) and Jónsdóttir (2008).
Therefore, comparison of measured and simulated water balance cannot be di-
rectly used for validation of the model-generated precipitation. According to the
non-scaled MM5 output for the period 1961–1990, mean precipitation for the
whole of Iceland was 1790 mm y−1. After scaling the precipitation, this value
was reduced to 1750mm y−1, i.e. by approximately 2%. This difference
/media/ces/Paper-Olafur-Rognvaldsson_92.pdf
Franz Josef Land. The western boundary
at 71 W excludes Hudson Bay and Foxe Basin, both associated with their own storm climate.
Baffin Bay is included in its entirety, since storm activity in that region is closely linked to that
over the western North Atlantic (Dacre & Gray, 2009). The eastern boundary at 55 E is chosen
to completely include the Barents Sea. This results in an area of 21,625,566
/media/vedurstofan/utgafa/skyrslur/2015/VI_2015_005.pdf
is then
proportional to the mean cube of wind speed,
E =
1
2
r¯ A3G(1+3=k) ; (3)
where r¯ is average air density. Wind power density only depends on atmospheric variables, and is
therefore most appropriate for turbine-independent evaluations of wind energy potential, such as
for wind atlases. To be able to determine the actual power or energy, which can be extracted from
the atmosphere, specific information
/media/vedurstofan/utgafa/skyrslur/2013/2013_001_Nawri_et_al.pdf
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/media/vedurstofan/utgafa/skyrslur/2010/2010_003rs.pdf
Reykjavı´k IS-101, Iceland
2 Centre National de la Recherche Scientifique, Universite´ de Toulouse, Laboratoire d’Etudes en Ge´ophysique et Oce´anographie Spatiale, Universite´ de
Toulouse, 14 Avenue Edouard Belin, Toulouse FR-31400, France
3 National Space Institute, Technical University of Denmark, Lyngby DK-2800, Denmark
Keywords
Remote sensing; glacier mass balance;
regional warming
/media/ces/Gudmundsson-etal-2011-PR-7282-26519-1-PB.pdf
at each site i with the same method used to estimate qR(D;T ), but instead of pooling
AMF series for a given duration D from different sites, the estimation is made individually for
each site i by pooling AMF series for different durations D (see Crochet, 2012c). The index
flood µi(D), is modeled at each site i as a continuous function of D, as follows:
µi(D) =
µi
1+(D=Di)li
; (5)
where µi, Di/media/vedurstofan/utgafa/skyrslur/2014/VI_2014_001.pdf
with the same method used to estimate
qR(D;T ), but instead of pooling AMF series for a given duration D from different sites, the
estimation is made individually for each site i by pooling AMF series for different durations D.
The index flood, µi(D), is modelled at each site i as a continuous function of D, as follows:
12
µi(D) =
µi
1+(D=Di)li
; (6)
where µi, Di and li are basin dependent parameters
/media/vedurstofan/utgafa/skyrslur/2015/VI_2015_007.pdf
). This can be helpful with respect to
finding a common structure in presenting as well in session reporting (for which angles
mentioned in the opening session statements of the Workshop participants can provide
checkpoints).”
Session rapporteur allocation
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/media/loftslag/Guidelines2-for-rapporteurs.pdf
Berthier3
1Institute of Earth Sciences, University of Iceland
2The Icelandic Meteorological Office
3Centre National de la Recherche Scientifique, Laboratoire d’Etudes en Géophysique et Océanographie
Spatiale, Université de Toulouse, France
* Corresponding author, e-mail: sg (at) hi.is
ABSTRACT
We assess the mass balance changes of the ~81 km2 Eyjafjallajökull ice cap in South Iceland,
over three
/media/vatnafar/joklar/Reykholt-abstracts.pdf
Forsíðumynd: Svava Björk Þorláksdóttir mælir með öldustilli
niður á festur í Iðu í Hvítá. Ljósmynd: Njáll Fannar Reynisson.
V E Ð U R S T O F A Í S L A N D S / Á R S S K Ý R S L A 2 0 1 8
3
Viðburðaríkt ár er að baki
hjá starfsfólki Veðurstofunnar
enda felast jafnan margar og
fjöl breyttar áskoranir í vöktun
og rannsóknum á náttúru -
öflum landsins.
Loftslagsmál eru mjög á
döfinni enda stærsta
/media/vedurstofan/utgafa/arsskyrslur/VI_Arsskyrsla_2018_vef.pdf