Weather forecasting is notoriously wonky - climate modeling even more so. But their slowing increasing ability to predict what the natural world will throw at us humans is largely thanks to two things - better models and increased computing power. Now, a new paper from researchers led by Daniel Klocke of the Max Planck Institute in Germany, and available in pre-print form on arXiv, describes what some in the climate modeling community have described as the holy grail of their field - an almost kilometer-scale resolution model that combines weather forecasting with climate modeling.
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