The survey should take no more than 10 minutes to complete! (Closing date: Friday 14 June 2019) Survey aim To understand how climate modellers and other climate researchers use satellite-derived climate observations in their work. Survey results The results will inform the development of the 23 Essential Climate Variable (ECV) […]

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Matrix of root-mean-square deviation values
An enhanced version of the Earth System Model evaluation tool (ESMValTool, Eyring et al., 2016) has been developed that exploits a subset of Essential Climate Variables (ECVs) from the European Space Agency’s Climate Change Initiative (ESA CCI) Phase 2. This version of the ESMValTool has been used to demonstrate the […]

Benchmarking CMIP models with ESA CCI data using the ESMValTool

Five-panel plot showing a comparison between various ozone datasets
Forget the typical Numerical Weather Prediction assimilation paradigm: the more the better! If one had to decide between assimilating ozone products retrieved from a typical nadir-BUV (Backscatter UltraViolet) instrument or from an Infrared (IR) limb emission, what would the best choice be? Here the best choice is intended as the […]

Ozone retrieval assimilation: nadir-BUV or IR limb-emission?

Scientific map of cloud fraction across the world
Cloud feedback has been the largest source of uncertainty in estimating global mean surface temperature increase with global warming for more than twenty years. Water vapour is a greenhouse gas which acts as an insulator of the earth to the direct heat and cold from space, and helps to keep […]

Role of CCI datasets for cloud modelling

5-plot panel showing Météo France's case study results for the Mediterranean area
Météo France has extended the confrontation of models with CCI Sea Level data over the Mediterranean area to include the analysis of three coupled regional simulations (CNRM-RCSM, LMDZ-MED, MORCE-MED) and one Mediterranean Sea simulation (MED12) from the Med-Cordex multi-model ensemble. CCI data enables researchers to better assess model performance in […]

Use of CCI data over the Mediterranean area