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    Time series 2D simulation for narrow field of view LW radiometers in order to optimize sampling frequency and zenith angle

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    Authors
    Besnard, T.
    Pavlaud, M.
    Collet, M.
    Long, C.N.
    Gillotay, D.
    Berger, L.
    Zanghi, F.
    Ferreira Da Silva, T.
    Dupont, J.C.
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    Discipline
    Physical sciences
    Subject
    Clouds
    Earth atmosphere
    Natural frequencies
    Radiometers
    Sampling
    Brightness temperature
    Ceiling
    Cloud fields
    Time series
    Time series analysis
    Audience
    Scientific
    Date
    2005
    Metadata
    Show full item record
    Description
    Since more than a decade, several instruments using narrow field of view radiometers and applying time series, snapshots and scanning techniques have been developed to monitor down welling long wave radiations and by consequence cloud cover intensity. For regular monitoring of cloud cover, in atmospheric measurement networks the time series technique has already been used with ceilometric data and now with narrow field of view (NFOV) radiometers. In order to determine the best set of data for sampling frequency, zenith angle and also field of view, we built a numerical simulator calculating interactions between a measurement grid in the approximation of the parallel plan model and binarized cloud fields generated by the "Larges Eddies Simulation" method. We will present results obtained with various sets of radiometers with different geometries facing to cloud fields simulating a wide range of broken clouds conditions. As a conclusion, we provide recommendations for positioning and feature of NFOV radiometers and finally we will discuss potential improvements of these simulation techniques.
    Citation
    Besnard, T.; Pavlaud, M.; Collet, M.; Long, C.N.; Gillotay, D.; Berger, L.; Zanghi, F.; Ferreira Da Silva, T.; Dupont, J.C. (2005). Time series 2D simulation for narrow field of view LW radiometers in order to optimize sampling frequency and zenith angle. (Schäfer, K., Ed.), Proceedings of SPIE: Remote Sensing of Clouds and the Atmosphere X, Vol. 5979, 59791J, DOI: 10.1117/12.633343.
    Identifiers
    isbn: 9780819459992
    uri: https://orfeo.belnet.be/handle/internal/4648
    doi: http://dx.doi.org/10.1117/12.633343
    scopus: 2-s2.0-33244493595
    Type
    Conference
    Peer-Review
    No
    Language
    eng
    Links
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