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First 1434 results for ”MT DeLand”

  1. THE EARTHCARE SATELLITE: The next step forward in global measurements of clouds, aerosols, precipitation and radiation.

    The collective representation within global models of aerosol, cloud, precipitation, and their ra...

    IJ Illingworth, HW Barker, A Beljaars, M Ceccaldi, H Chepfer, J Cole, J Delanoë, C Domenech, DP Donovan, S Fukuda, M Hirakata, RJ Hogan, A Huenerbein, P Kollias, GJ van Zadelhoff | Status: published | Journal: Bull. Amer. Meteor. Soc. | Year: 2014 | doi: 10.1175/BAMS-D-12-00227.1

    Publication

  2. CLOUDNET Report: Development of retrieval algorithms (optimized algorithms and performance)

    DP Donovan, GJ van Zadelhoff, O Krasnov, E O\'Conner, M Brooks, N Gaussiat, R Hogan, A Illingworth, D Bouniol, H Chepfer, J Delanoë, M Haeffelin, Y Morille | Year: 2006

    Publication

  3. Overview of the HAIC “Space-borne Observation and Nowcasting of High Ice Water Content Regions” Sub-Project and Mid-Term Results

    The High Altitude Ice Crystals (HAIC) Sub-Project 3 (SP3) focuses on the detection of cloud regio...

    E Defer, JL Brenguier, J de Laat, J Delanoe, F Dezitter, M Faivre, A Gounou, A Guignard, JF Meirink, JM Moisselin, F Parole, A Protat, C Vanbause, A Grandin | Journal: SAE Technical Paper 2015-01-2123 | Year: 2015 | doi: doi:10.4271/2015-01-2123

    Publication

  4. Using Continuous Ground-Based Radar and Lidar Measurements for Evaluating the Representation of Clouds in Four Operational Models

    D Bouniol, A Protat, J Delanoë, J Pelon, JM Piriou, F Bouyssel, A Tompkins, D Wilson, Y Morille, M Heaffelin, E O’Connor, R Hogan, AJ Illingworth, D Donovan, H Klein Baltink | Status: published | Journal: Journal of Applied Meteorology and Climatology | Volume: 49 | Year: 2010 | doi: 10.1175/2010JAMC2333.1

    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