smrf | taking measured weather data , or atmospheric models

by USDA-ARS-NWRC Jupyter Notebook Version: v0.11.7 License: Non-SPDX

X-Ray Key Features Code Snippets(3)Community Discussions Vulnerabilities Install Support

kandi X-RAY | smrf Summary

smrf is a Jupyter Notebook library. smrf has no bugs, it has no vulnerabilities and it has low support. However smrf has a Non-SPDX License. You can download it from GitHub.

Spatial Modeling for Resources Framework (SMRF) was developed by Dr. Scott Havens at the USDA Agricultural Research Service (ARS) in Boise, ID. SMRF was designed to increase the flexibility of taking measured weather data and distributing the point measurements across a watershed. SMRF was developed to be used as an operational or research framework, where ease of use, efficiency, and ability to run in near real time are high priorities. Read the full documentation for SMRF including up to date installation instructions.

Support

Quality

Security

License

Reuse

Support

smrf has a low active ecosystem.

It has 8 star(s) with 4 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 39 open issues and 107 have been closed. On average issues are closed in 443 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of smrf is v0.11.7

Quality

smrf has no bugs reported.

Security

smrf has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

smrf has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

smrf releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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smrf Key Features

No Key Features are available at this moment for smrf.

smrf Examples and Code Snippets

Spatial Modeling for Resources Framework,Installation

Jupyter Notebook

Lines of Code : 5

License : Non-SPDX (NOASSERTION)

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python3 -m pip install smrf-dev

git clone https://github.com/USDA-ARS-NWRC/smrf.git

python3 -m pip install -r requirements_dev.txt .[tests]
python3 setup.py install

python3 -m unittest -v

Spatial Modeling for Resources Framework,Docker

Jupyter Notebook

Lines of Code : 2

License : Non-SPDX (NOASSERTION)

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docker run -v :/data usdaarsnwrc/smrf run_smrf 

docker run -v :/data/input -v :/data/output usdaarsnwrc/smrf run_smrf

Spatial Modeling for Resources Framework,Running SMRF

Jupyter Notebook

Lines of Code : 1

License : Non-SPDX (NOASSERTION)

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run_smrf

Community Discussions

No Community Discussions are available at this moment for smrf.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install smrf

To install SMRF locally on Linux of MacOSX, first clone the repository and build into a virtual environment. This requires gcc <= 9.0. The general steps are as follows and will test the SMRF installation by running the tests. Clone from the repository. And install the requirements, SMRF and run the tests. To optionally verify the installation, run the unit tests. For Windows, the install method is using Docker.
The topo provides SMRF with the following static layers:. All these layers are stored in a netCDF file, typically referred to the topo.nc file. While the topo.nc file can be generated manually, a great option is to use basin_setup which creates a topo file that is compatible with SMRF and AWSM.
Digital elevation model
Vegetation type
Vegetation height
Vegetation extinction coefficient
Vegetation optical transmissivity
Basin mask (optional)

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: