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  • Atmospheric Modeling & Weather Forecasting Group
    nutrients examined in light of ecological processes taking place in the open environment are expected to provide a new insight into the functioning and the health of the Mediterranean ecosystem These outputs will be included into modelling efforts that will help to evaluate natural and man induced effects and permit examination of their potential evolution under diverse scenarios Data sets model outputs and protocols will provide a sound landmark and

    Original URL path: http://forecast.uoa.gr/adios/impacts.html (2016-02-13)
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  • Atmospheric Modeling & Weather Forecasting Group
    soil temperature in the dust uptake scheme will be introduced Improvements in the dust deposition scheme will be performed especially over the sea Seasonal type simulations will be performed in order to estimate the deposition of Saharan dust over the Mediterranean waters In addition to the above regular weather and dust event forecasting will be performed during the experimental campaign periods which will be particularly useful for the work developed by other members of the consortium and particularly those involved in the Fast Response Experiments WP 3 The characteristic paths and time scales of the anthropogenic aerosols will be studied for the Mediterranean Region The dust atmospheric model together with an adapted RAMS code will be used in combination with a Lagrangian type dispersion model HYPACT and a photochemical model CAMx to study the patterns of transport of air pollution from Europe to the Mediterranean Region Heavy metal e g mercury transport and deposition processes will be treated separately for specific cases Model results will be intercompared with the routine and campaign type of observations WP 2 Receptor oriented type of modelling will be performed for specific periods of the field work particularly periods concerned by sampling cruises or dust events WP 2 and 3 in order to calculate areas of influence Inverse Lagrangian will be extremely helpful to determine where the air masses came from during the previous few hours or days allowing thus to identify possible sources or areas with specific emissions Task 1 3 Duration 36 months Specific Objectives Dust uptake transport deposition model will be coupled with a 3D oceanographic model to study dust dispersion and deposition within the marine environment Methodology The atmospheric model will be adapted to permit a coupling with a 3 D oceanographic model Princeton Oceanographic Model The coupling between the two

    Original URL path: http://forecast.uoa.gr/adios/tasks.html (2016-02-13)
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  • Atmospheric Modeling & Weather Forecasting Group
    Bouchta El Moumni S2 Subcontractor to ENS Faculte des Sciences Tunis Tunisia Short Name FST Tunis Corresponding Scientist Nouri Soussi S3 Subcontractor to ENS X Alexandria Egypt To de defined Short Name X Corresponding Scientist X Laboratoire des Sciences du Climat et de l Environnement LSCE Gif sur Yvette France Short Name CNRS LSCE Corresponding Scientist Helene Cachier http www lsce cea fr Laboratoire de Physique et Chimie Marine LPCM Villefranche sur Mer France Short Name CNRS 20 LPCM Corresponding Scientist Cecile Guieu http www obs vlfr fr S4 Subcontractor to LPCM Marine Environment Laboratory International Atomic Energy Agency Monaco Short Name IAEA MEL Corresponding Scientist Marina Coquery Laboratoire de Physique et Chimie Marines Universite Pierre et Marie Curie UPMC Paris France Short Name UPMC Corresponding Scientist Ioanna Bouloubassi University of Barcelona Departament d Estratigrafia i Paleaontologia Facultat de Geologia Barcelona Spain Short Name UB Corresponding Scientist Antonio Calafat WP 5 responsible http geomar geo ub es Universitat Autonoma de Barcelona Barcelona Spain Short Name UAB Corresponding Scientist JoanAlbert Sanchez Cabeza http cc uab es lra Istituto Talassografico di Trieste Trieste Italy Short Name CNR ITT Corresponding Scientist Giuseppe Civitarese http www itt ts cnr it Istituto di Fisica dell Atmosfera Roma Italy Short Name CNR IFA Corresponding Scientist Rosalia Santoleri http www ifsi rm cnr it ifa University of Ancona Local Research Units ULR of CoNISMa National Consortium for Marine Science Ancona Italy Short Name CoNISMa ULR Ancona Corresponding Scientist Roberto Danovaro http www conisma it index1 htm Istituto Nazionale di Oceanografia e di Geofisico Sperimentale OGS Trieste Italy Short Name OGS Corresponding Scientist Alessandro Crise http doga ogs trieste it National Centre for Marine Research Athens Greece Short Name NCMR Corresponding Scientist Christos Anagnostou http www ncmr ariadne t gr National and Kapodistrian University of Athens Athens Greece

    Original URL path: http://forecast.uoa.gr/adios/partners.html (2016-02-13)
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  • Atmospheric Modeling & Weather Forecasting Group [AFWM Forecast]
    Atmospheric Modeling Weather Forecasting Group AFWM Forecast

    Original URL path: http://forecast.uoa.gr/UAE/ (2016-02-13)
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  • MEDITERRANEAN ATMOSPHERIC MERCURY CYCLE SYSTEM
    Kapodistrian University of Athens School of Physics Division of Applied Physics Panepistimioupolis Bldg PHYS V Athens 15784 Greece http forecast uoa gr PARTNER No 03 Dr Josef M Pacyna leader of the NILU group Norwegian Institute for Air Research NILU P O Box 100 Instituttveien 18 N 2007 Kjeller Norway PARTNER No 04 Dr John Munthe leader of the IVL group Swedish Environmental Institute IVL P O Box 21060 Halsingegatan

    Original URL path: http://forecast.uoa.gr/mamcs/particip.htm (2016-02-13)
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  • Investigation of Clouds fromGround-based
    nad longwave radiative transfer The ECMWF 0 5 x0 5 gridded analysis fields are objectively analysed by RAMS model on isentropic surfaces from which they are interpolated to the RAMS grids and they were used in order to initialise the model The 6 hourly ECMWF analyses were linearly interpolated in time in order to nudge the lateral boundary region of the RAMS coarser grid at a nudging time scale of one hour Moreover the ECMWF analyses were blended with all available surface and upper air observations Almost 80 upper air soundings and more than 1200 surface observations have been used at 6 hour intervals Observed sea surface temperature data of 1 x1 resolution provided by ECMWF have been used Moreover topography derived from a 30 x30 terrain data and gridded vegetation type data of 10 x10 resolution have been used 4 Model results This section provides a short description of RAMS results during this event Figure 4a presents RAMS sea level pressure and lowest model level wind valid at 1600 UTC 6 December RAMS reproduces well the high pressure system over western Russia 1045 hPa as well as the weak easterly flow over Central Europe and especially northern Germany where the radar was operating The wind intensity was about 8 ms 1 over the area of interest while the flow is accelerated over the North Sea exceeding 16 ms 1 Figure 4 a Mean sea level pressure at 5 hPa intervals and wind field at the lowest model level on the outer grid of RAMS valid at 1600 UTC 6 December 1995 b as in a except for temperature at 2 C intervals Negative values are dashed RAMS temperature field at the lowest model level Fig 4b reproduces fairly well the negative temperature values characterizing the major portion of the domain with values of about 6 C in northern Germany and less than 8 C in central Germany Indeed temperature records at Hamburg denoted by H in Fig 4b and at Erfurt denoted by E at Fig 4b reported 5 8 C and 7 C respectively while the reported wind at Hamburg is from eastern direction with an intensity of 8 ms 1 at 1600 UTC in very good agreement with RAMS results see Fig 4a Figure 5 Vertical cross section inside the second grid of RAMS following line AB in Fig 3 valid at 1600 UTC 6 December 1995 of a ice mixing ratio g kg b pristince ice mixing ratio g kg A series of vertical cross sections inside the second grid of RAMS following line AB in Fig 3 permits to assess the vertical structure of condensates over the area of interest Figure 5a presents a vertical cross section of ice mixing ratio at 1600 UTC bounded vertically at 7 km Over the western part of the domain the whole atmospheric depth shown in Fig 5a is characterised by high concentrations of ice while on the eastern part of the domain a well defined layer of ice

    Original URL path: http://forecast.uoa.gr/carl/case1/first-campaign.htm (2016-02-13)
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  • Investigation of Clouds from Ground-based
    1999 b valid at 4 May 3 Model Setup For the present application RAMS was initialised at 0000 UTC 03 May 1999 The duration of the simulation was 48 hours The non hydrostatic version of the model was employed with three nested grids The computational domain of the model consists of a the outer grid with a mesh of 76x62 points and 40 km horizontal grid interval centred at 48 N latitude and 2 15 E longitude b the second grid with 122x110 points and 10 km horizontal grid interval centred at 48 44 N latitude and 2 15 E longitude over Palaiseau c the inner grid with 82x82 points and 2 5 km horizontal grid interval centred at 48 44 N latitude and 2 15 E longitude over Palaiseau The horizontal extension of the grids is shown in Fig 4 Twenty five vertical levels following the topography were used for the outer grid The vertical spacing varied from 120 m near the surface to 1000 m at the top of the model domain Vertical nesting was applied to the second and third grid permitting adequate resolution the cloud layer From 1300 to 10800 m 18 extra vertical levels were used with approximately 200 350 m vertical spacing Along with these settings other RAMS configuration options include Figure 4 Extension of the three nested grid of RAMS The lateral boundary conditions on the outer grid were the relaxation scheme similar to Davies 1976 A rigid lid was set at the model top boundary while top boundary nudging which dumps gravity waves was activated A soil layer was used to predict the sensible and latent heat fluxes at the soil atmosphere interface McCumber and Pielke 1981 Avissar and Mahrer 1988 Six soil levels were used down to 50 cm below the

    Original URL path: http://forecast.uoa.gr/carl/case2/second-campaign-1.htm (2016-02-13)
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  • Investigation of cloud by groud-based and airborne Radar and Lidar (CARL)
    first grid b the second and the third grid green color Synoptic setup The RAMS model was run by NKUA for the 3 and 4 May to reproduce the synoptic state over the model domains Figures 1 and 2 present temperature and wind fields obtained at 850hPa and 500 hPa respectively valid at 12 00 UTC 3 May These figures exhibit southeasterly flow over France at the lower tropospheric layers and southerly flow at the middle tropospheric layers Figures 3 and 4 present the same fields at the same pressure levels valid at 12 00 UTC 4 May RAMS reproduced fairly well the observed temperature and wind fields Figure 2 Wind field and temperature at 2 o C intervals at 850 hPa valid at 12 00 UTC 3 May 1999 Figure 3 As in figure 1 but at 500 hPa Figure 4 Wind field and temperature at 2 o C intervals at 850 hPa valid at 12 00 UTC 4 May 1999 Figure 5 As in figure 1 but at 500 hPa Model results In order to compare the model results with the observations a series of time height plots horizontal plots and latitudinal cross sections inside the inner grid of RAMS over Palaiseau latitude 48 o 43 longitude 2 o 15 have been prepared Time height plots of U component of wind V component of wind W component of wind turbulent kinetic energy equivalent potential temperature pressure vapor mixing ratio and temperature All the heights are above ground level AGL Figure 6 U wind m s Figure 7 V wind m s Figure 8 W wind m s Figure 9 Turbulent kinetic energy m 2 s 2 Figure 10 Equivalent potential temperature o Kelvin Figure 11 Wind speed m s Figure 12 vapor mixing ratio g kg Figure 13 Temperature o C Time height plots of microphysical parameters All heights are above ground level AGL Figure 14 Pristine ice concentration per volume l Figure 15 Pristine ice diameter microns Figure 16 Pristine ice mass per volume mg l Figure 17 Snow concentration per volume l Figure 18 Snow diameter mm Figure 19 Snow mass per volume mg l Figure 20 Aggregates concentration per volume l Figure 21 Aggregates diameter mm Figure 22 Aggregates mass per volume mg l Figure 23 Graupel concentration per volume m 3 Figure 24 Graupel diameter mm Figure 25 Graupel mass per volume micrograms l Figure 26 Hail concentration per volume m 3 Figure 26 Hail diameter mm Figure 27 Hail mass per volume micrograms l Figure 28 Rain droplets concentration per volume l Figure 29 Rain diameter mm Figure 30 Rain mass per volume mg l Figure 31 Cloud droplets mass per volume mg l Figure 32 Total ice mass per volume mg l Figure 33 Total liquid mass per volume mg l Plots from the GKSS W band Radar Figure 34 Reflectivity measurements from the GKSS radar Latitudinal cross sections of microphysical parameters In addition a series of latitudinal cross sections inside the

    Original URL path: http://forecast.uoa.gr/carl/senstest2/senstest2.htm (2016-02-13)
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