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Master of Environmental Data Science
(2024)

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

Group Members: Sujan Bhattarai, Heather Childers, Sofia Ingersoll

Faculty Advisors: Daniel Kennedy

Client: National Center for Atmospheric Research

Deliverables:

Proposal

Description

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 Community Land Model (CLM) working group has completed a large parameter perturbation ensemble, testing the effects of over 200 model parameters. 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 parameter perturbation experiment. 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. 

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