We are happy to announce that our project TCFD-aligned climate hazards data set was selected by the Copernicus Climate Change Service for deployment as a Demo Case. The project aims at assembling a climate hazards data set to support financial institutions to assess physical risk for climate related financial disclosures in line with TCFD recommendations.
For more on TCFD-aligned climate hazards data visit the project page.
We are happy to announce that our project High-resolution climate projections was selected by the Copernicus Climate Change Service (C3S) for deployment as a use case. The project aims at producing a dataset of high-resolution CMIP5 climate projections through statistical downscaling using the latest C3S reanalysis products: ERA5 and ERA5-Land. Those reanalyses are becoming the most widely used data products to understand historical climate in adaptation studies, especially where observational data are scarce. Having CMIP5 projections on the same spatial resolution at daily scale provides a seamless view of the possible future climate.
During the first part of 2020, six essential climate land surface variables from all the CMIP5 projections available on the CDS are being downscaled globally (≈25x25km) using ERA5 and over Europe (≈9x9km) using ERA5-Land. Those six variables, the most requested by adaptation professionals, are temperature (daily, minimum, and maximum), surface precipitation, wind speed, and solar radiation. The data will be quality assured and methodological uncertainties will be quantified.
For more visit the project page.
Save the date! The H2020-funded project S2S4E will present its new Decision Support Tool (DST) for the renewable energy sector on 20 June at 2 pm at Norway House in Brussels (near Schuman). The DST has been carefully co-designed with leading industrial stakeholders to assist in decision-making and become a game-changer for the electricity market.
Renewable sources are key actors in the energy transition. However, complex climate information can sometimes be difficult to integrate into decision-making schemes. Climate services enhance the usability of climate information and can thus make the European energy sector more resilient to climate variability and contribute to more efficient renewable energy operations. This has crucial relevance for energy stakeholders and policymakers.
As a service developer and data provider, the climate data factory attended the General Assembly 2018 of CLARA (H2020) in Venice, Italy. It was a great opportunity to discuss next development steps for our "Post Processed Decadal Prediction (PPDP)" service.
EVENT | In January 2018, we attended the kickoff meeting of S2S4E, a European H2020 project focused on sub-seasonal to seasonal forecast. S2S4E aims at offering an innovative service to improve renewable energy variability management. Along this 3-years long program, we will work on post-processing methodologies to bias-adjust sub-seasonal to seasonal forecast.
EVENT | In june 2017, we attended the kickoff meeting of CLARA, a European H2020 project which aims at developing a set of leading edge climate services. Along this 3-years long program, we will coordinate tasks and work on post-processing methodologies to bias-adjust decadal predictions from CMIP5 experiment.