On the Warming Events over Toyama Plain by Using NHRCM

Ishizaki, Noriko N.; Takayabu, Izuru

doi:10.2151/sola.2009-033

Cited by 29 publications

(39 citation statements)

References 8 publications

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“…Note that Japan contains meridionally elongated archipelago and complex topography within a small land mass that brings a variety of climates (e.g., Ishizaki and Takayabu 2009). RCMs are nested in the Japanese reanalysis JRA-25 with the grid interval of 1.25 • × 1.25 • , in which the typhoon bogus was embedded (Onogi et al 2007).…”

Section: Models and Experimentsmentioning

confidence: 99%

“…The dynamical downscaling (DDS) method, using regional climate models (RCMs), can provide fine-grid physicallyconsistent data for a particular domain from coarse-grid information as the GCM. Many papers have demonstrated the availability of RCMs to improve simulations and our understanding (e.g., Giorgi and Bates 1989;Giorgi 1990;Leung and Ghan 1995;Mearns et al 1995;Yoshikane et al 2001;Kunkel et al 2002;Wang et al 2003;Sen et al 2004;Feser and von Storch 2008;Ishizaki and Takayabu 2009). In Giorgi and Bates (1989) and Giorgi (1990), first month-long nested simulations without any reinitialization, along with the RCM, added fine structure to the precipitation and temperature distribution to the large-scale circulation, followed by the external forcing of a GCM.…”

Section: Introductionmentioning

confidence: 99%

“…By performing several sensitivity experiments using RCM, Yoshikane et al (2001) and Yoshikane and Kimura (2003) showed the formation mechanisms of the Baiu front and south Pacific convergence zone. Ishizaki and Takayabu (2009) explained three different heating mechanisms for warming events on the lee side using trajectory analysis in RCM simulations. At present, the RCM is recognized as a powerful tool to zoom in for a closer look at regional climate.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improved Performance of Simulated Japanese Climate with a Multi-Model Ensemble

Ishizaki¹,

Takayabu²,

Oh’izumi³

et al. 2012

Journal of the Meteorological Society of Japan

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This paper analyzed the downscaling products for Japanese climate using five regional climate models (RCMs) with horizontal meshsize of 20 km with boundary conditions given from JRA-25 reanalysis. The RCMs successfully reproduced the temporal variations and geographic distribution of temperature and precipitation. Skill scores for the surface temperature were improved by the downscaling. The JRA-25 underestimated the precipitation amount for summer and winter seasons, and the RCMs reduced the error, especially in winter. The RCMs showed common features, such as a warm bias in the areas with a monthly-mean temperature lower than the freezing point, an overestimation of weak rainy days, and an underestimation of heavy rainy days. The comparison among five RCMs suggests that the warm bias is due to the lack of model resolution and the precipitation bias is related to the convective parameterization. The multi-RCM ensemble mean has considerable advantages over the individual RCM in regards to the bias and skill scores of surface temperature and precipitation, although it still showed the warm bias in snow areas in winter. The data set of the multi-model dynamical downscaling is expected to contribute to impact studies on the forthcoming climate change in Japan.

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Section: Models and Experimentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Improved Performance of Simulated Japanese Climate with a Multi-Model Ensemble

Ishizaki¹,

Takayabu²,

Oh’izumi³

et al. 2012

Journal of the Meteorological Society of Japan

Self Cite

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“…The relationship between precipitation and elevation in the present climate by NHRCM was compared with observation by . The climatological features of warming events over Toyama Plain, central Japan, were investigated with NHRCM by Ishizaki and Takayabu (2009).…”

Section: Regional Climate Modelling and Urban Simulationmentioning

confidence: 99%

The JMA Nonhydrostatic Model and Its Applications to Operation and Research

Saitō¹

2012

Atmospheric Model Applications

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“…The extended model (referred to NHM) is able to simulate the regional climate (e.g., Kurihara et al 2005;Kanada et al 2008;Sasaki et al 2008;Ishizaki and Takayabu 2009;Nakano et al 2010).…”

Section: Methodsmentioning

confidence: 99%

Summertime Temperature Extremes over Japan in the Late 21st Century Projected by a High-Resolution Regional Climate Model

Murata¹,

Nakano

Kanada

et al. 2012

Journal of the Meteorological Society of Japan

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Future changes in summertime temperature extremes over Japan are projected by a well-developed regional climate model (RCM) with a spatial resolution of 5 km. The performance of the RCM with respect to temperature in the present climate is evaluated first based on observations. Although the di¤erences in the biases (from observations) of daily temperatures between the RCM and the driving atmospheric general circulation model (AGCM) simulations are not statistically significant, root-mean-square errors (from observations) in daily mean and minimum temperatures reproduced by the RCM are smaller than those by the AGCM with a coarser spatial resolution. These results indicate that RCM with a higher spatial resolution has better performance than the driving AGCM in simulating temperature variability. A test of whether the RCM can capture temperature extremes reveals a good quantitative agreement between simulated and observed values in appearance frequency of extreme high temperature for the daily minimum temperature during July and August. The spatial pattern of the upper tail of the frequency distribution for the daily maximum temperature is also in good agreement with observations, although the model values are underestimated.Projected changes for extremely high daily minimum temperature are relatively large in July on the lee side of the Hidaka Mountains, southeast of Hokkaido. This finding can be explained by the foehn phenomenon: changes in the windward Froude number indicate that atmospheric conditions in the future climate are more favorable for the intensification of foehn. In terms of extremely high daily maximum temperature, the di¤erence between the present-day and future climates during August is relatively large over the Tama area, west of Tokyo. Although the foehn phenomenon is not solely responsible for the projected changes, the phenomenon can explain the projected changes when westerly winds prevail over the Tama area, located on the lee side of the Kanto Mountains.

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On the Warming Events over Toyama Plain by Using NHRCM

Cited by 29 publications

References 8 publications

Improved Performance of Simulated Japanese Climate with a Multi-Model Ensemble

Improved Performance of Simulated Japanese Climate with a Multi-Model Ensemble

The JMA Nonhydrostatic Model and Its Applications to Operation and Research

Summertime Temperature Extremes over Japan in the Late 21st Century Projected by a High-Resolution Regional Climate Model

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