71 results were found for u 리얼프리툰ㅉ《ㅌ레dr8899’ 구글광고✻리얼프리툰주소 리얼프리툰 리얼프리툰주소.

Results:

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

  (on CC impact s and )i s use d in publi c debate s (an di s no t distorted ) Raadgeve re t al .( 200 8) Ne w informatio n (on CC impacts )influence s polic y 24 .Decisio n suppor t syste m Rive rbasi n informatio n system s ar e u p to internationall y recognize d standard s (e.g .WB/UND P standards ) Youn g (200 2), Willi s an d Whittake r( 200 2) Climate change adaptation in European river basins /media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf

• 62. VI_2014_006

  and candidate situations is evaluated with the Teweles-Wobus (S1) skill score (Wilks, 1995). The S1 score compares the shape of two fields by considering their gradient at each grid point of the analogy domain: S1(u) = 100 n 1 i=1 m j=1 jDAi DFij+ n i=1 m 1 j=1 jDA j DFjj n 1i=1 m j=1 Gi + n i=1 m 1 j=1 G j (3) with DAi = A(i+1; j;u) A(i; j;u) (4) DFi = F(i+1; j; t) F(i; j; t) (5) DA j /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_006.pdf

• 63. Publications

  of glaciers to climate change - case studies on Storglaciären and Hofsjökull. Presented at the European Conference on Impacts of Climate Change on Renewable Energy Sources, Reykjavik, Iceland, June 5-9. [Extended abstract] Hock, R., Jansson, P., & Braun, L. (2005). Modelling the response of mountain glacier discharge to climate warming. In U. M. Huber, H. K. M. Bugmann & M. A. Reasoner (Eds.), Global /climatology/research/ce/publications/

• 64. VI_2014_001

  i=1 1 L L l=1 Qi(D;Tl) bQi(D;Tl) Qi(D;Tl) x100; (13) RMSET (%) = 1 N N i=1 v u u t1 L L l=1 Qi(D;Tl) bQi(D;Tl) Qi(D;Tl) 2 x100; (14) where Qi(D;Tl) is the reference flood quantile at gauged site i and return period Tl , calculated with the GEV distribution from the observed AMF series and bQi(D;Tl) is the estimated flood quantile, calculated with the index flood method, (Eq. 1). 15 4 /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_001.pdf

• 65. VI_2015_007

  50 years. The quality of the estimation was evaluated by cal- culating the relative root mean squared error of the quantile estimates for each site, and then the average over all sites was calculated (RMSET ): RMSET (%) = 1 N N i=1 v u u t1 L L l=1 Qi(D;Tl) bQi(D;Tl) Qi(D;Tl) 2 x100 (9) where Qi(D;Tl) is the reference flood quantile at gauged site i and return period Tl , calculated /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_007.pdf

• 66. VI_arsskyrsla2020

  /media/vedurstofan-utgafa-2020/VI_arsskyrsla2020.pdf

• 67. GA_2009_91A_4_Andreassen

  /media/ces/GA_2009_91A_4_Andreassen.pdf

• 68. vonKorff_etal-2010

  /media/loftslag/vonKorff_etal-2010.pdf

• 69. 2010_012rs

  /media/vedurstofan/utgafa/skyrslur/2010/2010_012rs.pdf

• 70. VI_2020_011_en

  /media/vedurstofan-utgafa-2020/VI_2020_011_en.pdf