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Results:

• 31. TietavainenHanna_CES_2010

  -2100 p r e c i p i t a t i o n s u m ( m m ) • Relative increase largest in May • NE: Absolute increase largest in May-June barb2right the difference between the driest and wettest summer months will decrease • SW: Absolute increase largest in July barb2right increasing the inter-monhtly differences in precipitation • Smallest increase in August in both areas SW NE CES Conference, Oslo 31.5 /media/ces/TietavainenHanna_CES_2010.pdf

• 32. CASE_B__Heikki_Tuomenvirta_(FMI)_Introduction

  of climate change on the routine and periodic maintenance of roads. Helsinki 2009. Finnish Road Administration, Central Administration. Finnra reports 8/2009, 66 p. + app. 8 p. ISSN 1459-1553, ISBN 978-952-221-172-9, TIEH 3201122-v. (in Finnish, abstract in English) [5] Salanne, i., Byring, B., Valli, R., Tikkanen, R., Peltonen, P., Haapala, J., Jylhä, K., Tolonen-Kivimäki, O., and Tuomenvirta, H /media/loftslag/CASE_B__Heikki_Tuomenvirta_(FMI)_Introduction.pdf

• 33. ECONOMIC_EFFECTS_OF_CLIMATE_CHANGE_ON_THE_TOURISM_SECTOR_IN_SPAIN

  ECONOMIC EFFECTS OF CLIMATE CHANGE ON THE TOURISM SECTOR IN SPAIN By Ana Gargallo-Castel Department of Business Administration University of Zaragoza, C/ Ciudad Escolar, s/n 44003 TERUEL, SPAIN Phone: 00 34 978 61 81 01. Fax 00 34 978 61 81 03 Email: gargallo@unizar.es Luisa Esteban-Salvador Department of Finance and Accounting University of Zaragoza, C/ Ciudad Escolar, s/n /media/loftslag/ECONOMIC_EFFECTS_OF_CLIMATE_CHANGE_ON_THE_TOURISM_SECTOR_IN_SPAIN.pdf

• 34. Traffc-maintenance_expenditures

  229 1 587 160 1970 18 591 42 413 2 166 86 101 - 892 5 131 2 310 201 - - - 157 805 1 652 904 1969 17 559 38 840 2 313 93 776 - 922 4 562 1 571 - - - - 159 543 1 832 354 1968 13 474 36 376 3 074 104 519 - 1 080 4 131 1 156 - - - - 163 811 1 964 368 1967 11 139 34 495 5 940 95 857 - 419 3 032 1 087 - - - - 151 968 1 936 249 1966 9 835 32 581 8 349 94 777 - 587 4 205 1 743 - - - - 152 077 2 032 936 /media/loftslag/Traffc-maintenance_expenditures.pdf

• 35. Public-Choice-2012---Teyssier---Inequity-and-risk-aversion-in-sequential-public-good-games

  individuals act like homo-œconomicus agents (see for example Andreoni 1988; Berg et al. 1995; Camerer 2003; Forsythe et al. 1994; Isaac et al. 1984). Recent developments in public-choice theory have taken a behavioral approach to broaden the analysis of collective action. The introduction of social preferences, such as altruism, inequity aversion or trust, may mean that optimal collective choices /media/loftslag/Public-Choice-2012---Teyssier---Inequity-and-risk-aversion-in-sequential-public-good-games.pdf

• 36. Reykholt-abstracts

  in July 2016 on a Delta II rocket from Vandenberg Air Force Base in California. ICESat-2 will carry the Advanced Topographic Laser Altimeter System (ATLAS) and collect data to a latitudinal limit of 88 degrees. In contrast to Geoscience Laser Altimeter System (GLAS) on ICESat, ATLAS employs a 6-beam micro-pulse laser photon-counting approach. It uses a high repetition rate (10 kHz; 70 cm /media/vatnafar/joklar/Reykholt-abstracts.pdf

• 37. D2.3_CES_Prob_fcsts_GCMs_and_RCMs

  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/D2.3_CES_Prob_fcsts_GCMs_and_RCMs.pdf

• 38. esa_flyer_new

  ) will in general be be better and more consistent when using automatic instead of manual calibration. 10 40 70 1 0 0 0 13 26 39 52 Week Res er voir l ev el (% ) 1 All capacities and costs will be updated to the expected system in 2020. Some uncertainty regarding the amount of new renewable generation and/or climate will be analyzed in different cases. We will make a model for Norway, Sweden /media/ces/esa_flyer_new.pdf

• 39. Alam_Ashraful_CES_2010

  biomass at EBT and FF in Finland Management regimes Current c mate C mate c ange EBT FF Total EBT FF Total TWh yr-1 % TWh yr-1 % M0 (0%) 8.7 40.4 49.1 -- 17.8 67.5 85.4 -- M1 (+15%) 8.7 43.9 52.6 7 18.1 72.8 90.9 7 M2 (+30%) 8.4 46.4 54.8 12 18.4 76.4 94.8 11 M3 (+45%) 8.1 48.7 56.8 16 19.0 80.3 99.3 16 a l a r e a ( m 2 h a - 1 ) Basal area just before thinning Remaining basal area threshold /media/ces/Alam_Ashraful_CES_2010.pdf

• 40. Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management

  the body of knowledge in any given area by mapping out cause-and-effect relationships among key variables and encoding them with numbers that represent the extent to which one variable is likely to affect another (Jensen, 2002). Factors, associations and probabilities can be adjusted and validated and BNs are powerful for integrating data and knowledge from different sources and domains, e.g /media/loftslag/Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management.pdf