Using high-frequency data to quantify how urban nature affects air temperature and energy consumption
- DOI
- 10.1073/pnas.2619288123
- Published
- 2026-11-02
- Container
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1073/pnas.2619288123,
title = {Using high-frequency data to quantify how urban nature affects air temperature and energy consumption},
author = {Baolong Han and Tong Wu and Stephen Polasky and Zhengwu Cai and Xuelian Pan and Haoqi Wang and Gretchen Daily and Zhiyun Ouyang},
year = {2026},
journal = {Proceedings of the National Academy of Sciences},
doi = {10.1073/pnas.2619288123},
url = {https://doi.org/10.1073/pnas.2619288123}
}RIS
TY - JOUR TI - Using high-frequency data to quantify how urban nature affects air temperature and energy consumption AU - Baolong Han AU - Tong Wu AU - Stephen Polasky AU - Zhengwu Cai AU - Xuelian Pan AU - Haoqi Wang AU - Gretchen Daily AU - Zhiyun Ouyang PY - 2026 JO - Proceedings of the National Academy of Sciences DO - 10.1073/pnas.2619288123 UR - https://doi.org/10.1073/pnas.2619288123 ER -
APA
Han, B., Wu, T., Polasky, S., Cai, Z., Pan, X., Wang, H., Daily, G., & Ouyang, Z. (2026). Using high-frequency data to quantify how urban nature affects air temperature and energy consumption. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2619288123
Source records
- crossref · retrieved 2026-11-03T19:27:20.668Z