Global nature run data with realistic high-resolution carbon weather for the year of the Paris Agreement

Author:

Agustí-Panareda AnnaORCID,McNorton Joe,Balsamo GianpaoloORCID,Baier Bianca C.,Bousserez Nicolas,Boussetta Souhail,Brunner Dominik,Chevallier FrédéricORCID,Choulga Margarita,Diamantakis Michail,Engelen Richard,Flemming Johannes,Granier Claire,Guevara Marc,Denier van der Gon HugoORCID,Elguindi Nellie,Haussaire Jean-Matthieu,Jung Martin,Janssens-Maenhout GreetORCID,Kivi RigelORCID,Massart Sébastien,Papale DarioORCID,Parrington MarkORCID,Razinger Miha,Sweeney Colm,Vermeulen AlexORCID,Walther Sophia

Abstract

AbstractThe CO2 Human Emissions project has generated realistic high-resolution 9 km global simulations for atmospheric carbon tracers referred to as nature runs to foster carbon-cycle research applications with current and planned satellite missions, as well as the surge of in situ observations. Realistic atmospheric CO2, CH4 and CO fields can provide a reference for assessing the impact of proposed designs of new satellites and in situ networks and to study atmospheric variability of the tracers modulated by the weather. The simulations spanning 2015 are based on the Copernicus Atmosphere Monitoring Service forecasts at the European Centre for Medium Range Weather Forecasts, with improvements in various model components and input data such as anthropogenic emissions, in preparation of a CO2 Monitoring and Verification Support system. The relative contribution of different emissions and natural fluxes towards observed atmospheric variability is diagnosed by additional tagged tracers in the simulations. The evaluation of such high-resolution model simulations can be used to identify model deficiencies and guide further model improvements.

Funder

EC | Horizon 2020 Framework Programme

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

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