OOPC and OCG, April 2002 * OOPC Pilot Projects * Other OOPC Initiatives * OceanObs99 St. Raphael * CEOS/IGOS Ocean Theme * Toward a products/system approach.

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Presentation transcript:

OOPC and OCG, April 2002 * OOPC Pilot Projects * Other OOPC Initiatives * OceanObs99 St. Raphael * CEOS/IGOS Ocean Theme * Toward a products/system approach * Data quality issues * GODAE & CLIVAR and upper ocean thermal, salinity & circulation

OOPC Pilot Projects Global Ocean Data Assimilation Experiment ( ARGO ( * Global Ocean Time Series Observatories System (w. POGO)

OOPC - Other Initiatives Surface Marine Fields – VOSCLIM and data transmission and surface reference sites Ship of Opportunity Program - into non- physical measurements SST – Sea Ice Expert Team (w. AOPC) Surface Pressure Expert Team (w. AOPC)

OceanObs99 St Raphael International ocean operations and research communities came together to reach consensus on ‘next steps’ in sustained ocean observations. “Observing the Oceans in the 21 st Century” available from Bureau of Meteorology, Melbourne, Aus. JCOMM and OCG are crucial for much.

Maximize Data Quality We have opportunity to do better with our routine observations Climate signals often are not large (fig.) Ship surface temperatures continue to show large scatter. Ship based obs. of surface meteorology variables also show large scatter. High SLP quality requires careful effort Real time reporting is highly desirable for all routine obs.

CLIMATE ANOMALY STANDARD DEVIATIONS COADS, RC-Smoothed Harrison & Larkin, 1998 Reviews of Geophys. SST (C) Zonal Wind (m/s) Merid Wind (M/S)

SST Expert Group Intercomparison of global SST products identified significant differences, relative to large-scale climate signal amplitudes GCOS & GOOS established an “Expert Team” lead by Dick Reynolds, with international participation Many operational SST products are available via an LiveAccesServer: Work is underway to identify data needs and improve operational procedures.

NOVEMBER 1997 SST Differences NCEP minus UKMET SST Products

Surface Pressure Expert Group Surface pressure (SLP at sea) is a key climate variable Also a key input for Sea Surface Height Anomaly estimation Intercomparison of SLP operational products has begun Evaluation of historical SLP data set is also underway

Toward a Product/System Approach To meet the objectives of the customers of the IOOS, a product, product skill and product improvement focus is called for. The quality of each observation remains of paramount importance- Need uncertainty estimate for each observation Also need appropriate global data distributions A system approach uses product skill evaluation to guide our implementation choices and priorities

Product skill goals (TBD) * SLP to 0.5mb, 2x2deg, daily SST to 0.1C, 5x5deg, weekly Upper ocean regional volume average temperature to 0.1C, monthly Net meridional heat transport across repeat sections to 0.1 Petawatt, seasonally Ocean carbon inventory changes to 0.2gton/yr over five year repeats

CEOS and its Themes Commission on Earth Observation Satellites (CEOS) Integrated Global Observing Strategy (IGOS) IGOS Themes: –Ocean Theme –Carbon Theme –

GODAE The Global Data Assimilation Experiment has the goal of demonstrating the utility of a wide suite of operational oceanography products Intensive Period is Data systems are in pilot implementation phase Data & Product Server/Browsers available: e.g., The real time component and ‘climate’ component, have different data quality needs and time constraints Need to characterize data errors for ODA

CLIVAR Sustained Ocean Obs CLIVAR is planning new field programs in each of the ocean basins. Although these will be research programs, all available platforms and sensors will be needed for best outcome Development of “AUVs”, including gliders Will help us understand better the scales and mechanisms of climate phenomena

The Next Few Years GODAE needs real time data, real time QC, good data access. Lots of the World Ocean still not well sampled – global coverage is needed routinely. ARGO to full implementation. Improve quality of sustained data. CLIVAR is planning regional efforts. Work together to develop: optimum regional mix of sensors and data, relative to the variability in each region, to reach our product skill goals