............................................................................................................ 4
3. Best estimates of temperature and precipitation change................................................ 7
4. How certainly will temperature and precipitation increase? ....................................... 10
5. Uncertainty ranges and quantiles of temperature and precipitation change .............. 12
6. Hindcast verification of the resampling ensemble
/media/ces/raisanen_ruosteenoja_CES_D2.2.pdf
at 67 sites: (a) 100-year floods with the Gumbel
distribution and (b) average discharge.
−6
0
−4
0
−2
0
0
20
40
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Scenario number
Change in 100a Flood (%
)
Fig. 5. Box plot (median, 25 and 75 percentiles, average [diamond], max and min) of changes in 100-year floods in 2070–2099 at the 67 sites with different scenarios.
Numbering of the scenarios
/media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf
about 20-25% in 2010 to about 50% in 2050. Perhaps surprisingly,
a particularly high probability is found in Iceland, most likely as a result of the small
12
interannual variability there. As expected, the probability of very warn years rises even faster
than that of warm months – in northern Europe from typically 30-40% in 2010 to about 60-
80% in 2030 and to 85-95% or even more in 2050
/media/ces/CES_D2.4_task1.pdf
affecting climate change; increased
skin cancers resulting from climate change), while mitigation measures proposed by
the interviewees typically focused on general pollution control. These researchers
(Read et al., 1994; Kempton, 1997) point out that not all misconceptions matter for
80 I. LORENZONI AND N. F. PIDGEON
communicating risks to lay publics. Rather, policy makers should concentrate upon
/media/loftslag/Lorenzoni_Pidgeon_2006.pdf
............................................................................................................... 33
Lidar measurements of the cryosphere
Reykholt, Iceland, June 20–21, 2013
3
CryoSat-2 Arctic sea-ice freeboard and thickness data product and its validation
Ciaran Robb, Ian Willis and Neil Arnold ............................................................................ 34
Using airborne remote
/media/vatnafar/joklar/Reykholt-abstracts.pdf
Nesjum
0-5 5-10 10 15 20-15
2008-2018
1979-1989
Dæmi um ólíkt rennslismynstur.
100
90
80
70
60
50
40
30
20
10
0
Júní
mánaðarmeðaltal
Ársmeðaltal
Rennsli
m
3 /s
Sigurvegarinn í getraun Veðurstofunnar á Vísindavöku Rannís hlaut
heimsókn á Veðurstofuna að launum. Salka Elín Sæþórsdóttir ásamt
vinum sínum, Ými og Bjarti. Með þeim á myndinni er Ragnar Heiðar
Þrastarson, fagstjóri landfræðilegra
/media/vedurstofan/utgafa/arsskyrslur/VI_Arsskyrsla_2018_vef.pdf
part of Upper Tisza. Based on data from EM-DAT:
The OFDA/CRED International Disaster Database 2008
1 For a disaster to be entered into the Emergency Events Database
(EM-DAT) at least one of the following criteria must be fulfilled: (1)
Ten or more people reported killed; (2) Hundred people reported
affected; (3) Declaration of a state of emergency; (4) Call for
international assistance (From: EM
/media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf