2C-SNOW-PROFILE

CloudSat Product Stats - Algorithm Developer Edition
27 Jan 2015 East Coast Blizzard
The CloudSat Snow Profile product (2C-SNOW-PROFILE) provides estimates of vertical profiles of snowfall rate along with snow size distribution parameters and snow water content for radar reflectivity profiles observed by the CloudSat Cloud Profiling Radar (CPR) which, based on an evaluation of the profile and ancillary data, appear to coincide with snow at the surface. For these profiles, the product also estimates snowfall rate at the surface. Because of ground clutter, the CPR cannot reliably measure reflectivities near the surface. To overcome this limitation, the product algorithm estimates snow properties using a truncated reflectivity profile, terminated somewhat above the surface, then uses the estimated snow properties in the bottom-most portion of the profile to estimate the surface snowfall rate. For the truncated reflectivity profile, profiles of size distribution parameters are retrieved using an optimal estimation algorithm which incorporates a priori information about snow microphysical properties, radar scattering properties, and size distribution parameters. Retrievals are performed only for profiles which appear likely to contain snow at the surface, either dry snow or snow with a small melted mass fraction. The retrieved size distribution parameter profiles and the a priori information are then used to calculate profiles of snowfall rates and snow water contents. The optimal estimation method produces uncertainty estimates for the retrieved size distribution parameters, and these uncertainties are then used to estimate uncertainties for the snowfall rates and snow water contents.
 

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2C-SNOW-PROFILE Related Publications
2016 - Arctic Observation and Reanalysis Integrated System: A New Data Product for Validation and Climate Study.
Christensen, M., A. Behrangi, T. L'Ecuyer, N. Wood, M. Lebsock, and G. Stephens
Bull. Amer. Meteor. Soc.
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2016 - Toward improving ice water content and snow rate retreivals from radars. Part I: X and W bands, emphasizing CloudSat
Heymsfield, A., S.Y. Matrosov and N.B. Wood.
J. Appl. Meteor. Climatol.
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2016 - A shallow cumuliform snowfall census using spaceborne radar
Kulie, M. S., L. Milani, N. B. Wood, S. A. Tushaus, R. Bennartz, and T. S. L'Ecuyer
J. Hydrometeor.
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2016 - Evaluation of current and projected Antarctic precipitation in CMIP5 models
Palerme, C., Genthon, C., Claud, C., Kay, J. E., Wood, N. B. and T. L'Ecuyer
Clim Dyn
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2016 - Status of high-latitude precipitation estimates from observations and reanalyses
Behrangi, A.; Christensen, M.; Richardson, M.; Lebsock, M.; Stephens, G.; Huffman, G.J.; Bolvin, D.; Adler, R.F.; Gardner, A.; Lambrigtsen, B.
J. Geophys. Res. Atmos.
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2016 - Comparison of Snowfall estimates from the NASA CloudSat Cloud Profiling Radar and NOAA/NSSL Multi-Radar Multi-Sensor System
Sheng Chen, Yang Hong, Mark Kulie, A. Behrangi, Phillip M. Stepanian, Qing Cao, Yalei You, Jian Zhang, Junjun Hu, Xinhua Zhang
Journal of Hydrology
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2015 - Intercomparison of snowfall estimates derived from the CloudSat Cloud Profiling Radar and the ground based weather radar network over Sweden.
Norin, L., A. Devasthale, T. S. Lecuyer, N. B. Wood, M. Smalley
Atmos. Meas. Tech.
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2015 - A climatology of the precipitation over the southern ocean as observed at macquarie island.
Wang Z, Siems ST, Belusic D, Manton MJ, Huang Y.
J. Appl. Meteor. Climatol.
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2014 - An Update on the Oceanic Precipitation Rate and Its Zonal Distribution in Light of Advanced Observations from Space.
Behrangi, A., G. Stephens, R. F. Adler, G. J. Huffman, B. Lambrigtsen, and M. Lebsock
J. Climate
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2014 - How does the spaceborne radar blind zone affect derived surface snowfall statistics in polar regions?
Maahn, M., C. Burgard, S. Crewell, I. V. Gorodetskaya, S. Kneifel, S. Lhermitte, K. Van Tricht, and N. P. M. van Lipzig
J. Geophys. Res. Atmos.
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2014 - How much snow falls on the Antarctic ice sheet?
Palerme, C., J. E. Kay, C. Genthon, T. L'Ecuyer, N. B. Wood and C. Claud
The Cryosphere
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2014 - Estimating snow microphysical properties using collocated multi sensor observations. Observing system performance
Wood, N. B., T. S. L'Ecuyer, A. Heymsfield, G. L. Stephens, D. Hudak, and P. Rodriguez
J. Geophys. Res.
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