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Results:

• 11. raisanen_ruosteenoja_CES_D2.2

  Model Institution BCCR-BCM2.0 Bjerknes Centre for Climate Research, Norway CGCM3.1 (T47) Canadian Centre for Climate Modelling and Analysis CGCM3.1 (T63) same as previous CNRM-CM3 Météo-France CSIRO-MK3.0 CSIRO Atmospheric Research, Australia ECHAM5/MPI-OM Max Planck Institute (MPI) for Meteorology, Germany ECHO-G University of Bonn and Model & Data Group, Germany; Korean Meteorological Agency GFDL /media/ces/raisanen_ruosteenoja_CES_D2.2.pdf

• 12. Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication

  RM, Capraro MM (2002) Myers-Briggs Type Indicator score reliability across studies: a meta-analytic reliability generalization study. Educ Psychol Meas 62:590–602 Carlson JG (1985) Recent assessments of the Myers-Briggs Type Indicator. J Personal Assess 49:356–365 Carlyn M (1977) An assessment of the Myers-Briggs Type Indicator. J Personal Assess 41:461–473 Clack GB, Allen J, Cooper D et al (2004 /media/loftslag/Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication.pdf

• 13. Refsgaard_2-uncertainty

  Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec ARPEGE-CNRM ARPEGE-DMI BCM-DMI BCM-SMHI ECHAM-DMI ECHAM-ICPT ECHAM-KNMI ECHAM-SMHI Lauren P Seaby PhD project www.hyacints.dk Preliminary results Data from 8 climate models in the ENSEMBLES project (A1B) Future climate Down scaling Bias correction Global 100-250 km Scale Regional 10-25 km Hydrological 50-500 m Present climate Climate change /media/loftslag/Refsgaard_2-uncertainty.pdf

• 14. 2010_005_

  Century control runs, as well as 21st Century forecast runs, submitted by various institutions to the Intergovernmental Panel on Climate Change (IPCC) for their Forth 11 Table 1. General circulation and regional climate models that were considered in this study. Model Version Model Name, Institute BCCR BCM 2.0 Bergen Climate Model, Bjerknes Centre for Climate Research, Bergen, Norway CCCMA CGCM 3.1 /media/ces/2010_005_.pdf

• 15. Lorenzoni_Pidgeon_2006

  for people to conceptualise and to relate to their daily activities, arguably because it cannot be easily translated into the language of popular culture (Ungar, 2000; see also mental models of cli- mate change by Bostrom et al., 1994; Kempton, 1997; discussed later). Secondly, the various datasets available detailing public opinions and attitudes on climate PUBLIC VIEWS ON CLIMATE CHANGE: EUROPEAN /media/loftslag/Lorenzoni_Pidgeon_2006.pdf

• 16. VI_2014_006

  to reduce systematic biases in the flow forecasts, if any, a recursive error correction procedure which builds on the algorithm proposed by Boi (2004) is defined, assuming that dis- charge observations are available in real-time and are of good quality. The algorithm establishes a correction to be applied on predicted discharge issued at time t0, based on the error between observed and analyzed /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_006.pdf

• 17. VI_2009_013

  to locate earthquakes in Iceland but the SIL-crustal model has no Moho boundary. Using this model in the routine, daily analysis, the majority of the earthquakes in Eyjafjallajökull form a 3-km-wide chimney between 1 and 10 km depth beneath the northern flank of the volcano. A smaller cloud is also visible between 19 and 25 km depth, about 1.5 km west of the main activity/cluster. 13 Figure 3 /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_013.pdf

• 18. VI_2009_012

  Mw(v) plotted against log distance. The coefficient of correlation between Mw(v) and log distance is 0.24. High correlation coefficients have been shown to affect parameter estimates in one step regression methods (see Fukushima and Tanaka, 1990). The Ci values were also calculated from the derived PGA values. Instead of constructing another magnitude scale based on acceleration it was decided /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_012.pdf

• 19. VI_2015_005

  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

• 20. Daniell_etal-2010

  and evaluating impacts (see also Swallow et al. 2001, van Ast and Boot 2003). METHODS AND DATA This article is based on empirical data that originated from the analysis of the participatory exercise in the Dhuenn basin. The strong involvement of researchers from two research projects (NeWater[1] and ACER[2]) linked by a joint case study led to the variety of sources available for exploration, including /media/loftslag/Daniell_etal-2010.pdf