Articles | Volume 14, issue 2
https://doi.org/10.5194/amt-14-869-2021
https://doi.org/10.5194/amt-14-869-2021
Research article
 | 
04 Feb 2021
Research article |  | 04 Feb 2021

What millimeter-wavelength radar reflectivity reveals about snowfall: an information-centric analysis

Norman B. Wood and Tristan S. L'Ecuyer

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Cited articles

Bharadwaj, N., Lindenmaier, A., Widener, K. B., Johnson, K. L., and Venkatesh, V.: Ka-band ARM zenith profiling radar (KAZR) network for climate study, 36th Conf. on Radar Meteorology, Breckenridge, Colorado, USA, 16–20 September 2013, Am. Meteorol. Soc., 14A.8, available at: https://ams.confex.com/ams/36Radar/webprogram/Manuscript/Paper228620/14A8_ams_radconf_kazr.pdf (last access: 15 April 2020), 2013. a
Boggs, P. T., Byrd, R. H., Rogers, J. E., and Schnabel, R. B.: User's reference guide for ODRPACK version 2.01 software for weighted orthogonal distance regression, U. S. Department of Commerce, National Institute of Standards and Technology, Applied Computational Mathematics Division, Gaithersburg, MD, USA, NISTIR 92-4834, 99 pp., 1992. a
Braham, Jr., R. R.: Snow particle spectra in lake effect snows, J. Appl. Meteorol., 29, 200–207, 1990. a, b, c
Brandes, E. A., Ikeda, K., Zhang, G., Schoenhuber, M., and Rasmussen, R. M.: A statistical and physical description of hydrometeor distributions in Colorado snowstorms using a video disdrometer, J. Appl. Meteorol. Clim., 46, 634–650, https://doi.org/10.1175/JAM2489.1, 2007. a, b, c, d
Chandrasekar, V., Joshil, S. S., Kumar, M., Vega, M. A., Wolff, D., and Petersen, W.: Snowfall observations during the Winter Olympics of 2018 campaign using the D3R radar, IGARSS 2019: 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 28 July–2 August 2019, 4561–4564, 2019. a
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Short summary
Although millimeter-wavelength radar reflectivity observations are used to investigate snowfall properties, their ability to constrain specific properties has not been well-quantified. An information-focused retrieval method shows how well snowfall properties, including rate and size distribution, are constrained by reflectivity. Sources of uncertainty in snowfall rate are dominated by uncertainties in the retrieved size distribution properties rather than by other retrieval assumptions.
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