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Grid applications for air quality studies in Bulgaria. Environmental VO , SEE-GRID-SCI. Kostadin Ganev, Nikolai Miloshev, Angelina Todorova, Georgi Jordanov Geophysical Institute, BAS Emanouil Atanasov, Todor Gurov, Aneta Karaivanova Institute for Parallel Processing, BAS
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Grid applications for air qualitystudies in Bulgaria Environmental VO, SEE-GRID-SCI Kostadin Ganev, Nikolai Miloshev, Angelina Todorova, Georgi Jordanov Geophysical Institute, BAS Emanouil Atanasov, Todor Gurov, Aneta Karaivanova Institute for Parallel Processing,BAS Dimiter Syrakov, Maria Prodanova, Valeri Spiridonov National Institute of Meteorology and Hydrology,BAS EGEE’09 conference, Barcelona, 21-25 September 2009
SEE-GRID-SCI Contract n°: RI-211338 Project type: I3 Start date: 01/05/2008 Duration: 24 months Web site: www.see-grid-sci.eu Contact person: Dr. Ognjen Prnjat, GRNET
SEE-GRID-SCI: The partnership Contractors GRNET Greece CERN Switzerland SZTAKI Hungary IPP-BAS Bulgaria ICI Romania TUBITAK Turkey ASA/INIMA Albania UoBL Bosnia-Herzegovina UKIM FYR of Macedonia UOB Serbia UoM Montenegro RENAM Moldova RBI Croatia IIAP-NAS-RAArmenia GRENA Georgia Third Party / JRU mechanism used associate universities / research centres
SEE-GRID-SCI : converged communication and service infrastructure for SEE
SEE-GRID-SCI : Environmental VO 2 main application domains: Environmental protection/response and geomagnetism Environment-oriented satellite image processing 5 core applications: Multi-scale atmospheric composition modeling (MSACM) Modeling System for Emergency Response to the Release of Harmful Substances in the Atmosphere (MSERRHSA) Monte Carlo Sensitivity Analysis for Environmental Systems Climate Change Impact on AQ (CCIAQ) Environment Oriented Satellite Data Processing + related applications
MSACM - Main Features GRID environment based integrated, multi-scale Balkan region oriented AQ modelling system Study the atmospheric pollution transport and transformation processes (accounting also for heterogeneous chemistry and the importance of aerosols for air quality and climate) from urban to local to regional (Balkan) scales; Track and characterize the main pathways and processes that lead to atmospheric composition formation in different scales; Provide high quality scientifically robust assessments of the air quality and its origin, thus facilitating formulation of pollution mitigation strategies at national and Balkan level.
MSACM - Application on the Grid The application is resource intensive and in perspective will have definitive response time limits. It requires computational, storage and networking capacity which is beyond the capabilities of the Geophysical Institute. The application is currently deployed at production-level. The applications input data con be divided into several parts – some of them are more static and some of them vary with the jobs. The total input data can be up to 20 GB. The output data produced for one run is between 1 and 10 GB depending on the inputs. The relatively more static parts of the input will be installed in the Environmental VO application directory taking < 20 GB. The varying input will be transferred from the storage element and the results will be uploaded to the storage element and registered in the LFC. In perspective this application will have hard requirements on the time to finish a computations. Thus eventually it will require MPI with guaranteed startup.
MSACM Grid-mode tests: Country-to-country pollution exchange on the Balkans according to EMEP methodology
MSACM Grid-mode tests: Country-to-country “blame” matrixes on the Balkans according to EMEP methodology
MSACM Grid-mode tests: Country-to-country ozone pollution exchange on the Balkans evaluated in terms of “number of bad days”
MSACM Grid-mode tests: Example of local-scale simulations – sulfur pollution from “Maritza-Iztok” TPPs
MSERRHSA Main Features GRID basedmodelling system for operational response to accidental releases of harmful gases in the atmosphere Performs highly accurate and reliable risk analysis and assessment for selected “hot spots” In case of emergency provides short-term local to regional scale forecast of the propagation of harmful gases Performs, in an off-line mode, a more detailed and comprehensive analysis of the possible longer-term impacts on the environment and human health
MSERRHSA - Application on the Grid The application is resource intensive – requires computational and storage capacity which is outside of the capabilities of the Geophysical Institute. The application is currently testing Grid mode on one cluster with MPI. The applications input data con be divided into several parts – some of them are more static and some of them vary with the jobs. The total input data is several GB. The output data produced for one run is between 1 and 7 GB depending on the inputs. The relatively more static parts of the input will be installed in the Environmental VO application directory taking < 10 GB. The varying input will be transferred from the storage element and the results will be uploaded to the storage element and registered in the LFC. The application can also be run as series of jobs depending on the inputs.
“preparedness” mode tests: accidental Chlorine release in “VEREJA-HIM” JAMBOL – averaged surfaceCl2 concentrations for January 2008 for two release times to = 2:00 to = 14:00
“preparedness” mode tests: accidental Chlorine release in “VEREJA-HIM” JAMBOL – averaged surfaceCl concentrations for January 2008 for two release times to = 2:00 to = 14:00
“preparedness” mode tests: accidental Chlorine release in “VEREJA-HIM” JAMBOL – averaged surfaceHCl concentrations for January 2008 for two release times to = 2:00 to = 14:00
“preparedness” mode tests: accidental Chlorine release in “VEREJA-HIM” JAMBOL – averaged surfaceHOCl concentrations for January 2008 for two release times to = 2:00 to = 14:00
CCIAQ - Main Features GRID environment based integrated, regional scale AQ modelling system Part of coordinated efforts for central and eastern Europe climate change impact and vulnerability assessment Will perform simulations for 3 time slashes: 1991-2000 (Control Run), 2041-2050 (Near Future) and 2091-2100 (Far Future) Study the sensitivity of air-pollution levels in Bulgaria to potential climate change based on data analysis of long-term simulations of Air Quality Models (AQM) driven by Regional Climate Models (RCM) for present climate and for future projections Track and characterize the main pathways and processes that link regional climate and atmospheric composition formation in regional scale