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Showing 109 results for "programming languages" in Earth & Environmental Sciences
Earth & Environmental Sciences Preprint PDF DOI

Physically-Informed Fuzzy Clustering of Vertical Sounding Ionograms

Oleg I.Berngardt, Sergey N.Ponomarchuk · 2026

This paper presents a physically-informed fuzzy clustering of vertical sounding ionograms for automatically separating the ionogram into tracks suitable for further interpretation and determining thei…

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Earth & Environmental Sciences Preprint PDF DOI

An effective window framework for closed-Loop regional SAR reconnaissance with hybrid direct-relay downlink scheduling

Linhong Li, Qi Feng, Kebo Li, Yangang Liang · 2026

For operational regional synthetic aperture radar (SAR) reconnaissance, mission success depends not only on geometric visibility but also on whether geometric feasibility, prescribed imaging quality, …

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Earth & Environmental Sciences Preprint PDF DOI

ASTER -- Agentic Science Toolkit for Exoplanet Research

Emilie Panek, Alexander Roman, Gaurav Shukla, Leonardo Pagliaro, Katia Matcheva, Konstantin Matchev · 2026

The expansion of exoplanet observations has created a need for flexible, accessible, and user-friendly workflows. Transmission spectroscopy has become a key technique for probing atmospheric compositi…

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Earth & Environmental Sciences Preprint PDF DOI

TRACE: A Multi-Agent System for Autonomous Physical Reasoning for Seismology

Feng Liu, Jian Xu, Xin Cui, Xinghao Wang, Zijie Guo, Jiong Wang, S. Mostafa Mousavi, Xinyu Gu, Hao Chen, Ben Fei, Lihua Fang, Fenghua Ling, Zefeng Li, Lei Bai · 2026

Inferring physical mechanisms that govern earthquake sequences from geophysical observations remains a challenging task, particularly across tectonically distinct environments where similar seismic pa…

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Earth & Environmental Sciences Preprint PDF DOI

A user-friendly package and workflow for generating effective homogeneous rheologies for the study of the long-term orbital evolution of multilayered planetary bodies

Yeva Gevorgyan · 2026

We present a user-friendly, open-source Wolfram Language package that automates the construction of an effective homogeneous generalized Voigt rheology for a spherically symmetric, incompressible laye…

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Earth & Environmental Sciences Preprint PDF DOI

The Rise of AI in Weather and Climate Information and its Impact on Global Inequality

Amirpasha Mozaffari, Amanda Duarte, Lina Teckentrup, Stefano Materia, Gina E. C. Charnley, Lluis Palma, Eulalia Baulenas Serra, Dragana Bojovic, Paula Checchia, Aude Carreric, Francisco Doblas-Reyes · 2026

The rapid adoption of AI in Earth system science promises unprecedented speed and fidelity in the generation of climate information. However, this technological prowess rests on a fragile and unequal …

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Earth & Environmental Sciences Preprint PDF DOI

Physics-constrained symbolic regression for discovering closed-form equations of multimodal water retention curves from experimental data

Yejin Kim, Hyoung Suk Suh · 2026

Modeling the unsaturated behavior of porous materials with multimodal pore size distributions presents significant challenges, as standard hydraulic models often fail to capture their complex, multi-s…

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Earth & Environmental Sciences Preprint PDF DOI

Towards mechanistic understanding in a data-driven weather model: internal activations reveal interpretable physical features

Theodore MacMillan, Nicholas T. Ouellette · 2025

Large data-driven physics models like DeepMind's weather model GraphCast have empirically succeeded in parameterizing time operators for complex dynamical systems with an accuracy reaching or in some …

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Earth & Environmental Sciences Preprint PDF DOI

A Deep Learning-based time shift objective function for Full Waveform Inversion

Mustafa Alfarhan, Fuqiang Chen, George Turkiyyah, David Keyes, Ivan Vasconcelos, Matteo Ravasi · 2025

Full Waveform Inversion (FWI) is a powerful technique for estimating high-resolution subsurface velocity models by minimizing the discrepancy between modeled and observed seismic data. However, the os…

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Earth & Environmental Sciences Preprint PDF DOI

GAIA: Geothermal Analytics and Intelligent Agent

Randy Harsuko, Zhengfa Bi, Nori Nakata · 2025

Geothermal field development typically involves complex processes that require multi-disciplinary expertise in each process. Thus, decision-making often demands the integration of geological, geophysi…

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Earth & Environmental Sciences Preprint PDF DOI

Developing an Open-access Telegram Bot for Automated, estimation and IA-based interpreted of OpenQuake Ground-Motion intensity measures

Boumediene Derras · 2025

The prediction of Intensity Measures (IMs) using Ground-Motion Models (GMM) is a fundamental component of seismic hazard assessment. However, the best estimation of IMs traditionally requires speciali…

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Earth & Environmental Sciences Preprint PDF DOI

microJAX: A Differentiable Framework for Microlensing Modeling with GPU-Accelerated Image-Centered Ray Shooting

Shota Miyazaki, Hajime Kawahara (Institute of Space, Astronautical Science, Japan Aerospace Exploration Agency, Japan) · 2025

We introduce microJAX, the first fully differentiable implementation of the image-centered ray-shooting (ICRS) algorithm for gravitational microlensing. Built on JAX and its XLA just-in-time compiler,…

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Earth & Environmental Sciences Preprint PDF DOI

A High-Precision, Differentiable Code for Solar System Ephemerides

Ben Cassese, Malena Rice, Tiger Lu · 2025

We present jorbit, a python/JAX library designed to enable modern data-driven numerical studies of the solar system. Written entirely in JAX, an auto-differentiable and optionally GPU accelerated lang…

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Earth & Environmental Sciences Preprint PDF DOI

A transformer-based generative model for planetary systems

Yann Alibert, Jeanne Davoult, Sara Marques · 2025

Numerical calculations of planetary system formation are very demanding in terms of computing power. These synthetic planetary systems can however provide access to correlations, as predicted in a giv…

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Earth & Environmental Sciences Preprint PDF DOI

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams

ChangJae Lee, Heecheol Yang, Jonghak Choi · 2025

Forecasting from atmospheric soundings is a fundamental task in operational meteorology, often requiring structured visual reasoning over Skew-T log-P diagrams by human forecasters. While recent advan…

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Earth & Environmental Sciences Preprint PDF DOI

OkadaTorch: A Differentiable Programming of Okada Model to Calculate Displacements and Strains from Fault Parameters

Masayoshi Someya, Taisuke Yamada, Tomohisa Okazaki · 2025

The Okada model is a widely used analytical solution for displacements and strains caused by a point or rectangular dislocation source in a 3D elastic half-space. We present OkadaTorch, a PyTorch impl…

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Earth & Environmental Sciences Preprint PDF DOI

Fast ground penetrating radar dual-parameter full waveform inversion method accelerated by hybrid compilation of CUDA kernel function and PyTorch

Lei Liu, Chao Song, Liangsheng He, Silin Wang, Xuan Feng, Cai Liu · 2025

This study proposes a high-performance dual-parameter full waveform inversion framework (FWI) for ground-penetrating radar (GPR), accelerated through the hybrid compilation of CUDA kernel functions an…

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Earth & Environmental Sciences Preprint PDF DOI

POLARIS: A High-contrast Polarimetric Imaging Benchmark Dataset for Exoplanetary Disk Representation Learning

Fangyi Cao, Bin Ren, Zihao Wang, Shiwei Fu, Youbin Mo, Xiaoyang Liu, Yuzhou Chen, Weixin Yao · 2025

With over 1,000,000 images from more than 10,000 exposures using state-of-the-art high-contrast imagers (e.g., Gemini Planet Imager, VLT/SPHERE) in the search for exoplanets, can artificial intelligen…

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Earth & Environmental Sciences Preprint PDF DOI

On Linking Planet Formation Models, Protoplanetary Disk Properties, and Mature Gas Giant Exoplanet Atmospheres

Adina D. Feinstein, Richard A. Booth, Jennifer B. Bergner, Joshua D. Lothringer, Elisabeth C. Matthews, Luis Welbanks, Yamila Miguel, Bertram Bitsch, Linn E. J. Eriksson, James Kirk, Stefan Pelletier, Anna B. T. Penzlin, Anjali A. A. Piette, Caroline Piaulet-Ghorayeb, Kamber Schwarz, Diego Turrini, Lorena Acuna-Aguirre, Eva-Maria Ahrer, Madyson G. Barber, Jonathan Brande, Aritra Chakrabarty, Ian J. M. Crossfield, Gabriel-Dominique Marleau, Helong Huang, Anders Johansen, Laura Kreidberg, John H. Livingston, Rafael Luque, Maria Oreshenko, Elenia Pacetti, Guilia Perotti, Jesse Polman, Bibiana Prinoth, Dmitry A. Semenov, Jacob B. Simon, Johanna Teske, Niall Whiteford · 2025

Measuring a single elemental ratio (e.g., carbon-to-oxygen) provides insufficient information for understanding the formation mechanisms and evolution that affect our observations of gas giant planet …

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Earth & Environmental Sciences Preprint PDF DOI

SeisCoDE: 3D Seismic Interpretation Foundation Model with Contrastive Self-Distillation Learning

Goodluck Archibong, Ardiansyah Koeshidayatullah, Umair Waheed, Weichang Li, Dicky Harishidayat, Motaz Alfarraj · 2025

Seismic interpretation is vital for understanding subsurface structures but remains labor-intensive, subjective, and computationally demanding. While deep learning (DL) offers promise, its success hin…

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