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Satellite-based fog and low stratus cloud formation and dissipation times data set

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. TechnicalRemarks: 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).

Cite this as

Pauli, Eva, Cermak, Jan, Andersen, Hendrik (2023). Dataset: Satellite-based fog and low stratus cloud formation and dissipation times data set. https://doi.org/10.35097/1533

DOI retrieved: 2023

Additional Info

Field Value
Imported on August 4, 2023
Last update August 4, 2023
License CC BY 4.0 Attribution
Source https://doi.org/10.35097/1533
Author Pauli, Eva
More Authors
Cermak, Jan
Andersen, Hendrik
Source Creation 2023
Publishers
Karlsruhe Institute of Technology
Production Year 2021
Publication Year 2023
Subject Areas
Name: Geological Science