Here you will find our latests news, updates about our work and our view about all things related to Big Data, climate services and health. Enjoy it and don't miss a thing: follow us on Social Media!
We're glad to announce that the upcoming 24th of March we'll be taking part in the event "Challenges and Solutions for Spain" organised by the Copernicus Climate Change Service, ECMWF, AEMET and BSC. Thie virtual event wants to highlight climate data solutions powered by Copernicus, with a special focus on energy, water management and extreme weather events.
Event "Challenges and Solutions for Spain"
When: 24th and 25th of March
Monitoring agricultural lands, their use and evolution over time; analysing the growth and sustainability of forests and urban areas to plan their management; or developing policies that lay out the agricultural strategies of whole regions. Land management takes care of multiple facets of our environment and is performed through a miriad of institutions: public administrations, regional and national governments and societal platforms.
In May 2018, Ed Hawkins launched a climate visualisation that made the rounds around the world. The Climate Stripes. A strikingly simple visualisation, to convey a powerful message: the rising temperatures due to climate change. No axis, no numbers. Just colours. The intention was, as Hawkins explains, “to start conversations around climate change”1, especially with people that never talk about climate. At Predictia, we usually find ourselves in a similar position.
Weather forecasting is an expansive market worldwide, projected to grow from an estimated USD 1.5 billion in 2020 to USD 2.3 billion by 20251. Forecasting, especially medium-term, provides useful insights to companies, businesses and public organisations, allowing them to plan ahead and prevent serious damage that comes from heat waves, heavy raining or extreme winds. However, maintaining a forecasting service is an investment that is usually weighed against other internal priorities and resources.
Just like the wheat grain suffers many transformations until it becomes bread, climate and meteorological data go through many processes until it reaches the end-user. So, how can we keep track of them, to ensure data quality, reliability and trustworthiness? Meet METACLIP