Articles | Volume 10, issue 7
https://doi.org/10.5194/amt-10-2557-2017
https://doi.org/10.5194/amt-10-2557-2017
Research article
 | 
20 Jul 2017
Research article |  | 20 Jul 2017

A variational technique to estimate snowfall rate from coincident radar, snowflake, and fall-speed observations

Steven J. Cooper, Norman B. Wood, and Tristan S. L'Ecuyer

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Cited articles

Auer Jr., A. H. and Veal, D. L.: The dimensions of ice crystals in natural clouds, J. Atmos. Sci., 27, 919–926, 1970.
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, CO, Amer. Meteor., 2013.
Black, R. F.: Precipitation at Barrow, Alaska, greater than recorded, EOS Trans. AGU, 35, 203–207, 1954.
Brown, R., Derksen, C., and Wang, L.: A multi-data set analysis of variability and change in Arctic spring snow cover extent, 1967–2008, J. Geophys. Res., 115, D16111, https://doi.org/10.1029/2010JD013975, 2010.
Brown, R. D.: Northern Hemisphere snow cover variability and change, 1915–1997, J. Climate, 13, 2339–2355, 2000.
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Short summary
Estimates of snowfall rate as derived from radar observations can suffer large uncertainties due to great natural variability in snowflake microphysical properties. We used in situ observations of particle size, shape, and fall speed to refine radar-based estimates of snowfall for five snow events at the ARM Barrow Climate Research Facility. Estimated snowfall amounts agreed well with nearby snow gauge observations and demonstrated significant sensitivity to both particle shape and fall speed.