Found 95 datasets matching "Parameter Estimation".
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A series of Jupyter notebooks documenting a self-guided, interactive curriculum for the PEST++ family of software codes for uncertainty analysis, parameter estimation, and management optimization.
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Examples of adaptive measurement protocols using optimal Bayesian experiment design. This dataset supports "Simplified algorithms for adaptive experiment design in parameter estimation", arXiv...
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The algorithms in this data release implement a State-Space Model (SSM) of vertical infiltration through the unsaturated zone and recharge to the water table. These algorithms build on previous...
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The algorithms and input data included in this data release are used to interpret time-series data (water- table altitude, precipitation, and potential evapotranspiration) over an observation...
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• Figure 1. Ratio of cumulative released cells to cells initially present in the manure at Week 0 as they vary by time, manure type and age, microbe, and Event (i.e., season). The 95% confidence...
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Hypothetical two-dimensional, steady-state groundwater flow models of a previously published 1988 model calibration exercise were developed using the finite-difference computer code,...
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The existing three-dimensional groundwater flow model (MODFLOW-2005) of the Mississippi Embayment Regional Aquifer system (MERAS), South-Central United States, was updated with: 1) higher stream...
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The dataset to support the journal article was generated by a cooperative non-EPA research organization. Readers may inquire underlying dataset from the corresponding author as specified in the...
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Several subsets of NARS data were used for illustrative purposes in creating this manuscript. This dataset is associated with the following publication: Dumelle, M., T. Kincaid, A. Olsen, and M....
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Model-based prognostics approaches rely on physics-based models that describe the behavior of systems and their components. These models must account for the several different damage processes...
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Input and output files used for fault characterization through numerical simulation using iTOUGH2. The synthetic data for the push period are generated by running a forward simulation (input...
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Background Acceptability curves have been proposed for quantifying the probability that a treatment under investigation in a clinical trial is cost-effective. Various definitions and...
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This model archive contains the MODFLOW 6 model used to simulate groundwater flow in the Treasure Valley for 1986 through 2015. The simulated results are described in the associated U.S....
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A groundwater-flow model was developed for the Bad River Watershed and surrounding area by using the U.S. Geological Survey (USGS) finite-difference code MODFLOW–NWT. The model simulates...
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Model-based prognostics approaches employ do- main knowledge about a system, its components, and how they fail through the use of physics-based models. Compo- nent wear is driven by several...
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The subsurface uncertainty at West Virginia University Main Campus is dominated by the uncertainty in the projections of geofluid flowrate in the target formation, the Tuscarora Sandstone. In this...
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This dataset contains model code and supporting analysis files necessary to evaluate the impact of variability in human hepatic scaling factors. Variation in scaling factor values impacts...
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A historical conditions MODFLOW6 and SNTEMP model was developed to simulate groundwater flows and instream temperatures in Beaver Creek, Alaska during the study period and time just prior to the...
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This is a presentation on the Fracture Permeability Impact on Seismic Slip Behavior project by Lawrence Livermore National Laboratory, presented by Dr. Kayla A. Kroll. The project's objective is...
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S1. Additional details on model input data, parameter estimation, and model development (PDF) S2. Model input data and supplemental results (XLSX) S3. Model parameters assembled for the study...
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