A new global gridded anthropogenic heat flux dataset with high spatial resolution and long-term time series

Scientific Data
Kai JinShangyu Shi

Abstract

Exploring global anthropogenic heat and its effects on climate change is necessary and meaningful to gain a better understanding of human-environment interactions caused by growing energy consumption. However, the variation in regional energy consumption and limited data availability make estimating long-term global anthropogenic heat flux (AHF) challenging. Thus, using high-resolution population density data (30 arc-second) and a top-down inventory-based approach, this study developed a new global gridded AHF dataset covering 1970-2050 based historically on energy consumption data from the British Petroleum (BP); future projections were built on estimated future energy demands. The globally averaged terrestrial AHFs were estimated at 0.05, 0.13, and 0.16 W/m2 in 1970, 2015, and 2050, respectively, but varied greatly among countries and regions. Multiple validation results indicate that the past and future global gridded AHF (PF-AHF) dataset has reasonable accuracy in reflecting AHF at various scales. The PF-AHF dataset has longer time series and finer spatial resolution than previous data and provides powerful support for studying long-term climate change at various scales.

References

Dec 7, 2011·Environmental Science & Technology·Shushi PengRanga B Myneni
Apr 17, 2014·International Journal of Environmental Research and Public Health·Wangming YangXuefeng Cui
Jul 27, 2017·Journal of Environmental Management·Yuanfan Zheng, Qihao Weng
Aug 2, 2017·The Science of the Total Environment·Rui YaoQing Wang
Sep 21, 2007·Sensors·Christopher D ElvidgeRamakrishna Nemani
Mar 13, 2019·Scientific Data·Oliver SchmitzDerek Karssenberg

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Citations

Dec 11, 2020·The Science of the Total Environment·Mohammad Karimi FirozjaeiSeyed Kazem Alavipanah
Feb 24, 2021·Scientific Data·Alvin Christopher Galang VarquezManabu Kanda

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Software Mentioned

Flanner
ArcGIS
SPSS
Micro Excel

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