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Person

Susan Wherry

Hydrologist

Email: swherry@usgs.gov
Office Phone: 971-500-0228
ORCID: 0000-0002-6749-8697

Location
601 SW 2nd Ave
Portland , OR 97204
US
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This data release contains the source code for the 1-D Deep Ventilation (1DDV) model (written in the Matlab programming language), and the input and output data from that model that were used to simulate temperature, salinity, and dissolved oxygen (DO) at specific depths in the lake. The input data consisted of: 1. daily average surface water temperature either a. collected by thermistors (Crawford_and_Collier_2007) between 1992 and 2013 and used for calibration/validation, or b. simulated by air2water from downscaled MACA outputs of air temperature (Abatzoglou_and_Brown_2012) for future simulations following the method in Piccolroaz_et_al_2013; 2. daily average wind speed either a. collected by the National Parks...
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This data release provides model inputs and outputs for a model that predicts redox conditions in groundwater in the contiguous United States. Input variables describe the hydrology, soils, geology, and hydrologic position of groundwater sample locations. The data release accompanies a journal article that describes model development and applications (Tesoriero_and_others_2023).
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Annual stream loads of mercury (Hg) and inputs of wet and dry atmospheric Hg deposition to the landscape were investigated in watersheds of the Western United States and the Canadian-Alaskan Arctic. Mercury concentration and discharge data from flow gauging stations were used to compute annual mass loads with regression models. Measured wet and modeled dry deposition were compared to annual stream loads to compute ratios of Hg stream load to total Hg atmospheric deposition. Watershed land uses or cover included mining, undeveloped, urbanized, and mixed. Of 27 watersheds that were investigated, 15 had some degree of mining, either of Hg or precious metals (gold or silver), where Hg was used in the amalgamation process....
Categories: Publication; Types: Citation
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This data release contains the model inputs, outputs, and source code (written in R) for the boosted regression tree (BRT) and artificial neural network (ANN) models developed for four sites in Upper Klamath Lake which were used to simulate daily maximum pH and daily minimum dissolved oxygen (DO) from May 18th to October 4th in 2005-12 and 2015-19 at four sites, and to evaluate variable effects and their importance. Simulations were not developed for 2013 and 2014 due to a large amount of missing meteorological data. The sites included: 1) Williamson River (WMR), which was located in the northern portion of the lake near the mouth of the Williamson River and had a depth between 0.7 and 2.9 meters; 2) Rattlesnake...
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The tabular data sets and associated maps in this data release represent water-quality data that were collected between April and November of 2017 and between July and November of 2019 to describe baseline conditions prior to or sometimes following treatments using herbicides or other methods to reduce the biomass of non-native water primrose (Ludwigia) within off-channel water bodies of the Willamette River near Albany and Keizer, Oregon. The water-quality parameters measured in this study included water temperature, specific conductance, pH, dissolved oxygen, turbidity, total chlorophyll, phycocyanin (blue-green algae pigment), and fluorescing dissolved organic matter in surface water.
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