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Showing 1–8 of 8 results
Advanced filters: Author: Tamma Carleton Clear advanced filters

  • The authors assess the growing field of climate change health impact attribution. They show literature bias towards direct heat effects and extreme weather in high-income countries, highlighting the lack of global representation in current efforts.

    • Colin J. Carlson
    • Dann Mitchell
    • Christopher H. Trisos
    ResearchOpen Access
    Nature Climate Change
    Volume: 15, P: 1052-1055

  • Analysis of data on six stable crops, capturing two-thirds of global crop calories, allows estimation of agricultural impacts and the potential of global producer adaptations to reduce output losses owing to climate change.

    • Andrew Hultgren
    • Tamma Carleton
    • Jiacan Yuan
    ResearchOpen Access
    Nature
    Volume: 642, P: 644-652

  • Although air pollution may play a role in shaping suicide risk, the link has been difficult to estimate so far. This study quantifies the role of air quality improvements in the decline of suicide rates in China over the period 2013–2017, uncovering a causal link between particulate pollution and suicide.

    • Peng Zhang
    • Tamma Carleton
    • Maigeng Zhou
    Research
    Nature Sustainability
    Volume: 7, P: 260-269

  • Forecasts of the feedback between adaptive energy use and climate change show energy-based adaptation will lower global mean surface temperature in 2099 by 0.12 °C, reducing required Paris Agreement mitigation for 85 percent of committed countries.

    • Alexander C. Abajian
    • Tamma Carleton
    • Olivier Deschênes
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-15

  • This study introduces a novel framework for generating high-resolution, in-situ estimates of agricultural evapotranspiration (ET) using satellite-based ET data combined with machine learning. This approach is leveraged to assess the water-saving potential of various management strategies and in calculating irrigation efficiency across California’s Central Valley.

    • Anna Boser
    • Kelly Caylor
    • Tamma Carleton
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-10

  • This paper presents MOSAIKS, a system for planet-scale prediction of multiple outcomes using satellite imagery and machine learning (SIML). MOSAIKS generalizes across prediction domains and has the potential to enhance accessibility of SIML across research disciplines.

    • Esther Rolf
    • Jonathan Proctor
    • Solomon Hsiang
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-11

  • Using global data, econometrics and climate science to estimate the damages induced by the emission of one ton of carbon dioxide, climate change is projected to increase electricity spending but reduce overall end-use energy expenditure.

    • Ashwin Rode
    • Tamma Carleton
    • Jiacan Yuan
    Research
    Nature
    Volume: 598, P: 308-314