Data

This data release contains five groundwater particle-tracking models (MODPATH6) of northeastern Wisconsin, USA, that were developed to work with three MODFLOW models that have differing levels of complexity. The previously developed MODFLOW models (https://doi.org/10.3133/sir20175010 and https://doi.org/10.5066/F73J3B3P) were modified slightly to ensure proper functioning with MODPATH6

Sediments and sediment transport influence the physical habitat and the ecology of the San Francisco Bay estuary. Bed sediments provide habitat for benthic organisms and the transport of sediment transports nutrients and contaminants throughout the San Francisco Bay. As part of the SF Bay-Delta Priority Ecosystems Science Program project: Biophysical Controls on Erosion and Near-Bed...

This data release includes field measurements of flow depth and optical image sequences acquired from the Salcha River in Alaska on July 25, 2019. These data were used to develop and test a spectrally based remote sensing technique for estimating water depth from passive optical image data. The purpose of this study was to assess the feasibility of inferring water depths from optical...

This data release provides source code and an R workspace with functions comprising a non-linear baseflow separation model, calibrated values of parameters and estimates of the baseflow component of daily streamflow at selected streamflow gages. Parameter values were determined by calibration of the model. Estimates of the baseflow component include daily values and the total baseflow as...

Ensemble-tree machine learning (ML) regression models can be prone to systematic bias: small values are overestimated and large values are underestimated. Additional bias can be introduced if the dependent variable is a transform of the original data. Six methods were evaluated for their ability to correct systematic and introduced bias: (1) empirical distribution matching (EDM); (2)...

One-dimensional vertical models of GW flow (MODFLOW-2005) and solute transport (MT3D-USGS) were calibrated (UCODE) to 2014 observed dissolved silica (Si, 0.2-micron filtered) porewater concentrations in the upper 0.1 m of lakebed sediment to estimate GW flow and Si exchange across the lakebed interface. The Si-based calibrated GW flow rates were then used in conjunction with observed...

The Russian River watershed is an important resource for drinking water and recreation. Sonoma Water relies on the Russian River to provide drinking water to over 620,000 Sonoma County and Marin, CA residents. Nearly 1 million visitors enjoy numerous recreational opportunities on the Russian River annually. Wildfires have increased in frequency and intensity in Northern California and...

The data presented here was collected adjacent to USGS stream gage 06730200 and includes both observed and modeled values. Dissolved oxygen, dissolved carbon dioxide, stream depth, water temperature, and light intensity were collected via passive water quality sensors. Modeled values include gross primary production, ecosystem respiration, net ecosystem production, reaeration, and light...

Chemical and isotopic analyses are reported for water samples collected from water supply wells, a geothermal well in the Puna Geothermal Venture (PGV) power plant, a hot spring in the Puna District, a research well on the summit of Kilauea Volcano (informally called "NSF Well", or "Keller Well "), and a water catchment in the headquarters area of Hawai'i Volcanoes National Park, Hawai'i...

To support an investigation of the feasibility of measuring river bathymetry using a polarizing lidar sensor, lidar and field measurements were collected on the Colorado River near Lees Ferry, Arizona on September 23, 2019. This parent data release includes links to child pages for the following data sets: 1) Lidar data used for mapping channel bathymetry (depth), acquired with a novel...

To support an investigation of the feasibility of measuring river bathymetry using remotely sensed data acquired from a small unmanned aircraft system (sUAS), remotely sensed bathymetry and field measurements were collected from two cross-sections on the Colorado River near Parshall, CO on June 13, 2019. This parent data release includes links to child pages for the following data sets...

To support an investigation of the feasibility of measuring river bathymetry using remotely sensed data acquired from an unmanned aircraft system (UAS), several types of remotely sensed data and field measurements were collected from two cross-sections on the Blue River and two cross-sections on the Colorado River near Kremmling, Colorado, on October 17-18, 2018. This parent data release...