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TRANSCRIPT
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Cost benefit studies for observing systemsStuart Goldstraw, Met Office, CBS-RA3-TECO-RECO, 13th September 2014
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Contents
This presentation covers the following areas
• Background
• The cost – benefit chain
• Introducing the FSO Tool
• Some results for the Met Office
• Discussion and Next Steps
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Background
• CBS-14 established IPET-OSDE as part of the structure of OPAG-IOS.
• WIGOS Network Design Principles, as discussed at the CBS-Ext Session include the following:
5. DESIGNING COST-EFFECTIVE NETWORKS
Observing networks should be designed to make the most cost-effective use of available resources. This will include the use of composite observing networks.
• This presentation is based on the paper presented by John Eyre to IPET-OSDE-1 in March 2014 and the subsequent work undertaken John Eyre and Rebecca Reid.
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Why study cost benefit for observing systems?
• Society benefits from the Services we provide too them
• These Services are developed using the outputs obtained from 12 recognised WMO Application Areas
• Observing Systems are developed and operated to meet the requirements of these Application Areas
• Observing Systems have costs associated with them
• The requirements of Society, our Services and Application Areas have evolved and will continue to evolve with time
• Therefore we need to optimise the investment in observing systems to ensure we meet the changing needs of Society.
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The cost-benefit chain
Observing Systems
Impact per cost
ServicesApplication
Areas Society
Indirect users of observations
M$ cost
M$ societal benefit
Benefit per
impact
Direct users of observations
Direct users of Services
Direct users of Application
outputs
Remote users of
observations
12 WMO Application Areas
• Global NWP
• Regional NWP
• Nowcasting and VSR Forecasting
• Sub-seasonal and longer range forecasting
• Aeronautical Meteorology
• Atmospheric Chemistry
• Ocean Applications
• Agricultural Meteorology
• Hydrology
• GCOS
• Climate Applications
• Space Weather
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The four stages to cost benefit impact
• The costs of Observing Systems
• The impact of observations on Application Areas
• The impact of Application Areas on Services
• The benefit of Services to Society
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Focus on the first two components
• The costs of Observing Systems
• The impact of observations on Application Areas
• The impact of Application Areas on Services
• The benefit of Services to Society
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Simplify the challenge further
• The costs of UK Observing Systems
• The impact of observations on Global NWP
• The impact of Application Areas on Services
• The benefit of Services to Society
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Considering the Global NWP Application Area
• Developments in Data Assimilation methodologies have allowed the community to develop new observations impact tools.
• The Forecast Sensitivity to Observations (FSO) tool can provide an indication of the relative impact of observations on forecast skill
• We also understand the costs of the observing systems we operate
• Therefore we can determine a relative impact per cost of the observing system, the first two steps in the benefit chain.
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The Adjoint-based FSO Method
The change in forecast error at T+24 is entirely due to the assimilation of observations at T+0.
Slide courtesy of Richard Marriott
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FSO evaluation – total impact
Total impact of observations by type, period April-July 2013
Negative impacts show an improvement in forecast skill
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FSO Evaluation – impact per observation
Impact per observation by type, period April-July 2013
Negative impacts show an improvement in forecast skill
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Costs of Met Office Observing Programmes in 2013 in US$
• AMDAR*• ASAP*• Drifting Buoys• Moored Buoys• Ship Obs• Surface Synoptic• Wind Profilers^• GPS IWV• Radiosonde^
$0.47M
$0.33M
$0.07M
$1.53M
$0.87M
$6.77M
$0.27M
$0.19M
$1.75M
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Impact of global observations and use of Met Office costs
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Firstly considering the total impact
Radiosonde, AMDAR and Synops are showing largest impact
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Secondly considering the impact per observation
Moored buoys, Ship Obs and Synops showing similar impact
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Finally considering impact per cost
AMDAR and Drifting Buoys show high impact per $
Distribution of buoy observations
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Distribution of synop and ship obs
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Interpretation of results
• Impacts must be taken in the context of the total current ‘system’: the observing system; the Data Assimilation system and the Model version.
• Impacts should be interpreted as "the effective impact which those observations are having in the presence of all other observations" (RM 2013)
• Impacts only represent the change in error of our chosen forecast metric – i.e. the global moist energy norm on 24-hour forecasts.
• Impacts should be averaged over many cases, in this case 4 runs a day for 3 months.
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• Considering the three layers of detail together provides a fuller evaluation of the value of networks
• Important to avoid misinterpretation of results: e.g. ‘high impact per cost’ does not imply ‘invest here’
• Results may help to advise evolutionary changes in network design, if they are considered in full context.
• They can provide a ‘top level’ analysis, and be considered alongside individual characteristics of the observation types of interest (e.g. data quality, location, etc)
• This analysis is presented as a first, tentative step at evaluating ‘cost benefit’ of observing networks – remembering the specificity of the metric
Discussion Points
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• Improved estimates of the global, or regional costs of component observing systems are required.
• Results need to be generalised across multiple Global NWP centres.
• Development of methodologies to determine impacts across the other 11 WMO Application Areas.
• Development of methodologies to distribute costs of observing systems that serve more than one application area in a weighted manner.
• Further development of the end to end cost to benefits methodology – building on existing work, some of which has been highlighted this week.
What are the next steps
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Acknowledgement
This presentation could not have been made with the ongoing work being undertaken by John Eyre and Rebecca Reid and the previous work and advice of Richard Marriot.
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Thank you for your time