edu.ucar.opensky::articles:24030 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-25T15:08:49.804093 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7dj5jzf Impact of mass–size parameterizations of frozen hydrometeors on microphysical retrievals: Evaluation by matching radar to in situ observations from GCPEx and OLYMPEx 2020-06-01T00:00:00Z publication https://n2t.org/ark:/85065/d7dj5jzf https://doi.org/10.1175/JTECH-D-19-0104.1 Sy, O. O. author Tanelli, S. author Durden, S. L. author Heymsfield, Andrew J. author Bansemer, Aaron R. author Kuo, K. author Niamsuwan, N. author Beauchamp, R. M. author Chandrasekar, V. author Vega, M. author Johnson, M. P. author UCAR/NCAR - Library publisher This article illustrates how multifrequency radar observations can refine the mass-size parameterization of frozen hydrometeors in scattering models and improve the correlation between the radar observations and in situ measurements of microphysical properties of ice and snow. The data presented in this article were collected during the GPM Cold Season Precipitation Experiment (GCPEx) (2012) and Olympic Mountain Experiment (OLYMPEx) (2015) field campaigns, where the true mass-size relationship was not measured. Starting from size and shape distributions of ice particles measured in situ, scattering models are used to simulate an ensemble of reflectivity factors for various assumed mass-size parameterizations (MSP) of the power-law type. This ensemble is then collocated to airborne and ground-based radar observations, and the MSPs are refined by retaining only those that reproduce the radar observations to a prescribed level of accuracy. A versatile "retrieval dashboard'' is built to jointly analyze the optimal MSPs and associated retrievals. The analysis shows that the optimality of an MSP depends on the physical assumptions made in the scattering simulators. This work confirms also the existence of a relationship between parameters of the optimal MSPs. Through the MSP optimization, the retrievals of ice water content M and mean diameter D-m seem robust to the change in meteorological regime (between GCPEx andOLYMPEx); whereas the retrieval of the diameter spread S-m seems more campaign dependent. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright 2020 American Meteorological Society (AMS). None eng geoscientificInformation