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  • 31. Spatial_perception_of_flood_hazard_in_the_urban_area_of_Selfoss,_Iceland

    Spatial perception of flood hazard in the urban area of Selfoss Emmanuel P. Pagneux 1, 2 1 Icelandic Meteorological Office Grensásvegur 9 – 108 Reykjavík – ICELAND 2 Department of Geography and Tourism Faculty of Life and Environmental Sciences / School of Engineering and Sciences University of Iceland Aska, Sturlugata 7 – 101 Reykjavík – ICELAND Email: emmanuel@vedur.is /media/loftslag/Spatial_perception_of_flood_hazard_in_the_urban_area_of_Selfoss,_Iceland.pdf
  • 32. Adalgeirsdottir-etal-tc-5-961-2011

    were carried out to obtain the flow and sliding parameters for Hoffellsjökull that resulted in a good simulation of the observed 20th century evolution of the glacier geometry. The obtained values for the rate factor and the sliding parameter are A= 4.6× 10−15 s−1 kPa−3 and C = 10× 10−15 m a−1 Pa−3, respectively. The ice divide is kept at a fixed location in the model com- putations presented here /media/ces/Adalgeirsdottir-etal-tc-5-961-2011.pdf
  • 33. VI_2015_005

    model grid point must be taken into account. At latitude f , the grid-box size is given by dA = a2 cosf dldf ; (1) where a = 6371 km is the Earth’s mean radius, and latitude and longitude are measured in radians. For the ECMWF reanalyses, angular grid-point spacing dl = df = p=180 is constant across the domain. The low-pressure centre count at each grid point is then multiplied by dA=dA, with mean /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_005.pdf
  • 34. Group2-PresentationWithPictures[1]

    this in a real planning process • Robust measures • Uncertainties • Synergies and tradeoffs Thank you References • Pictures in order of occurence: • http://www.ecoboot.nl/ecoboot_new/?p=351 • http://www.edie.net/products/view_entry.asp?id=4984&channel=0&title=Flood+P rotection+and+Flow+Control+Specialists • http://progressivetimes.wordpress.com/2011/02/10/indoor-farming-may-be- organics /media/loftslag/Group2-PresentationWithPictures[1].pdf
  • 35. CES_BioFuels_Flyer_new

    ) 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 C l i m a t e s c e n a r i o s M ea s u r e m en t s o f c l i m a t e p /media/ces/CES_BioFuels_Flyer_new.pdf
  • 36. Kriauciuniene_Jurate_CES_2010

    of temperature anomaly (ºC) between 1991-2007 and 1961-1990 Variation of annual T anomaly (ºC) between 1991-2007 and 1961-1990 Seasonal differences of P anomaly (in %) between 1991-2007 and 1961-1990 Seasonal differences of Q anomaly (in %) between 1991-2007 and 1961-1990 Variation of annual P and Q anomaly (%) between 1991-2007 and 1961-1990 -40 -25 -10 5 20 35 50 1 9 2 0 1 9 4 0 1 9 6 /media/ces/Kriauciuniene_Jurate_CES_2010.pdf
  • 37. 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
  • 38. VI_2014_005

    in an overall cold bias, compared with station measurements. To test, whether this is due to the HARMONIE model core or the external surface scheme, biases of 2-m temperature from SURFEX are com- pared with biases of temperature projected from the lowest two model levels to 2 mAGL. It is found that the negative temperature biases are due to shallow inversion layers near the ground, which are introduced /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_005.pdf
  • 39. Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management

    adaptive management structured process of learning by doing with the aim scien  Involv e a large scale, holistic alternative to reductionism ce; and  Hel  B p build flexible management capacity. efficie e learning about water resource systems more nt. adaptive water management (Pahl-Wostl and Sendzimir, 2005). Adaptive management (AM) involves learning from management actions and using /media/loftslag/Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management.pdf
  • 40. 2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343

    sr el at ed to ag ric ul tu re in D en m ar k Cl im at e ch an ge im pa ct Adaptatio n Typ e o f proble m Conse quenc e Ris k leve l Dom inatin g uncertaint y Optio n Cos t leve l Inten t Actio n Tempora l scop e Spatia l scop e Additiona luncertaint y Sou rc e Natur e Sourc e Natur e In cr ea se d su m m er drought san d highe r w at er re qu ire m en ts caus e by longe rcro p growt h durat io n /media/loftslag/2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343.pdf

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