ABSTRACT:

This is the repository containing the coding scripts used in the programming software "R" used in the analyses performed in Ford et al. 2021. These scripts take daily weather station observations from the GHCN network as well as daily stream gage data from USGS and aggregates them across several temporal and spatial scales before analyzing the differences in temperature, snow and streamflow in warmer winters and cooler winters across the Eastern US for water years 1960-2019. All data used, including the HUC-2 and HUC-4 basins used in the spatial aggregations are publicly available from USGS or NOAA at other sources. Please see Ford et al. 2021 for full details.

Preferred citation:
Ford, C.M., Kendall, A.D. and Hydnman, D.W. 2021. Snowpacks decrease and streamflows shift across the eastern US as winters warm. Science of the Total Environment.
https://doi.org/10.​1016/​j.​scitotenv.​2021.​148483

ABSTRACT:

Warming winter temperatures are causing changes to snow melt hydrology in Michigan. These changes to snow melt timing and amount, streamflow timing and net groundwater recharge were quantified using the statistical software "R". These scripts use various publically available datasets and R package addons to examine snowmelt hydrology in Michigan from 2003-2017. The detailed results of this study are published in Ford et al., 2020 (doi: 10.1016/j.jhydrol.2020.125517).

ABSTRACT:

Warming winter temperatures are causing changes to snow melt hydrology in Michigan. These changes to snow melt timing and amount, streamflow timing and net groundwater recharge were quantified using the statistical software "R". These scripts use various publically available datasets and R package addons to examine snowmelt hydrology in Michigan from 2003-2017. The detailed results of this study are published in Ford et al., 2020 (doi: 10.1016/j.jhydrol.2020.125517).