Data and statistics are key to climate action

Without accurate data on emissions, we cannot take actions to curb them – countries must do more on monitoring and reporting

ClimateGlobal

Measuring the carbon monoxide released by wildfires in South America. These observations from the Copernicus Sentinel-5P satellite show the emissions from fires in the Pantanal, the world's largest wetland. ©European Union/Copernicus Sentinel-5P imagery

As global thought leaders devise solutions to tackle the climate crisis, whether they be technological, political, or ecological, these solutions must all have one thing in common – a solid founding on data and statistics.

While great progress has been made in measuring and tracking key emissions, we need further, faster action. There are a variety of techniques for estimating such data, such as remote sensing technology, models based on energy use and emissions factors, and on-site measurements that are modeled to larger territories. 

However, many countries do not regularly submit inventory data to the UN Framework Convention on Climate Change (UNFCCC) and the way data is reported is not always standardized – the methods countries use to estimate emissions may not match the UNFCCC reporting guidelines for national agencies tasked with inventorying emissions. Eurostat, the statistical service of the EU Commission, is not able to provide harmonized estimates of phosphorus and nitrogen emissions in agricultural land for European countries because not all countries report on the same sources of emissions or the same types of land. It is essential that all countries continue to invest in their capacity not only to monitor emissions but to report them in a harmonized and standardized way. 

In addition to territorial emissions, countries must make urgent progress in monitoring their consumption-based emissions, or what the United Nations Sustainable Development Solutions Network (SDSN) refers to as “spillover effects” in our annual Sustainable Development Report. While many European countries do indeed show declining CO2 emissions in their territory, this decline does not account for emissions outsourced to developing countries that manufacture European imports. There are initiatives at universities and research centers to quantify and monitor these impacts, notably using multi-region input–output databases, but their resources are limited given the scale and urgency of the problem. 

Finally, it is important not only to have robust data, but also precise targets against which countries can benchmark these data. Having clear, time-bound, quantitative targets for indicators of environmental harms allows countries to:

  • determine if their rate of progress is sufficient
  • identify where their greatest priorities lie

While extensive modeling work had yielded some estimates for per capita targets of CO2 emission equivalents for different warming scenarios, we lack clear scientific consensus on targets for other drivers of climate change.

If we cannot accurately measure harms to the environment, it will not be possible for countries to take decisive action to improve. 

Share post:

Related articles

Good intentions aren’t enough: the need for effective SDGs policy implementation

SDG-related initiatives are increasingly under attack from the more right-wing, populist parts of the political spectrum, who portray the Goals as misguided, wasteful, vain, and coercive. How can cities and local governments enhance their policymaking and implementation, and – crucially – secure buy-in to ensure initiatives achieve their intended outcomes?

Stefano Marta

Is clean technology transfer an empty promise?

Technology transfer is fundamental in developing countries’ aspirations to decarbonize, yet the flow of green tech from developed nations is far below what’s needed. How can we shift investment and political incentives to truly enable the proliferation of sustainable technology worldwide?

Silvia Weko

Can AI help us achieve the SDGs?

As momentum on the SDGs stalls, AI’s promise of exponential growth could offer much-needed rapid acceleration across the 2030 Agenda. To harness AI effectively, we must ensure it serves those most in need, and that all countries – not just those in the Global North – can tap into its development benefits

Paul Jasper