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Model Archive Summary for Turbidity Derived Suspended-Sediment Concentrations at 11337190 San Joaquin River at Jersey Point, California (2015-2023) Model Archive Summary for Turbidity Derived Suspended-Sediment Concentrations at 11337190 San Joaquin River at Jersey Point, California (2015-2023)
This Model Archive Summary (MAS) describes the development of a turbidity derived suspended-sediment concentration (SSC) time-series computation model. The MAS includes all the methods and techniques used to develop the model for USGS station 11337190 San Joaquin River at Jersey Point, California. The time-series suspended-sediment concentration data are representative of the cross...
Model Archive Summary for Turbidity Derived Suspended-Sediment Concentrations at 11455350 Cache Slough at Ryer Island, Ca (2013-2018) Model Archive Summary for Turbidity Derived Suspended-Sediment Concentrations at 11455350 Cache Slough at Ryer Island, Ca (2013-2018)
Continuous 15-minute time-series suspended-sediment concentration (SSC) data, representative of the cross section, were computed from instream turbidity data and are acceptable to compute sediment transport. Instream turbidity data were collected at the same location of the ADVM. Sediment samples were collected along the channel transect shown in the channel cross section information...
Model Archive Summary for Turbidity Derived Suspended-Sediment Concentrations at 11455420 Sacramento River at Rio Vista, California (2015-2020) Model Archive Summary for Turbidity Derived Suspended-Sediment Concentrations at 11455420 Sacramento River at Rio Vista, California (2015-2020)
This Model Archive Summary (MAS) describes the development of a turbidity derived suspended-sediment concentration (SSC) time-series computation model. The MAS includes all the methods and techniques used to develop the model for USGS stations 11455420 Sacramento River at Rio Vista, Ca. The time-series suspended-sediment concentration data are representative of the cross section and are...
Model Archive Summary No. 2 for Turbidity Derived Suspended-Sediment Concentrations at USGS Station 11447903; Georgiana Slough Near Sacramento River, California (2015-2021) Model Archive Summary No. 2 for Turbidity Derived Suspended-Sediment Concentrations at USGS Station 11447903; Georgiana Slough Near Sacramento River, California (2015-2021)
Model archive summary (MAS) describing the development of a continuous 15-minute suspended-sediment concentration (SSC) time series regression model for the site: Georgiana Slough Near Sacramento River (U.S. Geological Survey (USGS) site # 11447903). The SSC time series is computed from instream turbidity data that is managed by the USGS using a YSI EXO multi-parameter water quality...
Model Archive: Simulation of Rhodamine Dye Concentration and Larval Drift, Kootenai River, Idaho Model Archive: Simulation of Rhodamine Dye Concentration and Larval Drift, Kootenai River, Idaho
This archive contains results of lagrangian particle-tracking (LPT) simulations of both the dispersal of rhodamine dye and larval drift. The LPT model is a research effort and the simulations here provide some of the first experimental validation of the results for dispersal of a conservative constituent (Rhodamine WT-20). The larval drift simulations however have not been validated and...
Model Estimates of Chlorophyll a and CyanoHABs Occurrence for Select New York State Lakes Model Estimates of Chlorophyll a and CyanoHABs Occurrence for Select New York State Lakes
This data release contains modeled estimates of chlorophyll a concentration and cyanoHAB occurrence for a subset of lakes in New York State. Estimates of chlorophyll a concentration were generated using a random forest model. Estimates of cyanoHAB occurrence were generated based on thresholds derived from bootstrapped logistic regression. All analysis was done in R 4.4.1 (R Core Team...
Model inputs and estimated total nitrogen and total phosphorus loads used in the development of Mississippi SPARROW models, 2018 base year Model inputs and estimated total nitrogen and total phosphorus loads used in the development of Mississippi SPARROW models, 2018 base year
Degradation of water quality from nutrient pollution continues to be a challenge for water resource managers. The development of effective management strategies begins with tools that facilitate an understanding of nutrient sources and transport. SPARROW (SPAtially Referenced Regression On Watershed attributes) is a spatially explicit model platform that correlates water-quality...
Model inputs and outputs associated with a 10-year continuous daily simulation of chloride flux from a suburban watershed in Fairfax County, Virginia, USA Model inputs and outputs associated with a 10-year continuous daily simulation of chloride flux from a suburban watershed in Fairfax County, Virginia, USA
This data release documents the inputs and outputs for a coupled water-chloride mass balance model at Long Branch in Fairfax County, VA. Data inputs include daily measurements of various ecological conditions including precipitation, temperature, discharge and specific conductance. Output data include daily predicted values of discharge, chloride concentration, and volume for the...
Model inputs for machine learning models forecasting streamflow drought across the conterminous United States (ver. 2.0, September 2025) Model inputs for machine learning models forecasting streamflow drought across the conterminous United States (ver. 2.0, September 2025)
This dataset contains 3,229 feather files with time series of all model inputs for machine learning models predicting streamflow drought across the conterminous United States (CONUS). Files contain weekly time series of streamflow percentiles, meteorology, snow water equivalent, forecast meteorology, estimated water use, soil moisture, as well as lagged versions of these datasets. Values...
Model outputs and model code for machine learning models forecasting streamflow drought across the Conterminous United States Model outputs and model code for machine learning models forecasting streamflow drought across the Conterminous United States
We applied machine learning (ML) models to forecast streamflow drought from 1 to 13 weeks into the future at more than 3,000 streamgage locations across the Conterminous United States. We applied two machine learning methods (long short-term memory [LSTM] neural network; light gradient boosting [LightGBM] machine) and two benchmark model approaches (persistence; autoregressive integrated...
Model outputs of habitat suitability for three invasive tegu lizards across the contiguous United States under current and future climate scenarios Model outputs of habitat suitability for three invasive tegu lizards across the contiguous United States under current and future climate scenarios
This data release is comprised of two datasets; 1) a .tif file containing species distribution model (SDM) outputs for three invasive tegu species (Salvator merianae, S. rufescens, Tupinambis teguixin) across the contiguous United States (CONUS) for three climate scenarios (current, +2 degree C warming and +4 degree C warming). We are providing a stacked raster (9 layers total), with a...
Model Outputs Showing Optimized Grassland Restoration Sites in the Great Plains Region of Kansas Model Outputs Showing Optimized Grassland Restoration Sites in the Great Plains Region of Kansas
Ecological restoration is essential to meet global biodiversity conservation goals. Given limited conservation budgets, deciding where to restore habitat is a key challenge for the coming decade. This dataset includes optimal restoration sites selected from multiple restoration model scenarios. We developed a modeling approach to maximize conservation benefit/restoration cost ratios to...