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Deep learning model retrieves atmospheric profiles from satellite data

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a deep learning framework using a Residual U-Net architecture to retrieve tropospheric temperature and humidity profiles from the Meteosat Third Generation's Flexible Combined Imager. This method, trained on European data and validated against radiosondes, achieves temperature biases below 0.4 K and standard deviations of 1.5-1.9 K, with relative humidity standard deviations of 12-20%. The model demonstrates improved performance under clouds and highlights the utility of visible and near-infrared channels, offering a way to monitor the atmosphere autonomously without relying on numerical weather prediction forecasts. AI

IMPACT Enables more rapid autonomous atmospheric monitoring by extracting reliable profiles from satellite data independently of NWP forecasts.

RANK_REASON The cluster contains a research paper detailing a new deep learning model for atmospheric profile retrieval.

Read on Hugging Face Daily Papers →

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

Deep learning model retrieves atmospheric profiles from satellite data

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The cluster contains a research paper detailing a new deep learning model for atmospheric profile retrieval.
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Alejandro Salgueiro, Johannes Rausch, Julie Th\'er\`ese Villinger, Angela Meyer ·

    Tropospheric temperature and humidity profile retrieval from Meteosat Flexible Combined Imager based on deep learning

    arXiv:2608.25700v1 Announce Type: new Abstract: The Meteosat Third Generation (MTG) Flexible Combined Imager (FCI) offers new opportunities for tropospheric temperature and humidity profiling, at higher spatio-temporal resolutions and expanded spectral coverage relative to its pr…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Tropospheric temperature and humidity profile retrieval from Meteosat Flexible Combined Imager based on deep learning

    The Meteosat Third Generation (MTG) Flexible Combined Imager (FCI) offers new opportunities for tropospheric temperature and humidity profiling, at higher spatio-temporal resolutions and expanded spectral coverage relative to its predecessor. Vertically resolved retrievals from b…

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