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

    ¨kull to monitor inflation and deflation of the volcano (e.g., Pinel et al. 2007; Gudmundsson et al. 2010) both before and after the 2010 eruption. Data and methods The multi-temporal DEMs are constructed from the best available Defense Mapping Agency (DMA) aerial photographs taken between 1979 and 1984 in south Iceland, airborne Synthetic Aperture Radar (SAR) images obtained on 12 August 1998 /media/ces/Gudmundsson-etal-2011-PR-7282-26519-1-PB.pdf
  • 82. Refsgaard_2-uncertainty

    impacts on hydrology The chain of uncertainties Models • Emission scenarios • Climate models (GCM + RCM) • Downscaling / bias correction Statistical downscaling/bias correction • Many different methods for making statistical downscaling  different results • We cannot know beforehand which downscaling method will turn out to be the best one • Example – comparison of two methods for future /media/loftslag/Refsgaard_2-uncertainty.pdf
  • 83. VI_2015_005

    This is also the case with cyclones in all three sectors. Cyclones in the eastern or western sector are also strongly affected by the presence of central cyclones. In both sectors, cyclones tend to move east, unless there are cyclones in the neighbouring sector, in which case pressure tendencies are reversed. 21 Figure 10. Composite mean temporal MSLP tendencies, for different MSLP modes. Com- posite mean /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_005.pdf
  • 84. Hare-2011-ParticipatoryModelling

    support ) Improv e mode l (integration) ; socia llea rnin g Farmers ,loca l aut horities , association s NO P IN D Cognitiv e mappin g HE T GM B NO P HE T Simulation - by-han d OT :Researcher s KA F F Iska r (Phas e1 ) Co n ce pt u al m o de l (D is cu ss io n su pp o rt ; Com m unication ) Improv e mode l (integration) ; socia llea rnin g Nationa l poli cy-maker s NO P IN D Cognitiv e mappin g HE /media/loftslag/Hare-2011-ParticipatoryModelling.pdf
  • 85. ces-oslo2010_proceedings

  • 86. Kok_et_al._TFSC_published_2011

    proposed 2025 horizon, mostly to include the impact of climate change. Furthermore, the use of fast-track scenarios and the selection of the best set of scenarios was discussed in detail. It was decided to use the GEO-4 scenarios [20] developed for Europe (unpublished), where both qualitative storylines and model output had been used, as the starting point of the SCENES scenario development process /media/loftslag/Kok_et_al._TFSC_published_2011.pdf
  • 87. Update on activity in Eyjafjallajökull 2010

    and up to the thermal imaging camera of the satellite. For strong detection it is important that the background be warm in comparison to the aerosol. A thermal background such as from the ocean surface, land or low clouds, works best because warm objects radiate more and result in greater amounts of scattered radiation, light-particle 'collisions' if you will. As a cooperating member of EUMETSAT /earthquakes-and-volcanism/articles/nr/1884
  • 88. VI_2021_008

    morning tremors of April 14, 2010 that provided such an early warning time for the Eyjafjallajökull eruption. There is not a definitive start time in the literature for the Eyjafjallajökull summit eruption on April 14, but best estimates of the eruption place it around 06:00 between two pulses of low-frequency dominant tremor (see Table 1); visually, there is no tremor pulse directly coinciding /media/vedurstofan-utgafa-2021/VI_2021_008.pdf
  • 89. Keskitalo_et_al-MLG_and_adaptation_FINAL

    to adaptation, the participation of the Province of Ferrara in a partly EU-funded project, the Climate Alliance’s Adaptation and Mitigation – an Integrated Climate Policy Approach (AMICA), has allowed the province to access information and best practice networks on adaptation. Beyond this engagement, the Province of Ferrara and is responsible for implementing the region’s water and other plans, including /media/loftslag/Keskitalo_et_al-MLG_and_adaptation_FINAL.pdf
  • 90. NONAM_1st_workshop_summary_v3

    between the sectors, (iv) recognize conflict interests up front. The next step which the group considered was: 3. Narrow down viable solutions. Here the group decided only to work on tasks related to the learning cycle part, and identified the following tasks: (1) scoping, (2) analyse gaps, (3) identify best solutions. The fourth step which the group identified was: 4. Scenario planning /media/vedurstofan/NONAM_1st_workshop_summary_v3.pdf

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