With the collaboration of Prof. Manabu Kanda and his students, Mr. Shota Kiyomoto, and Mr. Do Ngoc Khanh, we have released a new global map of hourly anthropogenic heat emission (AH4GUC) data at 1-km resolution. The time frames represented are the years surrounding 2010s and 2050s. The 2050s data assume SSP3-RCP8.5 socio-demographic and climate change scenarios.
Specifically, the highlights of this new dataset are as follows.
- Improved spatial heterogeneity of AHE distribution in urban centers with the incorporation of the VIIRS nighttime lights distribution maps of NOAA.
- Consideration of future changes in population distribution and energy consumption through a combination of available datasets: an urban-growth probability global map; SSP model outputs of country-level population, gross domestic product (GDP), and energy consumption; and RCP model outputs of near-surface air temperatures.
- Detection and incorporation of heat-emission point sources using open-source satellite products.
Most of our previous works on climate modeling utilize distributed anthropogenic heat emission datasets such as that of Dong et al. (2017) to consider precisely the uniqueness of each urban area depicted within the model grids. On-going work is being conducted by the students to evaluate the effects of anthropogenic heat to climate through the aforesaid datasets.
Reference: Varquez, A.C.G., Kiyomoto, S., Khanh, D.N. et al. Global 1-km present and future hourly anthropogenic heat flux. Sci Data 8, 64 (2021). https://doi.org/10.1038/s41597-021-00850-w