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Contribution of Medspiration/GHRSST products to Mediterranean applications of SST. Rosalia Santoleri (1). Bruno Buongiorno Nardelli (1) Nadia Pinardi (2). CNR - Istituto di Scienze dell’Atmosfera e del Clima – sezione di Roma Istituto Nazionale di Geofisica e Vulcanologia.
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Contribution of Medspiration/GHRSST products to Mediterranean applications of SST Rosalia Santoleri (1) Bruno Buongiorno Nardelli (1)Nadia Pinardi (2) • CNR - Istituto di Scienze dell’Atmosfera e del Clima – sezione di Roma • Istituto Nazionale di Geofisica e Vulcanologia r.santoleri@isac.cnr.it;
Outline • Mediterranean SST processing chain at GOS & its products • Use of SST in the MFS Mediterranean ocean forecasting system • Dissemination to users • Future Plans
MED-SST Products:GOS involvement in national and international projects/programmes Mediterranean Forecasting System Adricosm Medspiration Mersea PRIMI GODAE Global High Resolution SST Pilot Project (GHRSST-PP)
CNR-ISAC-GOS SST processing chain (operative since October 1998) has been designed to provide SST data for assimilation in the MFS forecasting model. MFS_SST are daily optimally Interpolated Sea Surface Temperature (OISST) maps produced in near real time at 5 Km resolution (1/16°x1/16° MFS model grid) The same OI scheme has also been used to perform a Re-Analysis (RAv0) of AVHRR Pathfinder SST time series, from 1985 to 2005 by CNR-GOS in collaboration with ENEA. This product has also been used to build up a Med SST climatology Since July 2006, In the framework of MERSEA, CNR-ISAC also produces multi-sensors OISST maps merging a variety of sensors (AVHRR, MODIS, SEVERI, AATSR) as contribution to the GODAE/GHRSST-PP http://gos.ifa.rm.cnr.it/
The Mediterranean GOS L4 SST processorf l o w c h a r t MF AVHRR acquisition Atlantic buffer zone + west Med ISAC AVHRR acquisition Entire Mediterranean Night-time SST using MF algorithm Cloud detection Night-time SST using Pathfinder algorithm Cloud detection SST daily composite binning on model grid (1/16x1/16) SST daily composite binning on model grid (1/16x1/16) Data merging ISAC L2P GHRSST Products Data quality controll Optimal Interpolation Data delivery
CNR-ISAC administrator GHRSST GDAC L2P data M1: L2P data acquisition M2: SST Extraction/Editing CNR-ISAC AVHRR L2 data M3: SST data merging M4: SST OI interpolation M5: OUTPUT delivery MFS SST users GOS SST Multi-senosorsProcessing Chain: LOGICAL VIEW
Input Data • EXT.DAT.001: all theL2P night time data available from GHRSST: • ATS_NR_2P, ENVISAT AATSR near real time SSTskin data • AVHRR18_G, AVHRR NOAA-18 GAC derived SST data • AVHRR18_L, AVHRR NOAA-18 LAC derived SST data • AVHRR17_G, AVHRR NOAA-17 GAC derived SST data • AVHRR17_L, AVHRR NOAA-17 LAC derived SST data • NAR18, AVHRR NOAA-18 derived SST data • NAR17, AVHRR NOAA-17 derived SST data • SEVIRI, MSG-SEVIRI derived SST data • MODIS_A, EOS AQUA MODIS derived SST data • MODIS_T, EOS TERRA MODIS derived SST data • EXT.DAT.002: AVHRRL2 SST from NOAA18 NOAA17 acquired and processed by CNR-ISAC Rome HRPT station
Data Merging Reference sensor ”merged files” • Interpolation uses in input ‘merged’ files (1 SST map per day) • The reference sensor (assumed with zero bias against in situ SST) is used for the adjustment of the SST values measured by the other sensors. The reference sensors were selected on the basis of sensors evaluation, they are: ATS_NR_2P NAR17 (MODIS_T, 4 micron) • Evaluation of the bias between reference sensor and the other sensors is performed on collated pixels on a daily basis (only if sufficient co-located pixels are found) • Merging procedure selects valid pixels using first high resolution L2P data the sensor sequence listed below: ATS_NR_2P , NAR17, MODIS_T, NAR18 , MODIS_A, AVHRR17_L, AVHRR18_L, SEVIRI, AVHRR18_G, AVHRR17_G
MODIS Terra (11micron) MBE=-0.21 °C Rms=0.38 °C MODIS Aqua (11 micron) MBE=-0.34 °C Rms=0.55 °C SEVIRI MBE=-0.07 °C Rms=0.51 °C MODIS Terra (4 micron) MBE=-0.04 °C Rms=0.33 °C MODIS Aqua (4 micron) MBE=-0.16 °C Rms=0.54 °C NAR17 MBE=-0.002 °C Rms=0.49 °C Sensors Evaluation
SST INTERPOLATION by Optimal Interpolation L =180 km τ =7 days Medspiration results: The Interpolation is performed in space and time, using a time series of daily SST maps: (1 SST map per day) The scheme drives a ‘multi-basin’ analysis to avoid data propagation across land, from one sub-basin to the other. NRT OISST map is produced every day at 6 am. Delayed OISST map is produced every day after 7 days The outputs are follows GHRSST convetion (netCDF, Climate and Forecast (CF) Metadata convention versione 1.0)
CNR-ISAC-GOS L4_processors configuration MFS (AVHRR in input) MFS (L2P in input) MBE=-0.26 °C Rms=0.52 °C MBE=-0.11 °C Rms=0.52°C MBE=-0.08 °C Rms=0.46 °C
The warm summer 2006 The 2006 SST anomaly was monitored in near real time by the GOS SST Processing system daily SST anomaly respect to the 1985-2004 climatology Time series of SST mean in the West Med
MFS Monitoring System: • Multiparametric buoys (M3A) in Ligurian, Adriatic and • Cretan Sea • XBT VOS/SOOP • ARGO FLOAT (MedArgo) • Daily SST from satellite interpolated in RT on • the model grid (1/16°x1/16°) • SLA from satellite (Jason1, GFO, ENVISAT and T/P) • Open ocean monitoring by gliders • Scatterometer daily winds analysis on a grid of • 1/2°x1/2° (soon a new real time analysis ready)
MFS1671 BATHYMETRY (m) Basin scale forecasting system: • NUMERICAL MODEL: • Horizontal resolution 1/16°x1/16° • Vertical resolution 72 unevenly spaced • levels • Numerical code: OPA 8.2 • Close boundaries in the Atlantic ocean • Free surface parameterization • Asyncrhronously coupled with ECWF • analyses or forecasts atmospheric fields • DATA ASSIMILATION SCHEME: • SOFA: reduced order Optimal Interpolation scheme • Intermittent (24hr) assimilation of: • Satellite SLA • Vertical profiles (T & S) • Satellite SST
ECMWF FC ECMWF AN Wed Wed Thu Fri Sat Sun Mon Tue Thu Fri Wed Thu Fri Wed J SLA J-7 J-5 J-4 J-3 J-2 J-1 J+1 J+2 J+7 J+8 J+9 J-14 FORECAST RELEASE XBT SST ARGO Data are disseminated througha Web/ftp service (www.bo.ingv.it/mfstep) The present day MFS (SYS3) weekly assimilation system
Air-Sea physics SST assimilation Atmospheric Forcing Air-sea Physics and SST assimilation • surface solar radiation computed from astronomical formulas - Reed (1977) • net longwave flux formula - Bignami (1995) • sensible and latent heat flux- Kondo (1975) • wind stress calculated from Hellerman and Rosensenstein formula • Water flux: relaxation to monthly mean climatology from MedAtlas • 6 hours analyses and forecast surface state variables from ECMWF 0.5 x 0.5 degrees: air and dew point temperature, mean sea level pressure, clouds, 10 m winds • The net heat flux is corrected by a relaxation (constant coefficient at this point, 20 W/m2/degC) to satellite SST (T*) each model time step with the following formula:
DT evaluation of the basin scale forecast: comparison with indipendent buoy data Temperature: VALENCIA ALBORAN
Forecast production and broadcast: • Every day a 10 days forecast is produced in Real Time (11hr delay) • Once a week, 15 past days analyses are produced with the assimilation of all available data (SST contribution) • Every day a Web Bulletin is published (SST contribution) • Every month an electronic monthly bulletin is released on the web site • describing the results of the MFS system for the previous month together with anomalies and climatic indices (SST contribution) • Every day the model data (& GOS SST data) are available through a dedicated ftp to users • www.bo.ingv.it/mfs
Shelf models at 1-2 km Sub-regional models at 3 km MFS disseminate daily forecasts to 11 nested models ESEOO POSEIDON
Summary of SST Dissemination to Mediterranean Users • Primary user of SST is the MFS at INGV • National forecasting Systems and MOON operational system throughout MOON MoU (31 centres) • Research and educational users (> 200) • Research studies, cruises planning, etc • Commercial Users • ENI-AGIP, Telespazio • Environmental Agency: • EEA (SST contribution Climate change report 2008, contribution to the monthly bulletin in discussion) • UNEP/MAP (draft of the monthly bulletin is already proposed) MoU is in discussion • Agreement with Italian Meteorological service for use the SST in their broadcast system is under discussion
Conclusion and Future plans • The Satellite Observing System of the Mediterranean Sea provides NRT, DT, and re-analysis satellite products in agreement with the requirements of the MCS core products • This system will be the MOON component of the SST-TAC of MCS in the framework of MyOcean • The CNR processing SST chains will be modified to provide also Black Sea products in accordance with the MyOcean requirements • In the framework of National Projects (Adricosm & PRIMI): • new multi-sensors UHR SST products will be developed for the Italian Sea (Adriatic, Sicily Channel, Tyrrhenian Sea at 1 Km resolution) • the new SST products will be assimilation in the Adriatic, Sicily Channel forecasting models • The SST assimilation scheme will modified to take into account that the characteristics satellite SST (e. g. restoring coefficient depending on wind intensity & regime, e.g. Artale et al. JGR 2002 )