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Climate of the Past An interactive open-access journal of the European Geosciences Union
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Preprints
https://doi.org/10.5194/cp-2015-170
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/cp-2015-170
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  15 Jan 2016

15 Jan 2016

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This discussion paper is a preprint. It has been under review for the journal Climate of the Past (CP). The manuscript was not accepted for further review after discussion.

Dynamical downscaling of the western North Pacific from CCSM4 simulations during the last glacial maximum and late 20th century using the WRF model: model configuration and validation

J. Yoo and J. Galewsky J. Yoo and J. Galewsky
  • University of New Mexico, 221 Yale Blvd. NE MSC03 2040, Albuquerque, NM 87131-0001, USA

Abstract. Using the Weather Research and Forecasting (WRF) model (version 3.5.1), dynamical downscaling of the Community Climate System Model, version 4 (CCSM4), simulations of the last glacial maximum (LGM) and 20th century (ensemble member #6) run were conducted to simulate ten years of climate over the western North Pacific during the LGM and modern climates, respectively. This paper describes the downscaling procedures for the Weather Research and Forecasting (WRF) model experiments and the quantitative and qualitative model validations comparing with the CCSM4 LGM and 20th century simulations results.

Results of the dynamical downscaling of the CCSM4 LGM paleoclimate and twentieth century using the WRF model show not only that the WRF model is capable of long-term simulations in the paleoclimate state of LGM, but also that the WRF model can correct biases in the general circulation model (GCM), producing more realistic spatial distributions of the pressure-level variables. The downscaling of a GCM model using the WRF model (36 km) for the regional climate simulation is considered computationally cost-effective and reliable from the perspectives of model thermodynamics in general, although there are some model errors still existing with dynamic variables.

J. Yoo and J. Galewsky

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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J. Yoo and J. Galewsky

J. Yoo and J. Galewsky

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Short summary
To understand the evolutions of large-scale atmosphere (thermo-)dynamic conditions for tropical cyclone activity during the Last Glacial Maximum (LGM), dynamical downscaling of GCM (CCSM4) outputs was conducted using the WRF model. This paper describes the evaluation of the downscaling experiments. Results suggest that the WRF model is capable of long-term simulations in the different climate state of the LGM. This study might contribute to paleoenvironment and regional climate change studies.
To understand the evolutions of large-scale atmosphere (thermo-)dynamic conditions for tropical...
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