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Why can't I aggregate two grid cells together with the probabilistic data?
It is not possible to aggregate two or more
grid cells together because the values of change at a particular
probability level (for example, 90%) for a number of grid squares
cannot be averaged.
In detail
Many users of the UKCIP02 projections will have become used to
looking at maps which show a snapshot of the distribution of changes in
climate over the UK, for example those showing change in summer
precipitation by the 2080s, for a High emissions scenario, at a
resolution of 50 km. The UKCP09 maps have the same sort of appearance
as those in UKCIP02, apart from the increased resolution of 25 km, but
the nature of their content is quite different.
The maps in UKCP09 show changes at a particular
probability level (e.g. 10%, 50%, 90%), taken from the cumulative
distribution functions, CDF, at each 25 km square. The map below is
generated by the User Interface and shows the projected changes in mean
winter precipitation at the 90% probability level, over Wales. Values
of percentage change are overprinted on each 25 km square; there is a
90% probability of the precipitation change being below this value.
Shown alongside are the CDFs for two of the individual squares in that
region, showing correspondence between the 90% probability level on the
CDF and the value given on the map. So, for example, the upper CDF for
an inland square shows that the projected change is very unlikely to be
greater than 19% or, alternatively, very likely to be less than 19%.
The lower CDF shows the very different change, 80%, at the same
probability level, at a coastal grid square. The same principle will,
of course, apply to maps showing projected changes at 10% and 50%
probability levels.
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Download a pdf version of the map (pdf, 100 KB)
The values of change at a particular probability level (for example,
90%) for a number of grid squares cannot be averaged together; for this
reason projections in UKCP09 are also given over two sets of larger
areas (administrative regions and river basins). In addition, values of
change at a particular probability level (for example, 90%) for two
different variables (for example, mean temperature and precipitation)
at a particular grid square, cannot be combined; this is the reason
that joint probability values are made available.
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