Continuation and improvement of the NRT system for the remotely sensed data Task 1.1 Emanuele Böhm,...

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Continuation and improvement of the NRT Continuation and improvement of the NRT system for the remotely sensed data system for the remotely sensed data

Task 1.1

Emanuele Böhm, Roberto Sciarra & Rosalia SantoleriSatellite Oceanography Group (GOS)

Institute of Atmospheric Sciences and Climate (ISAC-Rome) Italian National Research Council (CNR)

ADRICOSM-EXTensionFinal meeting

20-21 November 2006 Roma

e.bohm@isac.cnr.it, r.sciarra@isac.cnr.it, r.santoleri@isac.cnr.it

Subtask 1.1.1 Sea Surface Temperature

http://gos.ifa.rm.cnr.it

• 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)

The GOS website and its contribution to Adricosm

The GOS website and its contribution to Adricosm

SeaWiFS Real Time Images

No more available since 23 December 2004

The GOS website and its contribution to Adricosm

Png Image Png Image

MODIS/Aqua Chlorophyll concentration MODIS/Aqua Flags

15 September 2005

Supplied as soon as are made available by NASA(Tipically

2, 3 days of delay)

NRT Production with meteorological ancillary data

The GOS website and its contribution to Adricosm 15 September 2005

Png Image Png Image

MODIS/Aqua Chlorophyll concentration AVHRR/NOAA17 SST

Real-Timeacquisition

RomeGround Station

The GOS website and its contribution to Adricosm

DATA Access for:

SST on AREG GridSeaWiFS on AREG Grid

RTNRT Offline production of

Optimal Interpolated SST

+

The GOS website and its contribution to Adricosm

Contribution to Adricosm and to Adricosm-EXT

SST daily products for the Adriatic Sea

SST data (AVHRR) on AREG model grid

gif images of SST at 1 km resolution

Ocean Color daily 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

01011001

01011001

ADRICOSM ADRICOSM-EXT

AVHRR on AREG GRID

Operational OI SST on AREG GRID

AVHRR png image at 1 km

MODIS png image at 1 km

Chlorophyll data (MODIS) on AREG GRID

Png image of MODIS Chlorophyll 1 km

Png image of MODIS Flags 1 km

Png image of MODIS Water Clarity K(490) 1 km

High Resolution SST data distribution

Historical SeaWiFS web images implementation

New

New

New

NE

W

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

The most efficient will be chosen

GOS/Adricosm web site Upgrade OR GOS/Adricosm Live Access Server

Time for Setting up the portal (and the FDS!) is critical

A possible solution : the GOS/Adricosm web upgrade

Diffuse Attenuation Coeeficient K(490) Sea Surface Temperature

MODIS K(490) MODIS SSTMODIS True Color

A possible solution : the GOS/Adricosm web upgrade

Modis Chlorophyll andFlags web images are Already on-line

Update of the historicalSeaWiFS web galleryimages

Addition of the new products in the web gallery

A possible solution : the GOS/Adricosm web upgrade

High ResolutionMODIS 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

A possible solution : the GOS/Adricosm web upgrade

The bow-tie panoramic

distorsion in MODIS

Before correction After correction

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)

+

Another possible solution: LAS

MODIS–Aqua: Near-Real-Time maps

AVHRR–NOAA 17/18: Near-Real-Time maps

The Adricosm-EXT LAS for Satellite data

MODIS-Aqua: Near-Real-Time mapsMaps of Chlorophyll “a” concentration

The Adricosm-EXT LAS for Satellite data

MODIS-Aqua: Near-Real-Time mapsMaps of Chlorophyll “a” concentration

43.6 N

17.8 E

42.8 N

15.9 E

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 alwaysAssuring the quality and the distribution of the products

required by the project