03.06.2026

The Working Group on Numerical Experimentation (WGNE) is organising a workshop on systematic errors in Weather and Earth System Models. It will be hosted by the Indian Institute of Tropical Meteorology (IITM), in Pune (India) on 15th-19th February, 2027.

Please submit your abstracts using the following link:

https://app.oxfordabstracts.com/stages/82535/submitter 

The deadline to submit your abstract is 31 July, 2026.

Scientific focus

We are interested in abstract submissions on systematic errors in physics based or machine learning based models, of all components of the Earth System including coupled and individual component models. In broad, submissions can be made under one of these 6 topics. These topics invite contributions that help to increase understanding of the nature and cause of systematic errors in ESMs.

Diagnosing and Attributing Systematic Errors

  • Process-based and statistical diagnostics across scales

  • Structural vs parametric errors

  • Observational constraints and emergent relationships

  • Explainability and AI/ML-assisted attribution

  • Intercomparison between AI and physics based model outputs

  • Bias correction

  • Conditional and flow dependent systematic errors

Scale Interactions and Resolution Transitions

  • Resolution-dependent biases (from parameterized to resolved processes)

  • Multiscale error propagation and scale-aware modeling

  • New challenges and biases at km-scale resolution

  • Scale consistent evaluation and benchmarking

  • Use of model hierarchies, including single column models and constrained ESM components

Deficiencies in physical parameterisation 

  • Cloud microphysics and process-level biases

  • Cloud–radiation interactions

  • Aerosol-cloud-radiation interactions and feedbacks

  • Convective processes, organization, and extremes

  • Precipitation, diurnal cycle, and orographic effects

  • Ocean, sea-ice and wave model parameterisations

  • Land surface parameterisations

  • Physics-dynamics and physics-physics cross-component coupling

Coupled Earth System Feedbacks

  • Atmosphere–ocean–land–cryosphere interactions

  • Air–sea fluxes and surface exchanges

  • Boundary-layer, land-surface, and sea-ice processes

  • Coupling-induced biases across components

  • Coupled aerosol-chemistry-radiation processes

Impacts on Circulation, Variability, and Predictability

  • Large-scale circulation and modes of variability (e.g. monsoons, MJO, ENSO)

  • Stratosphere–troposphere coupling and composition effects

  • Biases in variability, extremes, and forecast skill

  • Pathways for bias mitigation and improved predictability

  • Representation of meteorological variability and its impact on atmospheric composition biases

Uncertainty and Ensembles

  • Characterization and attribution of systematic errors using ensembles, including stochastic parameterizations, spread–error relationships, multi-model approaches, and process-level attribution frameworks

  • Data assimilation and initialization biases

  • Systematic and random biases in reanalysis

  • Uncertainty estimation in ML-based data products

  • Strategies for spin-up of climate models

  • Uncertainty in Earth system model output

Further details

Full details on the conference, including objectives, programme, abstract submission instructions, and registration timeline are available on the event website:

👉 SEW 2027

The event is open to participants at all career stages, with particular encouragement for early-career researchers and colleagues from the Global South to participate. Limited travel funding is available for these participants.

We warmly invite you to submit an abstract and we look forward to seeing you in Pune in February 2027!

Keywords
WGNE SEW