to be
estimated based on return periods for accumulated precipitation over a fixed timescale,
which is typically 24 hours.
10. Precipitation return periods need to be translated into engineering recommendations
suitable to the type of infrastructure and activity in question.
From the above list, this report addresses points 1, 2, 3, 4 and 7. Point 9 is considered but not
addressed completely
/media/vedurstofan-utgafa-2020/VI_2020_008.pdf
on the snowpack,
temperature and melting timeseries extracted from the ICRA dataset.
17
Table 2. Difference in the beginning of the melt season (in days) for all catchments over the
timespan 1979 – 2017.
Catchment
Difference in beginning of
the melt season
days
Mean date
Blönduvirkjun -9 01/05
Búðarháls -21 04/04
Hágöngulón -5 19/05
Hálslón 0 22/05
Hraunaveita -11 08/05
/media/vedurstofan-utgafa-2022/VI_2022_006_extreme.pdf
26.8.2011
Social cost-benefit
analysis in the context
of regional adaptation
planning
Adriaan Perrels FMI
NONAM PhD Summerschool on
Adaptive management in relation to
climate change
GEUS/FIVA Copenhagen 21-26.8.2011
26.8.2011Adriaan Perrels/IL 2
Presentation structure
• Context of climate change, adaptation and
infrastructure
• Cost-benefit analysis in brief
• The basics and metrics
/media/loftslag/Perrels-CBA.pdf
/CES_D2.4_task1.html
2
Table of Contents
Abstract 1
1. Introduction 22. Methods and data sets 5
3. Results for temperature 7
4. Results for precipitation 14
5. Tables for individual locations 19
6. Summary 24
Appendix: details of methodology 26
A.1 Data sets 26
A.2 Derivation of regression coefficients 27
A.3 Smoothing of the probability distributions 30
References 31
/media/ces/CES_D2.4_task1.pdf
J600v berg 2.utg) were also used in this study.
Table 1. Main characteristics of river basins used in this study.
River Name Type Area Mean Percentage Mean annual Period
/ (km2) elevation glacier precipitation for
Gauging (m a.s.l) (mm) streamflow
station (1961-2014) data
vhm59 Ytri-Rangá L 622 365 0 1564 1961–2014
vhm64 Ölfusá L+D+J+S 5687 480 12.2 2003 1950–2014
vhm66 Hvítá (Borgarfirði) L+J 1577
/media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf
Infrasonic and Seismic Signatures of the 2014 Askja Landslide
Giulia Barfucci¹, Maurizio Ripepe¹, Giorgio Lacanna¹, Emanuele Marchetti¹,
Kristín Jónsdóttir², Kristín S. Vogfjörð²
(1) Department of Earth Sciences, University of Firenze, via LaPira, 4, 50121 Firenze, Italy
(2) Icelandic Meteorological Office, Reykjavik, IS-108, Iceland
Landslides commonly occur at active volcanoes and represent
/media/norsem/norsem_giulia.pdf
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