New measurements of snowflake scattering and microstructure using a novel Multi-Wavelength, Multi-Angle Scatterometer (MuWMAS)

在高纬度地区，落在地球表面的大部分降水是雪。对降雪量的定量测量和预报很重要，因为大雪会扰乱交通和电力基础设施，雪的状况对自然生态系统、农业和旅游业的健康很重要，雪是水文循环的重要组成部分。然而，并不是所有的雪都落在地上。在中纬度地区(如英国)，我们的大部分降水是以雨的形式落下的：大部分降雨实际上起源于更高层大气中的雪花，它们落到地球上时会融化。云中的雪花也很重要，因为它们强烈地影响着地球的气候。我们需要能够定量地测量雪花的微观物理性质，在计算机模型中真实地模拟冰相过程，并“同化”受雪花影响的遥感卫星数据，以更好地初始化数值天气预报模型，进而改进预报。对这些应用至关重要的是雪花出了名的复杂和高度可变的几何形状或“微结构”。这种微结构控制着雪花散射电磁波的方式；这些信息对于解释和利用遥感测量进行研究和初始预报至关重要。关于雪花的形状和微结构的模型范围不断扩大，有许多由各种数值算法或模型生成的雪花散射特性的数据库，每一种都基于对粒子性质或产生它们的物理过程的不同假设。我们想要回答的问题是：(1)这些模型中的哪个(如果有的话)是正确的？以及(2)给定的模型在什么条件下是现实的表示，在什么条件下它不合格？我们的项目是一个独特的实验，它将使我们能够回答这些问题。该方案的目的是通过开发和开发多波长、多角度散射仪(MuWMAS)来限制这些散射特性和微结构信息，MuWMAS是一种新的地面仪器，可以用毫米和亚毫米电磁波原位照射自然落下的雪花。雪花将其中一些波散射到由5个不同角度的探测器组成的阵列。我们将使用这些数据直接测试当前最先进的雪花散射特性模型，理论表明，这也对这些颗粒的微观结构提供了直接约束。此外，通过水平和垂直偏振采样，我们将能够测试雪花取向的理论，并推断这对雪的遥感的影响。MuWMAS将是一种可靠的自动化仪器，提供经过校准的准确数据。我们将把它部署到高纬度(62 N)的野外地点，那里降雪频繁，并配备了良好的附加仪器(光学成像探头、雷达、激光雷达等)。这可以帮助我们更深入地解释我们的结果。MuWMAS将在不同的降雪量下，在两个冬季连续对该地点的雪花进行采样，使我们能够研究不同的微物理过程和生长条件对雪花的散布和微结构特性的影响。最后，我们将利用我们关于散射模型和数据库准确性(或其他)的结果来改进气象部门(如气象局)使用的雪花散射的表示。这将加强对用于初始化气象模式的卫星测量的同化，并最终产生更好的天气预报。对雪花散射的更好的理解还将导致从将于2024年发射的冰云成像仪等卫星上更准确地从操作中提取冰的属性。

At high latitudes the majority of precipitation falling at the earth's surface is snow. Quantitative measurements and forecasting of snow precipitation is important because heavy snow can disrupt transport and electricity infrastructure, snow conditions are important for the health of natural ecosystems, agriculture and tourism, and snow is an essential part of the hydrological cycle. However, not all snow falls at the ground. In the mid-latitudes (like the UK), most of our precipitation falls as rain: the majority of that rain actually originates as snowflakes higher up in the atmosphere that melt as they fall to earth. Snowflakes in clouds are also important as they strongly affect the earth's climate. We need to be able to quantitatively measure the microphysical properties of snowflakes, realistically simulate ice-phase processes in computer models, and "assimilate" remote sensing satellite data affected by snowflakes to betterinitialise numerical weather prediction models and, in turn, improve forecasts. Essential to these applications is the famously complex and highly variable geometry, or "microstructure", of the snowflakes. This microstructure controls the way that snowflakes scatter electromagnetic waves; information that is vital to interpreting and exploiting remote sensing measurements for research and for initialising forecasts. There is an ever-expanding range of models for the shape and microstructure of snowflakes, with numerous databases of scattering properties for snowflakes generated by various numerical algorithms or models, each based on different assumptions about the nature of the particles or the physical processes that generated them. The questions we wish to answer are: (1) which, if any, of these models is right?, and (2) under what conditions is a given model a realistic representation and under what conditions does it fail? Our project is a unique experiment which will allow us to answer these questions. The aim of this proposal is to constrain those scattering properties and microstructure information by developing and exploiting a Multi-Wavelength, Multi-Angle Scatterometer (MuWMAS), a novel ground-based instrument which illuminates natural falling snowflakes in-situ with millimetre and sub-millimetre electromagnetic waves. The snowflakes scatter some of these waves to an array of 5 detectors at different angles. We will use the data to directly test current state-of-the-art models for the scattering properties of snowflakes, and theory shows us that this also provides a direct constraint on the microstructure of those particles. Furthermore, by sampling at both horizontal and vertical polarisations we will be able to test theories of snowflake orientation and deduce the impact of this on the remote sensing of snow. MuWMAS will be a reliable, automated instrument, providing calibrated accurate data. We will deploy it to a high-latitude (62 N) field site where there is frequent snowfall and which is well equipped with additional instrumentation (optical imaging probes, radars, lidars etc.) that can help us interpret our results in greater depth. MuWMAS will sample snowflakes at this site continuously over two winter seasons in a variety of snowfalls, allowing us to investigate the influence of different microphysical processes and growth conditions on the scattering and microstructure properties of the snowflakes. Finally, we will use our results on the accuracy (or otherwise) of scattering models and databases to improve the representation of snowflake scattering to be used by meteorological services, such as the Met Office. This will enhance the assimilation of satellite measurements used to initialise meteorological models and ultimately lead to better weather forecasts. The improved understanding of snowflake scattering will also lead to more accurate operational "retrievals" of ice properties from satellites like the Ice Cloud Imager due to be launched in 2024.