ABSTRACT:

Cowed Watershed 14 (WS14) model data.

ABSTRACT:

Jupyter notebook for building and running Beetree.

ABSTRACT:

Model outputs for four scenarios...

Model run with normal lai and rain data.
Model run with reduced lai and normal rain data.
Model run with normal lai and reduced rain data.
Model run with reduced lai and reduced rain data.

ABSTRACT:

This HydroShare resource contains the required GIS variables for building and running RHESSys models for any watershed with a valid gage at the Coweeta Hydrologic Laboratory. Contained in the .zip file below are custom datasets that include the gage shape file, 10m DEM, isohyet map, custom LAI map, and roads. Running RHESSys requires climate data which is also provided for the base climate station. For the purpose of demonstrating the accompanying Jupyter NoteBook, observed discharge data is included for WS18.

The associated Jupyter NoteBook resource can be dowloaded here: https://www.hydroshare.org/resource/081cbdb68415450b8ac99a5fe3092b5c/

ABSTRACT:

This HydroShare resource contains the Jupyter NoteBook for building and running RHESSys models for watersheds at the Coweeta Hydrologic Laboratory. There are detailed, step-by-step instructions in this notebook that assist users in building their own watershed models.

To open the RHESSys-Jupyter NoteBook:
(1) Right-click on the .ipynb file below and select download.
(2) At the top of this page click APPS> Jupyter Python Notebook at NCSA
(3) In the new webpage, click the Jupyter logo in the top-left corner
(4) Select the "notebooks" directory and click "upload" in the top-right
(5) Upload .ipynb file from Step (1)

The associated GIS data for this notebook is here: https://www.hydroshare.org/resource/8bb37c7c98cf4bcd85e841092d7e3946/

ABSTRACT:

This HydroShare resource contains the required GIS variables for building and running RHESSys models for the Bolin Creek Watershed upstream of the USGS gage. Contained in the .zip file below are custom datasets that include:
(1) Gage shape file,
(2) 30m DEM,
(3) 10m DEM,
(4) 1m landcover from EnviroAtlas,
(5) climate data, and
(6) observed streamflow.

The associated jupyter notebook for building a RHESSys model using this data can be found here: https://www.hydroshare.org/resource/9d6660016b694a5a922e3127f61bfe7d/

ABSTRACT:

This HydroShare resource contains the Jupyter NoteBook for building and running RHESSys models for watersheds at the Bolin Creek Watershed in Chapel Hill, NC, USA. There are detailed, step-by-step instructions in this notebook that assist users in building their own watershed models.

To open the RHESSys-Jupyter NoteBook:
(1) Right-click on the .ipynb file below and select download.
(2) At the top of this page click APPS> Jupyter Python Notebook at NCSA
(3) In the new webpage, click the Jupyter logo in the top-left corner
(4) Select the "notebooks" directory and click "upload" in the top-right
(5) Upload .ipynb file from Step (1)

The associated GIS data for this notebook is here: https://www.hydroshare.org/resource/e49782b9a41645048c78f4a0be14860d/

ABSTRACT:

This resource is a tool for building RHESSys models. It implements the interface of Jupyter notebooks and the functionality of RHESSys workflows to streamline model generation. There are two files as part of this resource that can be downloaded below under the Contents sections. The first is a .ipynb file that has complete instructions for uploading custom data, building RHESSys models in the cloud, and downloading models to your local machine. The second file is a .zip file that serves as a template for formatting and uploading custom GIS and climate data to be used when building your RHESSys model.

To open the RHESSysWorkflows.ipynb file:
(1) Download the RHESSysWorkflows.ipynb file
(2) From the Hydroshare homepage click APPS>Jupyter Python Notebook at NCSA
(3) In the new window, click the Jupyter logo in the upper left
(4) Open the "notebooks" folder and click "upload" in the upper right
(5) Select the downloaded file from Step 1 and click the blue "Upload" button.
(6) Select the newly uploaded RHESSysWorkflows.ipynb file to open the notebook.

ABSTRACT:

Custom data of GIS data from the Shenandoah Watershed Study (SWAS). This file is ONLY for testing at the moment. The attached directory has example climate data and five gages that correspond to unique watersheds in SWAS.

ABSTRACT:

This collection of Hydroshare Resources contains three unique use cases for setting up RHESSys using RHESSysWorkflows. Choose the resource whose description best matches your required level of customization for model development.

Three Customization Options:
1) Standard Data + USGS Gage: Most general and widely applicable. It requires little user input.

2) Custom Data + USGS Gage: Utilizes USGS data but includes customizable options for other GIS inputs.

3) Custom Data + Custom Gage: Highly customizable. Requires preprocessing of GIS and other input data.

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[Internal Use] RHESSysWorkflows: Building a RHESSys Model

ABSTRACT:

This Hydroshare Resource contains a Jupyter notebook for building a RHESSys model using (1) a known USGS gage with (2) custom GIS data. It implements the interface of Jupyter notebooks and the functionality of RHESSys workflows to streamline model generation. There are two files as part of this resource that can be downloaded below under the Contents sections. The first is a .ipynb file that has complete instructions for uploading custom data, building RHESSys models in the cloud, and downloading models to your local machine. The second file is a .zip file of example data that can be used to step through the notebook. For more information on how to get started, open the jupyter notebook using the instructions below.

To open the jupyter notebook file file:
(1) Download the .ipynb file below
(2) From the Hydroshare homepage click APPS>Jupyter Python Notebook at NCSA
(3) In the new window, click the Jupyter logo in the upper left
(4) Open the "notebooks" folder and click "upload" in the upper right
(5) Select the downloaded file from Step 1 and click the blue "Upload" button.
(6) Select the newly uploaded RHESSysWorkflows.ipynb file to open the notebook.

ABSTRACT:

This Hydroshare Resource contains a Jupyter notebook for building a RHESSys model using (1) a known USGS gage with (2) standard GIS data. It implements the interface of Jupyter notebooks and the functionality of RHESSys workflows to streamline model generation. There are two files as part of this resource that can be downloaded below under the Contents sections. The first is a .ipynb file that has complete instructions for uploading custom data, building RHESSys models in the cloud, and downloading models to your local machine. The second file is a .zip file of example data that can be used to step through the notebook. For more information on how to get started, open the jupyter notebook using the instructions below.

To open the jupyter notebook file file:
(1) Download the .ipynb file below
(2) From the Hydroshare homepage click APPS>Jupyter Python Notebook at NCSA
(3) In the new window, click the Jupyter logo in the upper left
(4) Open the "notebooks" folder and click "upload" in the upper right
(5) Select the downloaded file from Step 1 and click the blue "Upload" button.
(6) Select the newly uploaded RHESSysWorkflows.ipynb file to open the notebook.

ABSTRACT:

This Hydroshare Resource contains a Jupyter notebook for building a RHESSys model using (1) custom gage data with (2) custom GIS data. It implements the interface of Jupyter notebooks and the functionality of RHESSys workflows to streamline model generation. There are two files as part of this resource that can be downloaded below under the Contents sections. The first is a .ipynb file that has complete instructions for uploading custom data, building RHESSys models in the cloud, and downloading models to your local machine. The second file is a .zip file of example data that can be used to step through the notebook. For more information on how to get started, open the jupyter notebook using the instructions below.

To open the jupyter notebook file file:
(1) Download the .ipynb file below
(2) From the Hydroshare homepage click APPS>Jupyter Python Notebook at NCSA
(3) In the new window, click the Jupyter logo in the upper left
(4) Open the "notebooks" folder and click "upload" in the upper right
(5) Select the downloaded file from Step 1 and click the blue "Upload" button.
(6) Select the newly uploaded RHESSysWorkflows.ipynb file to open the notebook.

ABSTRACT:

RHESSys model complete with worldfile for WS18 at the Coweeta Hydrologic Laboratory.

[To be used for teaching and training purposes]

ABSTRACT:

This file contains the raw synoptic soil moisture measurements reported and analyzed in Scaife et al., 2021. In this study, we synthesized measurements of soil moisture collected at the plot scale (defined as an area less than 100 m2) from across 212 sites in eight catchments over three regions of the eastern U.S. These sites included a range of land uses, landcovers, geomorphology, and soil conditions. Soil moisture was measured by several researchers over a period from 2001 to 2015 using comparable methods. The sampling strategies focused on spatial variation in soil moisture at plot and hillslope scales to capture spatial patterns within plots and along hillslopes. As a result, all sites were sampled from riparian or near stream to upland although there were variable arrangements of sampling plots within each watershed. Plots were sampled on weekly to monthly intervals depending on the site and season.

Soil moisture was measured using a standard handheld TH2O Thetaprobe ML2x (Dynamax, Inc, Houston, TX) to a 6 cm depth equal to the prong length. To insert the probe, the organic rich litter layer was removed exposing mineral soil and the probe was vertically inserted. Measurements were replicated 10 to 20 times per plot and made 24 hours or more after rainfall cessation to minimize the impacts of storms. Locations of each individual measurement within a 25 m2 plot was determined using a “random walk”. Replicating soil moisture measurements 10 to 20 times in each plot provides greater confidence in estimates of average soil moisture and helps characterize spatial heterogeneity of soil moisture at a given wetness level. Soil moisture was reported as the volumetric water content which relates the volume of water to the volume of soil with units vol/vol.

For more information, see the published manuscript: Scaife, C.I., Duncan, J.M., Lin, L., Tague, C., Band L.E. (2021). Are spatial patterns of soil moisture at plot scales generalizable across catchments, climates, and other characteristics? A synthesis of synoptic soil moisture across the Mid-Atlantic. Hydrological Processes.