Revisiting fog as an important constituent of the atmosphere
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F18%3AN0000021" target="_blank" >RIV/00020699:_____/18:N0000021 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/18:00489441 RIV/68407700:21730/18:00327585 RIV/00216208:11310/18:10378450 RIV/75010330:_____/18:00012200
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0048969718315006" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0048969718315006</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.scitotenv.2018.04.322" target="_blank" >10.1016/j.scitotenv.2018.04.322</a>
Alternative languages
Result language
angličtina
Original language name
Revisiting fog as an important constituent of the atmosphere
Original language description
We examined observation-based fog occurrence at three Czech monitoring sites: Praha 4 - Libuš, Košetice and Churáňov, representing different environments - urban, rural and mountain - over a time span of 27 years (1989–2015). We searched for a simple model describing fog occurrence fitting the observed air pollution and meteorological data. For our analysis we used a generalized additive model, GAM, with (penalized) spline components to capture possible nonlinear and a priori unknown functional relationships. In order to cope with the binary nature of the data (indicators of fog presence on individual days), we employed a logistic regression GAM model fitted by a maximizing penalized likelihood (where the penalty coefficients were estimated via cross-validation). After testing several physically motivated models, being guided by AIC and physical interpretation of the components, we arrived at a model which uses the following explanatory variables: relative humidity, ambient SO2 concentrations, ambient NOx concentrations, air temperature and seasonality. All associations between the response and the analysed explanatory variables were highly significant. According to our results, the most important explanatory variables modelling the fog probability were relative humidity and air pollutants. Interestingly, we observed an increasing trend in fog occurrence at all three sites under review starting around the mid 2000s.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Science of the Total Environment
ISSN
0048-9697
e-ISSN
1879-1026
Volume of the periodical
636
Issue of the periodical within the volume
September
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
10
Pages from-to
1490-1499
UT code for WoS article
000436599000145
EID of the result in the Scopus database
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