A miniature Atmospheric Particle Classifier (APC)

在估算气候对自然或人为变化的敏感性方面，最大的不确定性来源仍然是云（IPCC 2001，2007）。这种不确定性的大部分原因是缺乏与较小的云粒子（水滴、冰晶）和气溶胶的特性有关的信息。这些粒子直接和间接地影响了云层反射回太空的阳光（即：冷却地球）以及来自地球的红外线或热辐射被捕获（即：使地球变暖）。因此，气候科学家需要关于这些不同类型的大气颗粒物的大小、形状和丰度的准确信息，以便预测云的性质对我们未来气候的影响。云微观物理学家可以使用几种类型的现场仪器来计数和测量亚微米大小的大气颗粒，而其他仪器可以捕获更大的单个颗粒的真实的图像。这种图像特别有价值，因为它们提供了详细的颗粒形状数据，但仪器光学像差和景深限制导致图像模糊，将这种成像技术限制在尺寸大于~ 25 μ m的颗粒上。最大的知识缺乏，因此可能是最大的不确定性来源，围绕着较小的颗粒，如尺寸小到一微米的冰晶，远低于云粒子成像探测器的分辨率极限。另一种可以提供关于这些较小的云粒子的详细信息的方法是空间光散射，其中记录和分析通过激光束的单个粒子散射的光的独特图案。在过去，赫特福德大学已经开发了几种类型的飞机仪器的基础上空间光散射（所谓的SID探头），这些已采购的气象研究机构在美国，英国和欧洲。然而，SID探测器很大（每个都需要一个“PMS”机翼安装罐）和昂贵（> 80 k英镑）。这限制了它们的部署，只有相对较少的携带PMS罐的研究飞机（在这种情况下，对这种罐的竞争通常很激烈）。因此，这个概念验证提案试图通过开发一种小型、低成本（<3 k英镑）和重量轻（<1 kg）的“微型SID”传感器来解决这个问题，该传感器被称为大气颗粒物分类器。APC将利用为大众消费市场（如DVD R/RW播放器、安全系统等）开发的二极管激光器和探测器阵列技术的最新重大技术进步。以实现与前代SID探头相似的性能，但成本、尺寸和重量仅为前代SID探头的一小部分。先进粒子探测器将以每秒数千的速度对小至微米大小的大气粒子进行计数、测量和分类，根据形状区分液滴、固体气溶胶和冰晶，并确定每个粒子的消光系数（了解云辐射特性的一个重要参数）。传感器将足够小，可以由气球或无人机携带，或者是单个PMS罐中的组合探头的一部分（可能释放其他PMS安装件）。它可能由民用客机携带，从而产生巨大的云数据源。除此之外，APC还可以在环境健康、污染监测等领域的一般气溶胶监测（见“受益者”）中找到更广泛的应用，其中气溶胶的组成颗粒类型的知识是必要的。APC传感器将在UH建造和测试，性能验证和校准由曼彻斯特大学在他们的云模拟室进行。完成的APC将通过NERC的地基大气测量设施（FGAM）供所有英国科学界使用。

The single greatest source of uncertainty in the estimates of climate sensitivity to either natural or man-made changes continues to be clouds (IPCC 2001, 2007). Much of this uncertainty arises from the lack of information relating to the properties of smaller cloud particles (droplets, ice crystals) and aerosol. These particles directly and indirectly affect how much sunlight the clouds reflect back into space (ie: cooling the Earth) and how much infrared or heat radiation from the Earth's is trapped (ie: warming the Earth). Climate scientists therefore need accurate information on the sizes, shape, and abundance of these different types of atmospheric particle so that the effect of cloud properties on our future climate can be predicted. Cloud microphysicists have at their disposal several types of in-situ instrument for counting and sizing atmospheric particles down to sub-micrometre sizes, whilst other instruments can capture real images of larger individual particles. Such images are especially valuable as they provide detailed particle shape data, but instrument optical aberrations and depth of field limitations result in image blurring, restricting such imaging techniques to particles greater than ~25um in size. The greatest lack of knowledge, and therefore potentially the greatest source of uncertainty, surrounds smaller particles, such as ice crystals down to a micrometre in size, well below the resolution limits of cloud particle imaging probes. An alternative approach that can provide detailed information on these smaller cloud particles is that of spatial light scattering, in which the unique patterns of light scattered by individual particles passing through a laser beam is recorded and analysed. In the past, the University of Hertfordshire has developed several types of aircraft instrument based on spatial light scattering (so called SID probes) and these have been procured by meteorological research organisations in the USA, UK, and Europe. However, SID probes are large (each requiring a 'PMS' wing-mounted canister) and expensive (>£80k). This limits their deployment to the relatively small numbers of research aircraft that carry PMS canisters (and where competition for such canisters is normally intense). This Proof-of-Concept proposal therefore seeks to address this by developing a small, low-cost (<£3k) and light-weight (<1kg) 'miniature SID' sensor, referred to as the Atmospheric particle Classifier. The APC would exploit recent major technological advances in diode laser and detector array technologies developed for mass consumer markets (such as DVD R/RW players, security systems, etc.) to achieve similar performance to the predecessor SID probes but at a small fraction of the cost, size and weight. The APC would count, size and classify atmospheric particles down to micrometre sizes at rates of several thousand per second, differentiating droplets, solid aerosol, and ice crystals on the basis of shape and determining the extinction coefficient of each particle (an important parameter in understanding cloud radiative properties). The sensor would be small enough to be borne by balloon or UAV, or to be part of a combination probe in a single PMS canister (potentially freeing other PMS mountings). It could potentially be carried by civilian passenger aircraft, thus generating a huge source of cloud data. Beyond this, the APC could also find wider application in general aerosol monitoring (see 'Beneficiaries') in areas of environmental health, pollution monitoring, etc., where a knowledge of the aerosol's constituent particle types is essential. The APC sensor would built and tested at UH, with performance validation and calibration being carried out by the University of Manchester in their cloud simulation chamber. The finished APC would become available for use by all of the UK science community through NERC's Facility for Ground-based Atmospheric Measurement (FGAM).