Articles | Volume 25, issue 17
https://doi.org/10.5194/acp-25-9999-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-9999-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Sep 2025
Research article |
| 09 Sep 2025
| 09 Sep 2025
Synthesis of surface snowfall rates and radar-observed storm structures in 10+ years of northeastern US winter storms
Center for Geospatial Analytics, North Carolina State University, Raleigh, NC 27695, USA
current address: Karen Clark and Company, Boston, MA 02116, USA
Center for Geospatial Analytics, North Carolina State University, Raleigh, NC 27695, USA
Department of Marine, Earth, and Atmospheric Science, North Carolina State University, Raleigh, NC 27695, USA
Matthew A. Miller
Department of Marine, Earth, and Atmospheric Science, North Carolina State University, Raleigh, NC 27695, USA
Mariko Oue
School of Marine and Atmospheric Sciences, Stony Brook University, State University of New York, Stony Brook, NY 11794, USA
Charles N. Helms
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
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Short summary
This study investigates how radar-detected snow bands relate to snowfall rates during winter storms in the northeastern United States. Using over a decade of data, we found that snow bands are not consistently linked to heavy snowfall at the surface, as snow particles are often dispersed by wind before reaching the ground. These findings highlight limitations of using radar reflectivity for predicting snow rates and suggest focusing on radar echo duration to better understand snowfall patterns.
This study investigates how radar-detected snow bands relate to snowfall rates during winter...
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