Global 1-km present and future hourly anthropogenic heat flux

Alvin C.G. Varquez, Shota Kiyomoto, Do Ngoc Khanh, and Manabu Kanda

AH4GUC is an updated version of AHE dataset by Dong et al. An article of the dataset can be accessed here. In addition, a futuristic scenario based on SSP3-RCP8.5 is also constructed. Specifically, the highlights of this new dataset are as follows.

1. Improved spatial heterogeneity of AHE distribution in urban centers with the incorporation of the VIIRS nighttime lights distribution maps of NOAA.

2. 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.

3. Detection and incorporation of heat-emission point sources using open-source satellite products.

The full dataset (in integer geotiff format scaled by a factor of 100,000) can be accessed http and via anonymous ftp. Only specific browsers can open the ftp link directly. The most efficient way to access them is through dedicated file-transfer tools like FileZilla (most OS) or WinSCP (Windows only) with anonymous access (blank username and password).

Monthly and annual averages can be accessed through the figshare repository:

Varquez, A.C.G., Kiyomoto, S., Khanh, D.N., & Kanda, M. Global 1-km present and future hourly anthropogenic heat flux. figshare, https://doi.org/10.6084/m9.figshare.12612458.v6 (2020)

Furthermore, a visualization and download tool of the dataset was prepared by Do Ngoc Khanh (inspired by dewa108). Subsets at 5.0 x 5.0 degrees of the dataset can be accessed and downloaded here in netCDF format.

Citation:

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