R. Santoleri, B.Buongiorno Nardelli, S. Colella,V. S. Marullo (ENEA)
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1 The Mediterranean Satellite Observing System R. Santoleri, B.Buongiorno Nardelli, S. Colella,V. Forneris, A.Pisano, C.Tronconi, G. Volpe, S. Marullo (ENEA) Istituto di Scienze dell Atmosfera e del Clima Roma r.santoleri@isac.cnr.it; Via del Fosso del Cavaliere, Roma
2 GMES Marine Core Service Objective: Develop an European service providing every day information on the physical and ecosystem state of the oceans and European regional seas MEDITERRANEAN SEA BLACK SEA The CNR Mediterranean Satellite System part of MyOcean System o o CNR leads MyOcean Ocean Colour Production Center. CNR is responsible of the OC Mediterranean and Black Sea Products o CNR is responsible for the SST Mediterranean and Black Sea products. CNR Satellite System is also part of National Operational Oceanography effort.
3 Satellite Workflow: Production & Dissemination Services Access Metadati Cataloghi Dati Discovery & Downloading Viewing: Static Images Interactive images NFS FTP HTTP/s SSH (SFTP) OpenDAP WMS Interfaces Formats HDF NetCDF JPG/PNG/GIF
4 The Mediterranean Satellite Products MODIS L3 L4 CHL_1-2 y SeaWiFS L3 ME ERIS L4 L3 Products Spatial Resolution Temporal Resolution Temporal OC Products Resolution MyOcean HR L3S CHL (MedOC3 algorithm) CHL (MedOC3 algorithm) Mediterranean Sea 1/16 Kd490 MyOcean UHR Kd490 L3S Mediterranean 1/100 Rrs (412,443,488,531,547,667,869 nm) Sea Senz Par MyOcean HR L3S 1/16 CHL_1-2 MyOcean UHR l2_flags L3S 1/100 CHL (MedOC3 algorithm) Five days MyOcean HR L3S CHL (MedOC3 algorithm) Weekly Mediterranean Sea 1/16 CHL (MedOC3 algorithm) Monthly MyOcean UHR Kd490 Five days L3S Mediterranean 1/100 Kd490 Weekly Sea CHL (MedOC4 algorithm) MyOcean HR L3S 1/16 Kd490 MyOcean UHR Rrs (412,443,490,510,555,670,865 nm) 1/100 senz L3S par HR REP 1/16 L2_flags HR REP 1/16 CHL (MedOC3 algorithm) Kd490 CHL (MedOC4me algorithm) Rrs (412,443,490,510,560,665, nm) Five days Five days The 20 SST HR REP will enter in L2_flags the MyOcean catalogue in V4 SST L3 L4
5 Satellite Mediterrean Products in the MyOcean catalogue OC Products Types: CHL: L3 (daily composite products) and L4 analysis (no data gaps) OPTICS: IOPs, Kd490, Secchi depth, Rrs, PAR, CDOM, SPM.
6 CNR SST operational system L2P code Sensor Platform Res. ATS_NR_2P AATSR ENVISAT/POLAR 1 km AVHRR_METOP_A AVHRR METOP_A /POLAR 1 km NAR18_SST AVHRR NOAA 18 /POLAR 2 km MODIS_T MODIS TERRA /POLAR 1 km NAR17_SST AVHRR NOAA 17 /POLAR 2 km MODIS_A MODIS AQUA /POLAR 1 km SEVIRI_SST SEVIRI MSG/GEOSTATIONARY 0.1 Output: Sea Surface Temperature (SST) supercollated (L3S) data SST Optimal interpolated (L4) data HR= 1/16 UHR= 1/100 OI PARAMETERS HR ( ) UHR (0.01 ) SPATIAL DECORRELATION SCALE 150 km 5 km TEMPORAL DECORRELATION SCALE 7 days 1 day NOISE TO SIGNAL RATIO FIRST GUESS FIELD HR pentad climatology upsized HR L4 SPATIAL INFLUENTIAL RADIUS km 20 km TEMPORAL WINDOW ±10 DAYS (NRT= 10) ±2 DAYS (NRT= 2) In situ drifter SSTs used for product operational data validation. Results on validation in the MyOcean QUIDs.
7 UHR
8 UHR
9 Impact of the New Data Merging New merging is able to remove many of the spurious structures that appeared in the HR SST fields as a consequence of inaccurate large scale bias corrections.
10 Validation against in situ data SST L3S MBE: 0.20 C (HR) 0, C (UHR) STDE=0. 48 C c) SST L4 MBE: 0.10 C (HR) C (UHR) STDE=0. 51 C Errors estimated through the comparison with in situ data were reduced with the V2 supercollating algorithm. CNR UHR L4 products were compared with the Global 1 km SST (G1SST) data, produced daily by the JPL ROMS (RegionalOcean Modeling System) group. STDE and MBE computed from G1SST data display higher values than MyOcean CNR products See Buongiorno Nardelli et al. RSE (2013)
11 CNR OC system: Objectives Mediterranean OC system is one of OCTAC component. The main objectives are: to produce and disseminate biophysical (including optical) and biogeochemical state variables for all related user communities and applications To improve the Mediterranean Ocean colour products, where quality of global lproducts is typically lower. To ensure high quality ocean colour core products and provide information their quality OC products are based on data from all available OC sensors NRT data are presently based on MODIS Acqua New data sources are crucial for the maintenance of the OC data provision > MODIS Terra & VIIRS > preparation to S3 OLCI
12 OCTAC: System Overview OC-ACRI-PU: operating GLO, BAL and L4 Atlantic production chains OC CNR PU operating OC-CNR-PU: ti the th MED and d BS production d ti chains h i OC-PML-PU: operating the Atlantic and ARC L3 production chains OC-CNR-DU: operating the OCTAC archiving, delivery system and service desk interfaced with MyOcean central system
13 OC Mediterranean Regional products uncertenty estimates SENSOR r 2 RMS bias N MODIS MERIS CNR in situ dataset: 21 cruises TOTAL Number of Chl Profiles: 2326 Period covered: SeaWiFS Overall good agreement between satellite and in situ CHL. MERIS & MODIS : slide underestimate of in situ Chl values MERIS is better then MODIS SeaWiFS provides the best results.
14 L4 Mediterranean chlorohyll analysis: EOFmethod Already operational
15 OCTAC Online Validation Current day data temporal consistency in two successive steps: 1. Checking, on a pixel by pixel p basis, whether the difference between the current day observation and that of the previous day fall within or outside four climatological STD. These pixels fall in the statistics named "IN/OUT PrevDay". 2. In case previous day data do not cover all of the current day pixels, the difference between these current day pixels and the corresponding current day SeaWiFS climatology is computed and compared against four climatological STD. These pixels fall in the statistics named "IN/OUT Clima. Example of the online validation analysis over the Mediterranean MODIS Aqua CHL image (13 th of December 2011) MyOcean2 First Annual Meeting April 2013
16 OCTAC Online Validation Online validation statistics time series for the period, for MODIS Aqua L3 CHL MedOC3 product over MED & BS. Volpe et al.: The Mediterranean Ocean Colour Observing System system development and product validation. Ocean Sci., 8, , 2012 MyOcean2 First Annual Meeting April 2013
17 Evaluation of MODIS TERRA: Mediterranean Sea TERRA data were processed using the OCTAC processing chains. Check of the resulting product quality applying OCTAC methodology and reference dataset CNR in situ dataset: 21 cruises TOTAL Number of Chl Profiles: 2326 Period covered: In situ Bio optical data are acquired annual cruises for CAL/VAL. SENSOR r 2 RMS bias RPD [%] APD [%] N MODISTerra data quality MODISA are absolutely comparable MERIS to those of MODIS Aqua. SeaWiFS MODIST Terra are already operationally processed at CNR to produce OC products for Italian Seas
![allows to define the Mediterranean regional algorithm Prod R 2 RMS [mg m -3 ]](/docs-images/74/70699757/images/18-7.jpg "BIAS [mg m-3] RPD (%) APD (%) N OC3 0.708 0.254-0.185-66 68 37 MedOC3 0.704 0.")
18 VIIRS: Mediterranean Regional Algorithm development In situ Bio optical measurements: In situ 187 chl/opt measurements acquired in the 22 CNR cruises allows to define the Mediterranean regional algorithm Prod R 2 RMS [mg m -3 ] BIAS [mg m-3] RPD (%) APD (%) N OC MedOC
19 CNR ISAC - GOS Web Portal
20 Εισαγωγή Phytoplankton Size Classe (PCS) from space Pico: micro Nano: 2 20 micro Micro > 20 micro First version of Mediterranean PSC dataset has been produced and is avalable from CNR
21 PP during 2005 CHL and PP trends for Mediterranean Basin
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