Title:

Western Oregon Wet Dry (WOWTDR) annual predictions of late summer streamflow status for western Oregon, 2019-2021

Author(s):

Burnett, Jonathan D.

Publication Year:

2025

How to Cite:

These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

Burnett, Jonathan D. 2025. Western Oregon Wet Dry (WOWTDR) annual predictions of late summer streamflow status for western Oregon, 2019-2021. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2024-0037

Abstract:

The Western Oregon WeT DRy (WOWTDR) model provides decision makers with a spatially explicit map of western Oregon streams that are predicted to be either wet or dry in late summer. This data publication includes all of the input and output files for producing these predictions with the WOWTDR model. The model output presented here is the mean of WOWTDR predictions for the 2019-2021 calendar years for the purpose of providing a single prediction of wet or dry for each stream reach. Predictions years correspond with observation years of the model calibration data. This model was trained using data collected with the Flow Permanence (FLOwPER) application. This data release provides the WOWTDR model and WOWTDR predictions on streamlines across 426 HUC12s in western Oregon, with the intent to characterize a process for developing WOWTDR predictions. Also included is all R code and Python code needed to run and process this model.

Keywords:

biota; environment; geoscientificInformation; inlandWaters; Climate change; Climatology; Ecology, Ecosystems, & Environment; Hydrology, watersheds, sedimentation; Inventory, Monitoring, & Analysis; WOWTDR; Western Oregon WeT DRy model; FLOwPER; Flow Permanence application; streamflow permanence; streams; intermittent rivers and ephemeral streams; headwaters; streamflow intermittency; temporary streams; drought; low flow; random forest; crowdsourced data; Oregon; Pacific Northwest

Related publications:

• Burnett, Jonathan D.; Jaeger, Kristin L.; Wondzell, Steve M.; Dunham, Jason B.; Barker, Matthew; Heaston, Emily D.; Chelgren, Nate; Wing, Michael G.; Staab, Brian; Brown, Mike; Johnson, Sherri L. Unknown. A streamflow permanence classification model for western Oregon that explicitly accounts for uncertainty and extrapolation. Water Resources Research. [In review].

Metrics:

Visit count : 24 0
Download count: 6
More details

Data Access:

• View metadata (HTML)
• View file index (HTML), which lists all files in this data publication and short description of their contents
• Download all files below for the complete publication:
  • RDS-2024-0037_Metadata_Fileindex.zip (45.05 KB; Checksum)
  • RDS-2024-0037_Data1.zip (14.7 GB; Checksum)
  • RDS-2024-0037_Data2.zip (11.6 GB; Checksum)
  • RDS-2024-0037_Data3.zip (12.5 GB; Checksum)

Need information about Using our Formats?