For those who want to follow the news
about regional climate modelling efforts, there is a live streaming at the conference website, and through twitter with hash tag «#CORDEX2013 `, you can take part in the discussions (please indicate to whom you address your questions).
Not exact matches
What really concerns me is that I've read a lot
about climate models not being able to replicate the magnitude of abrupt
regional temperature changes in the past, and Raypierre has said here that he fears that past
climate records point towards some yet unknown positive feedback which might amplify warming at the northern latitudes.
These days, questions
about local and
regional climate change, as well as methods and climate models, are discussed at the International Conference on Regional Climate — CORDEX2013 (Brussels, 4 - 7 November,
climate change, as well as methods and
climate models, are discussed at the International Conference on Regional Climate — CORDEX2013 (Brussels, 4 - 7 November,
climate models, are discussed at the International Conference on
Regional Climate — CORDEX2013 (Brussels, 4 - 7 November,
Climate — CORDEX2013 (Brussels, 4 - 7 November, 2013).
To learn
about the limits on
regional and short - term
climate forecasting, watch climatologist Gavin Schmidt's presentation, «What Are Climate Models Good For?
climate forecasting, watch climatologist Gavin Schmidt's presentation, «What Are
Climate Models Good For?
Climate Models Good For?»
«We do argue, however, that
regional climate models can provide useful information
about climate change as long as there is some value in the large - scale infor ¬ mation provided by the multimodel GCM ensembles.
Simulating the variation of the ice sheet's albedo using a
regional climate model — Modèle Atmosphérique Régionale (MAR), which some members of the team helped develop — indicated that increasing temperatures and melting accompanied by snow grain growth and greater bare ice exposure account for
about half the decline, the scientists report.
But running point scale intercomparisons of the sort Koutsoyiannis did tells you little
about the validity of the
model with respect to the purpose for which it is designed; but does underline the limits of global
models for
regional climate work.
North American
Regional Climate Change Assessment Program (NARCCAP): six regional climate model analyses (and limited time - slice analyses from two global models) for the continental U.S. run at about 30 - mile horizontal reso
Climate Change Assessment Program (NARCCAP): six
regional climate model analyses (and limited time - slice analyses from two global models) for the continental U.S. run at about 30 - mile horizontal reso
climate model analyses (and limited time - slice analyses from two global
models) for the continental U.S. run at
about 30 - mile horizontal resolution.
That we tend to see much more discussion
about global warming is I think because of the limitations of the
climate models when they go to more
regional and seasonal predictions and refinements of max versus min temperature trends.
The ENA is providing a rare, long - term data set
about the response of these low clouds to changes in atmospheric greenhouse gases and aerosols — a major source of uncertainty in global and
regional climate models.
«The quality of the global
models are too poor to give any clear information
about regional climate change.
Not only have its
models been conclusively wrong
about CO2 - caused global warming over the last 15 years, but the
climate models»
regional predictions are often diametrically opposite of reality.
Others have talked
about what this might look like —
regional impacts, measurement quality, reduced funding to GCM
modeling (consistent with their strength in testing subsystems rather than forecasting
climate), and more empirical work and
modeling of those systems that have a large impact on areas of risk.
I should begin by disclosing that as a former project scientist at the National Center for Atmospheric Research, I was tasked with thinking
about how to combine data from different
climate models into probabilistic projections of
regional climate change.
I think it it reasonable for reasonable people to be somewhat shocked and surprised by such massive shifts in a scientific consensus to at least be asking questions
about who or what is right or more right, and why X evidence is suddenly superseding Y evidence, or why previously accepted global
climate models,
regional or ocean
models no longer are accepted.