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.
Discipline
Physical sciences
Subject
Clouds
Earth atmosphere
Natural frequencies
Radiometers
Sampling
Brightness temperature
Ceiling
Cloud fields
Time series
Time series analysis
Audience
Scientific
Date
2005Metadata
Show full item recordDescription
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
scopus: 2-s2.0-33244493595
Type
Conference
Peer-Review
No
Language
eng