Articles | Volume 28, issue 23
https://doi.org/10.5194/hess-28-5295-2024
https://doi.org/10.5194/hess-28-5295-2024
Research article
 | 
06 Dec 2024
Research article |  | 06 Dec 2024

Seasonal variation in land cover estimates reveals sensitivities and opportunities for environmental models

Daniel T. Myers, David Jones, Diana Oviedo-Vargas, John Paul Schmit, Darren L. Ficklin, and Xuesong Zhang

Data sets

Seasonal landcover variation and environmental modeling data Daniel Myers et al. https://doi.org/10.17632/bbb9xbpv22.3

Model code and software

Seasonal land cover variation and environmental modeling scripts Daniel Myers et al. https://doi.org/10.6084/m9.figshare.27952815

Download
Short summary
We studied how streamflow and water quality models respond to land cover data collected by satellites during the growing season versus the non-growing season. The land cover data showed more trees during the growing season and more built areas during the non-growing season. We next found that the use of non-growing season data resulted in a higher modeled nutrient export to streams. Knowledge of these sensitivities would be particularly important when models inform water resource management.