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Current and future global climate impacts resulting from COVID-19

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TLDR
In this paper, the authors estimate that the direct effect of the pandemic-driven response will be negligible, with a cooling of around 0.01 ± 0.005°C by 2030 compared to a baseline scenario that follows current national policies.
Abstract
The global response to the COVID-19 pandemic has led to a sudden reduction of both GHG emissions and air pollutants. Here, using national mobility data, we estimate global emission reductions for ten species during the period February to June 2020. We estimate that global NOx emissions declined by as much as 30% in April, contributing a short-term cooling since the start of the year. This cooling trend is offset by ~20% reduction in global SO2 emissions that weakens the aerosol cooling effect, causing short-term warming. As a result, we estimate that the direct effect of the pandemic-driven response will be negligible, with a cooling of around 0.01 ± 0.005 °C by 2030 compared to a baseline scenario that follows current national policies. In contrast, with an economic recovery tilted towards green stimulus and reductions in fossil fuel investments, it is possible to avoid future warming of 0.3 °C by 2050.

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Journal ArticleDOI

Global Carbon Budget 2020

Pierre Friedlingstein, +95 more
TL;DR: In this paper, the authors describe and synthesize data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties, including emissions from land use and land-use change data and bookkeeping models.
Journal ArticleDOI

Impacts of COVID-19 on Energy Demand and Consumption: Challenges, Lessons and Emerging Opportunities

TL;DR: In this article, the impacts and challenges of COVID-19 pandemics on energy demand and consumption and highlights energy-related lessons and emerging opportunities are discussed. But, although the overall energy demand declines, the spatial and temporal variations are complicated.
Journal ArticleDOI

Global low-carbon energy transition in the post-COVID-19 era

TL;DR: In this article , the authors provide a comprehensive analysis of the dynamics between energy transition and COVID-19 around the world and propose a low-carbon energy transition roadmap in the post-pandemic era.
Journal ArticleDOI

Global low-carbon energy transition in the post-COVID-19 era

TL;DR: In this paper, the authors provide a comprehensive analysis of the dynamics between energy transition and COVID-19 around the world and propose a low-carbon energy transition roadmap in the post-pandemic era.
References
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Climate change 2007: the physical science basis

TL;DR: The first volume of the IPCC's Fourth Assessment Report as mentioned in this paper was published in 2007 and covers several topics including the extensive range of observations now available for the atmosphere and surface, changes in sea level, assesses the paleoclimatic perspective, climate change causes both natural and anthropogenic, and climate models for projections of global climate.
Proceedings ArticleDOI

XGBoost: A Scalable Tree Boosting System

TL;DR: XGBoost as discussed by the authors proposes a sparsity-aware algorithm for sparse data and weighted quantile sketch for approximate tree learning to achieve state-of-the-art results on many machine learning challenges.
Book ChapterDOI

Anthropogenic and Natural Radiative Forcing

TL;DR: Myhre et al. as discussed by the authors presented the contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) 2013: Anthropogenic and Natural Radiative forcing.
Journal ArticleDOI

Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period.

TL;DR: Using existing data to build a deterministic model of multiyear interactions between existing coronaviruses, with a focus on the United States, is used to project the potential epidemic dynamics and pressures on critical care capacity over the next 5 years and projected that recurrent wintertime outbreaks of SARS-CoV-2 will probably occur after the initial, most severe pandemic wave.
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