Understanding the Influence of Parameter Value Uncertainty on Climate Model Output: Developing an Interactive Web Dashboard

Scientists at the National Center for Atmospheric Research have recently
carried out several experiments to better understand the uncertainties
associated with future climate projections. In particular, the NCAR
Climate and Global Dynamics Lab (CGDL) working group has completed a large
Parameter Perturbation Experiment (PPE) utilizing the Community Land Model
(CLM), testing the effects of 32 parameters over thousands of simulations
over a range of 250 years. The CLM model experiment is focused on
understanding uncertainty around biogeophysical parameters that influence
the balance of chemical cycling and sequestration variables. The current
website for displaying model results is not intuitive or informative to
the broader scientific audience or the general public. The goal of this
project is to develop an improved data visualization dashboard for
communicating the results of the CLM PPE. The interactive dashboard would
provide an interface where new or experienced users can query the
experiment database to ask which environmental processes are affected by a
given model parameter, or vice versa. Improving the accessibility of the
data will allow professionals to use the most recent land parameter data
when evaluating the impact of a policy or action on climate change.