2008 US CLIVAR Summit Phenomena Observations and Synthesis.

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U.S. CLIVAR Program U.S. CLIVAR Program 2008 US CLIVAR Summit Phenomena Observations and Synthesis

Transcript of 2008 US CLIVAR Summit Phenomena Observations and Synthesis.

Page 1: 2008 US CLIVAR Summit Phenomena Observations and Synthesis.

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2008 US CLIVAR SummitPhenomena Observations

and Synthesis

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ramBest Practices

• Salinity Field program in support of Aquarius

– POS provide feedback to organizing group

• Suggest using Pirata array - augment salinity measurements of Pirata buoy in the domain (subtropical North Atlantic) as soon as possible

– Early involvement of NODC to formulate protocol of data archival

• Develop web based primer on historical data sets (Alexey, Cathy)

– Advertise via Climate Variations Article

• Synthesizing (JCOMM) observational and climate (GCOS) requirements for satellites into a combined set of requirements.

– Extend to in situ data

– Check requirements for errors, realism, consistency

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Best Practices NODC data archival Break out with Margarita Gregg

• Identify “orphan” data sets (e.g. Turbulence measurements

• Coordinate group collection/submission of data

• Data searchable by field program (all data from CLIMODE)

• Early participation of NODC in filed programs to facilitate archival

• Use netcdf

• Outside validation of updated or new products

• Leverage state of the art development at other institutions

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Feedback to AgenciesDrought

• Bridging current modeling studies with obs– Develop soil moisture fields for model initialization and

validation– Provide guidance to NIDIS

• Explore decadal prediction using coupled models

• Role of deep soil moisture in providing memory and low frequency predictability– Improved model formulations– What data is available? – New measurements

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Feedback to AgenciesDecadal Predictability

• Secular trend in Indian Ocean - Surface warming/thermocline cooling– Role of local process:

• surface fluxes, Indian ocean subtropical cell

– Remote • Indonesian through flow

– Natural variability vs anthropogenic forcing

• Atlantic MOC– Predictability – Connection to SSTs– Scale of variability & Meridional connectivity

• Tracing source of changes at 25°N

• Storm track variability– Causes– Impact on extreme events– Driving of AMOC especially in SH

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Feedback to AgenciesSmall grant call (DRICOMP-like)

• Intercomparison of new reanalysis products from NCEP, NASA, EC, JMA– Focus on interface (e.g surface fluxes)

• Preparation for IESA• Loosely coupled vs atm only

– Best practices• Define metrics• Identifying independent data sources• Verification methods

– Evaluation of accuracy as a function of scale

• Extreme events (could be within Reanalysis)

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Inform Policy and Decision makers

• Communicate synthesized data requirements and potential source of biases to JCOMM & GCOS directors– Include gravity (GRACE) & surface flux measurements

– Biases between data sets and satellite measurements• Need for overlap periods

• Climate Variations article describing Climate Data Modernization Project (CDMP)

• Accepts proposals from NOAA to digitize data

• Provide feedback on white papers and potential leads for sessions at Ocean Obs 09 conference– Session(s) on using new obs to better understand ocean

physics/dynamics

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Working Groups• IESA

– Consider having a workshop first • Key to get buy in from major centers

– As new high resolution reanalysis become available in the next year or two compare uncoupled (NASA I) to “loosely” coupled (NCEP, NASA II)

– Potential Programatic WG activities• Assessment of data error characteristics• Define metrics• Identify scientific challenges • Provide recommendations in terms of priorities

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Working Groups II

• Abrupt climate change - tipping points in future climates– Rong made compelling case for WG

• e.g. very well attended session at AGU

– Issue how to best focus this effort• Physical system?

• One or a few key issues or areas– Tipping points in Amazon (tropical rain forests)

– Contact researchers in this area and solicit opinions– Consider workshop or Chapman conference

• Extreme events– Link statistical & climate communities

• Consider recently released CCSP document first

• Storm tracks– Decadal variability and change– Relation to extreme events

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