naturf: a package for generating urban parameters for numerical weather modeling
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Baylor Univ., Waco, TX (United States)
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- DAGWorks Inc., San Francisco, CA (United States)
The Neighborhood Adaptive Tissues for Urban Resilience Futures tool (NATURF) is a Python workflow that generates files readable by the Weather Research and Forecasting (WRF) model. NATURF uses geopandas and hamilton to calculate 132 building parameters from shapefiles with building footprint and height information. These parameters can be collected and used in many formats, and the primary output is a binary file configured for input to WRF. This workflow is a flexible adaptation of the National/World Urban Database and Access Portal Tool (NUDAPT/WUDAPT) that can be used with any study area at any spatial resolution. The climate modeling community and urban planners can identify the effects of building/neighborhood morphology on the microclimate using the urban parameters and WRF-readable files produced by NATURF. More information on the urban parameters calculated can be found in the documentation.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth & Environmental Systems Science (EESS)
- Grant/Contract Number:
- AC05-00OR22725
- OSTI ID:
- 2376306
- Alternate ID(s):
- OSTI ID: 2396292
- Journal Information:
- Journal of Open Source Software, Journal Name: Journal of Open Source Software Journal Issue: 98 Vol. 9; ISSN 2475-9066
- Publisher:
- Open Source Initiative - NumFOCUSCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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