More than 100 results were found for [77AGG. COM]susi slot slot agp slot bom77 svip2 slot slot 88 jp slot 303 l05.

Results:

• 21. VI_2020_008

  by the Peak-over-Threshold with MLE applied on daily and 24-hour accumulated precipitation from the ICRA. ............................... 58 8 Glossary 1M5 – Daily or 24-hour precipitation return level with a 5-year return period AMS – Annual Maxima Series CC – Closeness Coefficient CDO – Climate Data Operator EVA – Extreme Value Analysis GP – Generalized Pareto ICRA – Icelandic /media/vedurstofan-utgafa-2020/VI_2020_008.pdf

• 22. Kok_JGEC658_2009

  and that paving major roads will lead to deforestation. C3: Conservation units. A large percentage of the Amazon (close to 33%) is classified as some kind of protected area. This includes indigenous reserves, federal parks and national parks. Only about 5% is strictly protected, although it is argued that ‘paper parks’ can also be effective. C4: Forest accessibility. The amount of forest /media/loftslag/Kok_JGEC658_2009.pdf

• 23. VanderKeur_etal-2008-Uncertainty_IWRM-WARM

  cia l sy ste m ): th re e m ai n gr ou ps o fthreat s ar e at th e scene : cl im at e, so ci o -e co n o m ic s an d gover nanc e 1: M ai nl y ep ist em ic pl us som e onto logi ca l 2:S cenari o Pa rti ci pa to ry pr oc es s (PP ) imp ortan tt o de al w ith un certaint y Pa rti cip at o ry pr o ce ss (PP )im po rta n tt o de al w ith u n ce rta in ty : Pa rti ci pa to ry go al se tti ng :c o n /media/loftslag/VanderKeur_etal-2008-Uncertainty_IWRM-WARM.pdf

• 24. BIKF_windrose_2005-2014

  direction (%) Aerodrome Total observations: 14883 Calm: 2.2% Variable winds: 0.55% 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 (Number of observations for wind direction) Icelandic Met Office 02. júl. 2015 62 1 87 9 97 3 79 5 45 3 30 9 24 2 33 8 23 8 19 1 20 6 30 9 38 1 45 2 65 6 63 1 46 0 42 2 41 7 28 1 30 1 33 2 /media/vedur/BIKF_windrose_2005-2014.pdf

• 25. BIVM_windrose_2005-2014

  N E S W N (Number of observations for wind direction) Icelandic Met Office 02. júl. 2015 114 8 128 7 84 9 36 1 26 0 13 9 24 3 65 4 136 4 250 3 366 4 298 8 189 6 146 9 99 9 160 6 111 5 83 5 86 1 86 4 80 0 82 6 92 4 96 3 97 5 124 9 109 5 127 7 122 4 115 3 88 0 61 9 52 3 55 3 96 0 109 9 Wind rose BIVM January 2005−2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 /media/vedur/BIVM_windrose_2005-2014.pdf

• 26. Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication

  RM, Capraro MM (2002) Myers-Briggs Type Indicator score reliability across studies: a meta-analytic reliability generalization study. Educ Psychol Meas 62:590–602 Carlson JG (1985) Recent assessments of the Myers-Briggs Type Indicator. J Personal Assess 49:356–365 Carlyn M (1977) An assessment of the Myers-Briggs Type Indicator. J Personal Assess 41:461–473 Clack GB, Allen J, Cooper D et al (2004 /media/loftslag/Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication.pdf

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

  are currently melting at a fast rate. Over recent decades, annual mass balance field observations on the three largest ice caps in Iceland* Langjo¨kull (ca. 900 km2), Hofsjo¨kull (ca. 890 km2) and Vatnajo¨kull (ca. 8100 km2)*show a declining specific mass balance from about 0 m yr1 w. eq. on average from 1980 to 1994 to 1 to 1.3 m yr1 w. eq. on average after 1995 (Bjo¨rnsson et al. 2002 /media/ces/Gudmundsson-etal-2011-PR-7282-26519-1-PB.pdf

• 28. VI_2009_012

  Mw(v) plotted against log distance. The coefficient of correlation between Mw(v) and log distance is 0.24. High correlation coefficients have been shown to affect parameter estimates in one step regression methods (see Fukushima and Tanaka, 1990). The Ci values were also calculated from the derived PGA values. Instead of constructing another magnitude scale based on acceleration it was decided /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_012.pdf

• 29. 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

• 30. raisanen_ruosteenoja_CES_D2.2

  Model 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/raisanen_ruosteenoja_CES_D2.2.pdf