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Date

13:00-16:00 zoom link https://zoom.us/j/96954930953?pwd=MWlKK2dvUlNQZ0RSQTQ3MjgxaitPdz09

 

Attendees

Goals

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

Discussion items

WhoFromWhatNotes

Markus Reichstein

Max-Planck-Institute for Biogeochemistry

Welcome, Motivation, some overview

  • This meeting has Educational scope
  • as well as call-to-ai scope

Richard Engelen

ECMWF

European effort in Copernicus CAMS for a CO2MVS

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

Ana Bastos

MPI-BGC

RECAP-2 and next steps

  • RECAP-3 talks 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 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 Williams

Uni of Edinburgh, UK

Reanalysis of ecological carbon dynamics – potential links to AI approaches

  • Ecological perspectives in the DTE CARDAMOM

Martin Jung

MPI BGC

FLUXCOM and Lessons learnt?


Anna Agusti-Panareda

ECMWF

Considerations for CO2 AIFS

  • GHGs AI training caveats
  • budgets, fluxes and transport errors

Gianpaolo Balsamo

WMO-ECMWF

The Global Greenhouse Gas Watch in short G3W_introduction

  • 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

  • Share a preliminar draft Agenda to gather comments by  
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