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First 914 results for ” G Svensson”

  1. Description of the KNMI operational waveforecast model GONO

    Description of the KNMI operational waveforecast model GONO

    J. Bruisma, P.A.E.M. Janssen, G.J. Komen, H.H. Peeck, M.J. Saraber, W.J.P. de Voogt | Year: 1980 | Pages: 80

    Publication

  2. Estimating Single-Epoch Integrated Atmospheric Refractivity from InSAR for Assimilation in Numerical Weather Models

    Numerical weather prediction (NWP) models are used to predict the weather based on current observ...

    Gert Mulder, Freek J. van Leijen, Jan Barkmeijer, Siebren de Haan, and Ramon F. Hanssen | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 60 | Year: 2022 | doi: 10.1109/TGRS.2022.3177041

    Publication

  3. Substantial Underestimation of Post-Harvest Burning Emissions in the North China Plain Revealed by Multi-Species Space Observations

    The large-scale burning of crop residues in the North China Plain (NCP), one of the most densely ...

    T Stavrakou, JF Muller, M Bauwens, I De Smedt, C Lerot, M Van Roozendael, PF Coheur, C Clerbaux, KF Boersma, RJ van der A, Y Song | Status: published | Journal: Scientific Reports | Volume: 6 | Year: 2016 | doi: 10.1038/srep32307

    Publication

  4. How stratospheric are deep stratospheric intrusions? LUAMI 2008

    A large-scale comparison of water-vapour vertical-sounding instruments took place over central Eu...

    T Trickl, H Vogelmann, A Fix, A Schäfler, M Wirth, B Calpini, G Levrat, G Romanens, A Apituley, KM Wilson, R Begbie, J Reichhardt, H Vömel, M Sprenger | Status: published | Journal: Atm. Chem. Phys. | Year: 2016 | doi: 10.5194/acp-16-8791-2016

    Publication

  5. Should seasonal forecasts be used for flood preparedness?

    Should seasonal forecasts be used for flood preparedness? Erin Coughlan de Perez, Elisabeth Step...

    E Coughlan de Perez, E Stephens, K Bischiniotis, M van Aalst, BJJM van den Hurk, S Mason, H Nissan, F Pappenberger | Status: accepted | Journal: Hydrology and Earth System Sciences | Volume: 21 | Year: 2017 | doi: https://doi.org/10.5194/hess-21-4517-2017

    Publication