ABSTRACT:

This model instance-type resource is the raw inputs dataset prepared for simulation of the shallow groundwater flow system of the James River watershed upstream of Richmond, Virginia (USA), using the MODFLOW-NWT model. The data are provided by Wesley Zell, U.S. Geological Survey (USGS), and are preliminary or provisional and are subject to revision. The data are being provided to meet the need for timely best science and are presented solely as an example for the workflow processes described in the paper (Essawy et al., In Revision). The data have not received final approval by the USGS and are provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the data.

ABSTRACT:

This is the engine used for the MODFLOW-NWT

ABSTRACT:

This app is used to execute the scuint package for the MODFLOW-NWT model. During testing of the work, this app is linked to a deployed EC2 machine on AWS. Full instruction is provided at https://github.com/uva-hydroinformatics/Sciunit_HydroShare_Implementation for how a user could deploy this on AWS to reproduce this work.

ABSTRACT:

This resource includes a packaged workflow created by the GeoTrust Sciunit-CLI tool. This workflow is used for preparing the input data for MODFLOW-NWT model and the Modflow-nwt model engine.

ABSTRACT:

This resource includes all the resources that were used in the online execution for the Modflow-NWT. This provides a local grouping of resources used for an analysis and allows the user to share or download this collection of resources more easily.

ABSTRACT:

This resource contains the prepared input data for the MODFLOW-NWT and the output from running the MODFLOW-NWT engine using the Sciunit-CLI tool. This resource is generated once user click "Open with" button from the resource that contains the raw data required to be processed to generate MODFLOW output. This resource is automatically created when the execution is done.

ABSTRACT:

Running the MODFLOW-NWT pre-processing script and model engine.

ABSTRACT:

This is a python script used to create the input data to the MODFLOW-NWT model engine.

ABSTRACT:

This resource includes a packaged workflow created by the GeoTrust Sciunit-CLI tool. This workflow is used for preparing the input data for MODFLOW-NWT model and the Modflow-nwt model engine.

ABSTRACT:

This is the first trial to convert SUMMA Docker container (https://hub.docker.com/r/bartnijssen/summa/) to Singularity. This conversion was done using docker2singularity (https://github.com/singularityware/docker2singularity) to generate a Singularity image from a Docker image.

ABSTRACT:

Summa model data

ABSTRACT:

This resource contains the sciunit package for reproducing The total ET for the Ball Berry stomatal resistance methods from Clark et al., 2015:

ABSTRACT:

Water data is all colors
lecturing on repeat interrupted by silent contributions
it swings in highs and lows, blown by the
shifting hue of smokey sunsets on purple mountains
majestic along the x-axis of chaos.

Water data is all genders, exhausted by trying
to synthesize heterogeneous variables into a box
that does not yet exist
to hold the size of innovation we need now.

Water data is all discplines, escaping the corner
of language, behavior and standards;
it pulses like a community protecting
what we drink, serve our families, and share with friends.

Water data, black hole of massive minutia
searching for the glimmer that will spark
the Age of Aquarius to control the fires,
when the headscarf to beard ratio is m=1.
and where Y = scientific progress; X = participation, and the intercept=0.

ABSTRACT:

Sciunit package for Sensitivity Analysis for Evapotranspiration according to the change of input parameters in the Reynolds Mountain East catchment using pySUMMA.

ABSTRACT:

This study uses Dakota to create a sensitivity analysis for Evapotranspiration according to the change of input parameters using a SUMMA model for the Reynolds Mountain East catchment.

This study includes eight parameters to analyze the impact on Evapotranspiration.