(Radinovic´, 1975; Kruizinga
& Murphy, 1983; Van den Dool, 1989; Fraedrich et al., 2003) and climate downscaling (Zorita &
Von Storch, 1999; Wetterhall et al., 2005) to extract local weather information which can not be
simulated by coarse-resolution meteorological or climate models with sufficient accuracy. In that
context, these methods often make use of synoptic predictors describing
/media/vedurstofan/utgafa/skyrslur/2013/VI_2013_008.pdf
: 3601/B2007.EEA53004 and 3601/RO/CLC/
B2007.EEA52971, Landmælingar Íslands, Reykjavik, Iceland.
Bechtold, P., Köhler, M., Jung, T., Doblas-Reyes, F., Leutbecher, M., Rodwell, M. J., Vitart, F.,
and Balsamo, G. (2008). Advances in simulating atmospheric variability with the ECMWF
model: from synoptic to decadal time-scales. Q. J. R. Meterol. Soc., 134:1337–1351.
Brousseau, P., Berre, L., Bouttier
/media/vedurstofan/utgafa/skyrslur/2014/VI_2014_005.pdf
Atlantic to
Greenland (see Figure 1 for the conditions at 12 UTC, based on ERA-Interim reanalyses, as well
as manned observations and measurements from the synoptic station network). In the eastern
part of the island, a few slight rain showers occurred at night and in the morning. Otherwise,
weather conditions were dry. Winds were weak to intermediate (2 – 11 m s 1) from prevailing
northerly
/media/vedurstofan/utgafa/skyrslur/2015/VI_2015_006.pdf
that if two meteorological situations are similar regarding large
scale atmospheric circulation, they should also be similar with respect to local meteorological
conditions. Local meteorological conditions depend on the synoptic situation but local features
such as orography and surface properties play also an important role.
Considering a given meteorological situation characterised by some synoptic/media/vedurstofan/utgafa/skyrslur/2014/VI_2014_006.pdf
a
time window of five days as the minimum time separating two values in a timeseries was
selected. It is a realistic interval due to extreme precipitation being associated with weather
systems, and thus a synoptic timescale is appropriate to ensure independent events. Furthermore,
the same interval has been used for extreme analysis of winds in Iceland (Petersen, 2015). The
biggest challenge
/media/vedurstofan-utgafa-2020/VI_2020_008.pdf
these variables have a high spatial and temporal variability. For the
study of larger-scale processes, atmospheric pressure data are a good alternative as they
characterise synoptic patterns rather than local-scale variability. Furthermore, the quality of
air pressure derived by General Circulation Models is higher than for precipitation, which
may be important for the study of future drought
/media/ces/ces-oslo2010_proceedings.pdf