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Date

13:00-16:00

Attendees

Attendees

Goals

Goals

  • AI for a Carbon-Meteorology Era: What are the building-blocks of a Carbon-AI-DTE?

Discussion items

WhoFromWhatNotes

Markus Reichstein &
 Gianpaolo Balsamo

Max-Planck-Institute for Biogeochemistry
 WMO-G3W

Welcome, Motivation, some overview

  • This meeting has an educational scope
  • As well as a call-to-ai scope

Richard Engelen

ECMWF

European efforts in Copernicus CAMS for a CO2MVS

  • Operational phase aligned with CO2M
  • Caveats of GHGs Reanalyses Data

Ana Bastos

MPI-BGC

RECAP-2 project and the next steps

  • RECAP-3 talks are ongoing
  • S.America/Brazil possible focus?

Philippe Ciais

LSCE-CEA

Overview of Carbon budgets challenges and Post-COVID lessons learnt

  • Post-COVID GHGs emissions less predictable
  • Diversity of GHGs reporting hampers difficulties of reconciliation

Dario Papale

National Research Council Italy

GHGs Ecosystem level observations status

  • Data availability is not so scarce
  • Data diversity is wide and can be challenge
  • Data standardisation and data purchase scheme important

Mathew Chantry

ECMWF

AIFS the ECMWF Artificial Intelligence Forecasting System and beyond

  • AIFS is a new NWP model and show already elements outperforming traditional models.

Vitus Benson

MPI BGC

GNNs for atmospheric transport of CO2

  • MPI-JENA Carbon Weather efforts

Christian Lessig

ECMWF

ML-ESM: Towards Machine Learning Earth System Models

  • Encouraging results on ML-ESM 
  • Useability of Multi-Model Output extend sampling
  • Combined with 

Matthew

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

  • Ecological perspectives in the DTE CARDAMOM

Martin JungVitus Benson

MPI BGC

GNNs for atmospheric transport of CO2

Christian Lessig

ECMWF

Large scale machine learning based Earth system models (foundation models, AtmoRep)

Action items

  •  Share a draft Agenda

FLUXCOM a brief update & lessons learnt

  • FLUXCOM 2.0 substantial improvement vs 1.0

Anna Agusti-Panareda

ECMWF

Considerations for CO2 AIFS

  • GHGs AI training caveats
  • budgets, fluxe, transport errors
  • Use nature runs? CATRINE project

Gianpaolo Balsamo

WMO-ECMWF

  • Why G3W and why WMO?
  • How is G3W going to help? 
  • What is G3W implementation timeline?
  • When is G3W going to be operational?

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

Action items

  •  Gianpaolo Balsamo to share a preliminar draft Agenda to gather comments by  
  •  Gianpaolo Balsamo to share the consolidated page with presentation material by  
  •  Markus Reichstein to propose a 1-hour discussion meeting based on what presented asap