@inproceedings{9c2fcb71405c405dbb5a788f6fa6921f,
title = "Towards a Mass-Consistent Methodology for Realistic Melting Hydrometeor Retrieval",
abstract = "To 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 na{\"i}ve approach and report our findings.",
keywords = "electromagnetic scattering, melting layer, precipitation remote sensing, spaceborne radar",
author = "Kuo, \{Kwo Sen\} and Loftus, \{Adrian M.\} and Olson, \{William S.\} and Schrom, \{Robert S.\} and Johnson, \{Benjamin T.\} and Adams, \{Ian S.\}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 ; Conference date: 26-09-2020 Through 02-10-2020",
year = "2020",
month = sep,
day = "26",
doi = "10.1109/IGARSS39084.2020.9324537",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5469--5472",
booktitle = "2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings",
address = "United States",
}