Articles | Volume 8, issue 12
Atmos. Meas. Tech., 8, 5009–5021, 2015
https://doi.org/10.5194/amt-8-5009-2015
Atmos. Meas. Tech., 8, 5009–5021, 2015
https://doi.org/10.5194/amt-8-5009-2015

Research article 01 Dec 2015

Research article | 01 Dec 2015

Intercomparison of snowfall estimates derived from the CloudSat Cloud Profiling Radar and the ground-based weather radar network over Sweden

L. Norin et al.

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Cited articles

Battan, L. J.: Radar Observation of the Atmosphere, University of Chicago Press, Chicago, USA, 324 pp., 1973.
Bech, J., Codina, B., Lorente, J., and Bebbington, D.: The sensitivity of single polarization weather radar beam blockage correction to variability in the vertical refractivity gradient, J. Atmos. Ocean. Tech., 20, 845–855, https://doi.org/10.1175/1520-0426(2003)020<0845:TSOSPW>2.0.CO;2, 2003.
Berg, P., Norin, L., and Olsson, J.: Creation of a high resolution precipitation data set by merging gridded gauge data and radar observations for Sweden, J. Hydrol., https://doi.org/10.1016/j.jhydrol.2015.11, accepted, 2015.
Boening, C., Lebsock, M., Landerer, F., and Stephens, G.: Snowfall-driven mass change on the East Antarctic ice sheet, Geophys. Res. Lett., 39, L21501, https://doi.org/10.1029/2012GL053316, 2012.
Cao, Q., Hong, Y., Chen, S., Gourley, J. J., Zhang, J., and Kirstetter, P. E.: Snowfall detectability of NASA's CloudSat: the first cross-investigation of its 2c-snow-profile product and national multi-sensor mosaic QPE (NMQ) snowfall data, Prog. Electromagn. Res., 148, 55–61, https://doi.org/10.2528/PIER14030405, 2014.
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Short summary
The ability to estimate snowfall accurately is important for both weather and climate applications. In this work we have intercompared snowfall estimates from two observing systems: the space-based Cloud Profiling Radar on board NASA's CloudSat satellite and Swerad, the ground-based Swedish national weather radar network. The intercomparison shows encouraging agreement between these two observing systems despite their different sensitivities and user applications.