Articles | Volume 15, issue 8
https://doi.org/10.5194/essd-15-3623-2023
https://doi.org/10.5194/essd-15-3623-2023
Data description paper
 | 
11 Aug 2023
Data description paper |  | 11 Aug 2023

Global urban fractional changes at a 1 km resolution throughout 2100 under eight scenarios of Shared Socioeconomic Pathways (SSPs) and Representative Concentration Pathways (RCPs)

Wanru He, Xuecao Li, Yuyu Zhou, Zitong Shi, Guojiang Yu, Tengyun Hu, Yixuan Wang, Jianxi Huang, Tiecheng Bai, Zhongchang Sun, Xiaoping Liu, and Peng Gong

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Cited articles

Acuto, M., Parnell, S., and Seto, K. C.: Building a global urban science, Nat. Sustain., 1, 2–4, https://doi.org/10.1038/s41893-017-0013-9, 2018. 
Alberti, M., Correa, C., Marzluff John, M., Hendry Andrew, P., Palkovacs Eric, P., Gotanda Kiyoko, M., Hunt Victoria, M., Apgar Travis, M., and Zhou, Y.: Global urban signatures of phenotypic change in animal and plant populations, P. Natl. Acad. Sci. USA, 114, 8951–8956, https://doi.org/10.1073/pnas.1606034114, 2017. 
Borrelli, P., Robinson, D. A., Panagos, P., Lugato, E., Yang, J. E., Alewell, C., Wuepper, D., Montanarella, L., and Ballabio, C.: Land use and climate change impacts on global soil erosion by water (2015-2070), P. Natl. Acad. Sci. USA, 117, 21994–22001, https://doi.org/10.1073/pnas.2001403117, 2020. 
Brown de Colstoun, E. C., Huang, C., Wang, P., Tilton, J. C., Tan, B., Phillips, J., Niemczura, S., Ling, P.-Y., and Wolfe, R. E.: Global Man-made Impervious Surface (GMIS) Dataset From Landsat, NASA Socioeconomic Data and Applications Center (SEDAC) [data set], https://doi.org/10.7927/H4P55KKF, 2017. 
Castán Broto, V. and Bulkeley, H.: A survey of urban climate change experiments in 100 cities, Global Environ. Chang., 23, 92–102, https://doi.org/10.1016/j.gloenvcha.2012.07.005, 2013. 
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Short summary
Most existing global urban products with future projections were developed in urban and non-urban categories, which ignores the gradual change of urban development at the local scale. Using annual global urban extent data from 1985 to 2015, we forecasted global urban fractional changes under eight scenarios throughout 2100. The developed dataset can provide spatially explicit information on urban fractions at 1 km resolution, which helps support various urban studies (e.g., urban heat island).
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