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High predictability of terrestrial carbon fluxes from an initialized decadal prediction system

Bibliographic Data

ID15544849
AuthorsNicole S Lovenduski (0000-0001-5893-1009, Institute of Arctic and Alpine Research, corresponding author), Gordon B Bonan (0000-0003-0830-6437, NSF National Center for Atmospheric Research), Stephen Yeager (0009-0000-5990-9858), Stephen G Yeager (0000-0003-0268-9895, NSF National Center for Atmospheric Research), Keith Lindsay (0000-0002-3672-1665, NSF National Center for Atmospheric Research), Danica Lombardozzi (0000-0003-3557-7929, NSF National Center for Atmospheric Research)
Year2019
Volume14
Issue12
Pages124074-124074
Publication date2019-11-27
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ab5c55
OpenAlexW2990751658
LanguageEN
Citations received1
References cited31

Interannual variations in the flux of carbon dioxide (CO 2 ) between the land surface and the atmosphere are the dominant component of interannual variations in the atmospheric CO 2 growth rate. Here, we investigate the potential to predict variations in these terrestrial carbon fluxes 1–10 years in advance using a novel set of retrospective decadal forecasts of an Earth system model. We demonstrate that globally-integrated net ecosystem production (NEP) exhibits high potential predictability for 2 years following forecast initialization. This predictability exceeds that from a persistence or uninitialized forecast conducted with the same Earth system model. The potential predictability in NEP derives mainly from high predictability in ecosystem respiration, which itself is driven by vegetation carbon and soil moisture initialization. Our findings unlock the potential to forecast the terrestrial ecosystem in a changing environment

Atmosphere (unit · Atmospheric sciences · Carbon cycle · Carbon dioxide · Carbon dioxide in Earth's atmosphere · Carbon flux · Climatology · Earth system science · Ecosystem · Geography · Initialization · Meteorology · Predictability · Statistics · Terrestrial ecosystem · Atmospheric and Environmental Gas Dynamics · Climate variability and models · Computer Science · Environmental Science · Mathematics · Meteorological Phenomena and Simulations · Ecology · Geology · Oceanography

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Unique citing works1
Citations per year0,33
Citation span2023 - 2023 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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