measuring the benefits of climate forecasts
TRANSCRIPT
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Measuring the skill benefits of climate forecasts in predicting
PV power productionMatteo De Felice, Andrea Alessandri and Maurizio
Pollino
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Solar Power and Climate• Today we have plenty of weather/climate datasets of
solar radiation (satellites, reanalyses, NWP, climate forecasts)
• Here we focus on seasonal predictability of solar radiation
• The aim of this paper is an assessment of the skills of seasonal forecasts to predict solar radiation over Europe
• May the information provided by climate forecasts help the solar power sector to improve their decision-making?
EGU2016-18336 - Climate Services - Underpinning Science Session
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Skill of seasonal forecasts
ECMWF System4 vs Heliosat (SARAH) - Summer, 1983-2013
EGU2016-18336 - Climate Services - Underpinning Science Session
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Is this enough?
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More information sources
• Skill of seasonal forecasts in predicting PV power output
• PV Solar Installed capacity
• Solar radiation inter-annual variability
• Using land-cover to mask areas not-suitable for PV
EGU2016-18336 - Climate Services - Underpinning Science Session
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Measuring the benefitsEGU2016-18336 - Climate Services - Underpinning Science Session
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And now the long story…
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What is a good forecast?Allan Murphy in 1993 categorised the “goodness” of a forecast in…
1 Consistency Correspondence between forecasts and judgements
2 Quality Correspondence between forecasts and observations
3 Value Incremental benefits of forecasts to users
EGU2016-18336 - Climate Services - Underpinning Science Session
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“Quality” means “value”?
• A. Murphy underlined that forecasts do not have an intrinsic value but instead they gain it when they have a positive influence on on the decisions made by users of the forecasts.
• Value of a forecast is strictly linked with its quality but their relationship is rarely linear
EGU2016-18336 - Climate Services - Underpinning Science Session
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Information layersHere we assume that the benefit of a climate forecast of solar power is affected by the following three factors:
1. Statistical Skill (e.g. BSS): the more the better
2. Installed Capacity: good forecast will have a greater impact in areas with high installed capacity
3. Inter-annual variability: a forecast can help to cope with the high variability of solar radiation
EGU2016-18336 - Climate Services - Underpinning Science Session
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(1/3) Statistical skill
ECMWF System4 vs Heliosat (SARAH)
1983-2013 Lower tercile upper part: DJF - MAM lower part: JJA - SON
EGU2016-18336 - Climate Services - Underpinning Science Session
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(1/3) Statistical skill
ECMWF System4 vs Heliosat (SARAH)
1983-2013 Upper tercile upper part: DJF - MAM lower part: JJA - SON
EGU2016-18336 - Climate Services - Underpinning Science Session
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(1/3) Statistical skill
Modelled PV production of ECMWF System4 vs
Heliosat (SARAH) + EOBS
1983-2013 Lower tercile upper part: DJF - MAM lower part: JJA - SON
EGU2016-18336 - Climate Services - Underpinning Science Session
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(1/3) Statistical skill
Modelled PV production of ECMWF System4 vs
Heliosat (SARAH) + EOBS
1983-2013 Upper tercile upper part: DJF - MAM lower part: JJA - SON
EGU2016-18336 - Climate Services - Underpinning Science Session
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PV Suitability• Map of suitability of PV
derived by the work by Hansen & Thorn (PV potential and potential PV rent in European regions)
• Based on the Corine Land Cover 2006 (CLC2006)
• Used to mask out grid points from analysis
EGU2016-18336 - Climate Services - Underpinning Science Session
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(2/3) Installed Capacity• PV cumulative installed capacity in 2014 (Data
extrapolated from the Solar-Power Europe Global Market Outlook)
EGU2016-18336 - Climate Services - Underpinning Science Session
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(3/3) Inter-annual variability
Relative Std. Dev. Heliosat (SARAH)
1983-2013 Lower tercile upper part: DJF - MAM lower part: JJA - SON
EGU2016-18336 - Climate Services - Underpinning Science Session
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(3/3) Inter-annual variability
Relative Std. Dev. Heliosat (SARAH)
1983-2013 Lower tercile upper part: DJF - MAM lower part: JJA - SON
EGU2016-18336 - Climate Services - Underpinning Science Session
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Putting things togetherA matrix of this type should be designed in
collaboration with the end-user
EGU2016-18336 - Climate Services - Underpinning Science Session
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Measuring the benefitsEGU2016-18336 - Climate Services - Underpinning Science Session
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Comments
• We should focus not only on skill but on all the factors influencing the decisions
• When providing a service focus on value and not (only) on quality
EGU2016-18336 - Climate Services - Underpinning Science Session