L
A
M
C
E
Luiz Paulo de Freitas Assad, D.Sc.
+55 (21) 3938-0226
lpaulo@lamce.coppe.ufrj.br
A large part of the projects developed by the core are associated with the oil and gas industry, mainly in academic and professional training, with the development of graduation papers, dissertations and theses.
Highlights
Marine hydrodynamic modeling;
Atmospheric modeling;
Modeling oil dispersion at sea;
Ocean and atmospheric climate modeling;
Remote sensing;
Oceanographic and meteorological data analysis.
Despite having specific developments and objectives, the lines of research developed at NUMA are often integrated with a view to application in environmental characterization studies and in the execution of operational work in coastal and offshore marine regions
Computational Climate Modeling
For some years now, oceanic and atmospheric climate models on a global scale have been used in a decoupled way in order to investigate the oceanic and atmospheric dynamics associated with climate variability and change.
Some examples include investigating the alteration of a climatic component and its potential impacts on the climate system. Another line of research being developed by the group is the regionalization of oceanographic climate processes.
NUMA has been developing atmospheric climate forecasts using the CAM 3.1 general circulation model
Marine Hydrodynamic Modeling
This line of research aims to obtain ocean circulation patterns with high spatial resolution for coastal marine environments, the continental shelf and adjacent ocean regions.
To do so, ocean models have been implemented and processed to understand the ocean dynamics on regional and global scales.
Regional Scale
Global Scale
Fluvial Hydrodynamic Modeling
This line of research aims to simulate river dynamics, which is extremely important for simulating river transport accidents involving oil spills and for other activities associated with water resource management.
Atmospheric modeling
This line of research aims to simulate the dynamics and thermodynamics of the atmosphere for different spatial scales and providing information that can be used in an integrated way both for the study of the dispersion of pollutants in the atmosphere, rivers and oceans and to support fluvial and marine hydrodynamic modeling.
Pollutants dispersion modeling
This line of research aims to simulate the dispersion of pollutants (oil, domestic sewage and others) in marine, fluvial and atmospheric environments
Remote Sensing
For the implementation and continuous improvement of hydrodynamic, atmospheric and pollutant dispersion modeling systems, the acquisition of environmental data is necessary. These are fundamental for the initialization, validation and calibration of the models.
The data obtained via remote sensing complement the in-situ data collection. In this way, coverage of large areas at regular time intervals is possible.
One of the systems developed for environmental monitoring is the Center for the dissemination of Environmental Satellite Data - CENDAS.
Oceanographic and meteorological data analysis
This line of research is of fundamental importance for the characterization and understanding of the Oceanic and atmospheric dynamics of a given region
The analyzed data come from local or remote data collection platforms (sensors fixed to satellites).
Another source of information widely used for climate studies in NUMA comes from databases of results of climatic computational experiments made available by national and international research institutions.
Tuition
About Us
The Environmental Modeling Core (NUMA) brings together the efforts of three UFRJ laboratories:
Laboratory of Modeling of Marine and Atmospheric Processes (LAMMA), located in the Department of Meteorology, the Laboratory of Remote Sensing by Radar applied to the Petroleum Industry (LabSAR), located in COPPE and the Laboratory of Computational Methods in Engineering (LAMCE) also located in COPPE.
NUMA has extensive experience and training in the area of computational modeling of Geophysical fluids (atmosphere and ocean). For some years now, oceanic and atmospheric computational models have been implemented and executed on different computational platforms within the framework of academic and governmental inter institutional projects, in projects with companies associated with the Oil Industry and in academic and professional training with the development of master's dissertations and doctoral theses. Such models are applied to the representation of oceanic and atmospheric flows at different spatial and temporal scales, ranging from the global to the regional scale for climate studies and operational applications.
In addition to the research area described, NUMA has been developing research lines in the areas of oil dispersion modeling at sea, remote sensing and analysis of oceanographic and meteorological data.
Partnerships
NUMA has established partnerships with research institutions and private meteorological and oceanographic consulting companies incubated at UFRJ and external, with which research and development work in the environmental area is developed. Below are listed our partners.
OilFinder provides solutions in remote technologies (remote sensing and computational modeling) applied to oil exploration and production and emergency operations in cases of oil leaks, with the aim of generating information of great added value for the oil and gas industry.
PROOCEANO is a company that operates in the area of oceanography, providing analysis, monitoring and forecasting services of ocean dynamics.
Environmental Modeling
Climate, oceanic and atmospheric monitoring
Technical Coordination
NUMA has been developing research and academic training activities in the following lines of research:
Marine hydrodynamic modeling;
Atmospheric modeling;
Modeling oil dispersion at sea;
Ocean and atmospheric climate modeling;
Remote sensing;
Oceanographic and meteorological data analysis.
Despite having specific developments and objectives, the lines of research developed at NUMA are often integrated with a view to application in environmental characterization studies and in the execution of operational work in coastal and offshore marine regions
Computational Climate Modeling
For some years now, oceanic and atmospheric climate models on a global scale have been used in a decoupled way in order to investigate the oceanic and atmospheric dynamics associated with climate variability and change.
Some examples include investigating the alteration of a climatic component and its potential impacts on the climate system. Another line of research being developed by the group is the regionalization of oceanographic climate processes.
NUMA has been developing atmospheric climate forecasts using the CAM 3.1 general circulation model
Marine Hydrodynamic Modeling
This line of research aims to obtain ocean circulation patterns with high spatial resolution for coastal marine environments, the continental shelf and adjacent ocean regions.
To do so, ocean models have been implemented and processed to understand the ocean dynamics on regional and global scales.
Regional Scale
Global Scale
Fluvial Hydrodynamic Modeling
This line of research aims to simulate river dynamics, which is extremely important for simulating river transport accidents involving oil spills and for other activities associated with water resource management.
Atmospheric modeling
This line of research aims to simulate the dynamics and thermodynamics of the atmosphere for different spatial scales and providing information that can be used in an integrated way both for the study of the dispersion of pollutants in the atmosphere, rivers and oceans and to support fluvial and marine hydrodynamic modeling.
Pollutants dispersion modeling
This line of research aims to simulate the dispersion of pollutants (oil, domestic sewage and others) in marine, fluvial and atmospheric environments
Remote Sensing
For the implementation and continuous improvement of hydrodynamic, atmospheric and pollutant dispersion modeling systems, the acquisition of environmental data is necessary. These are fundamental for the initialization, validation and calibration of the models.
The data obtained via remote sensing complement the in-situ data collection. In this way, coverage of large areas at regular time intervals is possible.
One of the systems developed for environmental monitoring is the Center for the dissemination of Environmental Satellite Data - CENDAS.
Oceanographic and meteorological data analysis
This line of research is of fundamental importance for the characterization and understanding of the Oceanic and atmospheric dynamics of a given region
The analyzed data come from local or remote data collection platforms (sensors fixed to satellites).
Another source of information widely used for climate studies in NUMA comes from databases of results of climatic computational experiments made available by national and international research institutions.
Tuition
Academic training
The group has been working on the academic training of students involved in the research projects
Scientific Production
Publications
Abstracts and papers
published at conferences
Courses
Environmental Analyst in the Petroleum
Industry
Basic notions of Meteorology
and Oceanography
Basic notions of Hydrodynamic Modeling
and Oil Dispersion
About Us
The Environmental Modeling Core (NUMA) brings together the efforts of three UFRJ laboratories:
Laboratory of Modeling of Marine and Atmospheric Processes (LAMMA), located in the Department of Meteorology, the Laboratory of Remote Sensing by Radar applied to the Petroleum Industry (LabSAR), located in COPPE and the Laboratory of Computational Methods in Engineering (LAMCE) also located in COPPE.
NUMA has extensive experience and training in the area of computational modeling of Geophysical fluids (atmosphere and ocean). For some years now, oceanic and atmospheric computational models have been implemented and executed on different computational platforms within the framework of academic and governmental inter institutional projects, in projects with companies associated with the Oil Industry and in academic and professional training with the development of master's dissertations and doctoral theses. Such models are applied to the representation of oceanic and atmospheric flows at different spatial and temporal scales, ranging from the global to the regional scale for climate studies and operational applications.
In addition to the research area described, NUMA has been developing research lines in the areas of oil dispersion modeling at sea, remote sensing and analysis of oceanographic and meteorological data.
Partnerships
NUMA has established partnerships with research institutions and private meteorological and oceanographic consulting companies incubated at UFRJ and external, with which research and development work in the environmental area is developed. Below are listed our partners.
OilFinder provides solutions in remote technologies (remote sensing and computational modeling) applied to oil exploration and production and emergency operations in cases of oil leaks, with the aim of generating information of great added value for the oil and gas industry.
PROOCEANO is a company that operates in the area of oceanography, providing analysis, monitoring and forecasting services of ocean dynamics.
Customized Computational Solutions for Complex Engineering and Geoscience Problems.
Get to Know Us
Specializations
Designed and developed by LAMCE ICT
Lattes Resume
