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An Improved Climate Dynamical Downscaling at Regional Scales

Jian Jin, R. McCoy, S.-Y. Wang, Charles P. Hawkins, David Gavin Tarboton

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Abstract

Regional climate modeling is still a challenge due much to uncertainties in the model physics and forcing data (boundary conditions) In this study, we attempt to improve precipitation simulations and forecasts for the western United States with an advanced regional climate model by calibrating its physics and correcting the biases in the forcing data.

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What this paper is about

Regional climate modeling is still a challenge due much to uncertainties in the model physics and forcing data (boundary conditions) In this study, we attempt to improve precipitation simulations and forecasts for the western United States with an advanced regional climate model by calibrating its physics and correcting the biases in the forcing data.

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Available abstract

Regional climate modeling is still a challenge due much to uncertainties in the model physics and forcing data (boundary conditions) In this study, we attempt to improve precipitation simulations and forecasts for the western United States with an advanced regional climate model by calibrating its physics and correcting the biases in the forcing data.

Key concepts: Downscaling, Climatology, Environmental science, Climate model, Climate change, Meteorology, Geography, Precipitation

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