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NWCSAF AVHRR cloud detection and analysis using dynamic thresholds and radiative transfer modeling. Part I: Algorithm description
SMHI, Core Services.
SMHI, Research Department, Atmospheric remote sensing.ORCID iD: 0000-0001-8256-0228
SMHI, Research Department, Atmospheric remote sensing.ORCID iD: 0000-0003-2138-4325
2005 (English)In: Journal of applied meteorology (1988), ISSN 0894-8763, E-ISSN 1520-0450, Vol. 44, no 1, 39-54 p.Article in journal (Refereed) Published
Abstract [en]

New methods and software for cloud detection and classification at high and midlatitudes using Advanced Very High Resolution Radiometer (AVHRR) data are developed for use in a wide range of meteorological, climatological, land surface, and oceanic applications within the Satellite Application Facilities (SAFs) of the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), including the SAF for Nowcasting and Very Short Range Forecasting Applications (NWCSAF) project. The cloud mask employs smoothly varying (dynamic) thresholds that separate fully cloudy or cloud-contaminated fields of view from cloud-free conditions. Thresholds are adapted to the actual state of the atmosphere and surface and the sun-satellite viewing geometry using cloud-free radiative transfer model simulations. Both the cloud masking and the cloud-type classification are done using sequences of grouped threshold tests that employ both spectral and textural features. The cloud-type classification divides the cloudy pixels into 10 different categories: 5 opaque cloud types, 4 semitransparent clouds, and 1 subpixel cloud category. The threshold method is fuzzy in the sense that the distances in feature space to the thresholds are stored and are used to determine whether to stop or to continue testing. They are also used as a quality indicator of the final output. The atmospheric state should preferably be taken from a short-range NWP model, but the algorithms can also run with climatological fields as input.

Place, publisher, year, edition, pages
2005. Vol. 44, no 1, 39-54 p.
National Category
Meteorology and Atmospheric Sciences
Research subject
Remote sensing
Identifiers
URN: urn:nbn:se:smhi:diva-1288DOI: 10.1175/JAM-2188.1ISI: 000227145800004OAI: oai:DiVA.org:smhi-1288DiVA: diva2:818689
Available from: 2015-06-09 Created: 2015-05-26 Last updated: 2015-06-09Bibliographically approved

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Dybbroe, AdamKarlsson, Karl-GöranThoss, Anke
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