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DOCUMENTATION | We released our first technical note called “Bias Adjusting Climate Model Projections”. This document is an overview intended for users who wish to apply climate model data in climate change impact studies, from local to global scale. You can open the document by clicking the cover below:

Cover bias adjusting climate model projection by the climate data factory

PRODUCT UPDATE | We now provide local climate information in more than 4,300 cities worldwide (> 100,000 inhabitants). We propose 5 climate variables: temperature, minimum temperature, maximum temperature, precipitation and solar radiation. In our next release, we’ll provide climate indicators across these cities. Start searching now and don’t hesitate to get back to us to share your insights and comments.

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.