Evidence map›Paper›PMID 42681796›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

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

Piyu Ke, Philippe Ciais, Yitong Yao, Stephen Sitch, Wei Li, Xiaomeng Du, Xiaofan Gui, Ben Poulter, Thomas Colligan, Auke M van der Woude and 23 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

33 authors.

Piyu KeLaboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.ORCID https://orcid.org/0000-0003-0353-6313
Philippe CiaisLaboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.ORCID https://orcid.org/0000-0001-8560-4943
Yitong YaoDepartment of Earth and Environmental Engineering, Columbia University, New York, USA.
Stephen SitchFaculty of Environment, Science and Economy, University of Exeter, Exeter, UK.
Wei LiDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China.ORCID https://orcid.org/0000-0003-2543-2558
Xiaomeng DuDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China.
Xiaofan GuiMachine learning group, Microsoft Research, Beijing, China.
Ben PoulterSpark Climate Solutions, Covina, California, USA.
Thomas ColliganSpark Climate Solutions, Covina, California, USA.
Auke M van der WoudeEnvironmental Sciences Group, Department of Meteorology and Air Quality, Wageningen University, Wageningen, The Netherlands.ORCID https://orcid.org/0000-0002-6286-2621
Joram HooghiemEnvironmental Sciences Group, Department of Meteorology and Air Quality, Wageningen University, Wageningen, The Netherlands.ORCID https://orcid.org/0000-0002-1850-4130
Wouter PetersEnvironmental Sciences Group, Department of Meteorology and Air Quality, Wageningen University, Wageningen, The Netherlands.ORCID https://orcid.org/0000-0001-8166-2070
Zhu LiuDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China.
Zhu DengDepartment of Geography, The University of Hong Kong, Hong Kong SAR, China.
Zhe JinInstitute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China.
Xiangjun TianState Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0001-8564-5817
Yilong WangState Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0001-7176-2692
Junjie LiuJet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA.ORCID https://orcid.org/0000-0002-7184-6594
Sudhanshu PandeyJet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA.ORCID https://orcid.org/0000-0001-5938-385X
Chris O'DellCooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado, USA.
Jiang BianMachine learning group, Microsoft Research, Beijing, China.ORCID https://orcid.org/0000-0002-9472-600X
John MillerNational Oceanic and Atmospheric Administration Global Monitoring Laboratory, Boulder, Colorado, USA.ORCID https://orcid.org/0000-0001-8630-1610
Xin LanNational Oceanic and Atmospheric Administration Global Monitoring Laboratory, Boulder, Colorado, USA.ORCID https://orcid.org/0000-0001-6327-6950
Jefferson Goncalves De SouzaFaculty of Environment, Science and Economy, University of Exeter, Exeter, UK.
Michael O'SullivanFaculty of Environment, Science and Economy, University of Exeter, Exeter, UK.ORCID https://orcid.org/0000-0002-6278-3392
Pierre FriedlingsteinFaculty of Environment, Science and Economy, University of Exeter, Exeter, UK.ORCID https://orcid.org/0000-0003-3309-4739
Julien AlléonLaboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.ORCID https://orcid.org/0009-0003-2930-3865
Yi XiLaboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.
Daniel S GollLaboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.ORCID https://orcid.org/0000-0001-9246-9671
Lei ZhuLaboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.ORCID https://orcid.org/0000-0002-2146-6438
Guido R van der WerfEnvironmental Sciences Group, Department of Meteorology and Air Quality, Wageningen University, Wageningen, The Netherlands.ORCID https://orcid.org/0000-0001-9042-8630
Shilong PiaoInstitute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID https://orcid.org/0000-0001-8057-2292
Frédéric ChevallierLaboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.ORCID https://orcid.org/0000-0002-4327-3813

Funding

Dutch Research Council (NWO) NWO-2025.010European Space Agency 4000140982/23/I-EFEuropean Space Agency ESA ESRIN/4000144908European Union's Horizon Europe research and innovation programme 101081395 (EYE-CLIMA)National Aeronautics and Space Administration (NASA) 80NM0018D0004National Oceanic and Atmospheric Administration (NOAA) NA22OAR4320151Schmidt Sciences, LLC
6 · The paper itself

Abstract

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 CO

Indexed as

atmospheric CO2 growth rateEl Niñoglobal carbon budgetland carbon sinklow latency carbon monitoring

Identifiers

PMID42681796
PMCPMC13534783

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.