Filters: Types: OGC WFS Layer (X) > partyWithName: Washington Water Science Center (X) > partyWithName: Kristin L Jaeger (X)
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This dataset provides details from stream metabolism models for 20 stream sites in the United States that were sampled as part of the National Water Quality Program's Regional Stream Quality Assessments (RSQA). Metabolism was estimated at each site using the streamMetabolizer package in R. For each of the 20 sites, three files are provided; (1) the input data, which includes continuous dissolved oxygen, water temperature, light, and stream depth, (2) the output data containing the daily metabolism estimates, and (3) a site-specific html 'guide' for running the streamMetabolizer package in R. The site 'short_name' is included in each file name to distinguish the files associated with each field site. Final metabolism...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Connecticut,
Georgia,
Illinois,
Indiana,
Iowa,
This dataset includes spatial locations where surface water presence observations were collected during the late summer baseflow period in Mt. Rainier National Park and surrounding area in Washington State, July 2018 - September 2020. Stream flow status (continuous flow, discontinuous flow, and dry) were recorded using the FLOwPER (FLOw PERmanence) field survey available in the Survey 123 and S1 mobile application for observations collected in 2019 and 2020. Observations collected in 2018 used an earlier version of the FLOwPER survey. Additional information to describe the field conditions are included as part of the survey. The observations were processed to correspond to pixels on the medium resolution National...
The White River is a dynamic gravel-bedded system in western Washington, with headwaters on Mount Rainier. Chronic aggradation in the lower river has reduced flood conveyance to a point where modest discharges are increasingly causing substantial flood damage. In order to better understand the dynamics governing this aggradation, and how aggradation rates may be influenced by forecasted changes in climate, the USGS conducted a broad study looking at the watershed-scale delivery and routing of coarse sediment (sand and gravel). Those results have been published in a GSA Bulletin journal article (https://doi.org/10.1130/B35530.1). This data release consists of supporting data used in that product, and includes Grain...
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...
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