57 results were found for pt���������������-������������������������������-���������������������������-mg���������������������������������-������������������������������-pt���������������-pt���������������-AG���������������app������������������-(������������������).


  • 41. VI_2020_011_en

  • 42. VI_2016_006_rs

    Such landslides fall from a comparatively high elevation, cause extensive disruption and upheaval of loose materials and soils in their way, and can travel considerable distances uphill against opposing slopes. Secondly, there are medium-sized or large, rapid debris flows that are released from com- paratively high elevations and are confined to gullies as they travel down the mountain- side, similar /media/vedurstofan-utgafa-2016/VI_2016_006_rs.pdf
  • 43. VI_2019_009

    To distinguish between rain and snow, the volume is com- pared to the water equivalent but the volume of snow is ten times larger. Figure 1. How PWD22 determines the type of precipitation. Using the information about the changes of the backscatter signal, water equivalent and temper- ature the Vaisala Present Weather Detector can give information about the type of precipitation. It is also used /media/vedurstofan-utgafa-2019/VI_2019_009.pdf
  • 44. VI_2020_004

  • 45. Grimsvotn_status_2011-05-23_IES_IMO

    in the northwest. A sample from Kirkjubæjarklaustur has been analyzed, which was taken around 1h on 22 May. The grains are glassy with micro crystals of plagioclase. Samples well sorted. Whole rock analysis: Basalt, with 50-51 Wt% SiO2 Leachate results: 5-10 mg/kg of waterdissolvable flour Grain size distribution: about 10 /media/jar/Grimsvotn_status_2011-05-23_IES_IMO.pdf
  • 46. QA on the eruption in Eyjafjallajökull 2010

    health, for example the respiratory system. The fluorine content is approximately 850 mg/kg according to chemical analysis carried out by the Institute of Earth Sciences, University of Iceland, on a sample taken 19 April. An earlier sample since 14 April only measured 25-35 mg/kg of fluorine because the water vapour from melting ice rinsed the ash. When the eruption progressed, water became less /earthquakes-and-volcanism/articles/nr/1880
  • 47. VI_2013_008

    systematically underestimated. The bias is not as pronounced for the non glacial rivers. Com- bining synoptic-scale and basin-scale predictors (method 3) leads to a substantial improvement compared to the use of MSLP fields alone (method 1). Analogue forecasts become similar or better than persistence, depending on catchment and lead time. Usually, persistence performs better for T=1 day and then method 3 /media/vedurstofan/utgafa/skyrslur/2013/VI_2013_008.pdf
  • 48. VI_2014_006

    the com- plexity of the hydrological processes through modelling, but its application is usually limited to the short-range. Although the results demonstrated a great potential for this method, its success- ful application in real-time will strongly depend on the quality and availability of streamflow observations, which can be poor or simply missing during periods of variable durations, e.g /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_006.pdf
  • 49. Risk Assessments

    riskianalyysit - ilmaston muutoksen synnyttämät riskit ja mahdollisuudet. 12.03.2009, Research Report VTT-R-01942-09, Tampere. 13 p. + app. 24 p. Linnerud, Kristin (2009) Test and evaluation of a climate risk assessment procedure. Case study: The Norwegian hydro power company SFE. CICERO, University of Oslo. Report 2009:3. Feb.2009. 44 p. ISSN:0804-4562. Linnerud, Kristin (2009) Climate change /ces/publications/nr/1941
  • 50. CASE_B__Heikki_Tuomenvirta_(FMI)_Introduction

    of climate change on the routine and periodic maintenance of roads. Helsinki 2009. Finnish Road Administration, Central Administration. Finnra reports 8/2009, 66 p. + app. 8 p. ISSN 1459-1553, ISBN 978-952-221-172-9, TIEH 3201122-v. (in Finnish, abstract in English) [5] Salanne, i., Byring, B., Valli, R., Tikkanen, R., Peltonen, P., Haapala, J., Jylhä, K., Tolonen-Kivimäki, O., and Tuomenvirta, H /media/loftslag/CASE_B__Heikki_Tuomenvirta_(FMI)_Introduction.pdf

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