CONsistent representation of temporal variations of boundary Forcings in reanalysES and Seasonal forecasts
CONFESS is a project funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement, under the call “Copernicus evolution: Research activities in support of the evolution of the Copernicus services”.
CONFESS will improve the reliability and usability of information provided by the Copernicus Climate Change service by capitalising on the synergies between Copernicus services, and pave the way for a continuous evolution of the service.
CONFESS has completed its first nine months of its planned activities, resulting in 7 deliverables, of which 8 are publicly available. CONFESS partners are busy preparing first data sets in the form of harmonized CAMS and CMIP6 datasets for … Continue reading CONFESS – 9 months in
The first set of deliverables have been published on the website. These include: D4.2 Project Website D4.3 Dissemination and Exploitation Plan D4.4 Media and Communication Plan All deliverables can be downloaded from the results pages here.
The first period of the CONFESS project running from 1 November 2020 to 31 October 2021 has just concluded, and an impressive list of results has been achieved. WP1 A harmonized observational Leaf Area Index (LAI) dataset covering the 1993-2019 period has been finalized and disseminated to CONFESS partners. The Land Use / Land Cover … Continue reading Year 1 highlights
A new deliverable provides the land use land cover data based on the ESA-CCI/C3S, and the Leaf Area Index data for the period of 1993 to 2019, based on harmonization of the CGLS/C3S data and the AVHRR based data. These data will be prescribed into the offline and coupled model to assess the impact of … Continue reading Vegetation dataset of Land Use/Land Cover and Leaf Area Index
Several sets of experiments are planned. A first category of experiments relate to developments in WP1 on the representation of time-varying land use and vegetation in land surface models and reanalyses.