models and their evaluation focusing on variability modes
of increasingly complex Earth System Models (ESMs) has provided new
opportunities for forecasting beyond the weather regime, including intraseasonal,
seasonal, and interannual time
scales, as well as research associated with projections of climate change.
Consequently, the diagnosis and evaluation of climate models and their
simulations has become increasingly complex in recent decades. This has been
facilitated through the development of coordinated model intercomparisons in
the early 1990’s and the public availability of standardized model output in
conjunction with the advent of reanalysis which provides a long record of
validation data. It is therefore important to have standard performance tests
for climate models to assess if statistically significant improvement has been
achieved across generations of models. In the presentation I will introduce how
these efforts have been formulated in the climate research community and the
LLNL’s contribution on developing the standard evaluation metrics especially
focusing on climate variability modes.
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