2016
DOI: 10.1002/qj.2708
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Forecasting radiation fog at climatologically contrasting sites: evaluation of statistical methods and WRF

Abstract: A six‐year climatology of radiation fog has been compiled at two sites: the Research Centre for the Lower Atmosphere (CIBA, Spain) and the Cabauw Experimental Site for Atmospheric Research (CESAR, The Netherlands). These sites are contrasted in terms of geographical situation, climate zone, altitude, humidity and soil water availability. Therefore, several climatological differences in fog abundance, onset, dissipation and duration have been quantified between the two sites. The more humid site (CESAR) is char… Show more

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Cited by 79 publications
(68 citation statements)
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“…Reliable forecasts are therefore essential in order to take timely and adequate road management measures. Strong temperature inversions also promote the occurrence of fog events (Roman-Cascon et al 2016), which impact on traffic safety through reduced visibility. In aviation, this will translate in reduced flight activity, which causes significant economic losses (Stolaki et al 2012).…”
Section: Introductionmentioning
confidence: 99%
“…Reliable forecasts are therefore essential in order to take timely and adequate road management measures. Strong temperature inversions also promote the occurrence of fog events (Roman-Cascon et al 2016), which impact on traffic safety through reduced visibility. In aviation, this will translate in reduced flight activity, which causes significant economic losses (Stolaki et al 2012).…”
Section: Introductionmentioning
confidence: 99%
“…This airport is well-known for its foggy days. Due to its geographical and climatological characteristics, radiation fog is very frequent [13]. A detailed Valladolid airport climatology can be found in [14].…”
Section: A Data Descriptionmentioning
confidence: 99%
“…The dissipation phase is characterized by an increase in the spatial variability of the fog liquid water [11]. Current numerical weather prediction models still exhibit relatively low capacity for forecasting fog life cycles accurately [12][13][14]. One of the key challenges in fog forecasting and nowcasting models is an accurate prediction of dissipation budget analysis of stratocumulus cloud thinning [39] and extend it to study controlling parameters affecting fog depletion.…”
Section: Introductionmentioning
confidence: 99%