Reanalysis is a well-established tool for monitoring the state of the atmosphere. This study aims at validating the ALADIN-Climate (AC) model reanalysis over Europe with a focus on Central Europe. The AC model is based on the ALARO model configuration and belongs to convection permitting models. Its horizontal resolution is 2.3 km. We evaluated a 25-year long period (1990–2014) and we performed the validation process using measurements from ground-based meteorological data over Europe to assess the ability of the AC model to simulate temperature, precipitation, relative humidity, wind speed, and global radiation. The AC model reanalysis tends to overestimate minimum daily temperature and underestimate maximum daily temperature, with larger differences observed during summer. Winter precipitation totals are overestimated by nearly 50 %, partly due to an overestimation of wet days, while summer precipitation is less overestimated (by 13 %). Relative humidity is consistently overestimated across the model domain in winter, whereas in summer it is variable. Wind speed is overestimated in both summer and winter, and global radiation is also overestimated, especially in winter. Although some variables, like winter precipitation, exhibit significant biases, the overall differences between the AC model reanalysis and station data are consistent with other reanalyses, such as CERRA and ERA5. Biases in the AC model reanalysis are not only caused by the model's imperfections and errors, but also by potential systematic errors at measuring stations. Given its high spatial resolution, this AC regional reanalysis offers a valuable source for further climate studies in Central Europe.

中文翻译：

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评估中欧的 ALADIN 气候模型再分析


再分析是监测大气状态的成熟工具。本研究旨在验证欧洲的 ALADIN-Climate （AC） 模型再分析，重点是中欧。AC 模型基于 ALARO 模型配置，属于允许对流模型。其水平分辨率为 2.3 公里。我们评估了 25 年的漫长时期（1990-2014 年），并使用欧洲地面气象数据的测量值执行验证过程，以评估 AC 模型模拟温度、降水、相对湿度、风速和全球辐射的能力。AC 模型再分析倾向于高估最低日气温，低估最高日气温，夏季观察到的差异更大。冬季降水总量被高估了近 50%，部分原因是高估了雨天，而夏季降水量被高估了 13%。冬季，整个模型域的相对湿度一直被高估，而在夏季，相对湿度是可变的。夏季和冬季的风速都被高估了，全球辐射也被高估了，尤其是在冬季。尽管一些变量（如冬季降水）表现出显著的偏差，但 AC 模型再分析和站点数据之间的总体差异与其他再分析（如 CERRA 和 ERA5）一致。AC 模型再分析中的偏差不仅是由模型的缺陷和误差引起的，而且是由测量站的潜在系统误差引起的。鉴于其高空间分辨率，这种 AC 区域再分析为中欧的进一步气候研究提供了有价值的来源。