89 results were found for Strategie JZMOR per affrontare la frode e salvaguardare i tuoi fondi.

Results:

• 61. VI2010-006_web

  5.6 Hafnarstræti 23–89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 5.7 Grófargil . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 5.8 Gleráreyrar og farvegur Brunnár . . . . . . . . . . . . . . . . . . . . . . . . . 36 6 Niðurstaða 37 7 Heimildir 38 Viðaukar I Tæknileg hugtök og skilgreiningar 41 II Langsnið brauta 43 III Kort 49 5 6 1 /media/vedurstofan/utgafa/skyrslur/2010/VI2010-006_web.pdf

• 62. D2.3_CES_Prob_fcsts_GCMs_and_RCMs

  residual not explained by the large-scale climate change. We assume e to be normally distributed with zero mean and variance � '' N i LARGELOC bxaxN 1 22 )( 1H (3.2) By neglecting the sampling uncertainty in a and b, (3.2) gives a downward biased estimate of the residual variance. However, this bias is not easily corrected for the resampled ENSEMBLES data set in which /media/ces/D2.3_CES_Prob_fcsts_GCMs_and_RCMs.pdf

• 63. 2010_017

  and e mean ing the polated atically Figure he cold nd then e lower narrow tic melt han for Sandá modelle constra not don Table Month Mean M Mean ob Differen Figu (vhm and M í Þistilfirð i d tempera ints and sin e. 4. Mean m Ja M5 [C°] -5. s. [C°] -7. ce 1. re 6. Comp 144); an i M5 tempe and were ture data ce this was onthly tem n Feb Mar 9 -5.7 -5.7 2 -6.8 -6.4 3 1.1 0.7 /media/ces/2010_017.pdf

• 64. Perrels-CBA

  Permanent Transient Mode I: Slow and fundamental • Sea level rise (navigation effects, flood risks) • Retreat of sea ice (with annual fluctuations) • Increased weather variability, notably worse winter conditions Mode II: Slow underlying trends culminating in quick changes • Exponential growth of algae in the Baltic Sea and in lakes (impacts or tourist travel) • Collapsing fish /media/loftslag/Perrels-CBA.pdf

• 65. Gudmundsson-etal-2011-PR-7282-26519-1-PB

  Reykjavı´k IS-101, Iceland 2 Centre National de la Recherche Scientifique, Universite´ de Toulouse, Laboratoire d’Etudes en Ge´ophysique et Oce´anographie Spatiale, Universite´ de Toulouse, 14 Avenue Edouard Belin, Toulouse FR-31400, France 3 National Space Institute, Technical University of Denmark, Lyngby DK-2800, Denmark Keywords Remote sensing; glacier mass balance; regional warming /media/ces/Gudmundsson-etal-2011-PR-7282-26519-1-PB.pdf

• 66. vonKorff_etal-2010

  of the stakeholders and context. This principle integrates a number of ideas. Among other concepts, it states that stakeholders should be involved in framing or formulating the problem to be addressed in the participation process; that participation mechanisms should be chosen according to the needs of the public, e.g., interest, knowledge, and the realities of the context, e. g., resources, environment /media/loftslag/vonKorff_etal-2010.pdf

• 67. VI_2009_006_tt

  Special thanks go to Gwenn E. Flowers at the Simon Fraser University in Vancou- ver for providing me with her Matlab code for the coupled sheet–conduit model, for her comments and assistance with model calibration and discussions of model results. I thank Finnur Pálsson and Helgi Björnsson at the Institute of Earth Sciences at the University of Iceland for providing profiles of the subglacial flood /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_006_tt.pdf

• 68. 2013_001_Nawri_et_al

  through surface heating over land are most frequent in July. Both types of convective storms are most common in southern and southwestern Iceland, and are reported on fewer than 2 days per year in any given region. With a weakening of the large-scale atmospheric circulation in summer, temperature-driven downslope, or katabatic, winds from the glaciers may become important. They can develop either /media/vedurstofan/utgafa/skyrslur/2013/2013_001_Nawri_et_al.pdf

• 69. Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management

  Journal of Environmental Management 88 Heid , Øste d e A broad range of tools are available for integrated water resource management (IWRM). In the EU research project NeWater, a Human dependence on water leaves us vulnerable to climate change, flood and drought hazards, and poverty dynamic element of vulnerable groups and their relation- ship to water resources, and to represent the decisions /media/loftslag/Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management.pdf

• 70. VI_2015_009

  ) Mean absolute error (MAEµ) Nash-Sutcliffe efficiency (NSµ) (Nash & Sutcliffe, 1970) With RMSEµ(%) = s 1 N N i=1 bµi(D) µi(D) µi(D) 2 x100 (4) MAEµ(m 3=s) = 1 N N i=1 jbµi(D) µi(D)j (5) NSµ = 1 Ni=1 bµi(D) µi(D) 2 Ni=1 µi(D) E[µi(D)] 2 (6) 12 where µi(D) is the reference index flood at target site i defined by the arithmetic mean of ob- served AMF, and N the total number /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf