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First 2704 results for ” M Prodanova”

  1. An improved correction method for high quality wind and temperature observations derived from Mode-S EHS

    Upper air atmospheric wind and temperature information is crucial for numerical weather predictio...

    Siebren de Haan | Year: 2013 | Pages: 54

    Publication

  2. Evaluation of the Vaisala FD12P 1.91S firmware with insect filtering

    A so-called transmissometer (TMM) measures the extinction of a light beam over an atmospheric pat...

    Wiel Wauben | Year: 2011 | Pages: 58

    Publication

  3. Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China

    Rapid industrialization and urbanization significantly contribute to air pollution in China. Esse...

    Ali, M.A., Bilal, M., Wang, Y., Nichol, J.E., Mhawish, A., Qiu, Z., de Leeuw, G., Zhang, Y., Zhan, Y., Liao, K., Almazroui, M., Dambul, R., Shahid, S., Islam, N. | Journal: Atmospheric Environment | Volume: 288 | Year: 2022 | First page: 119297 | doi: https://doi.org/10.1016/j.atmosenv.2022.119297

    Publication

  4. Horizontal and vertical background error correlations

    Numerical Weather Prediction (NWP) model background error correlations play a decisive role in da...

    GJ Marseille, H Schyberg, A Stoffelen | Year: 2012

    Publication

  5. Coupling of the air quality model LOTOS-EUROS to the climate model RACMO

    Ozone and particulate matter have an adverse impact on the health of humans and other organisms. ...

    A Manders, B van Ulft, E van Meijgaard, M Schaap | Year: 2011

    Publication