Nimbus is an open-source, interactive web-based tool for visualizing and analyzing multivariate climate simulations produced by the CliMA research group. This project was initiated at NASA JPL and CalTech during the Data to Discovery summer research program, and was selected for continued work by P.I. Tapio Schneider.

I was the CS lead for the summer project, working to interpret and analyze raw data from the researchers, and translate it into a customized application that helps them to better interact with the information they produce. This involved an iterative, participatory design process, weekly meetings with researchers, and collaboration with the designers in the program, Rachel Waterhouse and Barbara Alonso. I further collaborated on implementing the software with Rachel Waterhouse.

Continued work on the project has involved the addition of a new front interface that allows for the selection of a variety of cloud simulations. I designed and developed a map interface that displays many simulations and allows the user to see a preliminary view of the data. As part of the continued work I also developed a data parsing program in Julia, which translates the NetCDF data produced by CliMA to a binary JSON format that Nimbus reads, as well as a front end interface that allows the user to choose from a library of datasets. 

Github Repository

Design Process:

Project Mentors:
Santiago Lombeyda
Maggie Hendrie
Scott Davidoff
Hillary Mushkin

CliMA Collaborators:
Tapio Schneider
Akshay Sridhar
Lenka Novakova
Zhaoyi Shen