Search Results - "Garfias, Pablo Saavedra"

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  1. 1

    Asymmetries in cloud microphysical properties ascribed to sea ice leads via water vapour transport in the central Arctic by Saavedra Garfias, Pablo, Kalesse-Los, Heike, von Albedyll, Luisa, Griesche, Hannes, Spreen, Gunnar

    Published in Atmospheric chemistry and physics (24-11-2023)
    “…To investigate the influence of sea ice openings like leads on wintertime Arctic clouds, the air mass transport is exploited as a heat and humidity feeding…”
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    Journal Article
  2. 2

    Comparison between precipitation estimates of ground-based weather radar composites and GPM's DPR rainfall product over Germany by Pejcic, Velibor, Saavedra Garfias, Pablo, Mühlbauer, Kai, Trömel, Silke, Simmer, Clemens

    “…We compare more than three years (between 2014 and 2018) of precipitation estimates over Germany from the Dual-frequency Precipitation Radar (DPR) operating on…”
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    Journal Article
  3. 3

    Required sampling density of ground-based soil moisture and brightness temperature observations for calibration and validation of L-band satellite observations based on a virtual reality by Lv, Shaoning, Schalge, Bernd, Saavedra Garfias, Pablo, Simmer, Clemens

    Published in Hydrology and earth system sciences (17-04-2020)
    “…Microwave remote sensing is the most promising tool for monitoring near-surface soil moisture distributions globally. With the Soil Moisture and Ocean Salinity…”
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    Journal Article
  4. 4

    The COTUR project: remote sensing of offshore turbulence for wind energy application by Cheynet, Etienne, Flügge, Martin, Reuder, Joachim, Jakobsen, Jasna B, Heggelund, Yngve, Svardal, Benny, Saavedra Garfias, Pablo, Obhrai, Charlotte, Daniotti, NicolÃ, Berge, Jarle, Duscha, Christiane, Wildmann, Norman, Onarheim, Ingrid H, Godvik, Marte

    Published in Atmospheric measurement techniques (21-09-2021)
    “…The paper presents the measurement strategy and data set collected during the COTUR (COherence of TURbulence with lidars) campaign. This field experiment took…”
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    Journal Article
  5. 5

    Identifying cloud droplets beyond lidar attenuation from vertically pointing cloud radar observations using artificial neural networks by Schimmel, Willi, Kalesse-Los, Heike, Maahn, Maximilian, Vogl, Teresa, Foth, Andreas, Garfias, Pablo Saavedra, Seifert, Patric

    Published in Atmospheric measurement techniques (21-09-2022)
    “…In mixed-phase clouds, the variable mass ratio between liquid water and ice as well as the spatial distribution within the cloud plays an important role in…”
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    Journal Article
  6. 6