Publications
The following list of California Water Science Center publications includes both official USGS publications and journal articles authored by our scientists.
Filter Total Items: 1811
Climate and land change impacts on future managed wetland habitat: A case study from California’s Central Valley Climate and land change impacts on future managed wetland habitat: A case study from California’s Central Valley
Concept California’s Central Valley provides critical habitat for migratory waterbirds, yet only 10% of naturally occurring wetlands remain. Competition for limited water supplies and climate change will impact the long-term viability of these intensively managed habitats.Objectives Forecast the distribution, abundance, and connectivity of surface water and managed wetland habitats...
Authors
Tamara Wilson, Elliott Matchett, Kristin B. Byrd, Erin Conlisk, Matthew E. Reiter, Cynthia Wallace, Lorraine E. Flint, Alan L. Flint, Monica Mei Jeen Moritsch
Watershed-scale risk to aquatic organisms from complex chemical mixtures in the Shenandoah River Watershed-scale risk to aquatic organisms from complex chemical mixtures in the Shenandoah River
River waters contain complex chemical mixtures derived from natural and anthropogenic sources. Aquatic organisms are exposed to the entire chemical composition of the water, resulting in potential effects at the organismal through ecosystem level. This study applied a holistic approach to assess landscape, hydrological, chemical, and biological variables. On-site mobile laboratory...
Authors
Larry B. Barber, Kaycee E. Faunce, David Bertolatus, Michelle L. Hladik, Jeramy Roland Jasmann, Steffanie H. Keefe, Dana W. Kolpin, Michael T. Meyer, Jennifer L. Rapp, David A. Roth, Alan M. Vajda
Relative bias in catch among long-term fish monitoring surveys within the San Francisco Estuary Relative bias in catch among long-term fish monitoring surveys within the San Francisco Estuary
Fish monitoring gears rarely capture all available fish, an inherent bias in monitoring programs referred to as catchability. Catchability is a source of bias that can be affected by numerous aspects of gear deployment (e.g., deployment speed, mesh size, and avoidance behavior). Thus, care must be taken when multiple surveys—especially those using different sampling methods—are combined...
Authors
Brock Huntsman, Brian Mahardja, Samuel M. Bashevkin
San Francisco Estuary chlorophyll sensor and sample analysis intercomparison San Francisco Estuary chlorophyll sensor and sample analysis intercomparison
This report presents an assessment of chlorophyll collection methods and anonymous results of field and laboratory comparisons in 2018 - 2019 by agencies in the San Francisco Estuary (SFE). The methods assessment and comparison exercises, with funding provided by the Delta Regional Monitoring Program and Bay Nutrient Management Strategy and in-kind contributions from participating...
Authors
Elizabeth B. Stumpner, Jamie S. Yin, Matthew Heberger, Jing Wu, Adam Wong, John Franco Saraceno
Risk-informed levee erosion countermeasure site selection and design in the Sacramento area part 2: Probabilistic numerical simulation of bank erosion Risk-informed levee erosion countermeasure site selection and design in the Sacramento area part 2: Probabilistic numerical simulation of bank erosion
USACE partnered with the United States Department of Agriculture, Agricultural Research Service, United States Geological Survey, and Texas A&M University to evaluate the erodibility of the river banks and levees to inform probabilistic numerical simulations using the Bank Stability and Toe Erosion Model (BSTEM). This paper, the second of two parts, addresses processing the collected...
Authors
Todd M. Rivas, Jonathan AuBuchon, Anna Shidlovskaya, Eddy J. Langendoen, Paul A. Work, Daniel N. Livsey, Anna Timchenko, Kellie Jemes, Jean-Louis Briaud
Risk-informed levee erosion countermeasure site selection and design in the Sacramento area part 1: Soil sampling, testing, and data processing Risk-informed levee erosion countermeasure site selection and design in the Sacramento area part 1: Soil sampling, testing, and data processing
USACE partnered with the United States Department of Agriculture, Agricultural Research Service, United States Geological Survey, and Texas A&M University to evaluate the erodibility of the river banks and levees to inform probabilistic numerical simulations using the Bank Stability and Toe Erosion Model (BSTEM). This paper discusses the measurement of the intrinsic erosion and...
Authors
Todd M. Rivas, Jonathan AuBuchon, Anna Shidlovskaya, Eddy J. Langendoen, Paul A. Work, Daniel N. Livsey, Anna Timchenko, Jean-Louis Briaud
Improving groundwater model calibration with repeat microgravity measurements Improving groundwater model calibration with repeat microgravity measurements
Groundwater-flow models depend on hydraulic head and flux observations for evaluation and calibration. A different type of observation—change in storage measured using repeat microgravity—can also be used for parameter estimation by simulating the expected change in gravity from a groundwater model and including the observation misfit in the objective function. The method is demonstrated...
Authors
Jeffrey R. Kennedy, Libby M. Wildermuth, Jacob E. Knight, Joshua D. Larson
Ocean connectivity drives trophic support for consumers in an intermittently closed coastal lagoon Ocean connectivity drives trophic support for consumers in an intermittently closed coastal lagoon
Estuarine food webs are complex, as marine, freshwater, and terrestrial inputs combine and contribute variable amounts of organic material. Seasonal fluctuations in precipitation amplify the dynamism inherent to estuarine food webs, particularly in lagoonal estuaries, which can be seasonally closed and disconnected from the ocean in low-runoff periods (bar-built lagoons). Despite their...
Authors
Matthew J. Young, Frederick V. Feyrer, Darren Fong, Rachel C. Johnson, Tamara E. C. Kraus, Veronica L. Violette, Elizabeth B. Stumpner, Megan B. Young
A scalable model-independent iterative data assimilation tool for sequential and batch estimation of high dimensional model parameters and states A scalable model-independent iterative data assimilation tool for sequential and batch estimation of high dimensional model parameters and states
Ensemble-based data assimilation (DA) methods have displayed strong potential to improve model state and parameter estimation across several disciplines due to their computational efficiency, scalability, and ability to estimate uncertainty in the dynamic states and the parameters. However, a barrier to adoption of ensemble DA methods remains. Namely, there is currently a lack of...
Authors
Ayman H. Alzraiee, Jeremy T. White, Matthew Knowling, Randall J. Hunt, Michael N. Fienen
Juvenile African clawed frogs (Xenopus laevis) express growth, metamorphosis, mortality, gene expression, and metabolic changes when exposed to thiamethoxam and clothianidin Juvenile African clawed frogs (Xenopus laevis) express growth, metamorphosis, mortality, gene expression, and metabolic changes when exposed to thiamethoxam and clothianidin
Neonicotinoids (NEO) represent the main class of insecticides currently in use, with thiamethoxam (THX) and clothianidin (CLO) primarily applied agriculturally. With few comprehensive studies having been performed with non-target amphibians, the aim was to investigate potential biomarker responses along an adverse outcome pathway of NEO exposure, whereby data were collected on multiple...
Authors
Jill Jenkins, Katherine R. Hartop, Ghadeer Bukhari, Debra E. Howton, Kelly L. Smalling, Scott Mize, Michelle L. Hladik, Darren Johnson, Rassa Dale, Bonnie L. Brown
Geostatistical mapping of salinity conditioned on borehole logs, Montebello Oil Field, California Geostatistical mapping of salinity conditioned on borehole logs, Montebello Oil Field, California
We present a geostatistics-based stochastic salinity estimation framework for the Montebello Oil Field that capitalizes on available total dissolved solids (TDS) data from groundwater samples as well as electrical resistivity (ER) data from borehole logging. Data from TDS samples (n = 4924) was coded into an indicator framework based on falling below four selected thresholds (500, 1000...
Authors
Neil Terry, Frederick Day-Lewis, Matthew K. Landon, Michael Land, Jennifer S. Stanton, John W. Lane
Dispersion and stratification dynamics in the upper Sacramento River deep water ship channel Dispersion and stratification dynamics in the upper Sacramento River deep water ship channel
Hydrodynamics control the movement of water and material within and among habitats, where time-scales of mixing can exert bottom-up regulatory effects on aquatic ecosystems through their influence on primary production. The San Francisco Estuary (estuary) is a low-productivity ecosystem, which is in part responsible for constraining higher trophic levels, including fishes. Many research...
Authors
Leah Lenoch, Paul Stumpner, Jon R. Burau, Luke C. Loken, Steven Sadro