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ML models for satellite GHG retrieval show accuracy drift over time

By PulseAugur Editorial · [2 sources] ·

Researchers have investigated the temporal stability of machine learning models used to emulate satellite-based greenhouse gas retrievals. Their study, using data from the Greenhouse Gases Observing SATellite (GOSAT), found that prediction accuracy degrades over time when models are tested on data outside their training period. Incorporating time as a feature significantly improved methane predictions, with a simple Lasso model outperforming more complex neural networks and demonstrating greater stability. AI

IMPACT Highlights the need for temporal validation in ML models for scientific applications, potentially impacting climate monitoring systems.

RANK_REASON The cluster contains an academic paper detailing research findings on machine learning model performance.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

ML models for satellite GHG retrieval show accuracy drift over time

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The cluster contains an academic paper detailing research findings on machine learning model performance.
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2 independent sources
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paper, model release
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122 days old
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Nugzar Gognadze, Motonobu Kanagawa, Yu Someya, Hisashi Yashiro ·

    Machine-Learning Emulation of Satellite Greenhouse Gas Retrievals: Stability over Time

    arXiv:2606.09313v1 Announce Type: new Abstract: Retrieval algorithms are used to estimate atmospheric concentrations of greenhouse gases (GHGs), such as carbon dioxide (CO2) and methane (CH4), by solving inverse problems from high-spectral-resolution satellite radiance measuremen…

  2. arXiv cs.LG TIER_1 English(EN) · Hisashi Yashiro ·

    Machine-Learning Emulation of Satellite Greenhouse Gas Retrievals: Stability over Time

    Retrieval algorithms are used to estimate atmospheric concentrations of greenhouse gases (GHGs), such as carbon dioxide (CO2) and methane (CH4), by solving inverse problems from high-spectral-resolution satellite radiance measurements. However, these algorithms are computationall…

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