scholarly journals Evaluation of the Wind Power in the State of Paraíba Using the Mesoscale Atmospheric Model Brazilian Developments on the Regional Atmospheric Modelling System

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Francisco José Lopes de Lima ◽  
Enilson Palmeira Cavalcanti ◽  
Enio Pereira de Souza ◽  
Emerson Mariano da Silva
Keyword(s):  
Wind Speed ◽  
Wind Power ◽  
Atmospheric Model ◽  
Atmospheric Modeling ◽  
The State ◽  
Regional Atmospheric Modeling System ◽  
Wind Regime ◽  
Regional Atmospheric Modelling System ◽  
Mesoscale Atmospheric Model ◽  
Regional Atmospheric Modeling

This work aims to describe the wind power density in five sites in the State of Paraiba, as well as to access the ability of the mesoscale atmospheric model Brazilian developments on the regional atmospheric modeling system (BRAMS) in describing the intensity of wind in São Gonçalo Monteiro, Patos, Campina Grande, and João Pessoa. Observational data are wind speed and direction at 10 m high, provided by the National Institute of Meteorology (INMET). We used the numerical model BRAMS in simulations for two different months. We ran the model for rainy months: March and April. It was concluded that the BRAMS model is able to satisfactorily reproduce the monthly cycle of the wind regime considered, as well as the main direction. However the model tends to underestimate the wind speed.

scholarly journals Uso do Modelo Brams na Obtenção da Precipitação para Entrada em Modelo Hidrológico Concentrado (Use of Brams Model in Obtaining the Precipitation for Input in Concentrated Hydrological Model)

2012 ◽  
Vol 5 (4) ◽  
pp. 890
Author(s):  
Everson Batista Mariano ◽  
Enilson Palmeira Cavalcanti ◽  
José Flávio Portela Soares ◽  
Herika Pereira Rodrigues
Keyword(s):  
Hydrological Model ◽  
Atmospheric Model ◽  
Atmospheric Modeling ◽  
Rainfall Runoff ◽  
Regional Atmospheric Modeling System ◽  
Vapor Flux ◽  
Atmospheric Research ◽  
The Mean ◽  
Areal Rainfall ◽  
Regional Atmospheric Modeling

Foram feitas comparações entre a média da precipitação observada na bacia hidrográfica do Rio Piancó com a precipitação média obtida de duas diferentes formas: 1) gerada pelo modelo atmosférico por intermédio de parametrização e 2) obtida pelo balanço hídrico da atmosfera a partir de dados do modelo. O objetivo principal é de avaliar a geração de dados de precipitação por modelo atmosférico para entrada em modelos hidrológicos concentrados, tipo chuva-vazão, possibilitando previsões de vazões. Foram estabelecidos quatro períodos de dez dias para os meses de fevereiro de 2006, 2004 e 2003 e março de 2005. O modelo atmosférico de mesoescala utilizado foi o Brazilian developments on the Regional Atmospheric Modeling System (BRAMS). Foram utilizados dados de reanalises do National Centers for Environment Prediction/National Center for Atmospheric Research (NCEP/NCAR) para efetuar as simulações em menor escala. Os resultados revelam aspectos interessantes na distribuição de precipitação sobre a bacia. Os dados de precipitação gerados através do BRAMS subestimaram os dados observados, entretanto, apresentam boa correlação. Os resultados demonstram que o modelo BRAMS constitui-se em ferramenta importante para fornecer dados de entrada para modelos concentrados de chuva-vazão possibilitando a previsão de vazões. Palavras chave: fluxo de vapor d’água, modelo BRAMS, chuva-vazão  Use of Brams Model in Obtaining the Precipitation for Input in Concentrated Hydrological Model  ABSTRACT Comparisons were made between the mean observed areal rainfall in the Piancó River basin with the mean rainfall obtained through two different ways: 1) generated by the atmospheric model through parameterization and 2) obtained by atmospheric water balance from the model data. The main purpose is to evaluate the precipitation data generated by the atmospheric model to be used as input in concentrated hydrological models, rainfall-runoff models, allowing runoff predictions . Four periods of ten days each were selected in February, 2003, 2004, 2006, and March, 2005. The mesoscale atmospheric model used was the Brazilian developments on the Regional Atmospheric Modeling System (BRAMS). Data from National Centers for Environment Prediction/National Center for Atmospheric Research (NCEP/NCAR) Reanalysis were used to make the simulations on finer scale. The results show interesting aspects in the distribution of rainfall over the basin. Rainfall data generated by BRAMS underestimated the observed data; however, it shows good correlation. The results also show that the BRAMS model is an important tool to provide input data to concentrated rainfall-runoff models. Keywords: water vapor flux, BRAMS model, rainfall-runoff

Investigation of the Summer Climate of the Contiguous United States and Mexico Using the Regional Atmospheric Modeling System (RAMS). Part II: Model Climate Variability

2007 ◽  
Vol 20 (15) ◽  
pp. 3866-3887 ◽  
Author(s):  
Christopher L. Castro ◽  
Roger A. Pielke ◽  
Jimmy O. Adegoke ◽  
Siegfried D. Schubert ◽  
Phillip J. Pegion
Keyword(s):  
United States ◽  
Climate Model ◽  
Weather Prediction ◽  
Regional Climate ◽  
Summer Rainfall ◽  
Atmospheric Modeling ◽  
Regional Atmospheric Modeling System ◽  
Prediction Mode ◽  
Regional Atmospheric Modeling ◽  
Seasonal Weather

Abstract Summer simulations over the contiguous United States and Mexico with the Regional Atmospheric Modeling System (RAMS) dynamically downscaling the NCEP–NCAR Reanalysis I for the period 1950–2002 (described in Part I of the study) are evaluated with respect to the three dominant modes of global SST. Two of these modes are associated with the statistically significant, naturally occurring interannual and interdecadal variability in the Pacific. The remaining mode corresponds to the recent warming of tropical sea surface temperatures. Time-evolving teleconnections associated with Pacific SSTs delay or accelerate the evolution of the North American monsoon. At the period of maximum teleconnectivity in late June and early July, there is an opposite relationship between precipitation in the core monsoon region and the central United States. Use of a regional climate model (RCM) is essential to capture this variability because of its representation of the diurnal cycle of convective rainfall. The RCM also captures the observed long-term changes in Mexican summer rainfall and suggests that these changes are due in part to the recent increase in eastern Pacific SST off the Mexican coast. To establish the physical linkage to remote SST forcing, additional RAMS seasonal weather prediction mode simulations were performed and these results are briefly discussed. In order for RCMs to be successful in a seasonal weather prediction mode for the summer season, it is required that the GCM provide a reasonable representation of the teleconnections and have a climatology that is comparable to a global atmospheric reanalysis.

scholarly journals The Mars Regional Atmospheric Modeling System (MRAMS): Current Status and Future Directions

Atmosphere ◽  
2019 ◽  
Vol 10 (12) ◽  
pp. 747 ◽  
Author(s):  
Scot Rafkin ◽  
Timothy Michaels
Keyword(s):  
Numerical Experiments ◽  
Atmospheric Modeling ◽  
Lessons Learned ◽  
Current Status ◽  
Regional Atmospheric Modeling System ◽  
Future Directions ◽  
Current State ◽  
Development Plans ◽  
Regional Atmospheric Modeling ◽  
Physical Parameterizations

The Mars Regional Atmospheric Modeling System (MRAMS) is closing in on two decades of use as a tool to investigate mesoscale and microscale circulations and dynamics in the atmosphere of Mars. Over this period of time, there have been numerous improvements and additions to the model dynamical core, physical parameterizations, and framework. At the same time, the application of the model to Mars (and related code for other planets) has taught many lessons about limitations and cautions that should be exercised. The current state of MRAMS is described along with a review of prior studies and findings utilizing the model. Where appropriate, lessons learned are provided to help guide future users and aid in the design and interpretation of numerical experiments. The paper concludes with a discussion of future MRAMS development plans.

scholarly journals The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): an integrated environmental model tuned for tropical areas

2016 ◽  
Author(s):  
Saulo R. Freitas ◽  
Jairo Panetta ◽  
Karla M. Longo ◽  
Luiz F. Rodrigues ◽  
Demerval S. Moreira ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
South America ◽  
Atmospheric Chemistry ◽  
Amazon Basin ◽  
Carbon Dioxide Concentration ◽  
Atmospheric Modeling ◽  
Tracer Transport ◽  
Regional Atmospheric Modeling System ◽  
Near Surface ◽  
Regional Atmospheric Modeling

Abstract. We present a new version of the Brazilian developments on the Regional Atmospheric Modeling System where different previous versions for weather, chemistry and carbon cycle were unified in a single integrated software system. The new version also has a new set of state-of-the-art physical parameterizations and greater computational parallel and memory usage efficiency. Together with the description of the main features are examples of the quality of the transport scheme for scalars, radiative fluxes on surface and model simulation of rainfall systems over South America in different spatial resolutions using a scale-aware convective parameterization. Besides, the simulation of the diurnal cycle of the convection and carbon dioxide concentration over the Amazon Basin, as well as carbon dioxide fluxes from biogenic processes over a large portion of South America are shown. Atmospheric chemistry examples present model performance in simulating near-surface carbon monoxide and ozone in Amazon Basin and Rio de Janeiro megacity. For tracer transport and dispersion, it is demonstrated the model capabilities to simulate the volcanic ash 3-d redistribution associated with the eruption of a Chilean volcano. Then, the gain of computational efficiency is described with some details. BRAMS has been applied for research and operational forecasting mainly in South America. Model results from the operational weather forecast of BRAMS on 5 km grid spacing in the Center for Weather Forecasting and Climate Studies, INPE/Brazil, since 2013 are used to quantify the model skill of near surface variables and rainfall. The scores show the reliability of BRAMS for the tropical and subtropical areas of South America. Requirements for keeping this modeling system competitive regarding on its functionalities and skills are discussed. At last, we highlight the relevant contribution of this work on the building up of a South American community of model developers.

scholarly journals Estimativa de radiação solar via modelagem atmosférica de mesoescala aplicada à região nordeste do Brasil

2009 ◽  
Vol 24 (3) ◽  
pp. 339-345 ◽  
Author(s):  
Otacilio Leandro De Menezes Neto ◽  
Alexandre Araújo Costa ◽  
Fernando Pinto Ramalho
Keyword(s):  
Atmospheric Modeling ◽  
Regional Atmospheric Modeling System ◽  
Regional Atmospheric Modeling

A utilização de fontes alternativas de energias, como a solar, a eólica e a biomassa, vem crescendo significativamente nos últimos anos, sendo a energia solar, em particular, uma fonte abundante na região Nordeste do Brasil. O conhecimento preciso da radiação solar incidente é, assim, de grande importância para o planejamento energético brasileiro, servindo de base para o desenvolvimento de futuros projetos de plantas fotovoltaicas e de aproveitamento da energia solar. Este trabalho apresenta uma metodologia para o mapeamento da energia solar incidente ao nível do solo para a região Nordeste do Brasil, utilizando um modelo atmosférico de mesoescala (Regional Atmospheric Modeling System - RAMS), validado e ajustado por meio dos dados medidos pela rede de plataformas de coleta de dados (PCDs) da Fundação Cearense de Meteorologia e Recursos Hídricos (FUNCEME). Os resultados mostraram que o modelo apresenta erros sistemáticos, sobreestimando a radiação na superfície, porém após as devidas correções estatísticas, utilizando-se uma relação entre a fração de cobertura de nuvens prevista pelo modelo e a radiação observada na superfície e estimada no topo da atmosfera, encontram-se correlações de 0,92 com intervalos de confiança de 13,5 W/m² para dados com base mensal. Usando essa metodologia, a estimativa do valor médio anual (após ajustes) da radiação solar incidente no estado do Ceará é de 215 W/m² (máximo em outubro: 260 W/m²).

scholarly journals The Application of an Evolutionary Algorithm to the Optimization of a Mesoscale Meteorological Model

2009 ◽  
Vol 48 (2) ◽  
pp. 317-329 ◽  
Author(s):  
Lance O’Steen ◽  
David Werth
Keyword(s):  
Cost Function ◽  
Evolutionary Algorithm ◽  
Synthetic Data ◽  
Atmospheric Model ◽  
Atmospheric Modeling ◽  
Model Parameters ◽  
Meteorological Model ◽  
Rms Error ◽  
Mesoscale Atmospheric Model ◽  
The Cost

Abstract It is shown that a simple evolutionary algorithm can optimize a set of mesoscale atmospheric model parameters with respect to agreement between the mesoscale simulation and a limited set of synthetic observations. This is illustrated using the Regional Atmospheric Modeling System (RAMS). A set of 23 RAMS parameters is optimized by minimizing a cost function based on the root-mean-square (rms) error between the RAMS simulation and synthetic data (observations derived from a separate RAMS simulation). It is found that the optimization can be done with relatively modest computer resources; therefore, operational implementation is possible. The overall number of simulations needed to obtain a specific reduction of the cost function is found to depend strongly on the procedure used to perturb the “child” parameters relative to their “parents” within the evolutionary algorithm. In addition, the choice of meteorological variables that are included in the rms error and their relative weighting are also found to be important factors in the optimization.

scholarly journals The Coupled Aerosol and Tracer Transport model to the Brazilian developments on the Regional Atmospheric Modeling System (CATT-BRAMS) – Part 1: Model description and evaluation

2009 ◽  
Vol 9 (8) ◽  
pp. 2843-2861 ◽  
Author(s):  
S. R. Freitas ◽  
K. M. Longo ◽  
M. A. F. Silva Dias ◽  
R. Chatfield ◽  
P. Silva Dias ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Carbon Monoxide ◽  
Biomass Burning ◽  
Transport Model ◽  
Aerosol Particles ◽  
Atmospheric Modeling ◽  
Tracer Transport ◽  
Regional Atmospheric Modeling System ◽  
Biomass Burning Aerosol ◽  
Regional Atmospheric Modeling

Abstract. We introduce the Coupled Aerosol and Tracer Transport model to the Brazilian developments on the Regional Atmospheric Modeling System (CATT-BRAMS). CATT-BRAMS is an on-line transport model fully consistent with the simulated atmospheric dynamics. Emission sources from biomass burning and urban-industrial-vehicular activities for trace gases and from biomass burning aerosol particles are obtained from several published datasets and remote sensing information. The tracer and aerosol mass concentration prognostics include the effects of sub-grid scale turbulence in the planetary boundary layer, convective transport by shallow and deep moist convection, wet and dry deposition, and plume rise associated with vegetation fires in addition to the grid scale transport. The radiation parameterization takes into account the interaction between the simulated biomass burning aerosol particles and short and long wave radiation. The atmospheric model BRAMS is based on the Regional Atmospheric Modeling System (RAMS), with several improvements associated with cumulus convection representation, soil moisture initialization and surface scheme tuned for the tropics, among others. In this paper the CATT-BRAMS model is used to simulate carbon monoxide and particulate material (PM2.5) surface fluxes and atmospheric transport during the 2002 LBA field campaigns, conducted during the transition from the dry to wet season in the southwest Amazon Basin. Model evaluation is addressed with comparisons between model results and near surface, radiosondes and airborne measurements performed during the field campaign, as well as remote sensing derived products. We show the matching of emissions strengths to observed carbon monoxide in the LBA campaign. A relatively good comparison to the MOPITT data, in spite of the fact that MOPITT a priori assumptions imply several difficulties, is also obtained.

Sign in / Sign up

Export Citation Format

Share Document