Spatio-Temporal Gravity-Wave-Source Variability (SV)

MS-GWaves研究小组的“震源可变性(SV)”项目的目标是了解重力波源(GW)在塑造全球重力波源分布中的作用。为此，我们将观测和建模相结合。观察代表了现实。然而，为了获得理解，我们需要一个理论，为了定量地理解，需要一个过程模型来阐述我们的概念，并根据观察结果进行测试。因此，在SV中比较了三组不同的全局分布：1)GW源模型和GW传播模型的组合，2.GWS由UA图标GCM和3解析。)来自各种卫星的遥感观测。通过将GW源模式的分布与观测相结合，我们一方面可以确定模式的自由参数，另一方面可以评估GW动量通量(GWMF)和对主环流施加的阻力在哪些高度、地区和季节占主导地位。随着分辨率的提高，UA-ICON(参见GWING(GWING：行情)解决了GW频谱的更大部分。这些分布是否真实，通过与卫星观测进行比较来检验。ICON中的源可以通过追溯GWS到潜在的源过程以及通过与专用源模型进行比较来识别。这使我们能够诊断偏差的原因并制定改进策略。特别关注地形和自发性失衡(SI)的相互作用：在GW-LCycle活动期间，使用肢体成像仪Gloria进行了独特的3D温度测量。在几次研究飞行中，我们有迹象表明这两种潜在的来源机制之间存在相互作用。在SV进行的所有测量和模型比较都将考虑观测技术的完全观测滤波。观测滤波量化了每种观测技术只覆盖一部分海浪频谱的影响，特别是现在的全球观测低估了GWMF，甚至在频谱的已分辨部分也是如此。在进行比较时，我们考虑了GWMF的平均值及其随季节、地区和海拔的变化，以及GWS的间歇性，即大小波事件的频率分布。在ICON的所有分辨率下，我们的目标是通过分解波或通过将震源耦合到传播模型MS-GWaM的参数化来实现GWS的真实表示。MS-GWaM是在3DMSD项目中开发并集成到ICON中的。MS-GWAM的一个特别优点是能够对直接瞬时交互进行建模。

The goal of the project "Source Variability (SV)" in the MS-GWaves researchers group is to understand the role of gravity wave (GW) sources in shaping the global distribution of GWs. For this we combine observations and modeling. Observations represent reality. However, in order to gain understanding we need a theory and, for quantitative understanding, a process model which formulates our concepts and which is to be tested against the observations. Therefore in SV three different sets of global distributions are compared: 1.) a combination of GW source models and GW propagation, 2.) GWs resolved by the UA-ICON GCM and 3.) remote sensing observations from various satellites. By confronting distributions from GW source models with observations we can on the one hand determine free parameters of the models and, on the other hand, assess at which altitudes, regions and seasons which sources are dominant for GW momentum flux (GWMF) and the drag exerted on the main circulation. With increasing resolution, UA-ICON (cf. GWING) resolves a larger part of the GW spectrum. Whether these distributions are realistic, is tested by comparison versus satellite observations. Sources in ICON can be identified by tracing GWs backwards to potential source processes as well as by comparison to the dedicated source models. This allows us to diagnose the reason for deviations and to develop strategies for improvement. In particular, a focus will be on the interaction of orography and spontaneous imbalance (SI): during the GW-LCycle campaign unique 3D temperature measurments were performed with the limb imager GLORIA. In several research flights we have indication of the interplay of both potential source mechanisms. All comparisons of measurements and models performed in SV will take into account the full observational filter of the observation technique. The observational filter quantifies the effect that every observation technique covers only a part of the wave spectrum and that in particular nowadays global observations underestimate the GWMF even in the resolved part of the spectrum. When performing comparisons we consider mean values of GWMF and its variation by season, region and altitude as well as the intermittency of the GWs, that is the distribution of the frequency of large and small wave events. At all resolutions of ICON we aim at a realistic representation of GWs either by resolved waves or by a parametrization which couples sources to the propagation model MS-GWaM. MS-GWaM was developed and integrated into ICON in the project 3DMSD. A particular strength of MS-GWAM is the ability to model direct transient interaction.