Title:

Data and replication code for analyzing the variation in urban tree canopy and air temperature reduction in New Haven, Connecticut, 2019 - 2021

Author(s):

Locke, Dexter H.; Baker, Matthew; Alonzo, Micheal; Yang, Yichen; Ziter, Carly D.; Murphy-Dunning, Colleen; O’Neil-Dunne, Jarlath P.M.

Publication Year:

2024

How to Cite:

These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

Locke, Dexter H.; Baker, Matthew; Alonzo, Micheal; Yang, Yichen; Ziter, Carly D.; Murphy-Dunning, Colleen; O’Neil-Dunne, Jarlath P.M. 2024. Data and replication code for analyzing the variation in urban tree canopy and air temperature reduction in New Haven, Connecticut, 2019 - 2021. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2024-0012

Abstract:

Urban trees mitigate urban heat, and impervious surfaces increase air temperatures. But the relationships between land cover (tree canopy and impervious) and air temperature changes throughout the day. The tabular data included in this data publication are used to estimate those changing relationships, while controlling for cloud condition, elevation, location, trip, and wind speed per direction. Data were collected by a study coauthor, a university professor, a university staff member, and a group of incoming masters students using bicycle-mounted air temperature sensors in New Haven, Connecticut. The final dataset includes 156 rides taken between June 15 and September 15 in years 2019, 2020, and 2021. Measurements include the time of day, temperature anomaly (which is the outcome of interest; the temperature recorded via bicycle minus a suburban reference station at the same time), tree canopy and impervious cover percentages summarized with multiple buffer sizes ranging from 10 to 90 meters, cloudiness, elevation, and the wind speed and direction from a reference station. Also included in this package is the R code used to analyze these data.

Keywords:

climatologyMeteorologyAtmosphere; elevation; environment; structure; transportation; Climate change; Climatology; Ecology, Ecosystems, & Environment; Geography; Environment and People; Impact of people on environment; Urban natural resources management; Urban Heat Island; mobile sampling; distributed network; air temperature; bicycles; tree canopy; Connecticut; New Haven

Related publications:

• Locke, Dexter H.; Baker, Matthew; Alonzo, Micheal; Yang, Yichen; Ziter, Carly D.; Murphy-Dunning, Colleen; O’Neil-Dunne, Jarlath P.M. 2024. Variation in relationship between urban tree canopy and air temperature reduction under a range of daily weather conditions. Heliyon. 2024. https://doi.org/10.1016/j.heliyon.2024.e25041

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