manuscript edits

paper/paper.bib

@@ -30,7 +30,7 @@ @inproceedings{mills2015introduction
   url={https://www.wudapt.org/wp-content/uploads/2015/05/Mills_etal_ICUC9.pdf}
 }
 @article{ching2018wudapt,
-  title={WUDAPT: An urban weather, climate, and environmental modeling infrastructure for the anthropocene},
+  title={WUDAPT: An urban weather, climate, and environmental modeling infrastructure for the {Anthropocene}},
   author={Ching, Jason and Mills, G and Bechtel, Benjamin and See, L and Feddema, J and Wang, X and Ren, C and Brousse, O and Martilli, A and Neophytou, M and others},
   journal={Bulletin of the American Meteorological Society},
   volume={99},
@@ -132,7 +132,7 @@ @article{wong2019evaluation
 }
 
 @software{modelamerica,
-  title={Model America: Data and Models for every {U.S.} Building},
+  title={Model {America}: Data and Models for every {U.S.} Building},
   author={New, Joshua and Bass, Brett and Berres, Andy and Clinton, Nicholas and Adams, Mark and Li, Fengqi and Stubbings, Avery and Chowdhury, Shovan},
   year={2021},
   publisher={ESS-DIVE repository},

paper/paper.md

@@ -35,10 +35,10 @@ bibliography: paper.bib
 ---
 
 # Summary
-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* [@kelsey_jordahl_2020_3946761] and *hamilton* [@DBLP:conf/vldb/KrawczykI22] 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)[@ching2009national; @mills2015introduction] 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](https://immm-sfa.github.io/naturf/).
+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* [@kelsey_jordahl_2020_3946761] and *hamilton* [@DBLP:conf/vldb/KrawczykI22] 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) [@ching2009national; @mills2015introduction] 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](https://immm-sfa.github.io/naturf/).
 
 # Statement of Need
-Fine-resolution, three-dimensional representations of urban surfaces are necessary to support weather modeling at informative scales for understanding urban microclimate effects on public health and energy use [@best2006progress]. NUDAPT/WUDAPT were both created to address this need, but data is only currently available for select regions [@ching2009national] and using inputs such as satellite data [@ching2018wudapt] that could introduce uncertainties in the parameters produced [@wong2019evaluation]. NATURF uses building-level data to represent urban surfaces at sub-kilometer resolutions, allowing the user to conduct studies at a high resolution at any location where building footprint and height data exist. A preliminary version of NATURF was used to calculate urban parameters and demonstrate that simulated new developments in the Chicago Loop neighborhood in Chicago Illinois, USA affect temperature and energy use both in the new developments and the preexisting neighborhoods [@allen2020impacts]. Their findings show that building effects on the microclimate can be modeled at 90m resolution, and they quantify how different configurations of urban developments affect not only the developments themselves but also neighborhoods that already exist. In this way, urban planners will be able to use NATURF to project how urban developments will affect meteorology within and outside of the new growth.
+Fine-resolution, three-dimensional representations of urban surfaces are necessary to support weather modeling at informative scales for understanding urban microclimate effects on public health and energy use [@best2006progress]. NUDAPT/WUDAPT were both created to address this need, but data is only currently available for select regions [@ching2009national] and using inputs such as satellite data [@ching2018wudapt] that could introduce uncertainties in the parameters produced [@wong2019evaluation]. NATURF uses building-level data to represent urban surfaces at sub-kilometer resolutions, allowing the user to conduct studies at a high resolution at any location where building footprint and height data exist. A preliminary version of NATURF was used to calculate urban parameters and demonstrate that simulated new developments in the Chicago Loop neighborhood in Chicago, Illinois, USA affect temperature and energy use both in the new developments and the preexisting neighborhoods [@allen2020impacts]. Their findings show that building effects on the microclimate can be modeled at 90m resolution, and they quantify how different configurations of urban developments affect not only the developments themselves but also neighborhoods that already exist. In this way, urban planners will be able to use NATURF to project how urban developments will affect meteorology within and outside of the new growth.
 
 Similar to NATURF, the open-source toolbox GeoClimate [@bocher2021geoclimate] aims to quantify the effect of urban features for climate models. Both tools provide outputs for WRF to be used with the NUDAPT/WUDAPT framework, but at different resolutions. GeoClimate is intended for the production of local climate zones, data classified as level 0 by WUDAPT used to approximate urban parameters within the zone [@ching2018wudapt]. NATURF produces level 2 data, precise urban parameter data at finer resolutions. The input data used by each tool influences the resolution of outputs; GeoClimate primarily uses OpenStreetMap data where building heights must be estimated while NATURF uses shapefiles with building height and footprint data included. For both tools, study areas at the neighborhood-scale have comparable memory usage and computational time. For larger areas, particularly at the city-scale, NATURF is more suited for use on high-performance computers (HPC) due to the number and complexity of interactions being calculated. Despite this, installation and execution of NATURF requires only a few minutes and edits to code, and the use of *hamilton* allows for the tracking of code execution progress. Additionally, NATURF can internally produce outputs ready for WRF whereas GeoClimate requires the installation and use of additional packages. While NATURF and GeoClimate both produce urban parameter data for urban microclimate modeling, NATURF does so at a higher resolution with flexibility to analyze complex interactions between buildings at multiple scales.