A new NASA sea level simulator lets you bury Alaska’s Columbia glacier in snow, and, year by year, watch how it responds. Or you can melt the Greenland and Antarctic ice sheets and trace rising seas as they inundate the Florida coast.
Computer models are critical tools for understanding the future of a changing planet, including melting ice, rising seas and shifting precipitation patterns. But typically, these mathematical representations — long chains of computer code giving rise to images of dynamic change — are accessible mainly to scientists.
The new simulator, however, allows anyone with a computer to perform idealized experiments with sea level and learn about its complexities. Developed by scientists at NASA’s Jet Propulsion Laboratory in Pasadena, California, the interactive platform, called the Virtual Earth System Laboratory (VESL), provides the public with a taste of how NASA models important Earth processes.
The platform will also prove useful to scientists as a convenient way to create visual representations of data.
While many interface tools are available to explore sea level effects, VESL stands apart for its strong representation of Earth’s cryosphere – the melting ice caps, ice sheets, and glaciers that are major contributors to sea level rise.
And the simulator is not just a simplified version of a model or a menu of preexisting results. It is direct access to the complex, number-crunching model itself, though with limited scenarios and factors that can be adjusted.
“It’s the real software, being used on the fly, live, without being prerecorded or precomputed,” said Eric Larour of JPL, who led VESL’s development. “You have access to a segment of an ice sheet model or sea level model, running NASA’s software.”
Despite these capabilities, VESL won’t overtax computers.
“A key to making the interface tool work is cloud computing,” Larour said. Instead of burdening your own computer with heavy demand, “you can access a JPL cloud to run big simulations.”
The VESL platform allows the user to control one or two parameters for each model scenario. For example, in a version of the model configured to represent Columbia Glacier, a slider allows users to change snowfall amounts and examine how the change affects the glacier’s behavior in subsequent years. For a sea level simulation, sliders control the rates at which the ice sheets on Antarctica and Greenland are melting.
“You can explore different aspects of the model that maybe even the scientists didn’t explore,” Larour said.
The site will be updated frequently to keep up with the latest, peer-reviewed research. Scientists will eventually be able to use the graphical interface to display and present new data sets or model results, while lay users will be able to replicate published research results for themselves using models that are “open source,” or publicly available.
“As we make progress, [the public] can rerun the science that we actually do,” Larour said. “If anybody has concerns or finds issues with our simulation, they have the ability to replicate our results. We would welcome feedback and inputs to improve our science.”
VESL was developed over five years by members of the Ice Sheet System Model development team at JPL and the University of California, Irvine (UCI), with the help of several students, including Dan Cheng from UCI and Gilberto Perez, who attended both Cal Poly Pomona and UCI.
The website hosting the simulator will also include a public outreach section, being developed by Daria Halkides, a scientist and outreach exhibit developer of Earth & Space Research in Seattle and a JPL affiliate.
“VESL was initially intended for scientists,” Larour said. “Then we realized it could also be an excellent tool for public outreach. These simulations are so easy to run, and visually so compelling, that any person from the public can go and run them and probably understand what is going on.”
You can find VESL at: https://vesl.jpl.nasa.gov/
Reference: “A JavaScript API for the Ice Sheet System Model: Towards on online interactive model for the Cryosphere Community” by Eric Larour, Daniel Cheng, Gilberto Perez, Justin Quinn, Mathieu Morlighem, Bao Duong, Lan Nguyen, Kit Petrie, Silva Harounian, Daria Halkides and Wayne Hayes, 4 December 2017, Geoscientific Model Development.
DOI: 10.5194/gmd-10-4393-2017
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