www.cmar.csiro.au/staff/oke www.cmar.csiro.au/staff/oke GODAE OceanView Observing System Evaluation Task Team (OSEval TT) Session Introduction Peter Oke Peter Oke CSIRO Marine and Atmospheric Research November 2011 “The most exciting phrase to hear in science, the one that heralds the most discoveries, is not ‘Eureka!’, but ‘That’s funny…’ ”, Isaac Asimov (1920-1992)
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Www.cmar.csiro.au/staff/oke/ GODAE OceanView Observing System Evaluation Task Team (OSEval TT) Session Introduction Peter Oke CSIRO Marine and Atmospheric.
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GODAE OceanView Observing System Evaluation Task Team
(OSEval TT) Session Introduction
Peter OkePeter OkeCSIRO Marine and Atmospheric Research
November 2011
“The most exciting phrase to hear in science, the one that heralds the most discoveries, is not ‘Eureka!’, but ‘That’s funny…’ ”, Isaac Asimov (1920-1992)
– Progress NRT OSE activities– Explore links to other task teams
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OSEval TT session agenda
0900 Introduction (Peter Oke)• Reminder of the OSEval TT mission• Review of outcomes from GOV/CLIVAR Workshop• Objectives of this session
0930 NRT OSEs presentation (Matt Martin, for Dan Lea)• Review of past NRT OSE results (Jan-May 2011);• New results from recent NRT OSEs (June-October 2011);• Proposal for NRT OSE results dissemination.
1000 Discussion of NRT OSE activities (Discussion Chair: Peter Oke)• Which groups will participate?• How should NRT OSE results be disseminated?
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OSEval TT session agenda (cont)
1030 GODAE OceanView’s role in supporting the XBT program• Demonstrating the quantitative impact of XBT in model sis
difficult because of the quantity of Argo data;• Should all XBT data be with-held from operational systems
and serve as the foundation of model evaluation and inter-comparisons?
Framework for Ocean Observing:where GODAE OceanView fits
7Contributed by E. Lindstrom, OOPC Chair, NASA
GOV OSEva
l-TT
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OSEval TT mission
• Support observational agencies by demonstrating the impact of observations on forecast and reanalysis systems
• Contribute to the assessment of existing observing systems• Identifying gaps and redundancies• Identifying errors
• Contribute to the design of future observing systems• e.g., altimeter constellations, mooring arrays etc
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NRT OSEs Routinely run parallel forecast at operational centers and
with-hold a different data each month: Quantify the impact of each data type on forecasts Multi-system approach Rotating data types each month
We need to agree on:experiment schedule (what to with-hold and when);Who will participate?Metrics (what?);Analysis (what, who, how?); andDissemination (where, how?)