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High-resolution dynamical downscaling of ERA-Interim using the WRF regional climate model for the area of Poland. Part 1: Model configuration and statistical evaluation for the 1981–2010 period

机译:使用WRF区域气候模型为波兰地区进行ERa-Interim的高分辨率动态降尺度调整。第1部分:1981 - 2010年期间的模型配置和统计评估

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摘要

In this work, we present the results of high-resolution dynamical downscaling of air temperature, relative humidity, wind speed and direction, for the area of Poland, with the Weather Research and Forecasting (WRF) model. The model is configured using three nested domains, with spatial resolution of 45 km × 45 km, 15 km × 15 km and 5 km × 5 km. The ERA-Interim database is used for boundary conditions. The results are evaluated by comparison with station measurements for the period 1981–2010. The model is capable of reproducing the main climatological features of the study area. The results are in very close agreement with the measurements, especially for the air temperature. For all four meteorological variables, the model performance captures seasonal and daily cycles. For the air temperature and winter season, the model underestimates the measurements. For summer, the model shows higher values, compared with the measurements. The opposite is the case for relative humidity. There is a strong diurnal pattern in mean error, which changes seasonally. The agreement with the measurements is worse for the seashore and mountain areas, which suggests that the 5 km × 5 km grid might still have an insufficient spatial resolution. There is no statistically significant temporal trend in the model performance. The larger year-to-year changes in the model performance, e.g. for the years 1982 and 2010 for the air temperature should therefore be linked with the natural variability of meteorological conditions.
机译:在这项工作中,我们使用天气研究和预报(WRF)模型介绍了波兰地区空气温度,相对湿度,风速和风向的高分辨率动态降尺度结果。该模型使用三个嵌套域进行配置,其空间分辨率分别为45 km×45 km,15 km×15 km和5 km×5 km。 ERA-Interim数据库用于边界条件。通过与1981-2010年期间的站点测量结果进行比较来评估结果。该模型能够再现研究区域的主要气候特征。结果与测量值非常吻合,尤其是在空气温度方面。对于所有四个气象变量,模型性能均捕获季节和每日周期。对于气温和冬季,该模型低估了测量值。在夏季,与测量值相比,该模型显示出更高的值。相对湿度则相反。平均误差有很强的昼夜规律,随季节变化。在海边和山区,与测量值的一致性更差,这表明5 km×5 km的网格仍可能具有不足的空间分辨率。模型性能没有统计上显着的时间趋势。模型性能的逐年较大变化,例如因此,1982年和2010年的气温应该与气象条件的自然变化联系起来。

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