Téléchargement | - Voir la version finale : Triple-frequency radar retrieval of microphysical properties of snow (PDF, 6.0 Mio)
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DOI | Trouver le DOI : https://doi.org/10.5194/amt-14-7243-2021 |
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Auteur | Rechercher : Mroz, KamilIdentifiant ORCID : https://orcid.org/0000-0002-3151-1300; Rechercher : Battaglia, Alessandro; Rechercher : Nguyen, Cuong1; Rechercher : Heymsfield, AndrewIdentifiant ORCID : https://orcid.org/0000-0003-4107-7533; Rechercher : Protat, AlainIdentifiant ORCID : https://orcid.org/0000-0002-8933-874X; Rechercher : Wolde, Mengistu1 |
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Affiliation | - Conseil national de recherches du Canada. Aérospatiale
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Bailleur de fonds | Rechercher : National Centre for Earth Observation; Rechercher : European Space Agency; Rechercher : Idaho Operations Office, U.S. Department of Energy |
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Format | Texte, Article |
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Résumé | An algorithm based on triple-frequency (X, Ka, W) radar measurements that retrieves the size, water content and degree of riming of ice clouds is presented. This study exploits the potential of multi-frequency radar measurements to provide information on bulk snow density that should underpin better estimates of the snow characteristic size and content within the radar volume. The algorithm is based on Bayes' rule with riming parameterised by the “fill-in” model. The radar reflectivities are simulated with a range of scattering models corresponding to realistic snowflake shapes. The algorithm is tested on multi-frequency radar data collected during the ESA-funded Radar Snow Experiment For Future Precipitation Mission. During this campaign, in situ microphysical probes were mounted on the same aeroplane as the radars. This nearly perfectly co-located dataset of the remote and in situ measurements gives an opportunity to derive a combined multi-instrument estimate of snow microphysical properties that is used for a rigorous validation of the radar retrieval. Results suggest that the triple-frequency retrieval performs well in estimating ice water content (IWC) and mean mass-weighted diameters obtaining root-mean-square errors of 0.13 and 0.15, respectively, for log ₁₀IWC and log ₁₀Dₘ. The retrieval of the degree of riming is more challenging, and only the algorithm that uses Doppler information obtains results that are highly correlated with the in situ data. |
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Date de publication | 2021-11-17 |
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Maison d’édition | European Geosciences Union Copernicus Publications |
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Licence | |
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Dans | |
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Langue | anglais |
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Publications évaluées par des pairs | Oui |
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Exporter la notice | Exporter en format RIS |
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Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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Identificateur de l’enregistrement | 213fffaa-67cf-40e8-949f-775f41613a16 |
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Enregistrement créé | 2022-11-10 |
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Enregistrement modifié | 2022-11-10 |
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