Highly resolved satellite-remote-sensing-based land-use-change inventory yields weaker surface-albedo-induced global cooling

Abstract. Land-use change (LUC) is ranked as the second anthropogenic source of climate change after fossil fuel burning and yields negative albedo-induced radiative forcing (ARF). This cooling effect has been assessed using low spatiotemporally resolved LUC datasets derived from historical statistical data with large uncertainties. Herein, we implement a satellite-remote-sensing-derived highly resolved LUC dataset into a compact earth system model and reassess the global and regional surface ARF by LUC from 1983–2010 relative to 1750. We find that the magnitude of the negative ARF obtained from the present study is lower than that estimated by the Intergovernmental Panel on Climate Change by 20 %, implying a weaker cooling effect. The result reveals that the global LUC-induced surface albedo change may not significantly slow down global warming as was previously anticipated. Sub-Saharan Africa made the largest net contribution to the magnitude of the global ARF (39.2 %), due to substantial land-use conversions, typically the conversion from forest to other vegetation lands, which are accompanied by higher surface albedos. The most remarkable land cover changes occurred in East and Southeast Asia, which dominated the changes in the global ARF in recent decades. Based on major land cover types in these two regions, we infer that vegetation lands exert the most vital effect on global ARF variation.

Authors

Institutions

Publication Details

Journal
Atmospheric chemistry and physics
Published
2025-04-15
DOI
https://doi.org/10.5194/acp-25-4251-2025
Citations
2
Primary Topic
Urban Heat Island Mitigation
Type
article
Field-Weighted Citation Impact
1.60

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Highly resolved satellite-remote-sensing-based land-use-change inventory yields weaker surface-albedo-induced global cooling

Shu Min Tao, Jianmin Ma, Hong Gao, Xiaohu Jian et al.
2 citations
Atmospheric chemistry and physics
Urban Heat Island Mitigation
1.60
article

Highly resolved satellite-remote-sensing-based land-use-change inventory yields weaker surface-albedo-induced global cooling

Shu Min Tao, Jianmin Ma, Hong Gao, Xiaohu Jian, Ruiyu Zhugu, Yuan Zhao, Kai‐Jie Chen, Tao Huang, Junfeng Liu, Xiaodong Zhang, Xinrui Liu
article en
2 citations

Abstract

Abstract. Land-use change (LUC) is ranked as the second anthropogenic source of climate change after fossil fuel burning and yields negative albedo-induced radiative forcing (ARF). This cooling effect has been assessed using low spatiotemporally resolved LUC datasets derived from historical statistical data with large uncertainties. Herein, we implement a satellite-remote-sensing-derived highly resolved LUC dataset into a compact earth system model and reassess the global and regional surface ARF by LUC from 1983–2010 relative to 1750. We find that the magnitude of the negative ARF obtained from the present study is lower than that estimated by the Intergovernmental Panel on Climate Change by 20 %, implying a weaker cooling effect. The result reveals that the global LUC-induced surface albedo change may not significantly slow down global warming as was previously anticipated. Sub-Saharan Africa made the largest net contribution to the magnitude of the global ARF (39.2 %), due to substantial land-use conversions, typically the conversion from forest to other vegetation lands, which are accompanied by higher surface albedos. The most remarkable land cover changes occurred in East and Southeast Asia, which dominated the changes in the global ARF in recent decades. Based on major land cover types in these two regions, we infer that vegetation lands exert the most vital effect on global ARF variation.

Atmospheric chemistry and physicsVol. 25(7)
Peking University (CN), Lanzhou University (CN)
National Natural Science Foundation of China, Peking University, National Key Research and Development Program of China
Openalex Percentile: Top 19%
Urban Heat Island Mitigation
1.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.