Data

This data bundle contains the final outputs from a VisTrails/SAHM workflow to model the potential distribution of 5 rare plants (Aliciella formosa, Sclerocactus cloverae, Townsendia gypsophila, Astragalus ripleyi, and Cymopterus spellenbergii) in northern New Mexico. These models utilized field data of spatially thinned occurrence locations and random background locations or random plus...

Model hindcasts were performed with a spectral wave model to quantify nearshore wave parameters along the Columbia River littoral cell, Oregon and Washington. The spectral wave model SWAN was used to simulate nearshore wave dynamics at 1-hr intervals along the coast between 2014 and 2023. A second hindcast simulated wave dynamics between 2010 and 2011. This data release describes the...

During water years 2016–2022 (a water year begins on October 1 and ends on September 30), the U.S. Geological Survey (USGS), in cooperation with the Illinois Environmental Protection Agency (Illinois EPA), operated continuous monitoring stations on eight of the major rivers in Illinois to better quantify nutrient and sediment loadings from the State of Illinois to the Mississippi River...

A model application using the phase-averaged wave model SWAN (in Delft3D) was developed to simulate wind waves in South San Francisco Bay, California, between 30 May 2021 and 19 May 2022. This data release describes the development of the model application, provides input files, and includes output from the model simulations in netCDF format. Model Application The model application...

TThis data release contains approximately three years of modeled chlorophyll-a—a proxy for planktonic algal biomass—transport through a 394-km portion of the Illinois River. Defined by four distinct reaches, model estimates include daily water balance, velocities, and algal biomass separated into its components of net growth, net loss, transported from upstream, and input from...

These data were compiled for/to provide an example and assess methods and results of pre-fire estimation of predicted differenced normalized burn ration (dNBR) for predicting post-fire debris flow hazard classification. Objective(s) of our study were to develop predictive models for burn severity, using variables of pre-fire conditions, for two large wildfires from 2020 in Colorado, USA...

These data were compiled for/to modeling efforts for U.S. Bureau of Reclamation National Environmental Policy Act (NEPA) analyses for the Colorado River in Grand Canyon, Arizona. Objective(s) of our study were to create revised monthly Lake Powell elevations and outflows from Bureau of Reclamation Colorado River Mid-term Modeling System (CRMMS) traces that incorporate the alternatives in...

Des Moines Water Works (DMWW) is a regional municipal water utility that supplies residential and commercial water resources to about 600,000 customers in Des Moines, Iowa, and surrounding municipalities in central Iowa. DMWW has identified a need for increased water supply and is exploring the potential for expanding groundwater production capabilities in the Des Moines River alluvial...

This data release contains the input, output, and model code used to run a transient simulation of a previously published (Walter and others, 2020) steady-state regional model of Long Island, N.Y. The original model code was updated to MODFLOW 6 (version 6.3.0) and incorporates monthly transient stress periods to simulate conditions from 2005-2019 following methods described in Walter...

A three-dimensional groundwater flow model, MODFLOW 6, was developed to provide a better understanding of the hydrogeology of the Harney Basin, southeastern Oregon. The model was used to investigate the historical groundwater-level decline and storage loss associated with anthropogenic groundwater demands. The model was calibrated to 1930 through 2018 conditions. This USGS data release...

This groundwater model archive documents a transient, regional-scale numerical model of the Long Island aquifer system that simulates hydrologic conditions for the period 1900-2019 using U.S. Geological Survey’s groundwater modeling software MODFLOW 6 (Hughes and others, 2017). The development and calibration of the numerical model is documented in Walter and others (2024). The model...

This data release contains MODFLOW 6 integrated hydrological model (IHM) that helps characterize the groundwater/surface-water interaction within the Sardon Catchment of western Spain. The model was used to quantify and reduce the overall model uncertainty to improve its reliability as a Decision Support Modeling (DSM) tool by improving the conceptualization and simulation of the...