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  • 41. Dataseries and components

    Analysed components - IMO's research: Sulphur and salinity measurements: Precipitation: SO4-S, NO3-N, Cl, Na, Mg, K, Ca (mg/l) Precipitation: conductivity (µS/cm), quantity (mm), pH Aerosol: SO4-S, Cl, Na, Mg, K, Ca, Fe (µg/m3) Air: SO2-S (µg/m3) Heavy metals in precipitation: Pb, Cd, Cu, Zn, Cr, Ni, Fe, Mn, V, As, Al (ng/ml) Cl, NO3-N, SO4-S, Na, K, Ca, Mg, NH4-N, Br, F (µg/ml) conductivity (µS/cm /pollution-and-radiation/pollution/components/
  • 42. Kjellstrom_Erik_CES_2010

    v An example of spread between individual simulations • Winter (DJF) changes in T2m in the three recommended CES simulations DMI−HIRHAM5−ECHAM5−r3 METNO−HIRHAM−HadCM3Q0 SMHIRCA−BCM Ensemble mean change (2021-2050 vs 1961-1990) in precipitation ANN DJF JJA M E A N S t d D e v An example of spread between individual simulations • Summer (JJA) changes in precipitaiton in four simulations /media/ces/Kjellstrom_Erik_CES_2010.pdf
  • 43. CASE_B__Heikki_Tuomenvirta_(FMI)_Introduction

    will review a set of stakeholder involvement and decision making issues with the above outline as backdrop. References: [1] Marttila, V., Granholm, H., Laanikari, J., Yrjölä, T., Aalto, A., Heikinheimo, P., Honkatukia, J., Järvinen, H., Liski, J., Merivirta, R. & Paunio, M. 2005. Finland’s National Strategy for Adaptation to Climate Change. MMM Publication 1a/2005. 276 pp. [2] Kokkarianen, V /media/loftslag/CASE_B__Heikki_Tuomenvirta_(FMI)_Introduction.pdf
  • 44. Journal_of_Hydrology_Veijalainen_etal

    ; fax: +358 20 490 2590. E-mail address: Noora.Veijalainen@ymparisto.fi (N. Veijalainen). Journal of Hydrology 391 (2010) 333–350 Contents lists available at ScienceDirect Journal of Hydrology journal homepage: www.elsevier .com/ locate / jhydrol Author's personal copy narios from GCMs or RCMs, and with different emission scenarios (e.g. Menzel et al., 2006; Minville et al., 2008; Prudhomme and Da /media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf
  • 45. vanRoosmalen_etal-2009-WRR_2007WR006760

    with 20% and 2% for the HIRHAM experiments using HadAM3H and with 30% and 7% for the ECHAM- driven experiments for Middle Europe and Scandinavia, respectively. [18] RCM output is not available for the entire period 1961–2100 because transient RCM simulations are com- putationally very demanding. Instead two 30-year time slices are available; one representative for the climate in the period 1961–1990 /media/loftslag/vanRoosmalen_etal-2009-WRR_2007WR006760.pdf
  • 46. VI_2017_009

    In Chapter 3 we focus on the following monthly averages: Near-surface 2 meter temperature (TAS), total precipitation (TP), and sea ice cover (SI). In Chapter 4 we add surface air pressure (PSL) and snow cover thickness (SNCT). The following daily fields will be studied as well: Near-surface wind speeds, (U and V sfcWind), maximum near-surface 2 meter temperature (TASMAX), minimum mean-surface 2 meter /media/vedurstofan-utgafa-2017/VI_2017_009.pdf
  • 47. VI_2009_012

    Distance corrected PGV. ......................... 14  Figure 3. Corrected magnitudes, Mw(v) plotted against log distance.. .................................. 17  Figure 4. Magnitude estimates as a function of Ci. ................................................................ 18  Figure 5. Observed/predicted PGV residuals for each station. .............................................. 20  Figure 6 /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_012.pdf
  • 48. aerodrome_summaries_20140603

    14 0 1 2 3 8 12 15 0 1 2 3 8 12 16 0 1 2 4 8 12 17 0 1 2 4 8 12 18 0 1 2 4 8 12 19 0 1 2 4 8 13 20 0 1 2 4 8 13 21 0 2 3 5 9 13 22 1 2 3 5 9 13 23 1 2 3 4 9 13 MEAN 1 2 2 4 8 13 10 AE R OD R OM E CLIM A T OLOGICA L SUMMA R Y - T ABL E D AE R OD R OME :BIK F - KEFL A VÍ K /K efl avi k PERIO D O F RECORD :2001–201 0 L A TITUDE :6 3 59’06" N LONGITUDE :2 2 36’20" W ELE V A TIO N AB O V E MSL :5 2 /media/vedur/aerodrome_summaries_20140603.pdf
  • 49. Keranen_Jaana_CES_2010

    tunnisteväriSeuraukset Scenario probability high ACT MONITOR Consequence probabi lity low after control methods PREPARE PREPARE Scenario probability low Consequence probabili ty high after control methods Likely Very unl ikely Very likely Virtuall y certain Unlikely V e r y l i k e l y L i k e l y V e r y u n l i k e l y Excepti onally unlikely = major consequences = moder ate consequences = minor /media/ces/Keranen_Jaana_CES_2010.pdf
  • 50. Outline_for_the_case_Road_maintenance_in_a_changing_climate

    course – Adaptive management in relation to climate change – Copenhagen 21-26/8/2011 …………………………………………………………………………………………………………………………………………………………………… 6 Figure 1. Flow chart summarizing information and decision flows of an adaptive management inspired adaptation planning cycle for road transport (at national strategic / tactical level) M a n d a t e f r o m g o v e r n m e n t + p r /media/loftslag/Outline_for_the_case_Road_maintenance_in_a_changing_climate.pdf

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