CONFESS
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.
Latest News
CONFESS results feature in ECMWF’s 2023 Winter Newsletter
Featured Article titled: Updating land and aerosol properties to improve reanalyses and seasonal forecasts Authors: Magdalena A. Balmaseda; Tim Stockdale; Souhail Boussetta; Retish Senan; Gianpaolo Balsamo; Angela Benedetti; Tanya Warnaars Newsletter Number 174 – Winter 2023 (Published in January…
CONFESS 2nd General Assembly
CONFESS hosted its second General Assembly with project partners on the Wednesday, 1st December 2021 from 09:00 UK Time. All work package leaders and most of the project team members were present and presented the progress of the project.…
Upcoming Presentations of CONFESS
The month of May will be a busy time for the CONFESS consortium who will be presenting at a number of prestigious international events. The end of May is when EGU will hold their Annual General Assembly meeting, which…
Results Highlights
Homogenized record of tropospheric aerosol for reanalyses and reforecasts
Decadal variations of tropospheric aerosols can have a strong impact on the production of reanalyses and seasonal re-forecasts. In preparation for the next generation of C3S products, CONFESS has produced a homogenous and consistent multi-decadal record of tropospheric aerosols, exploiting the atmospheric composition capabilities that the Copernicus Atmosphere Monitoring Service (CAMS) has been developing in…
Improved Vegetation Variability
A new deliverable presents the results of improved vegetation variability on surface fluxes modeled with offline land surface models. In this deliverable, we present the integration of the unprecedented vegetation information, from the latest satellite campaigns in the frame of Copernicus, into the land surface models (LSMs) used for reanalysis and initialization of the seasonal…
Year 1 highlights
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 (LULC)…