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First 59 results for ” S Loaec”

  1. Pathfinder: Applying graph theory for consistent tracking of daytime mixed layer height with backscatter lidar

    The height of the atmospheric boundary layer or mixing layer is an important parameter for unders...

    M de Bruine, A Apituley, , DP Donovan, H Klein Baltink | Status: submitted | Journal: Atmospheric Measurement Techniques | Year: 2017 | doi: doi:10.5194/amt-2016-327

    Publication

  2. The Sensitivity of AOD Retrieval to Aerosol Type and Vertical Distribution over Land with MODIS Data

    This study is to evaluate the sensitivity of Aerosol Optical Depth (AOD τ) to aerosol vertical pr...

    Y Wu, M de Graaf, M Menenti | Status: published | Journal: Remote Sensing | Volume: 9 | Year: 2016 | First page: 1 | Last page: 16 | doi: 10.3390/rs8090765

    Publication

  3. Agile Development in Meteorological R&D: Achieving a Minimum Viable Product in a Scrum Work Setting

    In the Agile Way of Working (AoW) a group of developers jointly work to efficiently realize a pro...

    WJ Som de Cerff, J van de Vegte, R Boers, T Brandsma, MJ de Haij, WF van Moosel, JW Noteboom, GA Pagani, G van der Schrier | Status: submitted | Journal: BAMS | Year: 2018 | doi: doi:10.1175/BAMS-D-17-0273.1

    Publication

  4. Particulate sulfur in the upper troposphere and lowermost stratosphere - sources and climate forcing

    This study is based on fine-mode aerosol samples collected in the upper troposphere (UT) and the ...

    BG Martinsson, J Friberg, OS Sandvik, M Hermann, PFJ van Velthoven, A Zahn | Status: published | Journal: Atm. Chem. Phys. | Volume: 17 | Year: 2017 | First page: 10937 | Last page: 10953 | doi: 10.5194/acp-17-10937-2017

    Publication

  5. Evaluationofthreemainstreamnumericalweatherprediction modelswithobservationsfrommeteorological mastIJmuidenattheNorthSea

    Numerical weather prediction models play an important role in the field of wind energy, for examp...

    PC Kalverla, GJ Steeneveld, RJ Ronda, AAM Holtslag | Status: published | Journal: Wind Energy | Year: 2018 | doi: https://doi.org/10.1002/we.2267

    Publication