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Showing 1–6 of 6 results
Advanced filters: Author: Edward Gryspeerdt Clear advanced filters

  • The radiative forcing due to aerosol-cloud interactions constitutes one of the largest uncertainties of anthropogenic radiative forcing. Direct satellite measurements of the relevant aerosol properties reveal that the resulting cooling from anthropogenic aerosols is much stronger than previously thought.

    • Otto P. Hasekamp
    • Edward Gryspeerdt
    • Johannes Quaas
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-7

  • Marine cloud reflectivity declined by 2.8%/decade (2003-2022) over the NE Pacific and North Atlantic, enhancing shortwave absorption beyond climate model projections. Here, the authors use an improved aerosol-climate model and show that aerosol reductions may account for 69% of the cloud reflectivity decline.

    • Knut von Salzen
    • Ayodeji Akingunola
    • Robert Wood
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-10

  • The global-mean temperature evolution over the course of the twenty-first century is uncertain. Simulations with an ensemble of thousands of climate models that reproduce observed warming over the past 50 years suggest that a mid-range greenhouse-gas emissions scenario without mitigation could lead to a warming of between 1.4 and 3 K by 2050, relative to 1961–1990.

    • Daniel J. Rowlands
    • David J. Frame
    • Myles R. Allen
    Research
    Nature Geoscience
    Volume: 5, P: 256-260

  • A consensus is emerging regarding the influence of aerosols on global precipitation patterns, although smaller-scale effects remain uncertain, according to a synthesis of recent work.

    • Philip Stier
    • Susan C. van den Heever
    • Wei-Kuo Tao
    Reviews
    Nature Geoscience
    Volume: 17, P: 719-732

  • Reductions in aerosol cooling as a result of shipping fuel regulations implemented in 2020 led to substantial positive radiative forcing globally, but this change is difficult to detect against a background of high natural variability,according to neural-network based analyses.

    • Jianhao Zhang
    • Yao-Sheng Chen
    • Graham Feingold
    ResearchOpen Access
    Communications Earth & Environment
    Volume: 6, P: 1-11