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Supporting data for and predictions from streamflow permanence modeling in Mount Rainier National Park and surrounding area, Washington, 2018-2020

Dates

Publication Date
Time Period
2023

Citation

Jaeger, K.L., Dunn, S.B., and Wilkerson, O.A., 2023, Supporting data for and predictions from streamflow permanence modeling in Mount Rainier National Park and surrounding area, Washington, 2018-2020: U.S. Geological Survey data release, https://doi.org/10.5066/P942QL23.

Summary

This data release contains spatially gridded geospatial data (rasters), R scripts, and supporting files to run Random Forest models to predict the probability of late summer surface flow in Mount Rainier and surrounding area in Washington State for 2018–20. Gridded geospatial data that describes the physical conditions of Mount Rainier National Park and surrounding area are used to refine the existing PRObability of Streamflow PERmanence (PROSPER) model (Jaeger and others, 2019). All data processing and analysis were scripted with R (version 4.0.4; https://www.r-project.org/) and was executed from the RStudio GUI (version 1.4.1103; https://www.rstudio.com/). R scripts to prepare the geospatial data, develop random forest models, and [...]

Contacts

Point of Contact :
Kristin L Jaeger
Originator :
Kristin L Jaeger, Sarah B Dunn, Oscar A Wilkerson
Metadata Contact :
Kristin L Jaeger
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
USGS Mission Area :
Water Resources
SDC Data Owner :
Washington Water Science Center

Attached Files

Click on title to download individual files attached to this item.

MORA_Source_Code.zip
“MORA_Source_Code”
11.18 KB application/zip
README_MORA.txt
“README”
7.41 KB text/plain
MORA_Model_Outputs.zip
“MORA_Model_Outputs”
150.47 MB application/zip
1.63 GB application/x-zip-compressed
VersionHistory_MORA.txt
“Version history ”
1.27 KB text/plain

Purpose

This data release contains input variables, observations, R scripts, and supporting files for predicting probabilities of streamflow permanence for the study area that includes Mount Rainier National Park and four Hydrologic Unit Code 8 watersheds (17030002, 17080004,17110014, and 17110015) that intersect the national park. The variable datasets were prepared to serve as covariates for streamflow permanence modeling in Mount Rainier National Park and surrounding area.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P942QL23

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