Explore why historical climate data matters for making future decisions
In November 2020, our leading team of climate and energy data specialists launched Teal: a free, easy-to-use, interactive climate data visualisation tool. Teal enables you to explore climate variables and carbon emissions for the past 40+ years, from 1980 to near real time. Responding to users’ requests, we recently updated the Teal Tool, expanding our offerings of regional and state-level data. Data is now available up to the end of 2020 for all countries globally, with sub-country view for the 11 largest countries in the world.
Why does historical climate data matter?
Decisions about climate change are complex, costly and have long-term implications. Historical climate and energy data helps understand and learn from the past to move forward. We are introducing a series of weekly historical climate facts to showcase the types of insight available using Teal, robust data that can be used to make informed business management and development decisions. Teal historical data can benefit a range of industry sectors, including energy, water, agriculture and insurance and enables commercial users to establish a baseline to assess risks and vulnerabilities to their businesses operations and society.
Teal for decision-making in the commercial sector
WEMC has extensive experience working with a wide range of partners and stakeholders across the world to adapt historical climate and energy data to specific business needs. Through the SECLI-FIRM project, WEMC have developed a prototype based on Teal for project partner, ENEL. This tool plots historical climate and energy data, alongside climate and energy projections at county and sub-country levels. This version is intended for commercial audiences and Teal’s existing visual appeal and usability are key factors in its development.
In conclusion, Teal is much more than an easy-to-use data visualisation online tool. WEMC’s new weekly series of historical climate facts will help introduce businesses to the value of historical climate data for making future decisions.