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Warming trends in Asia amplified by brown cloud solar absorption

Author

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  • Veerabhadran Ramanathan

    (Center for Clouds, Chemistry and Climate, Scripps Institution of Oceanography, UCSD, La Jolla, California 92037, USA)

  • Muvva V. Ramana

    (Center for Clouds, Chemistry and Climate, Scripps Institution of Oceanography, UCSD, La Jolla, California 92037, USA)

  • Gregory Roberts

    (Center for Clouds, Chemistry and Climate, Scripps Institution of Oceanography, UCSD, La Jolla, California 92037, USA)

  • Dohyeong Kim

    (Center for Clouds, Chemistry and Climate, Scripps Institution of Oceanography, UCSD, La Jolla, California 92037, USA)

  • Craig Corrigan

    (Center for Clouds, Chemistry and Climate, Scripps Institution of Oceanography, UCSD, La Jolla, California 92037, USA)

  • Chul Chung

    (Center for Clouds, Chemistry and Climate, Scripps Institution of Oceanography, UCSD, La Jolla, California 92037, USA)

  • David Winker

    (NASA Langley Research Center, Hampton, Virginia 23681-0001, USA)

Abstract

The heat is on By 2001, it was realized that the thick brown haze discovered over the Arabian Sea during the Indian Ocean Experiment (INDOEX: 1997-1999) was a persistent dry-season feature above Southern Asia. A UNEP report in 2002 raised concerns of major climate disruption if the sources of the haze, including biomass burning, were not controlled. NASA's TERRA satellite has since detected similar atmospheric brown clouds (ABCs) elsewhere. Atmospheric solar heating and surface dimming due to ABCs both drive climate change, and to quantify that change we need direct measurements like the two datasets presented this week. First, three stacked, autonomous, unmanned aircraft measured solar heating above the Indian Ocean. Second, the CALIPSO satellite tracked a 3-km-thick haze from the Indian Ocean to the Himalayas. Climate modelling with the data suggests that ABC-induced atmospheric warming resembles that induced by greenhouse gases, a possible explanation for Himalayan glacier retreat.

Suggested Citation

  • Veerabhadran Ramanathan & Muvva V. Ramana & Gregory Roberts & Dohyeong Kim & Craig Corrigan & Chul Chung & David Winker, 2007. "Warming trends in Asia amplified by brown cloud solar absorption," Nature, Nature, vol. 448(7153), pages 575-578, August.
    • Handle: RePEc:nat:nature:v:448:y:2007:i:7153:d:10.1038_nature06019
    DOI: 10.1038/nature06019
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    Cited by:

    1. Chao Chen & Yinglin Liang & Zhilong Chen & Changwu Zou & Zongbo Shi, 2024. "Black Carbon in Climate Studies: A Bibliometric Analysis of Research Trends and Topics," Sustainability, MDPI, vol. 16(20), pages 1-20, October.
    2. Richard S. Lindzen, 2007. "Taking Greenhouse Warming Seriously," Energy & Environment, , vol. 18(7), pages 937-950, December.
    3. Gautam, Mahesh R. & Timilsina, Govinda R. & Acharya, Kumud, 2013. "Climate change in the Himalayas : current state of knowledge," Policy Research Working Paper Series 6516, The World Bank.
    4. Zhaomin Ding & Panmao Zhai & Renguang Wu, 2024. "Impacts of anthropogenic forcing and internal variability on the rapid warming over the Tibetan Plateau," Climatic Change, Springer, vol. 177(1), pages 1-22, January.
    5. Downing, Andrea S. & Kumar, Manish & Andersson, August & Causevic, Amar & Gustafsson, Örjan & Joshi, Niraj U. & Krishnamurthy, Chandra Kiran B. & Scholtens, Bert & Crona, Beatrice, 2022. "Unlocking the unsustainable rice-wheat system of Indian Punjab: Assessing alternatives to crop-residue burning from a systems perspective," Ecological Economics, Elsevier, vol. 195(C).
    6. Kuifeng Luan & Zhaoxiang Cao & Song Hu & Zhenge Qiu & Zhenhua Wang & Wei Shen & Zhonghua Hong, 2023. "Aerosol Characterization of Northern China and Yangtze River Delta Based on Multi-Satellite Data: Spatiotemporal Variations and Policy Implications," Sustainability, MDPI, vol. 15(3), pages 1-24, January.
    7. Wang, Weiguang & Yu, Zhongbo & Zhang, Wei & Shao, Quanxi & Zhang, Yiwei & Luo, Yufeng & Jiao, Xiyun & Xu, Junzeng, 2014. "Responses of rice yield, irrigation water requirement and water use efficiency to climate change in China: Historical simulation and future projections," Agricultural Water Management, Elsevier, vol. 146(C), pages 249-261.

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