Skip to main content

Published April 09, 2018

The CHE Library of Simulations

Published April 09, 2018

The CHE Library of Simulations


One of the critical elements of a European contribution to a global "CO2 emission monitoring system" identified in the CO2 report commissioned by the European Commission is a constellation of CO2 satellites with imaging capability. Between 2011 and 2015, ESA conducted a detailed Phase A/B1 assessment for the CO2 imaging satellite concept CarbonSat (Bovensmann et al., 2010). In two science studies (LOGOFLUX-1, 2014; LOGOFLUX-2, 2015) supporting this assessment, it was demonstrated that such a satellite would allow observation of CO2 plumes of strong localized sources such as large cities and power plants and would help constrain emissions at the regional and national scale.

However, such emission quantification faces substantial challenges due to the limited precision of the satellite measurements, systematic biases introduced by incompletely accounting for the effects of aerosols and other factors in the retrieval, the limited spatial and temporal coverage and resolution of the observations, and the difficulty in separating the signals from natural CO2 fluxes from those of anthropogenic emissions.

To support the assessment of the requirements for a future space mission and the challenges introduced by the issues listed above, a library of realistic CO2 simulations for present-day and future emission scenarios, from the global to the regional and point-source scale is needed.

WP2 of the CHE project aims at producing such a library of simulations mimicking reality as closely as possible, so-called nature runs. This task involves six different institutes running five different atmospheric transport models. As these models diverge in many respects, the ensemble of simulations will enable a comprehensive assessment of the influence of different model resolutions and model formulations on the representation of atmospheric CO2 concentrations.

Simulations
Schematic of the interdependence of the different simulations and models

 



The CHE Library of Simulations

CHE has identified the following models and simulations for this purpose:

Models:

  • CAMS CO2 /IFS (ECMWF)
  • COSMO-GHG (Empa)
  • LOTOS-EUROS (TNO)
  • WRF-Chem and WRF-GHG (MPG and SRON)
  • EULAG (SPASCIA)

Global Simulations:

  • Two Anthropogenic emissions
    • tier-1 will use currently available emission data
    • tier-2 runs will benefit from an updated version of the EDGAR emission inventory and learn from the other runs of the library; will use an ensemble technique to provide an uncertainty estimate. In addition, a full chemistry module might also be considered for this second set of global runs.
  • Two Emission scenarios for future emissions
    • Business As Usual (BAU)
    • Climate Change (CC) mitigation measures.
  • Natural Emissions

European Simulations:

European Domain
Minimal European simulation domain
  • Anthropogenic emissions
  • Two Emission scenarios for future emissions
    • Business As Usual (BAU)
    • Climate Change (CC) mitigation measures.
  • Biogenic emissions

Berlin Simulations:

Berlin
Minimal Berlin simulation domain
  • Anthropogenic emissions
  • Biogenic emissions

Beijing Simulations:

  • Anthropogenic emissions
  • Biogenic emissions

Power Plant Test Case:

Powerplant
Power plant simulation domain

This is the starting point for the work in Work Package 2. If you would like to know more about the various simulations planned in CHE, please read deliverable D2.2 Model Systems and Simulation Configurations. This document compiles the configuration of the various simulations that are to be part of the library of runs produced in the WP2 of the CHE project. For each of the models used in this project, a short description is provided. Moreover, for every simulation from the global to the regional scale, the temporal and spatial definition of the domain, the choice of emission inventory and parametrisation, the initial and boundary conditions as well as the selected outputs are clearly defined.