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Reproducibility of Regional Climate in Central Japan Using the 4-km Resolution WRF Model

机译：使用4 km分辨率WRF模型的日本中部地区气候的可再现性

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References(13) Cited-By(8) Supplementary materials(5) The present study provides a preliminary evaluation of the WRF model at 4-km horizontal resolution in central Japan with a 5-year control simulation. The results show that the spatial distribution of the annual mean temperature is well reproduced with a bias of +0.6°C. However, the diurnal range is underestimated by 1.8°C, which is mainly caused by an overestimation of the daily minimum temperature from October to April. Additional analyses indicate that there is a statistically significant correlation between the monthly bias and the number of clear sky days in a particular month, which implies the incomplete reproduction of the surface inversion layer at night. The model overestimates the annual precipitation amount averaged over the analysis domain by 7%, compared to the observations. Such a positive bias results from the overestimation of weak precipitation. On the other hand, the model underestimates the frequency of the heavy rainfall. The performance of the WRF model shown in this study is similar to that of the NHRCM (by Sasaki et al. 2008). The results indicate that the WRF model can be used for high resolution, regional climate simulation/projection research for the studied region.
机译：参考文献（13）被引用的文献（8）补充材料（5）本研究对日本中部4 km水平分辨率的WRF模型进行了初步评估，并进行了5年的控制模拟。结果表明，年平均温度的空间分布得到了很好的再现，偏差为+ 0.6°C。但是，白天的范围低估了1.8°C，这主要是由于10月至4月的每日最低温度偏高。进一步的分析表明，在特定月份中，月度偏差与晴朗的天数之间存在统计上的显着相关性，这表明在夜间表面反演层的再现不完全。与观测值相比，该模型高估了分析域平均年降水量7％。这样的正偏差是由于高估了弱降水造成的。另一方面，该模型低估了强降雨的频率。这项研究中显示的WRF模型的性能与NHRCM的性能相似（由Sasaki等人2008年提出）。结果表明，WRF模型可用于所研究区域的高分辨率，区域气候模拟/投影研究。

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