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Uncertainties about future climate and socioeconomic conditions challenge the design and implementation of adaptation measures. Deterministic methods, although helpful in reducing uncertainty and identifying optimal solutions, may fall short to identify flexible and robust strategies under rapidly and uncertain evolving circumstances. This is where robust decision-making approaches, such as Exploratory Modeling and Analysis (EMA), can […]

Anthropogenic climate change is already causing dangerous and widespread disruptions in global ecological and social systems and affects the lives of billions of people around the world. Even with scaled-up risk management and adaptation, the limits of adaptation will often be reached. Currently, very little is known about the degree to which societies can adapt […]

Water management in mountainous regions faces significant challenges due to deep uncertainties arising from data scarcity, knowledge gaps, and the complex interplay of climate and socio-economic changes. While existing approaches focused on uncertainty reduction and water system optimization contribute to managing uncertainties, they often require probability distributions that can be difficult to obtain in data-scarce […]

Risks to society that are triggered by a combination of extreme meteorological events and amplified by process cascades are difficult to analyze and have hardly been researched, especially in the context of climate adaptation. In this paper, we present the results of a case study aimed at closing knowledge gaps and “blind spots” in relation […]

The mountains of Central Asia support many environmental functions and ecosystem services. The mountain environments and their services are affected by climate change and climate change adaptation (CCA) actions are required to increase resilience of regional communities. This paper is a systematic review of the English and Russian-language literature published between 2013 (IPCC AR5) and […]

Advances in research on current and projected heat-related risks from climate change and the associated responses have rapidly developed over the past decade. Modelling architectures of climate impacts and heat-related health risks have become increasingly sophisticated alongside a growing number of experiments and socioeconomic studies, and possible options for heat-related health adaptation are increasingly being […]

This paper presents Climinator, a novel AI-based tool designed to automate the fact-checking of climate change claims. Utilizing an array of Large Language Models (LLMs) informed by authoritative sources like the IPCC reports and peer-reviewed scientific literature, Climinator employs an innovative Mediator-Advocate framework. This design allows Climinator to effectively synthesize varying scientific perspectives, leading to […]

Large Language Models have made remarkable progress in question-answering tasks, but challenges like hallucination and outdated information persist. These issues are especially critical in domains like climate change, where timely access to reliable information is vital. One solution is granting these models access to external, scientifically accurate sources to enhance their knowledge and reliability. Here, […]

Glacier lake outburst floods (GLOFs) initiate with the rapid outburst of a glacier lake, endangering downstream populations, land, and infrastructure. The flow initiates as a mud flow; however, with the entrainment of additional solid material, the flood will often transform into a debris flow. As the run-out slope flattens, the coarse solid material deposits and […]