ICAROS: An Integrated Computational Environment for the Assimilation of Environmental Data and Models for Urban and Regional Air Quality

Sarigiannis, D; Soulakellis, Nikolaos; Schäfer, Klaus; Tombrou, M.; Sifakis, N.; Assimakopoulos, D.N.; Lointier, Marc; Dantou, A.; Saisana, Michaela

doi:10.1007/978-94-010-0312-4_46

Cited by 11 publications

(13 citation statements)

References 8 publications

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“…As it is usually assumed that most aerosol particles that are responsible for the optical depth of the atmosphere are confined to the mixing layer, the knowledge of the depth of the mixing layer can also be employed to convert optical depths measured from satellites into near-surface air quality information (Sarigiannis et al 2002(Sarigiannis et al , 2004Sifakis et al 1998Sifakis et al , 2003.…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing Methods to Investigate Boundary-layer Structures relevant to Air Pollution in Cities

Emeis¹,

Schäfer²

2006

Boundary-Layer Meteorol

113

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Simultaneous surface-based remote sensing with optical (Ceilometer) and acoustic (Sodar) methods allows the diurnal variation of the structure of the atmospheric boundary layer to be deduced with high temporal resolution. Primarily the convective boundary layer, the nocturnal stable surface layer, and the residual layer can be identified from the measured vertical profiles of aerosol concentration and thermal fluctuations. The ability of the two remote sensing techniques is shown in different examples from two different locations and two seasons. The impact on urban air quality assessment is addressed.

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Section: Introductionmentioning

confidence: 99%

Remote Sensing Methods to Investigate Boundary-layer Structures relevant to Air Pollution in Cities

Emeis¹,

Schäfer²

2006

Boundary-Layer Meteorol

113

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“…The ICE allows for the assimilation of a large amount of various data sources that can be visualized by a range of decision makers. 68 ICEs differ from PSEs in one part due to the wide range of problems that the environments are capable of solving. In order to solve these range of problems the environments are designed to modular relying on plugins to interpret the problem in order to be visualized by the environment.…”

Section: Integrated Computational Environmentsmentioning

confidence: 99%

An Overview of Computational Environments for Engineering

Sloan

McCorkle

Bryden

2013

51st AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition

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The integrated computational environment has remained some sort of a unicorn since it was first postulated in the 1960's. Some of the most important components to these environments are used in their own stand alone systems such as problem solving environments, model integration frameworks, and virtual environments. Characteristics of these systems have been identified creating a checklist upon which these and other environments can be compared in order to determine the actuality of integrated computational environment. Finally, the future of integrated computational environments are discussed including the ancillary components that will soon be included that create a complete design envelope within one single virtual space. Disciplines Mechanical Engineering CommentsThis is a preprint of a proceeding from the 51st AIAA Aerospace Sciences Meeting, doi:10.2514/6.2013-285. The integrated computational environment has remained some sort of a unicorn since it was first postulated in the 1960's. Some of the most important components to these environments are used in their own stand alone systems such as problem solving environments, model integration frameworks, and virtual environments. Characteristics of these systems have been identified creating a checklist upon which these and other environments can be compared in order to determine the actuality of integrated computational environment. Finally, the future of integrated computational environments are discussed including the ancillary components that will soon be included that create a complete design envelope within one single virtual space.

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“…This can be of particular importance when assessing the link between environmental pressure and human health risk (Sarigiannis et al, 2002(Sarigiannis et al, , 2004. A good example of the usefulness of data assimilation in this regard is given by the study of particulate matter pollution in the ambient air at the regional scale.…”

Section: Data Assimilationmentioning

confidence: 99%

Spatially explicit multimedia fate models for pollutants in Europe: State of the art and perspectives

Pistocchi

Sarigiannis

Vizcaino

2010

Science of The Total Environment

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Keywords:Spatially explicit fate models GIS Data assimilation Analytical solutions Simplifl catión A review by Hollander et al. (in preparation), discusses the relative potentials, advantages and shortcomings of spatial and non spatial models of chemical fate, highlighting that spatially explicit models may be needed for specific purposes. The present paper revie ws the state of the art in spatially explicit chemical fate and transport modeling in Europe. We summarize the three main approaches currently adopted in spatially explicit modeling, namely (1) múltiple box models, (2) numerical solutions of simultaneous advection-dispersion equations (ADE) in air, soil and water, and (3) the development of meta-models. As all three approaches experience lfmitations, we describe in further detail geographic information system (GlS)-based modeling as an alternative approach allowing a simple, yet spatially explicit description of chemical fate. We review the input data needed, and the options available for their retrieval at the European scale. We also discuss the fmportance of, and lfmitations in model evaluation. We observe that the high uncertainty in chemical emissions and physico-chemical behavior in the environment make realistic simulations difficult to obtain. Therefore we envisage a shift in model use from process simulation to hypothesis testing, in which explaining the discrepancies between observed and computed chemical concentrations in the environment takes fmportance over prediction per se. This shift may take advantage of using simple models in GIS with residual uses of complex models for detailed studies. It also calis for tighter joint interpretation of models and spatially disfributed monitoring datase ts, and more refined spatial representation of environmental drivers such as landscape and climate variables, and better emission estimates. In summary, we conclude that the problem is not "how to compute" (i.e. emphasis on numerical methods, spatial/temporal discretization, quantitative uncertainty and sensitivity analysis...) but "what to compute" (i.e. emphasis on spatial disfribution of emissions, and the depiction of appropriate spatial patterns of environmental drivers).

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ICAROS: An Integrated Computational Environment for the Assimilation of Environmental Data and Models for Urban and Regional Air Quality

Cited by 11 publications

References 8 publications

Remote Sensing Methods to Investigate Boundary-layer Structures relevant to Air Pollution in Cities

Remote Sensing Methods to Investigate Boundary-layer Structures relevant to Air Pollution in Cities

An Overview of Computational Environments for Engineering

Spatially explicit multimedia fate models for pollutants in Europe: State of the art and perspectives

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