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Here we quantify the July 2024\u2013June 2025 global CO\n                    <jats:sub>2<\/jats:sub>\n                    budget using low\u2010latency fossil emission estimates, three DGVMs, machine learning ocean flux emulators and OCO\u20102\u2010constrained atmospheric inversions. The atmospheric CO\n                    <jats:sub>2<\/jats:sub>\n                    growth rate was 2.62 \u00b1 0.08\u00a0ppm yr\n                    <jats:sup>\u22121<\/jats:sup>\n                    , 6.5% above the 2013\u20132022 July\u2010to\u2010June mean. DGVMs estimate that the net land sink was 1.32 \u00b1 0.19 GtC yr\n                    <jats:sup>\u22121<\/jats:sup>\n                    weaker than the 2015\u20132022 July\u2010to\u2010June mean, whereas combining bottom\u2010up and top\u2010down constraints gives a smaller deficit of 0.49 GtC yr\n                    <jats:sup>\u22121<\/jats:sup>\n                    . The annual anomaly is dominated by late\u20102024 land carbon losses. Early\u20102025 recovery, however, is method\u2010dependent: DGVMs retain a weak annual land\u2010sink deficit, while all inversions indicate fluxes close to the reference mean and a stronger\u2010than\u2010normal northern sink in late spring 2025. Ocean uptake shows no global weakening. A statistical decomposition links global land flux variability mainly to temperature, with terrestrial water storage contributing more strongly at regional scales. These results identify Northern Hemisphere land\u2010sink recovery as a central uncertainty in low\u2010latency carbon\u2010budget assessments.\n                  <\/jats:p>","DOI":"10.1002\/advs.77369","type":"journal-article","created":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T04:41:21Z","timestamp":1788324081000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Low Latency Global Carbon Budget Reveals Late 2024 Carbon Losses and Contrasting Early 2025 Land Sink Recovery Signals"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0353-6313","authenticated-orcid":false,"given":"Piyu","family":"Ke","sequence":"first","affiliation":[{"name":"Laboratoire des Sciences du Climat et de l'Environnement LSCE\/IPSL, CEA\u2010CNRS\u2010UVSQ, Universit\u00e9 Paris\u2010Saclay Gif\u2010sur\u2010Yvette 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