The SegHidro Experience: Using the Grid to Empower a Hydro-Meteorological Scientific Network

Araujo, Eliane Pawlowski de Oliveira; Cirne, Walfredo; Wagner, G.; Oliveira, N.; Souza, Ênio Pereira de; Galvão, Carlos de Oliveira; Martins, Eduardo

doi:10.1109/e-science.2005.80

Cited by 8 publications

(5 citation statements)

References 15 publications

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“…Since then, successive BRAMS versions are widely used in production mode at regional and statewide weather forecast centers and in research mode for the atmospheric and environmental sciences at universities all over Brazil. Follow-on projects such as GBRAMS (Souto et al, 2007) and SegHidro (Araujo et al, 2005) disseminated BRAMS as a platform for computer sciences research (e.g. Fazenda et al, 2006).…”

Section: Model Descriptionmentioning

confidence: 99%

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

et al. 2009

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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.

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Section: Model Descriptionmentioning

confidence: 99%

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

et al. 2009

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“…The SegHidro [2] project tackles the problem of hydrological safety, involving hydro-meteorological applications. Similarly, it also employs a web portal, interfacing with the OurGrid system.…”

Section: Related Workmentioning

confidence: 99%

Processing Mesoscale Climatology in a Grid Environment

Souto

Ávila

Navaux

et al. 2007

Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07)

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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 for Brazil. A grid infrastructure was built to perform long-term integrations of a mesoscale numerical model (BRAMS), managing a queue of up to nine independent jobs submitted to three clusters spread over Brazil. Three distinct middlewares, Globus Toolkit, OurGrid and OAR/CIGRI, were compared in their ability to manage these jobs, and results on the usage of each node of the grid are provided. We analyze the impact of the resulted climatology in the accuracy of climate forecast, showing model bias removal which indicates correctness of the generated climatology. Our central contribution are how to use grid computing to speed-up climatology generation and the middleware impact on this enterprise.

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“…Based on the SegHidro experience [4], we assume a workload of an application running in a twenty-machines cluster during approximately 12 hours, on a daily basis. We define an efficiency coefficient e p to establish the provider's cost per cycle.…”

Section: A Scenarios Descriptionmentioning

confidence: 99%

“…(See http://status.ourgrid.org/ for an up to date snapshot of the running system.) The OurGrid Community has been used in a variety of areas, from engineering [4] to bioinformatics [5], from computer science [6] to financial applications [7]. In particular, OurGrid supports the cooperative work of a community of meteorologists and hydrologists, both in the academia and in the government [4], [8].…”

Section: Introductionmentioning

confidence: 99%

On the planning of a hybrid IT infrastructure

Ditarso

Figueiredo

Maia

et al. 2008

NOMS 2008 - 2008 IEEE Network Operations and Management Symposium

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With the emergence of utility computing and the continuous search for reducing the cost of running Information Technology (IT) infrastructures, we will soon experience an important change on the way these infrastructures are assembled, configured and managed. In this paper we consider the problem of managing a hybrid high-performance computing infrastructure whose processing elements comprise in-house dedicated machines, a utility computing service provider, and idle machines from a best-effort peer-to-peer grid. This infrastructure supports the execution of both best-effort and real-time applications. Realtime applications use primarily computing power from the inhouse machines and any processing power that can be attained from the best-effort grid. Extra capacity required to meet deadlines is purchased from the utility computing service provider. This extra capacity is reserved for future use through short term contracts which are negotiated with no human intervention. We take a business-driven approach for the management of this hybrid infrastructure and propose heuristics that can be used by a contract planner agent to reduce the cost of running the applications at the same time that guarantees that deadlines are met. In particular, we show that constructing an estimation for the behavior of the grid is essential for making contracts that lead to high efficiency in the use of the hybrid infrastructure.

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The SegHidro Experience: Using the Grid to Empower a Hydro-Meteorological Scientific Network

Cited by 8 publications

References 15 publications

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

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

Processing Mesoscale Climatology in a Grid Environment

On the planning of a hybrid IT infrastructure

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