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Global land surface atmospheric variables from 1718 to present from comprehensive in-situ observations, version 3.0.0, 2026

Copernicus Climate Change Service · 2026 · European Centre for Medium-Range Weather Forecasts · DOI 10.24381/cds.cf5f3bac

1 Pith paper cite this work, alongside 2 external citations. Polarity classification is still indexing.

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physics.ao-ph 1

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2026 1

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CONDITIONAL 1

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Global reanalysis from observations alone with machine learning

physics.ao-ph · 2026-07-08 · conditional · novelty 7.0

Observation-only machine learning can generate multi-decade global atmospheric reanalyses with large-scale skill near ERA5 and surface errors between ERA-Interim and ERA5, in a single day of compute.

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  • Global reanalysis from observations alone with machine learning physics.ao-ph · 2026-07-08 · conditional · none · ref 40

    Observation-only machine learning can generate multi-decade global atmospheric reanalyses with large-scale skill near ERA5 and surface errors between ERA-Interim and ERA5, in a single day of compute.