Alternativer Identifier:
(KITopen-DOI) 10.5445/IR/1000141293
Verwandter Identifier:
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Ersteller/in:

Cermak, Jan [Cermak, Jan]

Andersen, Hendrik https://orcid.org/0000-0003-2983-8838 [Andersen, Hendrik]
Beitragende:
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Titel:
Satellite-based fog and low stratus cloud formation and dissipation times data set
Weitere Titel:
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Beschreibung:
(Abstract) This fog and low stratus formation and dissipation data set has been created by applying logistic regression to a binary FLS data set based on geostationary satellite (SEVIRI) observations.
(Technical Remarks) The fog and low stratus formation and dissipation data set consists of yearly netcdf files. The data set covers central Europe, over the years 2006-2015. The projection is WGS 84. The following data variables are contained in the data set: - diss_time: Dissipation time as timestamp - diss_time_percent: Dissipation time in %, either from sunrise to sunset (daytime) or sunset to sunrise (nighttime) - coef_diss: Coefficient of logistic regression curve used to calculate the dissipation time. It is advised to only use the dissipation times with a coefficient smaller than -0.1. - flag_day_night_diss: For each calculated dissipation time, this flag describes if dissipation occured between sunrise and sunset (day, flag=1) or between sunset and sunrise (night, flag = 0). - form_time: Formation time as timestamp - form_time_percent: Formation time in %, either from sunrise to sunset (daytime) or sunset to sunrise (nighttime) - coef_form: Coefficient of logistic regression curve used to calculate the formation time. It is advised to only use the formation times with a coefficient greater than 0.1. - flag_day_night_form: For each caclulated formation time, this flag describes if formation occured between sunrise and sunset (day, flag=1) or between sunset and sunrise (night, flag = 0).
Schlagworte:
fog
low stratus
fog formation
fog dissipation
Europe
SEVIRI
Zugehörige Informationen:
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Sprache:
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Erstellungsjahr:
Fachgebiet:
Geological Science
Objekttyp:
Dataset
Datenquelle:
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Verwendete Software:
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Datenverarbeitung:
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Erscheinungsjahr:
Lizenz:
Rechteinhaber/in:
Förderung:
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kitopen
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Archivierungsdatum:
2023-06-24
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8,6 GB
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kitopen
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