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NATURF

RESOURCE

Publicly Accessible Repository
https://github.com/IMMM-SFA/naturf
https://doi.org/10.11578/dc.20220803.4
New Version
https://doi.org/10.11578/dc.20240531.1

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Abstract

The Neighborhood Adaptive Tissues for Urban Resilience Futures tool (NATURF) is a Python workflow that generates les readable by the Weather Research and Forecasting (WRF) model. The NATURF Python modules use shapefiles containing building footprint and height data as input to calculate 132 building parameters at any resolution and converts the parameters into a binary file format.
Developers:
ORCID [1] ;  Sweet-Breu, Levi ;  Seals, Matthew ;  Berres, Andy [1] ;  Vernon, Chris [2] ;  Rexer, Emily [2]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Release Date:
2022-08-31
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
Python
Version:
0
Licenses:
MIT License
Sponsoring Org.:
Code ID:
78359
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://github.com/IMMM-SFA/naturf
https://doi.org/10.11578/dc.20220803.4
New Version
https://doi.org/10.11578/dc.20240531.1

SAVE / SHARE



ORNL Badge

Citation Formats

Allen-Dumas, Melissa R., Sweet-Breu, Levi, Seals, Matthew, Berres, Andy, Vernon, Chris, and Rexer, Emily. NATURF. Computer Software. https://github.com/IMMM-SFA/naturf. USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth and Environmental Systems Science Division. 31 Aug. 2022. Web. doi:10.11578/dc.20220803.4.
Allen-Dumas, Melissa R., Sweet-Breu, Levi, Seals, Matthew, Berres, Andy, Vernon, Chris, & Rexer, Emily. (2022, August 31). NATURF. [Computer software]. https://github.com/IMMM-SFA/naturf. https://doi.org/10.11578/dc.20220803.4.
Allen-Dumas, Melissa R., Sweet-Breu, Levi, Seals, Matthew, Berres, Andy, Vernon, Chris, and Rexer, Emily. "NATURF." Computer software. August 31, 2022. https://github.com/IMMM-SFA/naturf. https://doi.org/10.11578/dc.20220803.4.
@misc{ doecode_78359,
title = {NATURF},
author = {Allen-Dumas, Melissa R. and Sweet-Breu, Levi and Seals, Matthew and Berres, Andy and Vernon, Chris and Rexer, Emily},
abstractNote = {The Neighborhood Adaptive Tissues for Urban Resilience Futures tool (NATURF) is a Python workflow that generates les readable by the Weather Research and Forecasting (WRF) model. The NATURF Python modules use shapefiles containing building footprint and height data as input to calculate 132 building parameters at any resolution and converts the parameters into a binary file format.},
doi = {10.11578/dc.20220803.4},
url = {https://doi.org/10.11578/dc.20220803.4},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20220803.4}},
year = {2022},
month = {aug}
}