Search Results - "Pernigotti, D."

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  1. 1

    Performance criteria to evaluate air quality modeling applications by Thunis, P., Pederzoli, A., Pernigotti, D.

    Published in Atmospheric environment (1994) (01-11-2012)
    “…A set of statistical indicators fit for air quality model evaluation is selected based on experience and literature: The Root Mean Square Error (RMSE), the…”
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    Journal Article
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    Model quality objectives based on measurement uncertainty. Part I: Ozone by Thunis, P., Pernigotti, D., Gerboles, M.

    Published in Atmospheric environment (1994) (01-11-2013)
    “…Since models are increasingly used for policy support their evaluation is becoming an important issue. One of the possible evaluations is to compare model…”
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  4. 4

    A new methodology to assess the performance and uncertainty of source apportionment models in intercomparison exercises by Belis, C.A., Pernigotti, D., Karagulian, F., Pirovano, G., Larsen, B.R., Gerboles, M., Hopke, P.K.

    Published in Atmospheric environment (1994) (01-10-2015)
    “…A new methodology to assess source apportionment model performance in intercomparison exercises, encompassing the preparation of real-world and synthetic…”
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    Journal Article
  5. 5

    Model quality objectives based on measurement uncertainty. Part II: NO2 and PM10 by Pernigotti, D., Gerboles, M., Belis, C.A., Thunis, P.

    Published in Atmospheric environment (1994) (01-11-2013)
    “…Estimating measurement uncertainty for NO2 and PM10 is a complex issue that is normally addressed by experimentalists specifically for every type of instrument…”
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    Impact of meteorology on air quality modeling over the Po valley in northern Italy by Pernigotti, D., Georgieva, E., Thunis, P., Bessagnet, B.

    Published in Atmospheric environment (1994) (01-05-2012)
    “…A series of sensitivity tests has been performed using both a mesoscale meteorological model (MM5) and a chemical transport model (CHIMERE) to better…”
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    Journal Article
  8. 8

    SCI peer health coach influence on self-management with peers: a qualitative analysis by Skeels, S E, Pernigotti, D, Houlihan, B V, Belliveau, T, Brody, M, Zazula, J, Hasiotis, S, Seetharama, S, Rosenblum, D, Jette, A

    Published in Spinal cord (01-11-2017)
    “…Study design: A process evaluation of a clinical trial. Objectives: To describe the roles fulfilled by peer health coaches (PHCs) with spinal cord injury (SCI)…”
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    Journal Article
  9. 9

    POMI: a model inter-comparison exercise over the Po Valley by Pernigotti, D., Thunis, P., Cuvelier, C., Georgieva, E., Gsella, A., De Meij, A., Pirovano, G., Balzarini, A., Riva, G. M., Carnevale, C., Pisoni, E., Volta, M., Bessagnet, B., Kerschbaumer, A., Viaene, P., De Ridder, K., Nyiri, A., Wind, P.

    Published in Air quality, atmosphere and health (01-12-2013)
    “…The Po Valley (Italy) model inter-comparison exercise (POMI) has been carried out in order to explore the changes in air quality in response to changes in…”
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    Journal Article
  10. 10

    DeltaSA tool for source apportionment benchmarking, description and sensitivity analysis by Pernigotti, D., Belis, C.A.

    Published in Atmospheric environment (1994) (01-05-2018)
    “…DeltaSA is an R-package and a Java on-line tool developed at the EC-Joint Research Centre to assist and benchmark source apportionment applications. Its key…”
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    Source apportionment and sensitivity analysis: two methodologies with two different purposes by Clappier, Alain, Belis, Claudio A, Pernigotti, Denise, Thunis, Philippe

    Published in Geoscientific Model Development (24-11-2017)
    “…This work reviews the existing methodologies for source apportionment and sensitivity analysis to identify key differences and stress their implicit…”
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    Journal Article
  13. 13

    Influence of ABL stability on the diurnal cycle of PM10 concentration: illustration of the potential of the new Veneto network of MW-radiometers and SODAR by Denise Pernigotti, Andrea Massimo Rossa, Massimo Enrico Ferrario, Maria Sansone, Alessandro Benassi

    “…Stable boundary layer conditions are long known for causing increasing pollutant concentrations. The region of the Po Valley has a particularly unfortunate…”
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    Journal Article