Pages that link to "Item:Q46058"

The following pages link to Michael N Fienen (Q46058):

Displayed 50 items.

• Groundwater/surface-water interactions in the Partridge River Basin and evaluation of hypothetical future mine pits, Minnesota (Q55945) ‎ (← links)
• Assessment of groundwater trends near Crex Meadows, Wisconsin (Q56243) ‎ (← links)
• Approaches to highly parameterized inversion: PEST++ Version 5, a software suite for parameter estimation, uncertainty analysis, management optimization and sensitivity analysis (Q56330) ‎ (← links)
• Approaches in highly parameterized inversion: bgaPEST, a Bayesian geostatistical approach implementation with PEST: documentation and instructions (Q61458) ‎ (← links)
• Development and application of a groundwater/surface-water flow model using MODFLOW-NWT for the Upper Fox River Basin, southeastern Wisconsin (Q61929) ‎ (← links)
• Using models for the optimization of hydrologic monitoring (Q63037) ‎ (← links)
• cloudPEST - A python module for cloud-computing deployment of PEST, a program for parameter estimation (Q63173) ‎ (← links)
• Approaches to highly parameterized inversion: Pilot-point theory, guidelines, and research directions (Q63310) ‎ (← links)
• Simulation of groundwater flow and effects of groundwater irrigation on stream base flow in the Elkhorn and Loup River basins, Nebraska, 1895-2055: Phase Two (Q63628) ‎ (← links)
• Using prediction uncertainty analysis to design hydrologic monitoring networks: Example applications from the Great Lakes water availability pilot project (Q63746) ‎ (← links)
• Capture versus capture zones: Clarifying terminology related to sources of water to wells (Q145108) ‎ (← links)
• A tool for efficient, model-independent management optimization under uncertainty (Q145401) ‎ (← links)
• Depletion mapping and constrained optimization to support managing groundwater extraction (Q145693) ‎ (← links)
• SFRmaker and Linesink-Maker: Rapid construction of streamflow routing networks from hydrography data (Q146136) ‎ (← links)
• Towards improved environmental modeling outcomes: Enabling low-cost access to high-dimensional, geostatistical-based decision-support analyses (Q146169) ‎ (← links)
• Multi‐constrained catchment scale optimization of groundwater abstraction using linear programming (Q146453) ‎ (← links)
• Extending the capture map concept to estimate discrete and risk-based streamflow depletion potential (Q146529) ‎ (← links)
• Regression modeling of particle size distributions in urban stormwater: Advancements through improved sample collection methods (Q147572) ‎ (← links)
• Understanding the Day Cent model: Calibration, sensitivity, and identifiability through inverse modeling (Q148082) ‎ (← links)
• High-throughput computing vs. high-performance computing for groundwater applications (Q148247) ‎ (← links)
• Cross-scale interactions dictate regional lake carbon flux and productivity response to future climate (Q149334) ‎ (← links)
• Growing pains of crowdsourced stream stage monitoring using mobile phones: The development of CrowdHydrology (Q149712) ‎ (← links)
• Book review: Analytical groundwater modeling: Theory and applications using Python (Q150243) ‎ (← links)
• Modflow-setup: Robust automation of groundwater model construction (Q150603) ‎ (← links)
• Flopy: The Python interface for MODFLOW (Q150624) ‎ (← links)
• HESS Opinions: Repeatable research: what hydrologistscan learn from the Duke cancer research scandal (Q151110) ‎ (← links)
• A python framework for environmental model uncertainty analysis (Q151151) ‎ (← links)
• Virtual Beach 3: user's guide (Q155142) ‎ (← links)
• Effects of sea-level rise on barrier island groundwater system dynamics: ecohydrological implications (Q156751) ‎ (← links)
• TC Chamberlin Modeling Center (Q228251) ‎ (← links)
• Metamodels to bridge the gap between modeling and decision support (Q234075) ‎ (← links)
• A statistical learning framework for groundwater nitrate models of the Central Valley, California, USA (Q234409) ‎ (← links)
• A cross-validation package driving Netica with python (Q236547) ‎ (← links)
• Predicting recreational water quality advisories: A comparison of statistical methods (Q237886) ‎ (← links)
• The effect of particle size distribution on the design of urban stormwater control measures (Q238002) ‎ (← links)
• A semi-structured MODFLOW-USG model to evaluate local water sources to wells for decision support (Q238160) ‎ (← links)
• Evaluating the sources of water to wells: Three techniques for metamodeling of a groundwater flow model (Q238197) ‎ (← links)
• Scripting MODFLOW model development using Python and FloPy (Q238246) ‎ (← links)
• The international scale of the groundwater issue (Q238618) ‎ (← links)
• Crowdsourcing to Acquire Hydrologic Data and Engage Citizen Scientists: CrowdHydrology (Q242802) ‎ (← links)
• Partial least squares for efficient models of fecal indicator bacteria on Great Lakes beaches (Q244217) ‎ (← links)
• Nitrous oxide emissions from cropland: a procedure for calibrating the DayCent biogeochemical model using inverse modelling (Q244478) ‎ (← links)
• We speak for the data (Q244537) ‎ (← links)
• Bridging groundwater models and decision support with a Bayesian network (Q244543) ‎ (← links)
• MODFLOW-style parameters in underdetermined parameter estimation (Q245117) ‎ (← links)
• Social.Water - A crowdsourcing tool for environmental data acquisition (Q245837) ‎ (← links)
• Inverse modeling with RZWQM2 to predict water quality (Q251484) ‎ (← links)
• Towards reproducible environmental modeling for decision support: A worked example (Q253102) ‎ (← links)
• Integrated hydro-terrestrial modeling: Development of a national capability (Q253399) ‎ (← links)
• Groundwater model simulations of stakeholder-identified scenarios in a high-conflict irrigated area (Q253641) ‎ (← links)