vísbending um þróun farvegarins úr breiðu, óafmörkuðu rennsli yfir í
skilvirkar rásir. Einnig kann að vera að í upphafi hlaupsins hafi töluvert vatnsmagn
safnast upp í vatnsgeymum undir jöklinum sem ekki tóku mikinn þátt í því að flytja
rennsli.
v
Mælingar á vatnshita í Skaftá benda til þess að hlaupvatnið sé við eða mjög nærri
frostmarki þegar það kemur undan jöklinum. Þetta bendir til þess að
/media/vedurstofan/utgafa/skyrslur/2009/VI_2009_006_tt.pdf
by remote sensing. Polar Research 2011, 7282, doi: 10.3402/polar.v30i0.7282
Guðmundsson, S., Björnsson, H., Jóhannesson, T., Aðalgeirsdóttir, G., Pálsson, F. & Sigurðsson, O. (2009). Similarities and differences in the response of two ice caps in Iceland to climate warming. Hydrology Research. 40(5), 495-502.
Schuler, T. V., Crochet P., Hock R., Jackson M., Barstad I. & Jóhannesson, T. (2008
/ces/publications/nr/1940
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Experimental results from photon-counting laser altimetry system MABEL
Henriette Skourup, René Forsberg, Sine M. Hvidegaard, Indriði Einarsson, Arne V.
Olesen, Stine K. Rose, Louise S. Sørensen, Veit Helm, Stefan Hendricks, Robert Ricker,
Malcolm Davidson and Tânia Casal
/media/vatnafar/joklar/Reykholt-abstracts.pdf
in an overall
cold bias, compared with station measurements. To test, whether this is due to the HARMONIE
model core or the external surface scheme, biases of 2-m temperature from SURFEX are com-
pared with biases of temperature projected from the lowest two model levels to 2 mAGL. It is
found that the negative temperature biases are due to shallow inversion layers near the ground,
which are introduced
/media/vedurstofan/utgafa/skyrslur/2014/VI_2014_005.pdf
). Locations of the weather sta-
tions, used to reconstruct the temperature and precipitation records,
are shown with letters: Reykjavík (R), Fagurhólmýri (F), Hæll (H),
Stykkishólmur (S), Teigarhorn (T), Vestamannaeyjar (V), Akureyri
(A) and Hólar in Hornafjörður (HH). (B) The surface topography of
Vatnajökull ice cap. Dots show the sites of mass balance and veloc-
ity measurements, blue dots show
/media/ces/Adalgeirsdottir-etal-tc-5-961-2011.pdf
73–100Ásdís Helgadóttir, Emmanuel Pagneux, Matthew J. Roberts, Esther H. Jensen og Eiríkur GíslasonShort summaryChapter V. Öræfi district and Markarfljót outwash plain: Rating of flood hazards (pdf 2.35 Mb)Pages 101–122Emmanuel Pagneux og Matthew J. RobertsShort summaryChapter VI. Öræfi district and Markarfljót outwash plain: Spatio-temporal patterns in population exposure to volcanogenic floods
/volcanoes/about-volcanoes/oraefajokull/new-research/
are being used
to analyse the occurrence of dry spells,
both from historical data and from
climate scenario simulations. There is
significant year-to-year variability in the
pattern of rainfall, and this variability is
assessed based on the range of values
from individual years in the analysis.
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Photo by V. Kudryavskiy, LEGMA
Regional
/media/ces/ces_SA_group_flyer_new.pdf
) Measured 1997 and 1999 ice surfaces of Lang‐
jökull and Hofsjökull, respectively. c) Steady‐state glacier
geometries after a few hundred year spin‐up with constant
mass balance forcing.
Figure 3: Simulated response of Langjökull (L), Hofsjökull (H)
and southern Vatnajökull (V) to climate change. The inset
numbers are projected volumes relative to the initial stable
ice geometries
/media/ces/ces_flyer_glacierssnowandice.pdf
EA Analyse A/S and Optensys
Energianalys will forecast energy system variables, while SINTEF Energy Research will make
assumptions for the energy system in different cases, include new inputs in the EMPS model and
carry out simulations.
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/media/ces/esa_flyer_new.pdf