Global warming is directly linked to climate change, which has affected populations in various ways. To tackle this issue, several nations have agreed to limit the increase in global average temperature under the Paris Agreement, which also established the Enhanced Transparency Framework (ETF). This mechanism requires countries to submit Biennial Transparency Reports (BTR) to show the implementation of their Nationally Determined Contribution (NDC), ensuring the reliability and consistency of the information provided.

Climate transparency refers to the provision of clear, accessible, reliable and verifiable information on measures to combat climate change, including the measurement of greenhouse gas (GHG) emissions, actions to increase ecosystem resilience and access to finance. But how can statistics and data management contribute to this transparency?

In order to guarantee climate transparency, it is essential to have quality, reliable and coherent climate data, allowing for the generation of truthful information that leads to informed decisions with less margin for error.

This is where statistics and data management play a key role.

Statistics makes it possible to identify patterns and trends in data through the analysis of time series and forecasting methods, facilitating evidence-based decision-making. Without this science, it would be impossible to monitor the evolution of GHG emissions over the years, study their trends and predict their future impacts.

It is thanks to statistics that we can say, for example, that global temperatures have risen significantly since the Industrial Revolution in the 19th century.

Data management, on the other hand, covers the collection, storage, approval and dissemination of climate data. This process makes it possible to convert raw data into valuable information.

With the continuous increase in the quantity, speed and diversity of data, information management has become indispensable. Decisions are no longer theoretically based on intuition, but on rigorous analysis. Without reliable information, climate transparency would be compromised. Furthermore, effective data management allows countries to be accountable for their climate actions and commitments.

Thus, to guarantee climate transparency, statistics and data management are indispensable elements. Investing in these areas is essential to promote transparency and ensure that climate policies and strategies are based on concrete evidence. In a world where information has become a tool of power, climate data science must be a pillar for mitigating climate change.