What is it about?

This paper explores two methods of bias-correcting the inputs to regional climate models, and looks at the benefits and limitations of each method for simulating precipitation on a river basin scale. We show that applying a bias correction to the global model data before using it to force a regional climate model can greatly improve the regional simulation. We suggest that the simple linear bias correction is a better method than more complex corrections for this application.

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Why is it important?

This paper explores a new concept in the field of regional climate modelling, the idea of bias-correcting the inputs, to reduce biases in the outputs. This is the first paper to compare different methods of doing this, and to look thoroughly at the benefits and limitations of this new idea. We show that it can provide significant benefit, but that caution must be taken when using correction methods that do not retain linear inter-variable relationships.

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This page is a summary of: The limitations of bias correcting regional climate model inputs, Geophysical Research Letters, June 2013, American Geophysical Union (AGU),
DOI: 10.1002/grl.50612.
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