It's not surprising because weather forecast models don't work either, and climate is the average of the weather.
Not exact matches
But Klotzbach and other experts say the
models, and seasonal
forecasts, still provide useful insight into something as unpredictable as extreme
weather even if they
do not always pan out.
The military satellites can probably survive well beyond 2012, although they
do not provide all the data NOAA needs for its
weather -
forecasting models.
If we thought
weather forecasting models were inaccurate solely because the
weather doesn't «know» what it's going to
do there'd be no point in investing in bigger and bigger supercomputers would there?
This is quite subtle though —
weather forecast models obviously
do better if they have initial conditions that are closer to the observations, and one might argue that for particular climate
model predictions that are strongly dependent on the base climatology (such as for Arctic sea ice) tuning to the climatology will be worthwhile.
Of course you may claim that the
weather men
do produce better
forecasts, but that is because they have learnt where the
models go wrong, and can adjust their
forecast appropriately.
Thus the
weather forecasting centers started to
do «re-analyses» in the 1990s — which involved going back over the older data and running it with the most up - to - date
forecasting model.
Since you mention
weather, I ask you how well the UK MET people have
done over the last 4 or 5 years using some of these
models in their seasonal
forecasts?
Their paper
does not appear to
do much more than test whether climate
models can produce
weather forecasts.
Several days ago, Andy Revkin
did a nice post querying a number of
weather forecasters and researchers about the relative merits of the different
forecast models [link], particularly since everyone seemed to be paying attention to the European
model (ECMWF) rather than NOAA's GFS
model.
Similarly to
weather forecasting, efforts can be made to setup a
model to match initial conditions at a certain point in time but they are likely to break down pretty quickly because we lack the quantity and quality of data to be precise enough in the setup (and possibly because the chosen
model does not accurately produce variability similar to that observed on Earth).
Nor
do climate
models generally produce
weather forecasts.
Models used for
weather forecasting are relatively easy to test, but those tests
do not cover all features that are important in climate research.
So
does the NCEP process of using an operational
weather forecasting model to integrate the actual measurements into a meteorologically coherent set of data presented on a regular grid.
There are those who say that the
models do an adequate job on circulation, but just watch the
weather channel for how far ahead we can
forecast a storm track.