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Advancing NRT System for Remotely Sensed Data - Enhancements for Oceanographic Studies

Explore the upgrade possibilities for the GOS/Adricosm website to enhance data distribution efficiency and quality for oceanographic studies. Consider time, costs, and user requirements for optimal solution selection. Focus on SST, chlorophyll, and ocean color products.

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Advancing NRT System for Remotely Sensed Data - Enhancements for Oceanographic Studies

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  1. Task 1.1 Continuation and improvement of the NRT system for the remotely sensed data Emanuele Böhm, Roberto Sciarra & Rosalia SantoleriSatellite Oceanography Group (GOS) Institute of Atmospheric Sciences and Climate (ISAC-Rome) Italian National Research Council (CNR) ADRICOSM-EXTension Final meeting 20-21 November 2006 Roma e.bohm@isac.cnr.it, r.sciarra@isac.cnr.it, r.santoleri@isac.cnr.it

  2. Subtask 1.1.1 Sea Surface Temperature • Reprocess Adricosm color data (1.1.2) • Reprocess SST for atmospheric studies (1.1.3) • New OC-derived parameters (1.1.2) • Scatterometer data for meteo sensitivity (1.1.3) • Training (1.1.1, 1.1.2) http://gos.ifa.rm.cnr.it

  3. The GOS website and its contribution to Adricosm

  4. SeaWiFS Real Time Images No more available since 23 December 2004 The GOS website and its contribution to Adricosm

  5. The GOS website and its contribution to Adricosm 15 September 2005 MODIS/Aqua Chlorophyll concentration MODIS/Aqua Flags NRT Production with meteorological ancillary data Supplied as soon as are made available by NASA (Tipically 2, 3 days of delay) Png Image Png Image

  6. The GOS website and its contribution to Adricosm 15 September 2005 MODIS/Aqua Chlorophyll concentration AVHRR/NOAA17 SST Real-Time acquisition Rome Ground Station Png Image Png Image

  7. The GOS website and its contribution to Adricosm DATA Access for: SST on AREG Grid SeaWiFS on AREG Grid RT NRT + Offline production of Optimal Interpolated SST

  8. The GOS website and its contribution to Adricosm

  9. ADRICOSM-EXT AVHRR on AREG GRID 0101 1001 0101 1001 New Operational OI SST on AREG GRID AVHRR png image at 1 km New MODIS png image at 1 km New High Resolution SST data distribution Chlorophyll data (MODIS) on AREG GRID Png image of MODIS Chlorophyll 1 km NEW Png image of MODIS Flags 1 km Png image of MODIS Water Clarity K(490) 1 km Historical SeaWiFS web images implementation Contribution to Adricosm and to Adricosm-EXT ADRICOSM • SSTdaily products for the Adriatic Sea • SST data (AVHRR) on AREG model grid • gif images of SST at 1 km resolution • Ocean Colordaily products for the Adriatic Sea • Chlorophyll data (SeaWiFS) on AREG model grid • gif images of SeaWiFS chlorophyll at 1 km resolution • gif images of SeaWiFS case I / case II / clouds masks

  10. The Adricosm-EXT Satellite portal New Products New Datasets Need of a complete reorganization of the data set and of the Fast Delivery System (FDS) Different Possible solutions GOS/Adricosm Live Access Server GOS/Adricosm web site Upgrade OR The most efficient will be chosen Time for Setting up the portal (and the FDS!) is critical

  11. A possible solution : the GOS/Adricosm web upgrade Sea Surface Temperature Diffuse Attenuation Coeeficient K(490)

  12. A possible solution : the GOS/Adricosm web upgrade Modis Chlorophyll and Flags web images are Already on-line Update of the historical SeaWiFS web gallery images Addition of the new products in the web gallery MODIS K(490) MODIS SST MODIS True Color

  13. A possible solution : the GOS/Adricosm web upgrade High Resolution MODIS True Color 250 m Data Collection Quality control Resampling Merging Map Projection From 1 to 2.8 GB disk space per day 2 to 5.6 GB per day Aqua+Terra 60 to 168 GB per month

  14. A possible solution : the GOS/Adricosm web upgrade The bow-tie panoramic distorsion in MODIS After correction Before correction

  15. A possible solution : the GOS/Adricosm web upgrade DATA Access with password for: Historical SeaWiFS on AREG grid + Data access without password for: Modis Chlorophyll on AREG grid Optimal Interpolated SST(AREG)

  16. Another possible solution: LAS MODIS–Aqua: Near-Real-Time maps AVHRR–NOAA 17/18: Near-Real-Time maps

  17. The Adricosm-EXT LAS for Satellite data MODIS-Aqua: Near-Real-Time maps Maps of Chlorophyll “a” concentration

  18. 43.6 N 15.9 E 17.8 E 42.8 N The Adricosm-EXT LAS for Satellite data MODIS-Aqua: Near-Real-Time maps Maps of Chlorophyll “a” concentration

  19. Conclusions The most efficient solution will be chosen considering time, costs and user requirements Whatever will be the solution chosen for the data distribution, a complete reorganization of the FDS architecture is needed. We will consider other possible solutions that could differ from those already shown or that could be a combination of those shown always Assuring the quality and the distribution of the products required by the project

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