Services & Case Scenes

  • Instant and Mean Value of O3. Real-time data every 30 minutes

    Instant 1-min values (red line) and 30-min averages (blue line) of O3 and CO, at Methoni station (South Peloponnese, Greece). Data and plots are updated every 30 minutes.

    Researcher responsible for data collection and visualization: Dr. Psiloglou Vassilis (NOA/IERSD), bill@noa.gr

    For more please visit: http://www.meteo.noa.gr/WeatherOnLine/s_MethPoll/meteo_tableEN.html

  • Temporary unavailable
    For the latest forecasts please look here:
    http://pre-tect.space.noa.gr/dashboard/

    Vertically integrated dustload (in g/m2) and wind vectors at 2km.

     

     

    Time-height forecasting plots of dust concentration over the stations of Finokalia (University of Crete), Skinakas (University of Crete & FORTH), Helmos and Kryoneri (NOA).

     

    Forecasts provided from the ACC-pilot Dust Service during PRE-TECT campaign (http://pre-tect.space.noa.gr/)

    PI: Stavros Solomos (stavros@noa.gr), Slobodan Nickovic (nickovic@gmail.com)

  • fig1

    Fig.1: Multi-model simulated time series at Thessaloniki (Greece) from 1950 to 2100 for change in mean annual near surface temperature relative to the historical period 1950–2004 based on high resolution regional climate data (0.11°) acquired from the Coordinated Regional Downscaling Experiment (CORDEX) research program (www.cordex.org). Time series of projections are shown for scenarios RCP2.6 (yellow), RCP4.5 (red) and RCP8.5 (purple) as well as for the historical period (black). The respective bold lines indicate ensemble yearly means and best fit using the local polynomial regression fitting functions (loess) from the yearly ensemble mean data.

    fig2

    Fig.2: Multi-model simulated time series at Limassol (Cyprus) from 1950 to 2100 for change in mean annual near surface temperature relative to the historical period 1950–2004 based on high resolution regional climate data (0.11°) acquired from the Coordinated Regional Downscaling Experiment (CORDEX) research program (www.cordex.org). Time series of projections are shown for scenarios RCP2.6 (yellow), RCP4.5 (red) and RCP8.5 (purple) as well as for the historical period (black). The respective bold lines indicate ensemble yearly means and best fit using the local polynomial regression fitting functions (loess) from the yearly ensemble mean data.

     

    Please follow the link to the ACC pilot’s web application tool for regional climate change projections.

    Contact person: Dr. Prodromos Zanis