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Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026

Low Latency Global Carbon Budget Reveals Late 2024 Carbon Losses and Contrasting Early 2025 Land Sink Recovery Signals.

СтатьяНазвание и аннотация: Перевод в очереди
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Ke Piyu, Ciais Philippe, Yao Yitong, Sitch Stephen, Li Wei, Du Xiaomeng, Gui Xiaofan, Poulter Ben, Colligan Thomas, van der Woude Auke M, Hooghiem Joram, Peters Wouter, Liu Zhu, Deng Zhu, Jin Zhe, Tian Xiangjun, Wang Yilong, Liu Junjie, Pandey Sudhanshu, O'Dell Chris, Bian Jiang, Miller John, Lan Xin, Goncalves De Souza Jefferson, O'Sullivan Michael, Friedlingstein Pierre, Alléon Julien, Xi Yi, Goll Daniel S, Zhu Lei, van der Werf Guido R, Piao Shilong, Chevallier Frédéric

Аннотация

The 2023/24 El Niño strongly reduced land carbon uptake, but the persistence of this anomaly after surface cooling remains uncertain. Here we quantify the July 2024-June 2025 global CO2 budget using low-latency fossil emission estimates, three DGVMs, machine learning ocean flux emulators and OCO-2-constrained atmospheric inversions. The atmospheric CO2 growth rate was 2.62 ± 0.08 ppm yr-1, 6.5% above the 2013-2022 July-to-June mean. DGVMs estimate that the net land sink was 1.32 ± 0.19 GtC yr-1 weaker than the 2015-2022 July-to-June mean, whereas combining bottom-up and top-down constraints gives a smaller deficit of 0.49 GtC yr-1. The annual anomaly is dominated by late-2024 land carbon losses. Early-2025 recovery, however, is method-dependent: DGVMs retain a weak annual land-sink deficit, while all inversions indicate fluxes close to the reference mean and a stronger-than-normal 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-sink recovery as a central uncertainty in low-latency carbon-budget assessments.

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

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