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Model Archive for an Impulse Response Emulator of Groundwater Contaminant Transport Models Model Archive for an Impulse Response Emulator of Groundwater Contaminant Transport Models
This archive contains the code and other files to demonstrate the creation and application of an impulse-response emulator for process-based groundwater flow and transport models in MODFLOW/MT3D. This includes creating a synthetic modeling environment in MODFLOW/MT3D, using PEST++ to derive an impulse-response (A) matrix (as described in White et al., 2020), using this A matrix to create...
Model Archive Summary for Suspended-Sediment Concentration at station 11510700, Klamath River below John C. Boyle power plant, near Keno, OR, water years 2019-2023 Model Archive Summary for Suspended-Sediment Concentration at station 11510700, Klamath River below John C. Boyle power plant, near Keno, OR, water years 2019-2023
This model archive summary (MAS) and associated model calibration data describes a surrogate model used to compute point location suspended sediment concentrations at USGS streamgage 11510700 for water years 2019-2023. The methods used follow USGS guidance as referenced in Office of Surface Water (OSW)/Office of Water Quality (OWQ) technical memoranda 2016.07 and USGS techniques and...
Model archive summary for turbidity derived suspended-sediment concentration at USGS station 13337099 Clear Creek at Kooskia National Fish Hatchery, Idaho Model archive summary for turbidity derived suspended-sediment concentration at USGS station 13337099 Clear Creek at Kooskia National Fish Hatchery, Idaho
A suspended sediment surrogate model was developed using turbidity and streamflow for Clear Creek at the Kooskia National Fish Hatchery – USGS site ID# 13337099. The model archive summary describes the methods and techniques used to develop the model. Model limitations and range of conditions in which the model is valid are defined in the Model Archive Summary Report (13337099_MAS.Final...
Model Archive Summary for Turbidity Derived Suspended-Sediment Concentrations at USGS Station 11455335; Sacramento River Deep Water Ship Channel near Rio Vista, California (2015 - 2021) Model Archive Summary for Turbidity Derived Suspended-Sediment Concentrations at USGS Station 11455335; Sacramento River Deep Water Ship Channel near Rio Vista, California (2015 - 2021)
Continuous 15-minute time-series suspended-sediment concentration (SSC) data computed from USGS instream turbidity data using a YSI EXO multi-parameter water quality sonde for the Sacramento River Deep Water Ship Channel near Rio Vista, California station (DWS; USGS #11455335). A Model Archive Summary (MAS) describes the development of a continuous 15-minute SSC time-series regression...
Model Archive, Input Data, Modeled Estimates of Water Use 2005-2021, and Forecasts of Water Use in 2030 and 2040 in Providence, Rhode Island Model Archive, Input Data, Modeled Estimates of Water Use 2005-2021, and Forecasts of Water Use in 2030 and 2040 in Providence, Rhode Island
A water use study was conducted to understand the drivers of historical water use in the Providence Water Supply Board network (the service area of Providence Water Supply Board and its wholesale customers) and to forecast future water use in the same network. A cubist regression model was developed to model daily per capita water use rates for three water use categories in each of the...
Model outputs highlighting how biodiversity loss reduces global terrestrial carbon storage based on climate and land-use changes projected for 2050 Model outputs highlighting how biodiversity loss reduces global terrestrial carbon storage based on climate and land-use changes projected for 2050
Carbon sequestration and biodiversity are tightly linked, but many models projecting carbon storage change do not account for the role biodiversity plays in the sequestration capacity of terrestrial ecosystems. Here, we link a macroecological model projecting changes in vascular plant richness with empirical biodiversity-biomass stock relationships, to assess the consequences of plant...
Model outputs highlighting how biodiversity loss reduces global terrestrial carbon storage based on climate and land-use changes projected for 2050 Model outputs highlighting how biodiversity loss reduces global terrestrial carbon storage based on climate and land-use changes projected for 2050
Carbon sequestration and biodiversity are tightly linked, but many models projecting carbon storage change do not account for the role biodiversity plays in the sequestration capacity of terrestrial ecosystems. Here, we link a macroecological model projecting changes in vascular plant richness with empirical biodiversity-biomass stock relationships, to assess the consequences of plant...
Model Sensitivity to Sediment Parameters and Bed Composition in Delft3D: Model Output Model Sensitivity to Sediment Parameters and Bed Composition in Delft3D: Model Output
The sensitivity to sediment parameterization and initial bed configuration on sediment transport processes and morphological evolution are assessed through process-based numerical modeling. Six sensitivity cases using a previously validated model for Dauphin Island, (Alabama) were modeled using Delft3D (developed by Deltares) to understand impacts on bed level morphology, barrier island...
Model simulations of the January 15, 2022 Hunga Volcano eruption plume and deposit Model simulations of the January 15, 2022 Hunga Volcano eruption plume and deposit
This data release accompanies the publication below, and contains the data used in that publication. Mastin, L.G., Van Eaton, Alexa R., and Cronin, Shane, in press, Did steam boost the height and growth rate of the giant Hunga eruption plume? Bulletin of Volcanology. https://doi.org/10.1007/s00445-024-01749-1 Within this data release are two zip files: --Supplementary_tables.zip contains
Modeled daily salinity derived from multiple machine learning methodologies and generalized additive models for three salinity monitoring sites in Mobile Bay, northern Gulf of Mexico, 1980–2021 Modeled daily salinity derived from multiple machine learning methodologies and generalized additive models for three salinity monitoring sites in Mobile Bay, northern Gulf of Mexico, 1980–2021
Results from generalized additive models (GAM), random forest models (RFM), and cubist models (CUB) for three Dauphin Island Sealab (DIS) operated salinity sites in Mobile Bay are reported in this data release. These sites included Meaher Park (DIS:MHPA1), Middle Bay Lighthouse (DIS:MBLA1), and Dauphin Island (DIS:DPIA1). The constructed models predicted a 42-year daily salinity record...
Modeled daily salinity derived from multiple machine learning methodologies for 91 salinity monitoring sites in the northern Gulf of Mexico, 1980–2021 Modeled daily salinity derived from multiple machine learning methodologies for 91 salinity monitoring sites in the northern Gulf of Mexico, 1980–2021
This data release consists of statistical predictions of daily salinity time series generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope includes...
Modeled habitat suitability for Erigeron rhizomatus (Zuni fleabane) Modeled habitat suitability for Erigeron rhizomatus (Zuni fleabane)
This raster presents the final outputs from a VisTrails/SAHM workflow to model the potential distribution of Zuni fleabane (Erigeron rhizomatus) in northwestern New Mexico. These models utilized field data of spatially thinned occurrence locations and random background locations. We included a suite of predictors related to soils, topography, vegetation cover, and geology. Details about...