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