Since the BioDAR Team first came together in 2016, there have been a lot of conversations, a lot of coding sessions, and a lot of exciting findings. The grants, fellowships, and PhD studentships that have resulted from that initial conversation have borne a variety of fruits. You can find out more below:
Addison, FI, Dally, TD, Duncan, EJ, Rouse, J, Evans, W., Hassall, C, Neely III, RR (accepted) Simulation of the radar cross section of a noctuid moth. Remote Sensing.
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Electromagnetic modelling may be used as a tool for understanding the radar cross-section (RCS) of volant animals. Here we examine this emerging method in detail and delve deeper into the specifics of the modelling process for a single noctuid moth with the hope of illuminating the importance of different aspects of the process by varying the morphometric and compositional properties of the model. This was accomplished by creating a high-fidelity three-dimensional in-sect model by micro-CT scanning a gold-palladium coated insect. Electromagnetic simulations of the insect model were conducted by applying different morphological and compositional configuration. The simulations results show that high-resolution modelling of insects has advantages compared to the simple ellipsoidal models used in previous studies. We find that the inclusion of wings and separating the composition of the body, wings, and legs and antennae has an impact on the resulting RCS of the specimen. Such modifications to the RCS are missed when a prolate spheroid model is used and should not be ignored in future studies. Finally, this methodology has been shown to be useful in exploring the changes RCS that result from variations in specimen size. As such, utilising this methodology further for more species will improve the ability to quantitatively interpret aeroecological observations of weather surveillance radars and special-purpose entomological radars.
2021. Hydrometeor classification of quasi-vertical profiles of polarimetric radar measurements using a top-down iterative hierarchical clustering method. Atmospheric Measurement Techniques. 14(2), pp. 1075-1098.
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Correct, timely and meaningful interpretation of polarimetric weather radar observations requires an accurate understanding of hydrometeors and their associated microphysical processes along with well-developed techniques that automatize their recognition in both the spatial and temporal dimensions of the data. This study presents a novel technique for identifying different types of hydrometeors from quasi-vertical profiles (QVPs). In this new technique, the hydrometeor types are identified as clusters belonging to a hierarchical structure. The number of different hydrometeor types in the data is not predefined, and the method obtains the optimal number of clusters through a recursive process. The optimal clustering is then used to label the original data. Initial results using observations from the National Centre for Atmospheric Science (NCAS) X-band dualpolarization Doppler weather radar (NXPol) show that the technique provides stable and consistent results. Comparison with available airborne in situ measurements also indicates the value of this novel method for providing a physical delineation of radar observations. Although this demonstration uses NXPol data, the technique is generally applicable to similar multivariate data from other radar observations.
Weather, Whether Radar: Plume of the Volants (Redell Olsen)
Redell Olsen joined the BioDAR Project through a DARE Art Prize Fellowship and has been working with us for a couple of years. Dell actually managed to get the second output out of the BioDAR collaboration: this fantastic virtual exhibition of spoken word, music, visual art, and poetry that were inspired by insects and radar. More details can be found at https://weatherwhetherradar.art/