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7 78 Anja Wejs Denmark
Environmental
management
8 93 Tommy Chan Finland Forest sciences
9 140 Karoliina Pilli-Sihvola Finland
E viro me tal
economics
10 147 Jussi Ylhäisi Finland Meteorology
11 (new) Karen Lundgren Sweden
Engineering &
Design
12 (new) Väinö Nurmi Finland Economics
13
/media/loftslag/programme2---PhD-Workshop-preceding-Adaptation-Research-Conference.pdf
of the strain me-
ter network for a volume source in the up-
per crust at Grímsvötn is 0.05–0.1 km3. The
absence of a strain signal, together with the
seismicity constraints, suggest that <0.1 km3 of
erupted magma came from below 4 km depth
under the southern caldera rim.
Summary and Outlook
IMO’s multidisciplinary monitoring approach,
employing seismic and geodetic methods,
combined with access
/media/jar/myndsafn/2005EO260001.pdf
Koulouriotis et al., 2003); developing indices for analysing and
comparing Fuzzy Cognitive Maps (C¸oban and Sec¸me, 2005); and
analysing the dynamic output of a Fuzzy Cognitive Map (Stach
et al., 2005). Despite the diversity of applications, the aspect of
analysing the dynamic behaviour the Fuzzy Cognitive Map is
surprisingly underexposed. Because of its importance in the
context of scenario development
/media/loftslag/Kok_JGEC658_2009.pdf
visibility (me-
teorological optical range, MOR), precipitation intensity, and precipitation type. Light scatters
from particles whose diameter is in the order of magnitude of the wavelength of the light and the
amount of scatter is proportional to the attenuation of the light beam. The extinction coefficient
is defined with the following equation,
s(1=km) = 3000=MOR
where MOR (Meteorological Optical
/media/vedurstofan-utgafa-2019/VI_2019_009.pdf