Challenges in Weather and Climate Modelling: Model Development, Verification, and Perspectives

Dear Colleagues,

Challenges in Weather and Climate Modelling: Model Development, Validation, and Perspectives" aims to investigate the characteristics (e.g., numerical schemes, effective resolution, physics parameterizations) of Numerical Weather Prediction (NWP) and climate modeling (CM) systems, as well as the evaluation and metrics for these modeling systems. Additionally, this Special Issue intends to explore the potential role of machine learning (ML) and artificial intelligence (AI) methods in complementing or addressing some limitations of the conventional models and the impact of the characteristics of the NWP and CM modeling systems on the impact models (e. g. hydrology, agriculture, energy, etc.) driven by these models.

Relevant topics include:

1. Characteristics (e. g. numerical schemes, effective resolution, etc.) of the modeling system that make them suitable for weather versus climate simulations.
2. Implications of model biases in capturing the variability at diurnal, seasonal, interannual timescales.
3. Connecting model characteristics to model skill in simulating extreme events.Evaluation metrics for NWP and Climate Modeling systems from both model development and model output perspectives.
4. Implications of the characteristics of weather and climate modeling systems on impact models that use the meteorological output as input.
5. Challenges related to convection permitting modeling and ensemble modeling.
6. Seamless prediction across the weather and climate continuum.
7. Prospects (including strengths and weaknesses) of AI and ML approaches in generating weather and climate information particularly at the community or sub-national scale.

Overall, this Special Issue welcomes submissions about the challenges and perspectives in Numerical Weather Prediction and climate modeling systems and the provision of weather and climate information for climate resilience.

Dr. Benjamin Lantei Lamptey
Dr. Lai Yung Ruby Leung
Dr. Jason Hickey
Guest Editors

Manuscript Submission Information

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• weather and climate modeling systems
• model development
• model verification
• machine learning
• artificial intelligence
• impact models
• climate resilience
• convection permitting models
• seamless prediction
• weather and climate continuum
• ensembles