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• 51. norsem_lund

  and Finland. The event was located approximately 59 km SE of Piteå and 80 km NE of Skellefteå in Sweden, while the distance to the nearest Finnish city, Raahe, was 100 km. The earthquake was widely felt in northern Sweden and Finland, the furthest reports come from some 250 km away, with intensities up to V. The main event was followed by 6 aftershocks within the first 8 hours, and two /media/norsem/norsem_lund.pdf

• 52. Hare-2011-ParticipatoryModelling

  support ) Improv e mode l (integration) ; socia llea rnin g Farmers ,loca l aut horities , association s NO P IN D Cognitiv e mappin g HE T GM B NO P HE T Simulation - by-han d OT :Researcher s KA F F Iska r (Phas e1 ) Co n ce pt u al m o de l (D is cu ss io n su pp o rt ; Com m unication ) Improv e mode l (integration) ; socia llea rnin g Nationa l poli cy-maker s NO P IN D Cognitiv e mappin g HE /media/loftslag/Hare-2011-ParticipatoryModelling.pdf

• 53. Kok_JGEC658_2009

  to be simple and therefore has important drawbacks. Future improvements should be made in the light of applications within a larger toolbox of scenario methods.  2008 Elsevier Ltd. All rights reserved. * Tel.: +31 317 482422; fax: +31 317 419000. E-mail address: kasper.kok@wur.nl. Contents lists available at ScienceDirect Global Environmental Change journa l homepage: www.e lsev ier .com/ locate /media/loftslag/Kok_JGEC658_2009.pdf

• 54. ces-glacier-scaling-memo2009-01

  2008) together with a regression line through this data set and a regression line derived for a data set of more than a hundred valley glaciers (Bahr and others, 1997). The regression lines are of the form v = csg ; (5) where v and s are glacier volume and area, respectively. The coefficient and exponent for the Icelandic ice caps are c = 0:048, g = 1:23, when the area and volume are expressed /media/ces/ces-glacier-scaling-memo2009-01.pdf

• 55. Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change

  at the operational/local level. A calibrated approach (standardized questionnaires and interviews, expert judgment, and reinterpretation of out- comes by means of relevant literature) was used to com- pare the state of affairs in water management in the selected case-studies. Adaptive and integrated water management Given the expected increase of climate-related extreme events, water governance capabilities /media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf

• 56. Tornado_Impacts_-_FMI_Presentation

  -scale Category P e r c e n t a g e o f C a t e g o r y F a t a l i t i e s Permanent Homes Casualties and Timing Casualties and Time of Day 150 200 250 I n d e x V a l u e Fatalities 0 50 100 Overnight Morning Early Afternoon Late Afternoon Late Evening I n d e x V a l u e Injuries Nocturnal Tornadoes 7 8 9 10 R a t i o N i g h t t o O t h e r T i m e s 0 1 2 3 4 5 6 F0 F1 F2 F3 F4 F /media/loftslag/Tornado_Impacts_-_FMI_Presentation.pdf

• 57. Dataseries and components

  Analysed components - IMO's research: Sulphur and salinity measurements: Precipitation: SO4-S, NO3-N, Cl, Na, Mg, K, Ca (mg/l) Precipitation: conductivity (µS/cm), quantity (mm), pH Aerosol: SO4-S, Cl, Na, Mg, K, Ca, Fe (µg/m3) Air: SO2-S (µg/m3) Heavy metals in precipitation: Pb, Cd, Cu, Zn, Cr, Ni, Fe, Mn, V, As, Al (ng/ml) Cl, NO3-N, SO4-S, Na, K, Ca, Mg, NH4-N, Br, F (µg/ml) conductivity (µS/cm /pollution-and-radiation/pollution/components/

• 58. Kjellstrom_Erik_CES_2010

  v An example of spread between individual simulations • Winter (DJF) changes in T2m in the three recommended CES simulations DMI−HIRHAM5−ECHAM5−r3 METNO−HIRHAM−HadCM3Q0 SMHIRCA−BCM Ensemble mean change (2021-2050 vs 1961-1990) in precipitation ANN DJF JJA M E A N S t d D e v An example of spread between individual simulations • Summer (JJA) changes in precipitaiton in four simulations /media/ces/Kjellstrom_Erik_CES_2010.pdf

• 59. CASE_B__Heikki_Tuomenvirta_(FMI)_Introduction

  will review a set of stakeholder involvement and decision making issues with the above outline as backdrop. References: [1] Marttila, V., Granholm, H., Laanikari, J., Yrjölä, T., Aalto, A., Heikinheimo, P., Honkatukia, J., Järvinen, H., Liski, J., Merivirta, R. & Paunio, M. 2005. Finland’s National Strategy for Adaptation to Climate Change. MMM Publication 1a/2005. 276 pp. [2] Kokkarianen, V /media/loftslag/CASE_B__Heikki_Tuomenvirta_(FMI)_Introduction.pdf

• 60. VI_2020_004

  -CALPUFF model is not using plume height estimates as an input parameter. The model itself solves the equations describing the rising of the mixture in the atmosphere and calculates the top-plume height by using some physical parameters as the vertical mixture velocity (V) and the radius of the vent (R). Based on these two parameters, V and R, we get an estimate of the mass flow rate and we /media/vedurstofan-utgafa-2020/VI_2020_004.pdf