Ice clouds play a significant role in energy budget of the earth-atmosphere system, and they also participate in global hydrological cycle. Thick ice clouds which are associated with precipitation transfer energy and water between the atmosphere and the earth. The net effects of ice clouds on the earth-atmosphere system highly depend on their microphysical properties. However, the complex and variable structure of ice clouds makes it difficult to capture them well in models. The oversimplified microphysical properties of ice clouds in retrievals introduce significant uncertainties in weather and climate studies.
The knowledge on the orientation of ice particles is very limited. The orientation of frozen hydrometeors which induces polarization signatures determines the magnitude of polarized signals. In order to investigate the potential polarized signatures induced by the oriented frozen hydrometeors, ground-based polarization observations have been performed at “Umweltforschungsstation Schneefernerhaus” (UFS) on Mount Zugspitze (German Alps) at 2650 m above sea level. In this study, the polarization observations carried out by a ground-based dual polarized microwave radiometer (DPR) at 150 GHz are investigated together with auxiliary instruments deployed at UFS, i.e., a second microwave radiometer (HATPRO) and a K-band micro rain radar (MRR). HATPRO measures liquid water path (LWP) and integrated water vapor (IWV) during snowfall, and MRR operating at 24.1 GHz provides indirect snow water path (SWP) information.
Based on the observations, the analysis of a single snow case and one-year snowfall data show that the brightness temperature (TB) differences between the vertical and horizontal polarizations reach up to −10 K at an elevation angle of 34.8^o during snowfall. The polarized signals during snowfall can be explained well by the occurrence of oriented snow particles. The analysis of the synergic observations shows the effects of snowfall parameters on polarization differences (PDs) observed with DPR at 150 GHz. The dependencies of the measured PD and TB on MRR integrated radar reflectivity and independently derived LWP are discussed. It shows that the high SWP indicated by high values of MRR integrated reflectivity enhances both TB and PD due to the scattering effects of snow particles. Meanwhile, TBs are found to be enhanced during snowfall when supercooled liquid water is present, while PD resulting from oriented snow particles is damped by the increase of LWP. The polarization observations support the potential role of polarization measurements in improving retrievals of snowfall microphysical parameters.
To evaluate the effects of SWP and LWP on PD and TB, radiative transfer (RT) simulations assuming horizontally aligned snow oblates using a polarized RT model have been performed. PD and TB observations can be captured well by the RT model with given reasonable assumptions on the microphysical parameters of oriented snow oblates. Additionally, the uncertainties of PD and TB caused by snow microphysical properties are fully examined in the RT simulations. The “damping (enhancing)” effects of supercooled liquid water on PD (TB) are further interpreted by a simple physical model where the height of cloud liquid varies with respect to the dichroic snow layer. From the ground-based observations, it is found that PD resulting from oriented snow particles is absorbed by supercooled liquid below snow layers. When supercooled liquid water is located above snow layers, PD is damped since it is compensated by the emission of supercooled liquid water penetrating the snow layer. TB is generally enhanced by the presence of LWP: the warmer the supercooled liquid water, the larger the TB.
The polarization observations promote the design of new instruments further. Under an assumption that ice particles are oriented, RT simulations are performed for the space-borne satellite FengYun-4 (FY-4) channels to examine polarization information content for ice cloud characterization. The results show that polarization can be beneficial for ice cloud retrievals and additional information can be provided by polarized signals to quantify ice cloud parameters, especially at high frequency channels. Therefore, the present work strongly suggests the deployment of microwave polarization channels for ice cloud observations
