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Narvaez_README_RSIF_2024.pdf (1.09 MB)
TEXT
Analyzing_the_dataset_08142024.R (159.47 kB)
TEXT
creating_urban_lightning_dataset_08142024.R (1.01 MB)
DATASET
pixels_lightning_month_year_v2.csv (38.35 MB)
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Code associated with: Effects of urbanization on cloud-to-ground lightning strike frequency: a global perspective

software
posted on 2024-08-22, 20:01 authored by Pablo Narvaez, Evan Gora, Stephen P. Yanoviak, Phillip Bitzer, Jeffrey Burchfield

Urbanization tends to increase local lightning frequency (i.e., the "lightning enhancement" effect). Despite many urban areas showing lightning enhancement, the prevalence of these effects is unknown, and the drivers underlying these patterns are poorly quantified. We conducted a global assessment of cloud-to-ground lightning flashes (lightning strikes) across 349 cities to evaluate how the likelihood and magnitude of lightning enhancement vary with geography, climate, air pollution, topography, and urban development. The likelihood of exhibiting lightning enhancement increased with higher temperature and precipitation in urban areas relative to their natural surroundings (i.e., urban heat islands and elevated urban precipitation), higher regional lightning strike frequency, greater distance to water bodies, and lower elevations. Lightning enhancement was stronger in cities with conspicuous heat island and elevated urban precipitation effects, higher lightning strike frequency, larger urban areas, and lower latitudes. The particularly strong effects of elevated urban temperature and precipitation indicate that these are dominant mechanisms by which cities cause local lightning enhancement.

File list:

Narvaez_README_RSIF_2024.pdf - contains complete project documentation and full metadata for the dataset pixels_lightning_month_year_v2.csv, including variables and definitions.

pixels_lightning_month_year_v2.csv

Analyzing_the_dataset_08142024.r - R code for analyzing dataset.

creating_urban_lightning_dataset_08142024.r - R code for analyzing dataset.



Funding

Smithsonian Tropical Research Institute, Earl S. Tupper Fellowship

Collaborative Research: Lightning-caused disturbance and patterns of recovery in tropical forests

Directorate for Biological Sciences

Find out more...

Collaborative Research: Lightning-caused disturbance and patterns of recovery in tropical forests

Directorate for Biological Sciences

Find out more...

Collaborative Research: Lightning-caused disturbance and patterns of recovery in tropical forests

Directorate for Biological Sciences

Find out more...

History

Geographic description

349 cities worldwide

Time period

January 2013-December 2020. Data collection completed.

Methodology

See full methodology in Narvaez_README_RISF_2024.pdf

Data provenance

The MIT License applied here is for code only. See the references below for the licensed data used in this global assessment.

Secondary Data Contact

datamanagement@caryinstitute.org

Data Sharing Statement

Cary Institute of Ecosystem Studies furnishes code and data under the following conditions: The code or data have received quality assurance scrutiny, and, although we are confident of their accuracy, Cary Institute will not be held liable for errors in the code or data. Code and data are subject to change resulting from updates in data screening or models used. To cite code or data, click on the Cite button on this page.

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    Evan Gora Lab

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