1 / 19

SAF=Satellite Application Facility Distributed MSG/Metop ground segment

Søren Andersen, Morten Lind Rasmus Tonboe, DMI Steinar Eastwood, Vibeke Thyness, Harald Schyberg, Lars-Anders Breivik, Øystein Godøy, Jørg Haarpainter met.no. SAF=Satellite Application Facility Distributed MSG/Metop ground segment Other SAFS: NWP, Nowcasting, Climate, Land

cricket
Download Presentation

SAF=Satellite Application Facility Distributed MSG/Metop ground segment

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Søren Andersen, Morten Lind Rasmus Tonboe, DMI Steinar Eastwood, Vibeke Thyness, Harald Schyberg, Lars-Anders Breivik, Øystein Godøy, Jørg Haarpainter met.no SAF=Satellite Application Facility • Distributed MSG/Metop ground segment • Other SAFS: NWP, Nowcasting, Climate, Land • To provide satellite derived products for use in the meteorological/oceanographic communities. http://saf.met.no SAF on Ocean and Sea Ice

  2. OSI SAF organisation • Consortium led by Meteo-France • High-latitude center led by met.no • 2 ice services • Backup / complementary production scheme • Shared responsibility for validation http://saf.met.no SAF on Ocean and Sea Ice

  3. General Objectives • Satellite derived Parameters describing the interface between atmosphere and ocean • 10 km resolution, covering Atlantic Ocean • Quantities to be calculated: • Ice concentration • Ice edge • Ice type • Radiative Fluxes • Sea Surface Temperature http://saf.met.no SAF on Ocean and Sea Ice

  4. Sea Ice Objectives Final products • Ice edge retrieved using SSM/I, scatterometer and AVHRR expressed as probability of ice infestation. • Dominant ice type using SSM/I, scatterometer and AVHRR expressed as probability of ice infestation with given type of ice. • Total sea ice concentration from SSM/I and possibly AVHRR. http://saf.met.no SAF on Ocean and Sea Ice

  5. Availability • Downloaded from the HL center homepage • Distributed via EUMETCAST • Pushed by internet or RMDCN. http://saf.met.no SAF on Ocean and Sea Ice

  6. Odden Jan-Feb 2004 http://saf.met.no SAF on Ocean and Sea Ice

  7. Validation • Objective validation is done routinely against DMI and met.no ice analyses based on AVHRR and/or SAR data • Summer conditions are problematic • East Greenland concentrations are consistently low http://saf.met.no SAF on Ocean and Sea Ice

  8. Ongoing development • Internal development • Global coverage (summer 2004)* • Quikscat/Seawinds (2004)* • Use of SSMIS sounding channels (2005) • Improved use of AVHRR (METOP/2007) • ASCAT (METOP/2007) • EU funded projects • IOMASA, improved ice conc. (2003-2006) • Mersea, ASAR global mode, AMSR (Apr. 2004) http://saf.met.no SAF on Ocean and Sea Ice

  9. Operational Methods Atmospheric correction of passive microwave obs. • Uses NWP model estimates of water vapour and wind http://saf.met.no SAF on Ocean and Sea Ice

  10. Global coverage 25 km resolution Northern and southern hemisphere products Atmospheric corrections from ECMWF global analysis/forecast http://saf.met.no SAF on Ocean and Sea Ice

  11. Multi sensor approach Bayesian approach for ice detection: Extended to combine several satellite observed parameters into an optimal ice class analysis Estimate ice class including measure of uncertainty http://saf.met.no SAF on Ocean and Sea Ice

  12. QuikScat • A priori statistics compiled from • colocation with DMI ice charts • Quantities used: • Polarization ratio • Mean horizontal backscatter • Mean vertical backscatter QuikScat SSM/I • Better determination of MY ice than SSM/I • More details in ice edge • Will be added to multi-sensor scheme in 2004 http://saf.met.no SAF on Ocean and Sea Ice

  13. Quikscat example Ice type 18 Febr – 4 March 2004 http://saf.met.no SAF on Ocean and Sea Ice

  14. Ice detection using AVHRR channel 3A (1.6 μm)Examples from April 2003 http://saf.met.no SAF on Ocean and Sea Ice

  15. RGB 1+2+4 A2/A1 A3/A1 T4-T5 Combinations of AVHRR channels http://saf.met.no SAF on Ocean and Sea Ice

  16. Training the system • Manually picking out areas where we are certain of the surface type. • Creating dataset based on these areas • Make sure that the dataset contains different types of ice & clouds, and different sun angles. Cloud Cloud Ice Ice Channel A3/A1 RGB (1+2+4) http://saf.met.no SAF on Ocean and Sea Ice

  17. Channel A3 / Channel A1 Cloud Sea Ice Channel A2 / Channel A1 Ice/Cloud/Sea separabilityResults for April 2003 http://saf.met.no SAF on Ocean and Sea Ice

  18. Further plans • Analyze one full year of AVHRR passages over North Atlantic / Arctic • Create PDF’s for the different surface signatures • Include new AVHRR method in O&SI-SAF ice cover product http://saf.met.no SAF on Ocean and Sea Ice

  19. Collaboration • Visiting scientist opportunities • Can be found on EUMETSAT web page • New projects can be proposed • A way to cooperate internationally • Previous visitors/visits: • University of Bremen (1-2), NIC (3), CIS (1), University of Dundee (1) • International Ice Charting Working Group • Cooperation agreements with NIC and CIS on validation • Scientific coordination http://saf.met.no SAF on Ocean and Sea Ice

More Related