Dear Amitava,

CMIP6 encompasses a diverse array of climate models, each possessing its unique strengths and weaknesses. Comprehensive information regarding these participating models is readily available on the official CMIP6 website. When selecting a model, it's important to consider various criteria, including its ability to accurately replicate historical climate conditions, its representation of critical climate processes, the spatial and temporal resolution it offers, and whether it provides the specific variables you require. To determine model availability for your desired variables and timeframes, consult the CMIP6 data availability resources, commonly accessible through the Earth System Grid Federation (ESGF) platform. Then, assess the performance of your chosen models by examining metrics such as root mean square error (RMSE), correlation coefficients, and biases when replicating historical climate conditions. Once you have made your model selections, you can proceed to download the data and commence your climate data projection analysis. It is crucial to adhere to best practices in data processing, implement bias correction techniques, and undertake comprehensive uncertainty quantification as part of your research methodology.

Best regards,

Thank you so much Brook.