Climate models use quantitative methods to simulate the interactions of the important drivers of climate, including atmosphere, oceans, land surface, living things, and sea ice.

Our researchers use climate models to better understand the long-term effects of global changes such as the decreasing Arctic sea ice. Our models are used to simulate conditions over the next several years, so that we can predict how the region’s climate will likely change.

Targeted Effectiveness

Using targeted climate modeling will help us determine exactly where in the Arctic (including the Beaufort Gyre or Fram Strait) a deployment of our nontoxic reflective microspheres will have the greatest impact on climate stability, global temperatures, and Arctic ice volume. It will also help indicate what time of season, deployment size, and dispersal timing would achieve maximum effectiveness while minimizing amount of material and cost.

Due to the targeted process we’ve been conducting, our mission has as grown from slowing Arctic ice melt to actually restoring it. The collaboration with the team at Climformatics demonstrates this can be done.

Profound Results

Preliminary climate modeling shows that by spreading our nontoxic reflective microspheres on ice in the Arctic, we can:

  • Reduce Arctic average temperatures by 1.5°C

  • Increase ice volume by 10% over 40 years

  • Increase average ice thickness by 20-50cm

  • Reduce the climb in global temperatures

Combining the data received at our testing sites with expert climate modeling has led to profound results indicating the benefits of a strategic application of reflective sand in the Arctic. Our findings were published as a peer-reviewed paper in the American Geophysical Union's pre-eminent journal, Earth's Future.

Expert climate modeling is expensive, and so is the computer time to run our models. Thank you for any support you can offer to help advance our climate restoration mission.