Global Snowfall Detection and Measurement

Kulie, Mark S.; Milani, Lisa; Wood, Norman B.; L’Ecuyer, Tristan S.

doi:10.1007/978-3-030-35798-6_12

Mark S. Kulie¹¹,
Lisa Milani¹²,
Norman B. Wood¹³ &
…
Tristan S. L’Ecuyer¹⁴

Part of the book series: Advances in Global Change Research ((AGLO,volume 69))

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7 Citations

Abstract

This chapter highlights the CloudSat Cloud Profiling Radar and its contribution to global snowfall research. Brief summaries of recent snowfall-related research using CloudSat snowfall products and near-global snowfall datasets are provided. Global snowfall detection statistics and quantitative snowfall rate estimates from CloudSat are also presented, including global mean zonal precipitation phase and snowfall-only statistics. A simple quality control methodology is also presented to alleviate ground clutter that can affect quantitative snowfall estimates. Gridded spatial analyses also provide valuable information on snowfall prone locations and corresponding annual mean snowfall accumulation estimates, including a monthly hemispheric snowfall variability analysis. Future research pathways to use and improve CloudSat snowfall products are also discussed.

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Acknowledgments

Partial support for this work from NASA grants NNX12AQ76G, NNX14AB22G, and NNX16AE21G is gratefully acknowledged. Data product procurement support from the CloudSat Data Processing Center is also appreciated.

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Authors and Affiliations

NOAA/NESDIS/Center for Satellite Applications and Research/Advanced Satellite Products Branch, Madison, WI, USA
Mark S. Kulie
Goddard Space Flight Center, University of Maryland and NASA, Greenbelt, MD, USA
Lisa Milani
Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison, Madison, WI, USA
Norman B. Wood
Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, WI, USA
Tristan S. L’Ecuyer

Authors

Mark S. Kulie
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Lisa Milani
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Norman B. Wood
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Tristan S. L’Ecuyer
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Correspondence to Mark S. Kulie .

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Editors and Affiliations

CNR-ISAC, Bologna, Italy
Vincenzo Levizzani
Earth System Science Interdisciplinary Center University of Maryland and NASA Goddard Space Flight Center, Greenbelt, MD, USA
Christopher Kidd
Code 617, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Dalia B. Kirschbaum
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
Christian D. Kummerow
Department of Economics on Sustainability, Dokkyo University, Saitama, Japan
Kenji Nakamura
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
F. Joseph Turk

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Kulie, M.S., Milani, L., Wood, N.B., L’Ecuyer, T.S. (2020). Global Snowfall Detection and Measurement. In: Levizzani, V., Kidd, C., Kirschbaum, D., Kummerow, C., Nakamura, K., Turk, F. (eds) Satellite Precipitation Measurement. Advances in Global Change Research, vol 69. Springer, Cham. https://doi.org/10.1007/978-3-030-35798-6_12

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DOI: https://doi.org/10.1007/978-3-030-35798-6_12
Published: 15 April 2020
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-35797-9
Online ISBN: 978-3-030-35798-6
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