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96 results were found for Suchmaschinen in China 🔍 www.41.gs.


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  • 1. Staff members

    Email: gs (hjá) vedur.is Division: Infrastructure Divsion Hydrological observation networks. Search Search /about-imo/employees/persona/126/fyrirtaeki/2
  • 2. Mid-Latitudes-Agenda1_nov2013EH

    of Sciences China Vavrus, Steve University of Wisconsin USA Walsh, John International Arctic Research Center, University of Alaska USA Agenda Wheeler, Dennis University of Sunderland UK Woods, Cian Department of Meteorology, Stockholm University Sweden Woollings, Tim University of Reading UK Þorsteinsson, Sigurður Icelandic Met Office Iceland /media/loftslag/Mid-Latitudes-Agenda1_nov2013EH.pdf
  • 3. Group-1_Scenarios-for-AWM

    for some special cases, e.g. China, a strong government with weak public participators. P a rt i cip a tio n Anal y s e Pl a n I m pleme n t E v a lu a t e S t a r t Adopt pla n GoalStart Implementing policies Management activities AWM I W M Learning Learning Figure 2. Comparison of integrated water management (IWM) and AWM References IPCC (2007). WGII: Impacts, Adaptation /media/loftslag/Group-1_Scenarios-for-AWM.pdf
  • 4. VI_2014_001

    frequency distributions for Re- gion 1 derived with index flood model no. 6: bµ(D) = a(AP=Z)b ............................ 39 5 Appendix VI - Empirical and modeled daily flood frequency distributions for Region 2 derived with index flood model no. 3: bµ(D) = a(APm)b ......................... 41 Appendix VII - Instantaneous Index flood models for Region 1. .......................... 43 Appendix VIII /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_001.pdf
  • 5. VI_2015_007

    and validation periods ....................................................................... 35 Appendix III - Instantaneous index flood µi(D = 0), flood frequency distribution and growth curves, derived by QDF modelling of WaSiM daily flow simulations ... 41 Appendix IV - Estimated flood frequency distributions at target sites treated as ungauged, using the best IFM for each set /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_007.pdf
  • 6. Eyjafjallajokull_status_2010-04-28_IES_IMO

    Eruption in Eyjafjallajökull Status Report: 19:00 GMT, 28 April 2010 Icelandic Meteorological Office and Institute of Earth Sciences, University of Iceland Compiled by: MJR / SSJ / MTG / FS / SRG / GS / KH Based on: IMO seismic monitoring; IES-IMO GPS monitoring; IMO river gauges; web cameras of the eruption site from Vodafone, Mila, and Múlakot; IMO weather radar measurements; information /media/jar/Eyjafjallajokull_status_2010-04-28_IES_IMO.pdf
  • 7. Eyjafjallajokull_status_2010-04-29_IES_IMO

    Eruption in Eyjafjallajökull Status Report: 18:00 GMT, 29 April 2010 Icelandic Meteorological Office and Institute of Earth Sciences, University of Iceland Compiled by: MJR / HB / MTG / SSJ / GS / BO Based on: IMO seismic monitoring; IES-IMO GPS monitoring; IMO river gauges; web cameras of the eruption site from Vodafone, Mila, and Múlakot; IMO weather radar measurements; information /media/jar/Eyjafjallajokull_status_2010-04-29_IES_IMO.pdf
  • 8. Eyjafjallajokull_status_2010-04-30_IES_IMO

    Eruption in Eyjafjallajökull Status Report: 17:00 GMT, 30 April 2010 Icelandic Meteorological Office and Institute of Earth Sciences, University of Iceland Compiled by: MJR / MTG / FS / GS / SSJ Based on: IMO seismic monitoring; IES-IMO GPS monitoring; IMO hydrological data; web cameras of the eruption site from Vodafone, Mila, and Múlakot; IMO weather radar measurements; information from /media/jar/Eyjafjallajokull_status_2010-04-30_IES_IMO.pdf
  • 9. VI_2020_005

    analysis in Denmark . . . . . . . . . . . . . . . . . . . . . . 41 3.2 Coastal flooding risk analysis in Norway . . . . . . . . . . . . . . . . . . . . . . . 44 3.3 Coastal flooding risk analysis in Sweden . . . . . . . . . . . . . . . . . . . . . . . 46 3.4 Coastal flooding risk analysis in the UK . . . . . . . . . . . . . . . . . . . . . . . 50 3.4.1 Coastal flooding risk analysis in England /media/vedurstofan-utgafa-2020/VI_2020_005.pdf
  • 10. programme2---PhD-Workshop-preceding-Adaptation-Research-Conference

    Province of China, the study undertakes to explore how households would respond to future climate risks. The research’s innovation lies in its attempts to contribute to the recent literature gap by digging into the motivations of households to take proactive measures against probable future climate risks and their preferences for different livelihood activities against possible future changes /media/loftslag/programme2---PhD-Workshop-preceding-Adaptation-Research-Conference.pdf

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