI mean values for Dense Fo...
A method for converting SGI information planes into ARC/INFO coverage is presented, including the conversion of geometric (lines and polygons) and attribute (SGI classes) data. The method is being used for generating ARCI/INFO data from deforestation, vegetation and other data of the Amazonia Information System, a geo-referenced data base for Amazo...
The VIS5D is a system for visualizing data made by numerical weather models and similar
sources. It's discussed some features of VIS5D and some limitations of running it on DIGITAL
platforms. It's also presented the possibility of repetitive jobs elimination on VIS5D through the use of scripting language Tcl/Tk. Finally it's shown some examples gen...
This paper describes a solution for continuing displaying meteorological data in real time. It presents the necessity for that and the tools we used. Some fields visualized in real time are also presented. Finally it's discussed some problems and the solutions.
A previsão de tempo e do clima, nos dias de hoje, requer um grande número de dados, afim de se obter com maior precisão possível os resultados das variações atmosféricas. Estes estudos são a partir de dados provenientes de imagens de satélites, dados observacionais, modelos de previsão de tempo e outros. Os Modelos Numéricos de Previsão de Tempo e...
O Gridded Data Viewer (GDV) é um sistema de visualização de modelos meteorológicos desenvolvido pela "University Corporation for Atmospheric Research" que possibilita a visualização dos dados em três dimensões. O objetivo deste trabalho foi adaptar uma nova interface ao sistema GDV, tomando assim possível a entrada de dados gerados pelos Modelos Nu...
A determinação da climatologia de modelos meteorológicos, com técnicas de ensemble, necessita recursos computacionais com alto poder computacional devido à grande quantidade de dados que processa. Por se tratar de uma aplicação cuja execução ocorre de forma independente, é adequada para grade computacional pois possibilita que este esforço computac...