dc.contributor.author
Slobodda, J.
dc.contributor.author
Hünerbein, A.
dc.contributor.author
Lindstrot, R.
dc.contributor.author
Preusker, R.
dc.contributor.author
Ebell, K.
dc.contributor.author
Fischer, J.
dc.date.accessioned
2018-06-08T03:59:53Z
dc.date.available
2015-06-22T05:16:31.649Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/16376
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-20559
dc.description.abstract
Images of measured radiance in different channels of the geostationary
Meteosat-9 SEVIRI instrument are analysed with respect to the
representativeness of the observations of eight cloud observatories in Europe
(e.g. measurements from cloud radars or microwave radiometers). Cloudy
situations are selected to get a time series for every pixel in a 300 km × 300
km area centred around each ground station. Then a cross correlation of each
time series to the pixel nearest to the corresponding ground site is
calculated. In the end a correlation length is calculated to define the
representativeness.
en
dc.rights.uri
http://creativecommons.org/licenses/by/3.0/de/
dc.subject.ddc
500 Naturwissenschaften und Mathematik::550 Geowissenschaften, Geologie::551 Geologie, Hydrologie, Meteorologie
dc.title
Multichannel analysis of correlation length of SEVIRI images around ground-
based cloud observatories to determine their representativeness
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation
Atmospheric Measurement Technique. - 8 (2015), S. 567-578
dcterms.bibliographicCitation.doi
10.5194/amt-8-567-2015
dcterms.bibliographicCitation.url
http://www.atmos-meas-tech.net/8/567/2015/
refubium.affiliation
Geowissenschaften
de
refubium.mycore.fudocsId
FUDOCS_document_000000022683
refubium.note.author
Der Artikel wurde in einer Open-Access-Zeitschrift publiziert.
refubium.resourceType.isindependentpub
no
refubium.mycore.derivateId
FUDOCS_derivate_000000005093
dcterms.accessRights.openaire
open access