Veðurstofa Íslands
2 Almannavarnadeild Ríkislögreglustjóra
3 Jarðvísindastofnun Háskólans
4 Istituto Nazionale di Geofisica e Vulcanologia (INGV), Bologna
5 Istituto Nazionale di Geofisica e Vulcanologia (INGV), Pisa
6 Jarðvísindadeild Háskóla Íslands
7 Agricultural University of Iceland
8 Consultant
Skýrsla nr. Dags. ISSN Opin Lokuð
VÍ 2020-011 Desember 2020 1670-8261 Skilmálar:
Heiti skýrslu
/media/vedurstofan-utgafa-2020/VI_2020_011_en.pdf
Refsgaard a,*, Jeroen P. v
Peter A. Vanroll
a Geological Survey of Denmark and Greenlan
b Copernicus Institute for Sustainable Development and Innovation
Utrecht University, Utrecht
c
Environmental Modelling & Softwar
equitable manner without compromising the sustainability of
* Corresponding author. Tel.: þ45 38 142 776; fax: þ45 38 142 050.
E-mail address: jcr@geus.dk (J.C. Refsgaard).
1364-8152
/media/loftslag/Refsgaard_etal-2007-Uncertainty-EMS.pdf
) and changing climate (CC:CC)
1. Current climate (CU)
- varying thinning regimes
(0%, 15%, 30%,45%)
2. Changing climate (CC)
- varying thinning regimes
(0%, 15%, 30%,45%)
3. Current (CU) &
changing climate (CC)
- current thinning regime
4. Current (CU) &
changing climate (CC)
- changed thinning regimes
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/media/ces/CES_BioFuels_Flyer_new.pdf
course – Adaptive management in relation to climate change – Copenhagen 21-26/8/2011
……………………………………………………………………………………………………………………………………………………………………
6
Figure 1. Flow chart summarizing information and decision flows of an adaptive management inspired
adaptation planning cycle for road transport (at national strategic / tactical level)
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Journal of Environmental Psycholog
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Acceptability of travel demand management (TDM) with the aim of reducing private car use is modeled following a hierarchical
set of beliefs. In a two-part model, pro-environmental orientation, problem awareness, personal norm, and willingness to reduce car use
are linked to beliefs about to which extent the specific TDM measure is perceived
/media/loftslag/Eriksson_Garvill_Nordlund_2006.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