Numerical study of the atmospheric composition in Bulgaria

Gadzhev, Georgi; Ganev, Kostadin; Miloshev, Nikolay; Syrakov, Dimiter; Prodanova, Maria

doi:10.1016/j.camwa.2012.07.002

Cited by 22 publications

(8 citation statements)

References 20 publications

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“…In [13] the authors present the computer requirements for 3-day real time simulations for the application. This experimental data are achieved by running the application locally on the HPC cluster.…”

Section: The Environmental Modeling Applicationmentioning

confidence: 99%

“…The environmental modeling application [13] is based on the US EPA Models-3 system -a modeling tool with simulation abilities. The system consists of three components ( Figure 1):…”

Section: The Environmental Modeling Applicationmentioning

confidence: 99%

“…Environmental modeling application components [13] The MM5 [14] is fifth generation PSU/NCAR Meso-meteorological model and is used as a meteorological preprocessor. SMOKE (Sparse Matrix Operator Kernel Emissions Modeling System) [15] is the emission pre-processor of the Models-3 system.…”

Section: The Environmental Modeling Applicationmentioning

confidence: 99%

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User-level framework for performance monitoring of HPC applications

Hristova¹,

Goranov²

2013

AIP Conference Proceedings

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HP-SEE is an infrastructure that links the existing HPC facilities in South East Europe in a common infrastructure. The analysis of the performance monitoring of the High-Performance Computing (HPC) applications in the infrastructure can be useful for the end user as diagnostic for the overall performance of his applications. The existing monitoring tools for HP-SEE provide to the end user only aggregated information for all applications. Usually, the user does not have permissions to select only the relevant information for him and for his applications. In this article we present a framework for performance monitoring of the HPC applications in the HP-SEE infrastructure. The framework provides standardized performance metrics, which every user can use in order to monitor his applications. Furthermore as a part of the framework a program interface is developed. The interface allows the user to publish metrics data from his application and to read and analyze gathered information. Publishing and reading through the framework is possible only with grid certificate valid for the infrastructure. Therefore the user is authorized to access only the data for his applications.

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Section: The Environmental Modeling Applicationmentioning

confidence: 99%

“…The environmental modeling application [13] is based on the US EPA Models-3 system -a modeling tool with simulation abilities. The system consists of three components ( Figure 1):…”

Section: The Environmental Modeling Applicationmentioning

confidence: 99%

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User-level framework for performance monitoring of HPC applications

Hristova¹,

Goranov²

2013

AIP Conference Proceedings

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“…This fact was extensively discussed in Gadzhev (2012Gadzhev ( , 2013a and was explained by the fact that for Bulgaria the local O 3 production rate is limited by the availability of NO x , a regime which is called NO x -limited. The contribution of the emission from categories 1 and 7, which are the major sources of the other ozone precursor -nitrogen oxides, is also small.…”

mentioning

confidence: 95%

“…et al, 2006) was applied for the present simulations. Details about the performance of this grid application can be seen in Gadzhev et al (2013a).…”

Section: Física De La Tierramentioning

confidence: 99%

Simulaciones computacionales del clima de Bulgaria y su composición atmosférica

et al. 2016

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Some extensive numerical simulations of the atmospheric composition fields in Bulgaria have been recently performed. The US EPA Model-3 system was chosen as a modelling tool. As the NCEP Global Analysis Data with 1 degree resolution was used as meteorological background, the MM5 and CMAQ nesting capabilities were applied for downscaling the simulations to a 3 km resolution over Bulgaria. The TNO emission inventory was used as emission input. Special pre-processing procedures are created for introducing temporal profiles and speciation of the emissions. The biogenic emissions of VOC are estimated by the model SMOKE. The simulations were carried out for years 2000-2007. The numerical experiments have been carried out for different emission scenarios, which makes it possible the contribution of emissions from different source categories to be evaluated. The Models-3 "Integrated Process Rate Analysis" option is applied to discriminate the role of different dynamic and chemical processes for the air pollution formation. The obtained ensemble of numerical simulation results is extensive enough to allow statistical treatment -calculating not only the mean concentrations and different source categories contribution mean fields, but also standard deviations, skewness, etc. with their dominant temporal modes (seasonal and/or diurnal variations). Thus some basic facts about the atmospheric composition climate of Bulgaria can be retrieved from the simulation ensemble. Key words: air pollution modelling, US EPA models-3 system, multi-scale modelling, emission scenarios, process analysis Simulaciones computacionales del clima de Bulgaria y su composición atmosférica ResumenSe han realizado simulaciones numéricas con el sistema US EPA Model-3 sobre todo el territorio de Bulgaria con una resolución horizontal de hasta 3 km en el periodo 2000-2007. Los input necesarios para activar el sistema US EPA Model-3 son, básicamente dos, datos meteorológicos del NCEP (NCEP Global Analysis Data) con 1º de resolución, y el inventario de emisiones del TNO. Aunque las emisiones biogénicas de los compuestos orgánicos volátiles (COV's) se estimaron mediante modelo SMOKE. Para poder introducir las emisiones al modelo US EPA Model-3 se realizó un procesado previo que permitía determinar sus perfiles temporales y las especificaciones para cada una de las emisiones. En las simulaciones realizadas se consideraron diferentes escenarios de emisiones de diferentes tipos de fuente. Gadzhev et al. Computer simulations of the atmospheric composition climate of BulgariaFísica de la Tierra Vol. 27 (2015) 171-189 172 Para ver la contribución de cada los procesos dinámicos y químicos en los niveles de contaminación se consideró la opción "Integrated Process Rate Analysis" del sistema US EPA Model-3. Los resultados obtenidos de las simulaciones se analizaron estadísticamente y se determinaron las concentraciones medias, la contribución de las diferentes fuentes a los campos medios, la desviación estándar, el sesgo, …, así como los modos temporales d...

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