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CEH / Met Office Hadley Centre: Input into an impacts model
Objectives: To estimate river flow changes across the river network of the UK.
- How they used UKCP09 dummy data
Regional Climate Model (RCM) data for baseline and future time periods and for all the ensemble members, were downscaled to a
1 km resolution (the required resolution) and input into the Grid–to-Grid hydrological model. The downscaling procedure used high resolution information from a standard average annual rainfall dataset.
A change in river flow from baseline to future was calculated on a
1 km grid across the UK for each ensemble member.
A map showing estimated changes in peak annual average flow across the UK was developed for each ensemble member projection.
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The next step would be to decide how to present the data. It could be presented as graphs for a particular location showing the projected change in river flow associated with each ensemble member, or as a map of UK rivers showing the percentage change in peak river flow derived from averaging across all the ensemble members.
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They could compare the regional climate model changes in the context of the full IPCC AR4 range of changes.
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The results could be communicated through reports, publications and refereed scientific journals.
- What they learnt about UKCP09
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The RCM data were the only UKCP09 output that provided information that was transient and at the required temporal resolution while being spatially consistent across the grid cells.
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Use of direct RCM output encouraged a critical assessment of the applicability of the resulting flow changes. The lack of probabilities associated with these projections avoided the possibility of unquestioning application of probabilities to determine absolute risks.
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When RCM data are used in preference to the probabilistic data a simple analytical framework for assessing the likelihood of the various outcomes is not available. Expert judgment is therefore required to assess the applicability of the results.
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There is only one emission scenario available through the RCM data (medium).
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The sheer volume of RCM data makes the information hard to handle.
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The RCM data are not available in what would typically be thought of as a user-friendly format. For this exercise it was only available in binary, post-launch it should also be available in .csv.
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It was noted that the RCM models a 360-day year with 30 days in each month so it is hard to compare to observations.
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11 plausible results of river flow makes analysis more complex.
- Contact details: Vicky Bell, Centre for Ecology and Hydrology; Richard Jones, Met Office Hadley Centre (Reading Unit).
- Downoad the full report (pdf, 210 KB)
- LINK on the BADC website
- Bell, V.A., Kay, A.L., Jones, R.G., Moore, R.J. (2007) Use of a grid-based hydrological model and regional climate model outputs to assess changing flood risk. International Journal of Climatology, 27, 1657-1671. doi:10.1002/joc.1539.
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Keywords
RCM, impacts, river flow
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- Data source: 11-member RCM
- UKCP09 Product: 11-member RCM
- Other products: None
- Climate variables: Rainfall and variables to represent potential evapotranspiration
- Emission scenario: Medium
- Time period: 1970s, 2080s
- Temporal averaging: Transient
- Spatial averaging: 25 km grid squares
- Location: UK
- Probability level: N/A
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Last Updated Friday, 30 September 2011 |