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First 1321 results for ”Pilar Sánchez-Pastor”

  1. Validation of Gaussian Plume Model Aeropol against Cabauw Field Experiment

    Abstract: The Gaussian dispersion model AEROPOL is validated against Cabauw (1977 – 1978) data se...

    M Kaasik, G Geertsema, R Scheele | Conference: Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes | Place: Boedapest | Year: 2016 | First page: 0 | Last page: 0

    Publication

  2. Validation of the Gaussian Plume Model AEROPOL model against the Cabauw Field Experiment.

    Abstract: The Gaussian dispersion model AEROPOL is validated against the Cabauw (1977 – 1978) dat...

    M Kaasik, GT Geertsema, R Scheele | Status: submitted | Journal: J. Environmental Science and Climatic Changes | Year: 2016

    Publication

  3. Validation of Gaussian plume model AEROPOL against Cabauw field experiment

    The Gaussian dispersion model AEROPOL is validated against the Cabauw (1977 – 1978) data set, app...

    M Kaasik, GT Geertsema, R Scheele | Conference: 17th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes | Organisation: Harmo | Place: Budapest | Year: 2016 | First page: 0 | Last page: 0

    Publication

  4. Comparison of hourly surface downwelling solar radiation estimated from MSG–SEVIRI and forecast by the RAMS model with pyranometers over Italy

    In this paper, we evaluate the performance of two global horizontal solar irradiance (GHI) estima...

    Federico, Torcasio, Sano, Casella, Campanelli, Meirink, Wang, Vergari, Diemoz, Dietrich | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 10 | Year: 2017 | First page: 2337 | Last page: 2352 | doi: 10.5194/amt-10-2337-2017

    Publication

  5. SWIRRL. Managing Provenance-aware and Reproducible Workspaces

    Modern interactive tools for data analysis and visualisation are designed to expose their functio...

    Alessandro Spinuso, Mats Veldhuizen, Daniele Bailo, Valerio Vinciarelli, Tor Langeland | Journal: Data Intelligence | Year: 2022 | doi: https://doi.org/10.1162/dint_a_00129

    Publication