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Results:

• 11. programme2---PhD-Workshop-preceding-Adaptation-Research-Conference

  & 4 Y u a n g Z h e n g D e n m a r k F o r e s t r y & L a n d s c a p e 2 1 0 A t h a n a s i o s V o t s i s F i n l a n d U r b a n & r e g i o n a l p l a n n i n g 3 3 2 E i v i n d J u n k e r N o r w a y L a w 4 3 3 M i c h a e l L a i h o F i n l a n d E u r o p e a n s t u d i e s 5 2 0 H e c to r G u i n e a B a r r i e n to s S w e d e n N a t u r a l r e s o u /media/loftslag/programme2---PhD-Workshop-preceding-Adaptation-Research-Conference.pdf

• 12. BIGJ_windrose_2005-2014

  Wind rose BIGJ 2005 − 2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 270 260 250 240 230 220 210 200 190 180 170 160 150 140 130 120 110 100 1 2 3 4 5 6 7 Frequency of wind direction (%) Aerodrome Total observations: 1324 Calm: 2.6% Variable winds: 0.23% Average wind speed for wind direction Wind direction (°) Wind speed (knots ) 0 5 10 15 0 45 90 135 180 225 270 315 360 N E S /media/vedur/BIGJ_windrose_2005-2014.pdf

• 13. 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

• 14. BIBD_windrose_2005-2014

  Wind rose BIBD 2005 − 2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 270 260 250 240 230 220 210 200 190 180 170 160 150 140 130 120 110 100 2 4 6 8 10 Frequency of wind direction (%) Aerodrome Total observations: 18358 Calm: 9.5% Variable winds: 1.7% Average wind speed for wind direction Wind direction (°) Wind speed (knots ) 0 2 4 6 8 10 0 45 90 135 180 225 270 315 360 N E S /media/vedur/BIBD_windrose_2005-2014.pdf

• 15. BIHN_windrose_2005-2014

  Wind rose BIHN 2005 − 2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 270 260 250 240 230 220 210 200 190 180 170 160 150 140 130 120 110 100 1 2 3 4 5 6 Frequency of wind direction (%) Aerodrome Total observations: 28301 Calm: 5.3% Variable winds: 1.6% Average wind speed for wind direction Wind direction (°) Wind speed (knots ) 0 2 4 6 8 10 0 45 90 135 180 225 270 315 360 N E S /media/vedur/BIHN_windrose_2005-2014.pdf

• 16. BIVO_windrose_2005-2014

  Wind rose BIVO 2005 − 2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 270 260 250 240 230 220 210 200 190 180 170 160 150 140 130 120 110 100 2 4 6 8 10 12 14 Frequency of wind direction (%) Aerodrome Total observations: 14082 Calm: 18% Variable winds: 2.1% Average wind speed for wind direction Wind direction (°) Wind speed (knots ) 0 5 10 15 0 45 90 135 180 225 270 315 360 N E /media/vedur/BIVO_windrose_2005-2014.pdf

• 17. BIIS_windrose_2005-2014

  Wind rose BIIS 2005 − 2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 270 260 250 240 230 220 210 200 190 180 170 160 150 140 130 120 110 100 2 4 6 8 10 Frequency of wind direction (%) Aerodrome Total observations: 33412 Calm: 12% Variable winds: 11% Average wind speed for wind direction Wind direction (°) Wind speed (knots ) 0 5 10 15 0 45 90 135 180 225 270 315 360 N E S W N /media/vedur/BIIS_windrose_2005-2014.pdf

• 18. CES_D2.4_solar_CMIP3

  by the various models. In the large figure, months from Jan- uary (1) to December (12) are depicted. On the right-top corner there is an enlarged illustration for November-February, i.e., the months with the weakest incident radiation. Unit: MJ m−2 month−1. analysis would corrupt the results severely. Therefore, the present analysis will be based on 18 models, with the CSIRO model excluded. Evaluation /media/ces/CES_D2.4_solar_CMIP3.pdf

• 19. Kok_JGEC658_2009

  ‘‘implode’’—all concepts converge to zero; (2) the concepts can ‘‘explode’’—all factors increase/decrease con- tinuously; (3) there is a cyclic stabilisation; (4) all concepts can stabilise at a constant value. In theory, the procedure should be repeated at least 2  n (total number of concepts) times to allow for all indirect effects to play out. In practice, the pattern can usually be determined /media/loftslag/Kok_JGEC658_2009.pdf

• 20. Group5-Stakeholders_involvement

  /EPP 2 Stakeholders analysis 26 August 2011 PM/YZ/EPP 3 Stake h o l d e r s P u b l i c / p r i v at e P o w e r l e v e l (“ n u i s an ce” ca p a c i t y ) O r i e n tat i o n H or s t e n s m uni c ipal i t y ( c o m pe t e n t a u t h ori t y ) P u b l i c S t ron g Go v ernanc e N eighbour mun i c i p ali t y P u b l i c S t ron g Go v ernanc e Poli c y /media/loftslag/Group5-Stakeholders_involvement.pdf