Dear colleagues,

We invite you to submit your abstract to our AGU Fall Meeting session A064 - Eye Candy or Eye Sore?  The Technical and Philosophical Challenges of High-Resolution Climate Data Product Development. This session focuses on the technical challenges in developing downscaled climate projections – dynamical, statistical, hybrid, machine learning, etc., and observationally-based gridded climate data products for general use in the climate community. We solicit presentations that frankly describe weaknesses and strengths of existing climate datasets, biases that the community should know of, practical challenges of verification techniques, and compute limitations. We encourage presenters to discuss philosophical challenges such as when and where to apply bias correction, how to interpolate out-of-sample locations, sampling for model structural uncertainties, and/or GCM selection techniques.We also encourage presentations that intercompare publicly-available and widely-used climate datasets, both observationally-constrained and model-based, particularly those studies which intercompare different downscaled datasets to elucidate their respective biases, applicability, and fidelity. This session simultaneously catalogues climate data developer challenges to provide a listing of available downscaled datasets for community use. Such information is not comprehensively available in a centralized, open-source way.

The deadline for abstract submission is 2 August, 2023 at 23:59 p.m. ET/03:59 +1 GMT.  Abstracts will not be accepted for review after this date.
 
Hope to see you there!

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P.S. I'm moving from NCAR to the University of Wyoming soon! In August, please start directing email to melissa.bukovsky@uwyo.edu.