This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.
Downloads
Authors
Abstract
Quantifying and predicting precipitation and its influence on ecosystems is challenged by the asynchrony between precipitation and water fluxes. To account for this asynchrony, scientists and managers use “water year” to estimate precipitation and its impacts on water flow and ecosystems. However, traditional water year definitions either do not consider areal variation in climate and hydrology or cannot be applied at the regional or continental scale. Using an existing definition whereby the water year begins in the month with the lowest average monthly streamflow, we developed a local water year (LWY) that considers spatial variation and can be applied at the continental scale. We employed a spatial interpolation technique to assign LWY start and end months to 202 subregions across the conterminous U.S. that range from 4,384 to 134,755 km2. This dataset can be linked with diverse climate, terrestrial, and aquatic data for broad-scale studies.
DOI
https://doi.org/10.31223/X5Q121
Subjects
Fresh Water Studies, Water Resource Management
Keywords
Water year, streamflow, spatial variation, Spatial interpolation, Macroscale, Precipitation
Dates
Published: 2024-05-24 23:14
Last Updated: 2024-05-25 06:14
License
CC BY Attribution 4.0 International
Additional Metadata
Conflict of interest statement:
Authors have no conflict of interest to declare.
Data Availability (Reason not available):
Local water year (LWY) data and metadata, as well as the code used to create LWY are available on the Environmental Data Initiative (EDI) Data Portal at https://doi.org/10.6073/pasta/94185d860444092a1d358d02dbc6bb40.
There are no comments or no comments have been made public for this article.