Kuo, Kwo-SenLoftus, Adrian MOlson, William SSchrom, Robert SJohnson, Benjamin TAdams, Ian S2021-03-102021-03-102021-02-17K. -S. Kuo, A. M. Loftus, W. S. Olson, R. S. Schrom, B. T. Johnson and I. S. Adams, "Towards a Mass-Consistent Methodology for Realistic Melting Hydrometeor Retrieval," IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA, 2020, pp. 5469-5472, doi: 10.1109/IGARSS39084.2020.9324537.https://doi.org/10.1109/IGARSS39084.2020.9324537http://hdl.handle.net/11603/21148IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 26 Sept.-2 Oct. 2020, Waikoloa, HI, USATo address the acute challenge posed by the melting layer to accurate surface precipitation retrievals from space, we ensure the compositional consistency in ice, liquid, and total masses of synthetic melting hydrometeors with a method of stochastic compensation. The method is applied to simulated melting hydrometeors prior to calculating their scattering properties using the discrete dipole approximation (DDA). We investigate the impact of this stochastic compensation to calculated scattering properties by contrasting it with a naïve approach and report our findings.4 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.Public Domain Mark 1.0This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.http://creativecommons.org/publicdomain/mark/1.0/Text