We now have the first results for
our Climatological simulations, investigating the influence of removing the «blob» of warm sea surface temperatures off the western US coast.
Not exact matches
Normalised RMS error in
simulation of
climatological patterns of monthly precipitation, mean sea level pressure and surface air temperature.
For the earlier generation of models, results are based on the archived output from control runs (specifically, the first 30 years, in the case of temperature, and the first 20 years for the other fields), and for the recent generation models, results are based on the 20th - century
simulations with
climatological periods selected to correspond with observations.
Surprisingly, an average over these
simulations gives a better match to
climatological observations than any single model.
Although the
simulation conditions in the MMD 20th - century
simulations were not identical to those in the CMIP1 & 2 control runs, the differences do not alter the conclusions summarised below because the large - scale
climatological features dominate, not the relatively small perturbations resulting from climate change.
Normalised RMS error in
simulation of
climatological patterns of monthly precipitation, mean sea level pressure and surface air temperature.
The time - independent linear response to these tropical anomalies is calculated for extratropical basic states taken from reanalysis climatologies and also from the
climatological states of Action de Recherche Petite Echelle Grande Echelle (ARPEGE) and Laboratoire de Mà © tà © orologie Dynamique (LMDZ) general circulation model
simulations.
Reproducing spatial patterns of the
climatological temperature sensitivity of soil carbon is a necessary condition for trustworthy
simulations of the carbon - cycle — climate feedback.
The distributions of temperature and rainfall provided by ensemble
simulations (typically 40 - 50 for each forecast) often do not even bound the extreme events and the ensemble mean is biased towards a
climatological mean and does not capture extreme events.