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GaiaFuture

Master Capstone Project with the Bren School of Environmental Data Science & Management

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

Introduction

Climate models are computer simulations that attempt to replicate the complex interactions between Earth’s systems. Improving the accuracy of climate models relies on evaluating uncertainty and minimizing error. The Climate and Global Dynamics Lab at the National Center for Atmospheric Research (NCAR) has recently carried out a Parameter Perturbation Experiment (PPE) to understand how the uncertainty of parameter values affected the output of their model, the Community Land Model (CLM); which simulates terrestrial processes. While the necessary data for the PPE has been collected, the data is stored in a collection of files that are difficult to interpret in their current form. The current website hosts visualizations for a portion of the PPE data, but contains no visualizations for data that more closely simulates Earth system interactions. These issues can be mitigated by developing an emulator with the internal complexity to isolate a one-to-one relationship between a parameter and climate variable, then display the predicted relationship. A publicly available emulator with these capabilities will allow scientists to easily interpret complex climate model outputs and offer insights on parameter-variable relationships that are not being predicted accurately by the model; which can lead to increased accuracy and precision of climate models.

Project Link

https://bren.ucsb.edu/projects/understanding-influence-parameter-value-uncertainty-climate-model-output-developing

Link to Client website: National Center for Atmospheric Research

https://ncar.ucar.edu/

Description of the Repositories

  • Prototype: Contains code for the development of the emulator
  • CLM5_PPE_Emulator: Contains code for developing the interactive components and launching the dashboard with Docker
  • GaiFuture: Contains the initial workflow setup, this repository acts as a notebook where students could test new ideas during the initial phase of the project

Futher Information

This project is completed as a partial requirement for the Master's capstone project at the Bren School of Environmental Science and Management at the University of California, Santa Barbara

Collaborators

Principal Investigator: Daniel Kennedy

Project Team:
Project Manager: Heather Childers
Communications Manager: Sofia Ingersoll
Data Manager: Sujan Bhattarai

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  1. CLM5_PPE_Emulator CLM5_PPE_Emulator Public

    Forked from djk2120/panel_testbed

    Testing panel

    Python 1

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