Articles | Volume 17, issue 14
https://doi.org/10.5194/gmd-17-5657-2024
https://doi.org/10.5194/gmd-17-5657-2024
Development and technical paper
 | 
26 Jul 2024
Development and technical paper |  | 26 Jul 2024

ZJU-AERO V0.5: an Accurate and Efficient Radar Operator designed for CMA-GFS/MESO with the capability to simulate non-spherical hydrometeors

Hejun Xie, Lei Bi, and Wei Han

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Cited articles

Abel, S. and Boutle, I.: An improved representation of the raindrop size distribution for single-moment microphysics schemes, Q. J. Roy. Meteor. Soc., 138, 2151–2162, 2012. 
Bárdossy, A. and Das, T.: Influence of rainfall observation network on model calibration and application, Hydrol. Earth Syst. Sci., 12, 77–89, https://doi.org/10.5194/hess-12-77-2008, 2008. 
Bi, L. and Yang, P.: Accurate simulation of the optical properties of atmospheric ice crystals with the invariant imbedding T-matrix method, J. Quant. Spectrosc. Ra., 138, 17–35, 2014. 
Bi, L., Yang, P., Kattawar, G. W., and Mishchenko, M. I.: Efficient implementation of the invariant imbedding T-matrix method and the separation of variables method applied to large nonspherical inhomogeneous particles, J. Quant. Spectrosc. Ra., 116, 169–183, 2013. 
Bi, L., Wang, Z., Han, W., Li, W., and Zhang, X.: Computation of optical properties of core-shell super-spheroids using a GPU implementation of the invariant imbedding T-matrix method, Frontiers in Remote Sensing, 3, 35, https://doi.org/10.3389/frsen.2022.903312, 2022. 
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Short summary
A radar operator plays a crucial role in utilizing radar observations to enhance numerical weather forecasts. However, developing an advanced radar operator is challenging due to various complexities associated with the wave scattering by non-spherical hydrometeors, radar beam propagation, and multiple platforms. In this study, we introduce a novel radar operator named the Accurate and Efficient Radar Operator developed by ZheJiang University (ZJU-AERO) which boasts several unique features.
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