Dacre, H F; Western, L M; Say, D; O'Doherty, S; Arnold, T; Rennick, C; Hawkins, E (2021) Detectability of COVID-19 global emissions reductions in local CO 2 concentration measurements. Environmental Research Letters, 16 (9). 094043 ISSN 1748-9326

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Abstract

It is estimated that global anthropogenic carbon dioxide (CO 2 ) emissions reduced by up to 12% at the start of 2020 compared to recent years due to the COVID-19 related downturn in economic activity. Despite the large decrease in CO 2 emissions, no reduction in the trend in background atmospheric CO 2 concentrations has been detected. So, how long would it take for sustained COVID-19 CO 2 emission reductions to be detected in daily and monthly averaged local CO 2 concentration measurements? CO 2 concentration measurements for five measurement sites in the UK and Ireland are combined with meteorological numerical weather prediction data to build statistical models that can predict future CO 2 concentrations. It is found that 75 % of the observed daily variability can be explained by these simple models. Emission reduction scenario experiments using these simple models illustrate that large daily and seasonal variability in local CO 2 concentrations precludes the rapid emergence of a detectable signal. COVID-19 magnitude emissions reductions would only be detectable in the daily CO 2 concentrations after at least 38 months and in monthly CO 2 concentrations after 11 months of sustained reductions. For monthly CO 2 concentrations the time of emergence is similar for all sites since the seasonal variability is largely driven by non-local fluxes of CO 2 between the terrestrial biosphere and the atmosphere. The COVID-19 CO 2 anthropogenic emissions reductions are similar in magnitude to those that are required to meet the Paris Agreement target of keeping global temperatures below 2 ° C. This study demonstrates that, using measurements alone, there will be a considerable lag between changes in global anthropogenic emissions and a detected signal in local CO 2 concentration trends. Thus, there is likely to be a delay of several years between changes in policy designed to meet CO 2 anthropogenic emissions targets and our ability to detect the impact of these policies on CO 2 concentrations using atmospheric measurements alone.

Item Type:	Article
Keywords:	CO2 emissions policy, climate change, multiple linear regression
Subjects:	Environmental Measurement > Atmospheric Science, Emission and Security
Divisions:	Atmospheric Environmental Sciences
Identification number/DOI:	10.1088/1748-9326/ac1eda
Last Modified:	10 Jun 2026 10:24
URI:	https://eprintspublications.npl.co.uk/id/eprint/10429