Oct 2026· Simulation (San Diego, Calif.)· 0 citations· 19 references
TL;DR
The article concludes that Microsoft Flight Simulator 2024 represents a shift from the simulation of environmental processes to the simulation of environmental appearances, revealing the representational asymmetries and data gaps inherent in global digital infrastructures.
Abstract
The ambition to model the Earth at a 1:1 scale through planetary computing presents a challenge that transcends technical constraints. At planetary scale, this challenge becomes an epistemological dilemma: the tension between metric fidelity and morphological coherence. This article analyzes Microsoft Flight Simulator 2024 not merely as a commercial product, but as a critical exponent of the Earth-as-interface paradigm, sustained by a distributed infrastructure of massive geospatial data and cloud computing. Employing an inverse geography methodology grounded in expert-based geographic evaluation, the study systematically assesses the system’s integrity across diverse landscape typologies and observation scales. The findings show that the simulation operates under a regime of selective realism: while achieving high levels of atmospheric and orographic plausibility at macro scales, it consistently breaks down at complex biophysical interfaces, such as fluvial networks and coastal environments, due to a functional decoupling between terrestrial and atmospheric processes. The article concludes that Microsoft Flight Simulator 2024 represents a shift from the simulation of environmental processes to the simulation of environmental appearances, revealing the representational asymmetries and data gaps inherent in global digital infrastructures. These results provide an operational three-dimensional framework (observation scale, process coupling, data density) for understanding the ontological limits of emerging planetary digital twins.
This paper argues that modern science is undergoing a fundamental shift from direct observation to inference-based reconstruction of inaccessible systems. Using the Event Horizon Telescope’s imaging of a black hole as a paradigm, it highlights how knowledge increasingly emerges from integrating fragmented, indirect sig...
GeoAI increasingly produces reusable Earth representation s, physical forecasts, multimodal systems, and reasoning a gents. Their progress exposes two distinct limitations. Geo graphic completeness asks whether the represented world ex tends beyond readily observed land surfaces and atmospher ic fields to oceans, bioge...
The convergence of massive Earth observation datasets and emerging foundation models offers an opportunity to address the complex challenges in Earth System Science (ESS). However, the direct application of foundation models to ESS is often hindered by domain gaps, characterized by the need for physical consistency, th...
Fen-Zhen Su, Yin-Xia Cao, Xin Li et al.· The Innovation Reviews· 0 citations
In a recent Earth's Future article, Skelton and Noone (2025, https://doi.org/10.1029/2024ef005719) crystallized the dilemma facing the geoscientific community: the Anthropocene Working Group's (AWG) evidentiary case for an Anthropocene epoch is at least as strong as, and in their view stronger than, that for the Holoce...
Georg N. Schäfer, Jürgen Renn, Christoph Rosol et al.· Earth's Future· 0 citations
The deployment of a geoengineering program to cool Earth's climate may be imminent. It is crucial that tools be developed to ensure that such a program would achieve its objectives while minimizing disruption. Here we exploit recently developed differentiable atmospheric models to demonstrate a novel geoengineering con...
Pulkit Dubey, D. Abbot, Ashesh Chattopadhyay· 0 citations
Reliable radiometric monitoring of Earth observation satellites is often constrained by reliance on bright desert reference sites, which do not represent dark and heterogeneous vegetation targets. This study presents a physics-based top-of-atmosphere forward-simulation framework that integrates an automated forest grou...
Joongbin Lim, Jeongho Lee, Wonkook Kim et al.· IEEE Journal of Selected Top...· 0 citations
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