Simulating Dropsondes to Assess Moist Static Energy Variability in Tropical Cyclones
Simulating Dropsondes to Assess Moist Static Energy Variability in Tropical Cyclones
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DOI：
10.1029/2022gl099101
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发表时间：
2022-07
影响因子：
5.2
通讯作者：
Jacob D. Carstens;A. Wing
中科院分区：
文献类型：
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作者：
Jacob D. Carstens;A. Wing
云，水蒸气，辐射和循环之间的相互作用会影响热带气旋（TC）的发展，可以通过理解潮湿静态能量的空间方差（MSE）的趋势来量化这些相互作用。 MSE在良好的垂直分辨率上，可能有助于分析原位TC上的这些反馈。深度取决于侦察任务的类型检查捕获完整大气的MSE变异所需的列深度。在不同结构和强度的TC中的具有糖尿病反馈。
Interactions between clouds, water vapor, radiation, and circulation influence tropical cyclone (TC) development. Many of these interactions can be quantified by understanding tendencies of the spatial variance of moist static energy (MSE). Dropsondes from aircraft reconnaissance sample profiles needed to compute MSE at fine vertical resolution, and may be useful in analyzing these feedbacks on TCs in situ. However, dropsondes are spatially sparse, and sample limited column depths depending on the type of reconnaissance mission. We use idealized convection‐permitting simulations to examine how MSE variability, and the feedbacks that influence it, are resolved using selected patterns of grid points meant to resemble dropsonde launch points in reconnaissance flight patterns. We first examine the column depth necessary to capture the MSE variability of the full atmosphere. We then study how these simulated flight patterns depict MSE variance and its relevant diabatic feedbacks in TCs of varying structure and intensity.