AWI GPT

Four tools—pangaeaGPT, ClimSight, AWI_chatbot, and CMIP6 search—use LLMs to enhance research and operations. pangaeaGPT aids dataset exploration, ClimSight provides location-specific climate insights, AWI_chatbot streamlines internal tasks at AWI, and CMIP6 search improves access to CMIP6 data.

2
mentions
5
contributors

Cite this software

What AWI GPT can do for you

Our team developed four interconnected tools—pangaeaGPT, ClimSight, AWI_chatbot, and CMIP6 search—that use Large Language Models (LLMs) to tackle challenges in scientific research and organizational efficiency.

These tools significantly benefit research and operations. pangaeaGPT allows efficient exploration of PANGAEA datasets, enabling search, analysis, and visualization via advanced AI models. It employs a multi-agent architecture, including specialized agents for dataset retrieval, dataframe analysis, and visualization—both general-purpose and domain-specific agents. A supervisor agent coordinates these components to effectively address user queries, tackling challenges in navigating complex environmental data.

ClimSight answers questions about climate change impacts on planned activities. Combining high-resolution climate data with LLMs, it provides actionable, location-specific information, supporting local decisions without barriers of scalability or expertise.

AWI_chatbot, for internal use at the Alfred Wegener Institute (AWI), assists employees with tasks by accessing internal documentation via Retrieval-Augmented Generation (RAG) technology. It streamlines operations with accurate responses to inquiries, such as setting up printers or arranging business trips.

CMIP6 search is specifically designed to improve access to CMIP6 data. It enhances the ability of researchers to search, request, and retrieve climate model data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), streamlining access to critical climate datasets for research and analysis. By leveraging LLMs, this tool makes the process of obtaining and working with CMIP6 data faster and more efficient, reducing complexity for researchers.

Our software serves distinct groups: pangaeaGPT aids researchers in accessing and analyzing environmental datasets; ClimSight helps policymakers obtain reliable climate change information for local decisions; AWI_chatbot assists AWI staff by simplifying access to internal information; CMIP6 search aids researchers in efficiently accessing and utilizing CMIP6 climate model data for advanced climate research.

Participating organisations

Alfred Wegener Institute for Polar and Marine Research (AWI)

Reference papers

Mentions

Contributors

NK
Nikolay V. Koldunov
Alfred-Wegener-Institut für Polar und Meeresforschung
AJ
Antonia Anna Jost
Alfred-Wegener-Institut für Polar und Meeresforschung
BS
Boris Shapkin
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
DP
Dmitrii Pantiukhin
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
IK
Ivan Kuznetsov
Alfred Wegener Institute for Polar and Marine Research