Evaluating the ALADIN-climate model reanalysis over Central Europe

IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Romana Beranová , Michal Belda , Radmila Brožková , Lucie Pokorná , Jana Popová , Zuzana Rulfová , Zbyněk Sokol
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Abstract

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.
评估 ALADIN-中欧气候模型再分析
再分析是一种成熟的大气状态监测工具。这项研究旨在验证欧洲上空的 ALADIN-气候(AC)模式再分析,重点是中欧。AC 模式基于 ALARO 模式配置,属于对流允许模式。其水平分辨率为 2.3 千米。我们评估了长达 25 年的时间(1990-2014 年),并利用欧洲上空的地面气象数据进行了验证,以评估 AC 模式模拟温度、降水、相对湿度、风速和全球辐射的能力。AC 模式再分析倾向于高估日最低气温和低估日最高气温,夏季观测到的差异更大。冬季降水总量被高估了近 50%,部分原因是高估了潮湿天数,而夏季降水量被高估的程度较小(13%)。冬季整个模式域的相对湿度一直被高估,而夏季则不尽相同。风速在夏季和冬季都被高估,全球辐射也被高估,尤其是在冬季。虽然某些变量(如冬季降水量)存在明显偏差,但 AC 模式再分析与站点数据之间的总体差异与其他再分析(如 CERRA 和 ERA5)是一致的。AC 模式再分析的偏差不仅是由模式的不完善和误差造成的,也是由测站潜在的系统误差造成的。鉴于其较高的空间分辨率,AC 区域再分析为进一步研究中欧气候提供了宝贵的资料来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Atmospheric Research
Atmospheric Research 地学-气象与大气科学
CiteScore
9.40
自引率
10.90%
发文量
460
审稿时长
47 days
期刊介绍: The journal publishes scientific papers (research papers, review articles, letters and notes) dealing with the part of the atmosphere where meteorological events occur. Attention is given to all processes extending from the earth surface to the tropopause, but special emphasis continues to be devoted to the physics of clouds, mesoscale meteorology and air pollution, i.e. atmospheric aerosols; microphysical processes; cloud dynamics and thermodynamics; numerical simulation, climatology, climate change and weather modification.
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