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WhoFromWhatNotes

Markus Reichstein

Max-Planck-Institute for Biogeochemistry
 WMO-G3W

Welcome, Motivation, some overview

Gianpaolo Balsamo

WMO-ECMWF

The Global Greenhouse Gas Watch in short

View file
nameG3W_intro_short_final.pdf
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Dario Papale

National Research Council Italy

GHGs Ecosystem level observations status


Philippe Ciais

LSCE, France

Near real time carbon budgets from multiple data-streams – first results


Mathew Williams

Uni of Edinburgh, UK

Reanalysis of ecological carbon dynamics – potential links to AI approaches


Vitus Benson

MPI BGC

GNNs for atmospheric transport of CO2


Christian Lessig

ECMWF

clessig_mlESM.pdf


Matthew Chantry

ECMWF

AIFS and beyond


Anna Agusti-Panareda

ECMWF

Considerations for CO2 AIFS


Further readings

  • The systematic carbon observations and the needs for policy-relevant carbon monitoring (Ciais et al. 2014)
  • The satellite and insitu observations for advancing Earth surface modelling: A review (Balsamo et al. 2018)
  • The first steps towards an operational predictions capacity of the near-term climate (Kushnir et al. 2019)
  • The European vision for a CO2MVS - CO2 Monitoring & Verification Support (Janssens-Maenhout et al. 2020)
  • The quantification of CO2 - Carbon dioxide emissions reduction during the COVID-19 (Le Queré et al. 2021)
  • The CHE - CO2 Human Emissions: First steps towards European operational capacity (Balsamo et al. 2021)
  • Global anthropogenic CO2 emissions and uncertainties as a prior for ESM and DA (Choulga et al., 2021)
  • The quantification of CH4 - Methane emissions from hotspots and during COVID-19 (McNorton et al. 2022)
  • The Copernicus Atmosphere Monitoring Service European GHGs reanalysis (Agusti-Panareda et al. 2023)
  • The European synthesis of CH4 & N2O emissions for EU27 and UK: 1990–2019 (Petrescu et al., 2023)
  • The European synthesis of CO2 emissions and removals for EU27 and UK: 1990–2020 (McGrath et al. 2023)
  • PLEASE ADD BELOW OTHERS Papers relevant for "AI for Carbon-Meteorology?" here with similar reporting style

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