Search arXivSearch

arXiv · 2504.13907

Contrail, or not contrail, that is the question: the "feasibility" of climate-optimal routing

Abstract

The environmental impact of aviation has been a focus of significant research for several decades. While there is a broad consensus among stakeholders on reducing carbon emissions, leading to efforts to improve route efficiency in air traffic management, the impact of non-carbon emissions like contrails has sparked a different debate. Some organizations have already moved to pre-operational trials for contrail avoidance through flight re-routing, with recent industry projects fast-tracking these operational strategies. This paper addresses the practical challenges of implementing contrail-aware routing. Building on our previous research, which enables the generation of wind-optimal 4D trajectories using grid-like cost functions, we utilize the TOP tool and the OpenAP aircraft performance model to analyze the trade-offs between fuel consumption and contrail avoidance. We also examine the impact of weather forecast uncertainty on contrail mitigation, the effects on airspace capacity and network operations, and the implications for aviation regulatory frameworks. To investigate these challenges, we reconstructed a dataset from OpenSky data, encompassing all flight trajectories over Europe on a day with significant contrail potential. Our data-driven analysis highlights the potential difficulties in implementing contrail-optimal routing in practice, particularly concerning uncertainties in weather forecasts, impacts on airspace capacity, and questions of responsibility for optimal routing. Overall, we argue that contrail-optimal routing should be approached with caution, as its implementation may not be as straightforward as some stakeholders suggest.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Junzi Sun, Xavier Olive. 2025-06-26. Contrail, or not contrail, that is the question: the "feasibility" of climate-optimal routing. https://arxiv.org/abs/2504.13907

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Self-Reference in Large Language Models: The Introspection Threshold for Recursive Self-Improvement

The pursuit of self-evolving AI raises a critical question: when is autonomous self-improvement sustainable rather than degenerative? Drawing an analogy to von Neumann's complexity threshold for self-reproducing automata, we argue that sustainable recursive self-improvement in Large Language Models (LLMs) requires a functional analogue: introspection -- the system's capacity to simulate its own operations and target modifications. Grounded in Kleene's Second Recursion Theorem, we demonstrate the theoretical existence of such introspective programs. However, an empirical review reveals that while current LLMs exhibit quasi-introspection (e.g., partial metacognition), they fall short of true introspection due to structural bottlenecks: a lack of complete self-access, the feedforward nature of the Transformer, and computational class constraints that prevent fixed-point iteration. We conclude by outlining architectural paths to cross this complexity threshold and discussing the associated safety implications.

physics.soc-ph

Multilayer Analysis of the Global Trade Network

Global trade is more than a single network of aggregate flows. Beneath the observable exchange of products among economies lies a complex multilayer structure, formed by thousands of product-specific trade relationships that differ in their similarity, interdependence, and temporal evolution. Using the CEPII's BACI database, which records bilateral product-level trade flows between economies, we represent the global trade network from 1995 to 2024 as a temporal multilayer network, with economies as nodes and directed weighted trade flows as edges. To investigate product-level organisation and cross-layer similarity, temporal structural change, and the structural role of individual economies, we introduce a random-walk-based similarity measure that provides a unified framework for comparing weighted and directed trade layers. Our results show that the global trade network remains relatively stable over short periods but undergoes gradual structural change over longer timescales. We also find that similarity-based product communities only partially align with the official product taxonomy, indicating that products assigned to the same official category do not necessarily exhibit similar trade-network structures. Finally, we show that an economy's structural influence is not always determined by its trade volume. These results highlight the value of multilayer network analysis for revealing patterns in global trade that remain hidden at the aggregate level.

physics.soc-ph

Detectability limits of scaling laws

Power law scaling relations between size and output are central to quantitative theories of cities, organisms, and other complex systems. Competing theories predict scaling exponents that differ by small fractions, but there is no existing theory for verifying whether a given dataset can even distinguish exponents at the required resolution to address such discrepancies. Here we derive a resolution limit for scaling exponents, giving the smallest exponent difference that any method of analysis can detect. We find that the Hurst exponents governing the evolution of systems' sizes and deviations from the scaling law determine how long a record of growing systems must be before it can separate competing scaling theories. Empirical results suggest that many available data panels are insufficient for reliable scaling model selection.

physics.soc-ph