Publication Date
6-1-2023
Document Type
Article
Publication Title
Atmosphere
Volume
14
Issue
6
DOI
10.3390/atmos14061029
Abstract
This study presents a year-long (January 2019–April 2020) analysis of the Z–R relationship and drop size distribution (DSD) scaling parameters for size, concentration, and shape of rain events over Santa Clara Valley, CA. External influences were analyzed based on synoptic variability and seasons. For the former, 850 hPa winds were separated into groups based on direction and magnitude. Results show that greater drop size, lower concentration, and larger shape parameters for spring, while winter and fall showed smaller drop sizes, higher concentrations, and smaller shape parameters. For synoptic variability, southeasterly-to-southwesterly flow was associated with larger drop sizes, larger concentrations, and smaller shape parameters relative to northwesterly flow. Differences in the DSD scaling parameter values and Z–R relationship were also observed between strong and weak low-level flow. The results of this study suggest that it is beneficial to derive specific microphysical relationships based on seasons and different synoptic events to improve radar rain rate retrieval algorithms using the Z–R relationship.
Funding Number
NA22SEC4810015
Funding Sponsor
U.S. Department of Commerce
Keywords
disdrometer, drop size distribution, microphysics, precipitation, Z–R relationship
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Department
Meteorology and Climate Science
Recommended Citation
Nathan Quinn and Sen Chiao. "Characterization of Raindrop Size Distribution over Santa Clara Valley" Atmosphere (2023). https://doi.org/10.3390/atmos14061029