Date of Award
Summer 2026
Language
English
Embargo Period
7-31-2026
Document Type
Master's Thesis
Degree Name
Master of Science (MS)
College/School/Department
Department of Atmospheric and Environmental Sciences
Program
Atmospheric Science
First Advisor
Justin Minder
Second Advisor
Brian Tang
Keywords
Snowmelt, Atmospheric River, Flooding, Catskills, Extreme Precipitation, Energy Budget
Subject Categories
Atmospheric Sciences | Meteorology
Abstract
This study uses atmospheric reanalysis, precipitation and snow water equivalent (SWE) analyses, mesonet observations, and streamflow records to examine the impact of an atmospheric river storm that produced heavy rainfall and snowpack ablation across the Catskill Mountains of New York on 24–25 December 2020. Earlier in December, an antecedent storm produced SWE values in the Catskills above the 90th percentile for that point in the season. The atmospheric river event followed with strong southerly warm-air advection ahead of an anomalously deep trough, temperatures and dewpoints that exceeded 10°C, and heavy orographically enhanced rainfall and rapid snowmelt. Sensible heat fluxes were the primary contributions to snowmelt energy, while latent heat fluxes and advective energy from rainfall were secondary.
The rapid snowmelt and heavy rainfall resulted in the Esopus Creek, which provides inflow to New York City’s Ashokan Reservoir, reaching 10-year return interval streamflow magnitudes. Streamflows into six of New York City’s reservoir catchments over the Catskills were partitioned by estimating catchment-integrated rainfall and SWE loss volumes for this event and other overlapping extreme SWE loss and streamflow events from water years 2004–2024. In the 24–25 December 2020 event, snowmelt accounted for ~30–50% of total streamflow volume. In comparison with other overlapping extreme SWE loss and streamflow events, 24–25 December 2020 was distinguished primarily by its large rainfall accumulations. Events with greater SWE losses, but limited rainfall produced comparatively muted discharge volumes. Synoptic analysis of these events showed all overlapping events occurred during objectively identified AR conditions.
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Gilberti, Christopher A., "Drivers of Extreme Streamflow During a Snowmelt-Enhanced Heavy Rainfall and Atmospheric River Event in the Catskill Mountains of New York" (2026). Electronic Theses & Dissertations (2024 - present). 525.
https://scholarsarchive.library.albany.edu/etd/525