Woodwell Climate awarded $5M Google.org grant for use of AI to track permafrost thaw

“Nonprofits have told us that when they use AI, they’re able to reach their goals in a third of the time and at half the cost,” shared Brigitte Hoyer Gosselink, Director of Product Impact at Google.org. “The thawing of arctic permafrost is a timely issue the world needs to better understand so that we can take collective action. Google.org is proud to support Woodwell Climate Research Center to conduct permafrost thaw analysis in near real-time; work that is now possible thanks to advanced technology like AI.”

The grant is being given to Woodwell Climate Research Center as part of Google.org’s Impact Challenge on Climate Innovation, a $30M commitment to fund big bet projects that accelerate technological advances in climate information and action. In addition to funding support, Google.org will offer access to Google’s products and the support of a Google.org Fellowship, a pro bono program that matches Google employees—engineers, user experience designers, program managers and more—with nonprofits and civic entities for technical projects, full time for up to six months.

The three-year effort, being undertaken in partnership with University of Connecticut; National Center for Ecological Analysis and Synthesis, University of California Santa Barbara; National Center for Supercomputing Applications; Arizona State University; Alfred Wegener Institute; University of Alaska, Fairbanks; and Alaska Native Tribal Health Consortium, will focus on building automated workflows for geospatial product creation, AI models capable of identifying changes, patterns and trends, as well as environmental and climatic drivers, tera to petabyte scale permafrost thaw datasets.

In particular, the technology will enable scientists, decision makers, community members, and other interested groups and individuals to explore permafrost thaw features that formed during the previous month, check out seasonal forecasts of permafrost thaw, predict disturbance events based on weather forecasts, estimate carbon and infrastructure loss from abrupt permafrost thaw, and analyze the shape and size of permafrost thaw features and their patterns across the landscape over time. This resource will also be applicable beyond the scope of permafrost thaw, enabling experts to adapt this technology for other research areas and expand access to key climate data and actionable insights across a range of issues and regions of the world.

“Permafrost, often perceived as a distant phenomenon in the remote North, has broad impacts on the world that are yet not fully understood. The Arctic Data Center looks forward to preserving and sharing pan-Arctic permafrost datasets for anyone looking to find and utilize them for scientific research,” said Matthew Jones, Director of Informatics R&D at National Center for Ecological Analysis and Synthesis, University of California Santa Barbara. “Using this data, we collectively have the opportunity to understand the intricate and cascading effects of permafrost on a global scale and influence the trajectory of mitigation programs.”

“We will unlock the strengths of sub-meter resolution commercial satellite imagery and AI to create pan-Arctic scale geospatial map products of permafrost landforms, thaw disturbances, and human-built infrastructure,” said Chandi Witharana, Assistant Professor, University of Connecticut and project partner.

“We are excited to be working with Google.org to improve and extend the tools and data pipelines initially developed for the Permafrost Discovery Gateway (PDG) to new use cases. Closing the time gap between remote sensing data products becoming available and permafrost data products being published, such as the pan-Arctic sub-meter scale ice-wedge polygon dataset developed by Chandi Witharana and team, will hopefully help scientists and stakeholders better understand permafrost thawing at the pan-Arctic scale. We also hope to generalize some of the technologies and tools being developed so that more scientists can leverage this work to develop new permafrost-related data pipelines,” said Luigi Marini, Lead Research Software Engineer at the National Center for Supercomputing Applications (NCSA).

“It is great when we can connect researchers and teams such as NCSA’s scientific applications team, so that partnerships can develop to further scientific discovery,” stated Laura Herriott, Associate Director for Research Consulting at the NCSA. Herriott is also on the leadership team of Delta, co-PI on the new DeltaAI system, and co-PI for the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program. Computing resources offered by the National Science Foundation via Delta and the ACCESS Allocations supported the development of the pan-Arctic ice-wedge polygon dataset, which is published today and available to explore on the PDG.

“As a geospatial scientist and an AI researcher, it is really exciting to have the opportunity to develop cutting-edge geoAI to advance Arctic science, to inform climate actions and influence policies,” said Wenwen Li, Professor at Arizona State University and project partner. “I look forward to collaborating with our wonderful team to develop physics-informed, AI-based discovery tools that incorporate big, spatiotemporal data to identify new patterns, areas of rapid changes, and make forecasts on permafrost dynamics. Permafrost Discovery Gateway will host our new findings and tools and make them publicly accessible.”

“Permafrost is a central clock wheel in the complex mechanisms driving the ecological changes resulting from climate change—in the Arctic and in the rest of the world. The Permafrost Discovery Gateway will couple the strengths of high spatio-temporal remote sensing information and Machine Learning to advance our understanding of the resilience and vulnerability of permafrost to climate change across the landscape. As an ecologist and a modeler, I cannot wait to leverage this new information to develop predictive tools of permafrost thaw disturbances, and their impacts on the landscape, the carbon cycle and the global climate system.” said Hélène Genet, Associate Professor at the Institute of Arctic Biology at the University of Alaska Fairbanks.

“Permafrost covers a huge region of the northern hemisphere land mass and its disappearance either by gradual thaw but also by rapid thaw and erosion processes will fundamentally contribute to global climate change,” said Guido Grosse, Head of Permafrost research at Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, and project partner. “New geospatial methods and data processing techniques employed in this project jointly with experts from around the world will provide a first highly detailed look at permafrost thaw and its consequences at the pan-Arctic scale.”

“Once frozen and resilient, the Arctic is transforming into a landscape that is thawing and fragile. The Permafrost Discovery Gateway is a resource that communities can use to access data, explore climate change impacts, and find resources to adapt in healthy ways,” said Michael Brubaker, Director of Community Environment and Health at Alaska Native Tribal Health Consortium.

The effort will also collaborate with and provide more accurate, timely, and complete information to Permafrost Pathways, a major initiative also led by Woodwell Climate, funded through the TED Audacious Project and in partnership with the Arctic Initiative at Harvard Kennedy School and the Alaska Institute for Justice. “This funding through Google.org will allow us to take permafrost carbon modeling to the next level by including abrupt thaw and integrating AI solutions into the estimations of permafrost carbon losses, enabling us to monitor threats to infrastructure in near-real time, estimate future risk, and inform planning to help us better respond to and prepare for permafrost hazards in Alaska communities and beyond,” Liljedahl says.

More information about this project can be found here: blog.google/outreach-initiatives/google-org/google-permafrost-thaw-tracking