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Results:

• 1. norsem_atakan_ip

  European Plate Observing System Implementation Phase (EPOS-IP): Services for Solid Earth Science Kuvvet Atakan1 and the EPOS-Consortium2 1 Department of Earth Science, University of Bergen, Norway, E-mail: Kuvvet.Atakan@uib.no 2 EPOS www.epos-eu.org The European Plate Observing System (EPOS) aims to create a pan-European infrastructure for solid Earth science to support a safe /media/norsem/norsem_atakan_ip.pdf

• 2. 2011_005

  transfer and preparation. 3. Assessment of IP-based communication options for dial-up connections. 4. Review of station locations and possibilities for network optimization. 5. Appraisal of data processing, including existing drawbacks, alternative software, future needs for monitoring purposes, data archival, and sharing of CGPS data. 8 1.3 Modifications to original aims As work progressed /media/vedurstofan/utgafa/skyrslur/2011/2011_005.pdf

• 3. Session program Wednesday 12. October

  -IP): Services for Solid Earth Science Kuvvet Atakan and the EPOS-consortium 16:50 – 17:10 European Plate Observing System - Norway (EPOS-N): Integrating the Norwegian Solid Earth Data Kuvvet Atakan and the EPOS-Norway consortium17:30 - 19:30 EPOS meeting - Chair / Organisation /norsem/norsem2016/program/wednesday

• 4. Kjellstrom_Erik_CES_2010

  ANN−10 −5 0 5 10 15 20 delta w (% ) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17C h a n g e i n g e o s t r o p h i c w i n d s p e e d ( % ) Change in wind over the Baltic Sea in 70 years time at the time of CO2-doubling Chen and Aschberger, 2006 17 CM IP G CM s A need for regional ensemble simulations head2right Changes are uncertain head2right Size and sometimes even sign /media/ces/Kjellstrom_Erik_CES_2010.pdf

• 5. Hare-2011-ParticipatoryModelling

  is ar tic le X X X X X X X Identif ygenera lform so f pa rt ici pa to ry m o de llin g Tabl e1 . Co m pa ris o n o ff ra m ew o rk s fo r ca te go riz in g pa rt ic ip at o ry m o de llin g pr o ce ss es . Th is ta bl e co m pa re s di ffe re n tf ra m ew o rk s (bo ld , fir st co lu m n )a cc o rdin gt o th e categorica lcriteri a the yemplo y(column si n italics )an d thei rpurpos e (bold ,fina /media/loftslag/Hare-2011-ParticipatoryModelling.pdf

• 6. Keranen_Jaana_CES_2010

  erations which will be done to protect against th e phenome na a nd its conse quenc es The consequenc es of the phenom ena to the distribution network T he con seque nc es of the phe nom ena to the pow er plant The conse quence s of the phe nomena to e nerg y sourc e and its usability Probability according to IP CC 2007 Phe nom ena acco rding to regional scena rio /media/ces/Keranen_Jaana_CES_2010.pdf

• 7. 2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343

  emic + Aleator y Plan tbreeding ,quarantin e polici es an d pe st/diseas e forecas tin g (no n-structural ) Med-Hig h P R S W Sam e as fo rimpac t N ot es to ch ar ac te ris at io n o fa da pt ati on m ea su re s (se e Fi g. 3 an d Se ctio n 3 fo rf ur th er de tai ls) : Int ent :A : aut onom o us ;P :planne d A ct io n: R :r ea ct iv e; C: co n cu rr en t; A :a n tic ip at or y Tem pora lscope :S /media/loftslag/2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343.pdf

• 8. Refsgaard_etal-2007-Uncertainty-EMS

  - - by - . d - al- ral l on on, the l to in r so ip- de- of ) pollution sources and climate data.  Model structure uncertainty is the conceptual uncertainty due to incomplete understanding and simplified descrip- tions of modelled processes as compared to reality.  Parameter uncertainty, i.e. the uncertainties related to pa- rameter values.  Model technical uncertainty is the uncertainty arising /media/loftslag/Refsgaard_etal-2007-Uncertainty-EMS.pdf

• 9. VanderKeur_etal-2008-Uncertainty_IWRM-WARM

  /media/loftslag/VanderKeur_etal-2008-Uncertainty_IWRM-WARM.pdf

• 10. IPPC-2007-ar4_syr

  /media/loftslag/IPPC-2007-ar4_syr.pdf