Characterization of medicanes with a minimal number of geopotential levels,International Journal of Climatology

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Characterization of medicanes with a minimal number of geopotential levels
International Journal of Climatology ( IF 3.5 ) Pub Date : 2021-01-21 , DOI: 10.1002/joc.7020
Alba Vara _{1,

2} , Jesús Gutiérrez‐Fernández ₁ , Juan Jesús González‐Alemán ₃ , Miguel Á. Gaertner ₄

Affiliation

Medicanes are tropical‐like cyclones that develop in the Mediterranean Sea. Due to their harmful potential, the study of medicanes has captured great attention from the scientific community. In the context of a changing climate, their future climatological characterization can only be achieved using climate model output. A frequently used method to characterize the thermal structure of medicanes is the cyclone phase space (CPS) described by Hart (2003). This requires geopotential data from 300 to 900 hPa every 50 hPa. However, in long, high‐resolution climate simulations, model output requires very high storage space and only data from a few geopotential levels are saved. To overcome the lack of geopotential data at some levels, available data are vertically interpolated to obtain data for the 13 levels required. In this work, we use high horizontal resolution data from the ERA‐5 reanalysis (1979–2018) to analyse the climatology of medicanes simulated using the 13 vertical levels required according to Hart (2003), as well as different combinations of geopotential data from a few selected levels. Our results allow us to propose, for the first time, a limited set of recommended geopotential levels required for an adequate climatological characterization of medicanes in the perspective of long climate change simulations, taking into account the associated limitations of output data storage.

中文翻译：

以最小数量的地势水平表征药物

Medicanes是在地中海发展的热带气旋。由于其潜在的危害，对医学的研究引起了科学界的极大关注。在气候变化的情况下，只能使用气候模型输出来实现其未来的气候特征。Hart（2003）描述的一种常用的表征药物热结构的方法是旋风相空间（CPS）。这需要每50 hPa 300至900 hPa的地势数据。但是，在长期的高分辨率气候模拟中，模型输出需要很高的存储空间，并且仅会保存来自几个地势水平的数据。为了克服某些级别缺乏地势数据的情况，垂直插补了可用数据以获得所需13个级别的数据。在这项工作中，我们使用ERA-5重新分析（1979-2018）的高水平分辨率数据来分析使用根据Hart（2003）所需的13个垂直水平模拟的药物的气候学，以及一些选定水平的地势数据的不同组合。我们的结果使我们首次提出了一组有限的建议地势水平，以长期气候变化模拟的角度来考虑对药物进行充分的气候特征，同时考虑到输出数据存储的相关局限性。

更新日期：2021-01-21

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