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Updated: Feb 24, 2026
09:55
Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
Published on: December 12, 2013
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A new global anthropogenic heat estimation based on high-resolution nighttime light data.
Wangming Yang1, Yibo Luan2, Xiaolei Liu1
1Master of science, State Key Laboratory of Earth Surface Processes and Resource Ecology, School of System Science, Beijing Normal University, Beijing, China.
Scientific Data
|August 23, 2017
Summary
This study developed a new method to estimate global anthropogenic heat (AH-DMSP) emissions. The high-resolution dataset provides reliable data for climate change and urban ecosystem research.
Area of Science:
- Environmental Science
- Climate Science
- Urban Ecology
Background:
- Fossil fuel consumption drives global warming and climate change through greenhouse gas emissions.
- Increasing anthropogenic heat from energy use significantly impacts urban ecosystems and surface energy balance.
- Accurate global anthropogenic heat data is crucial for understanding these impacts.
Purpose of the Study:
- To develop and validate a novel method for estimating the global anthropogenic heat budget.
- To create a high-precision, high-resolution global dataset of anthropogenic heat.
- To provide reliable data for climate change and urban ecosystem research.
Main Methods:
- A statistical algorithm was employed to estimate annual mean anthropogenic heat (AH-DMSP).
- The estimation covered the period 1992-2010 at a 1x1 km² spatial resolution globally.
- The AH-DMSP dataset was validated at provincial and city scales.
Main Results:
- The developed AH-DMSP dataset demonstrates high precision and finer spatial distribution compared to existing global datasets.
- Validation confirmed the dataset's reliable performance at both provincial and city scales.
- The dataset offers multi-scale anthropogenic heat information.
Conclusions:
- The AH-DMSP dataset provides a valuable resource for studying regional and global climate change.
- This data can enhance research on the impacts of anthropogenic heat on urban ecosystems.
- The method offers a reliable approach for global anthropogenic heat budget estimation.
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