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  • 1
    Online Resource
    Online Resource
    Kiel : GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel
    Keywords: Forschungsbericht ; Pleistozän ; Paläoklima ; Modell ; Simulation
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (105 Seiten, 15,5 MB) , Diagramme
    Language: English
    Note: Förderkennzeichen BMBF 01LP1501A, 01LP1502A-E, 01LP1503A-D, 01LP1504A-D, 01LP1505A-G, 01LP1506A-C, 01LP1507A-C, 01LP1508A-B, 01LP1509A-D, 01LP1510A-E, 01LP1511A-D, 01LP1512A-B, 01LP1513A-D, 01LP1514A-B, 01LP1515A-D , Verbundnummer 01162210, 01162211, 01162215, 01161825, 01161826, 01161827, 01161884, 01161828, 01162527, 01161829, 01162405, 01162224, 01162225, 01162219 , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Sprache der Zusammenfassung: Deutsch, Englisch
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  • 2
    Keywords: Forschungsbericht ; Pleistozän ; Paläoklima ; Modell ; Simulation
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (17 Seiten, 746,66) , Diagramme
    Language: German
    Note: Förderkennzeichen BMBF 01LP1515A-D , Verbundnummer 01162213 , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Sprache der Zusammenfassung: Deutsch, Englisch
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  • 3
    Keywords: Forschungsbericht ; Pleistozän ; Paläoklima ; Modell ; Simulation ; Meer ; Kohlenstoffkreislauf
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (17 Seiten, 234,62 KB)
    Language: German
    Note: Paralleltitel dem englischen Berichtsblatt entnommen , Förderkennzeichen BMBF 01LP1505A-G , Verbundnummer 01161825 , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Sprache der Zusammenfassung: Deutsch, Englisch
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  • 4
    Keywords: Forschungsbericht ; Klima ; Modell
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (26 Seiten, 721,14 KB)
    Language: German
    Note: Förderkennzeichen BMBF 01LP1517A-E , Verbundnummer 01163751 , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Sprache der Zusammenfassung: Deutsch, Englisch
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  • 5
    Electronic Resource
    Electronic Resource
    Oxford BSL : Blackwell Science Ltd, UK
    Molecular microbiology 30 (1998), S. 0 
    ISSN: 1365-2958
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology , Medicine
    Type of Medium: Electronic Resource
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  • 6
    Publication Date: 2024-04-20
    Description: Gridded monthly 1x1 degree fields of air-sea CO2 flux and surface ocean pCO2 from Global Ocean Biogeochemical Models (GOBMs) and data-products as used in the Global Carbon Budget 2019. These data are available here for the simulation A ('historical run', varying climate and increasing atmospheric CO2 concentration) and simulation B ('control' simulation, constant climate, constant atmospheric CO2) Additionally, global (gcb_flux_global2019+fesom.csv) and three regional time-series (gcb_flux_north2019+fesom.csv, gcb_flux_tropics2019+fesom.csv, gcb_flux_south2019+fesom.csv) of the CO2 flux from the same models and data-products, integrated by the model or data-product providers on their native grid, for simulation A; and globally integrated time-series for simulation B (only models; gcp2019+fesom_flux_global_RunB.csv). All numbers are ocean CO2 flux (PgC/yr). Positive numbers = CO2 flux into the ocean from the atmosphere, each column gives the ocean CO2 flux from one model or pCO2-based data-product.
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); File content
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
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  • 7
    Publication Date: 2021-02-08
    Description: Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere – the “global carbon budget” – is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions (EFF) are based on energy statistics and cement production data, while emissions from land use and land-use change (ELUC), mainly deforestation, are based on land use and land-use change data and bookkeeping models. Atmospheric CO2 concentration is measured directly and its growth rate (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ. For the last decade available (2008–2017), EFF was 9.4±0.5 GtC yr−1, ELUC 1.5±0.7 GtC yr−1, GATM 4.7±0.02 GtC yr−1, SOCEAN 2.4±0.5 GtC yr−1, and SLAND 3.2±0.8 GtC yr−1, with a budget imbalance BIM of 0.5 GtC yr−1 indicating overestimated emissions and/or underestimated sinks. For the year 2017 alone, the growth in EFF was about 1.6 % and emissions increased to 9.9±0.5 GtC yr−1. Also for 2017, ELUC was 1.4±0.7 GtC yr−1, GATM was 4.6±0.2 GtC yr−1, SOCEAN was 2.5±0.5 GtC yr−1, and SLAND was 3.8±0.8 GtC yr−1, with a BIM of 0.3 GtC. The global atmospheric CO2 concentration reached 405.0±0.1 ppm averaged over 2017. For 2018, preliminary data for the first 6–9 months indicate a renewed growth in EFF of +2.7 % (range of 1.8 % to 3.7 %) based on national emission projections for China, the US, the EU, and India and projections of gross domestic product corrected for recent changes in the carbon intensity of the economy for the rest of the world. The analysis presented here shows that the mean and trend in the five components of the global carbon budget are consistently estimated over the period of 1959–2017, but discrepancies of up to 1 GtC yr−1 persist for the representation of semi-decadal variability in CO2 fluxes. A detailed comparison among individual estimates and the introduction of a broad range of observations show (1) no consensus in the mean and trend in land-use change emissions, (2) a persistent low agreement among the different methods on the magnitude of the land CO2 flux in the northern extra-tropics, and (3) an apparent underestimation of the CO2 variability by ocean models, originating outside the tropics. This living data update documents changes in the methods and data sets used in this new global carbon budget and the progress in understanding the global carbon cycle compared with previous publications of this data set (Le Quéré et al., 2018, 2016, 2015a, b, 2014, 2013)
    Type: Article , PeerReviewed
    Format: text
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  • 8
    Publication Date: 2021-02-08
    Description: Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere – the "global carbon budget" – is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (ELUC), mainly deforestation, are based on land-cover change data and bookkeeping models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ. For the last decade available (2007–2016), EFF was 9.4 ± 0.5 GtC yr−1, ELUC 1.3 ± 0.7 GtC yr−1, GATM 4.7 ± 0.1 GtC yr−1, SOCEAN 2.4 ± 0.5 GtC yr−1, and SLAND 3.0 ± 0.8 GtC yr−1, with a budget imbalance BIM of 0.6 GtC yr−1 indicating overestimated emissions and/or underestimated sinks. For year 2016 alone, the growth in EFF was approximately zero and emissions remained at 9.9 ± 0.5 GtC yr−1. Also for 2016, ELUC was 1.3 ± 0.7 GtC yr−1, GATM was 6.1 ± 0.2 GtC yr−1, SOCEAN was 2.6 ± 0.5 GtC yr−1, and SLAND was 2.7 ± 1.0 GtC yr−1, with a small BIM of −0.3 GtC. GATM continued to be higher in 2016 compared to the past decade (2007–2016), reflecting in part the high fossil emissions and the small SLAND consistent with El Niño conditions. The global atmospheric CO2 concentration reached 402.8 ± 0.1 ppm averaged over 2016. For 2017, preliminary data for the first 6–9 months indicate a renewed growth in EFF of +2.0 % (range of 0.8 to 3.0 %) based on national emissions projections for China, USA, and India, and projections of gross domestic product (GDP) corrected for recent changes in the carbon intensity of the economy for the rest of the world. This living data update documents changes in the methods and data sets used in this new global carbon budget compared with previous publications of this data set (Le Quéré et al., 2016, 2015b, a, 2014, 2013). All results presented here can be downloaded from https://doi.org/10.18160/GCP-2017 (GCP, 2017).
    Type: Article , PeerReviewed
    Format: text
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  • 9
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    AGU (American Geophysical Union) | Wiley
    In:  Journal of Advances in Modeling Earth Systems, 9 (1). pp. 438-464.
    Publication Date: 2018-12-17
    Description: Nitrogen (N2) fixation is a major source of bioavailable nitrogen to the euphotic zone, thereby exerting an important control on ocean biogeochemical cycling. This paper presents the incorporation of prognostic N2 fixers into the HAMburg Ocean Carbon Cycle model (HAMOCC), a component of the Max Planck Institute Earth System Model (MPI‐ESM). Growth dynamics of N2 fixers in the model are based on physiological characteristics of the cyanobacterium Trichodesmium. The applied temperature dependency confines diazotrophic growth and N2 fixation to the tropical and subtropical ocean roughly between 40°S and 40°N. Simulated large‐scale spatial patterns compare well with observations, and the global N2 fixation rate of 135.6 Tg N yr−1 is within the range of current estimates. The vertical distribution of N2 fixation also matches well the observations, with a major fraction of about 85% occurring in the upper 20 m. The observed seasonal variability at the stations BATS and ALOHA is reasonably reproduced, with highest fixation rates in northern summer/fall. Iron limitation was found to be an important factor in controlling the simulated distribution of N2 fixation, especially in the Pacific Ocean. The new model component considerably improves the representation of present‐day N2 fixation in HAMOCC. It provides the basis for further studies on the role of diazotrophs in global biogeochemical cycles, as well as on the response of N2 fixation to changing environmental conditions.
    Type: Article , PeerReviewed
    Format: text
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  • 10
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    AGU (American Geophysical Union) | Wiley
    In:  Geophysical Research Letters, 45 (2). pp. 916-925.
    Publication Date: 2021-02-08
    Description: We investigate the internal decadal variability of the ocean carbon uptake using 100 ensemble simulations based on the Max Planck Institute Earth system model (MPI‐ESM). We find that on decadal time scales, internal variability (ensemble spread) is as large as the forced temporal variability (ensemble mean), and the largest internal variability is found in major carbon sink regions, that is, the 50–65°S band of the Southern Ocean, the North Pacific, and the North Atlantic. The MPI‐ESM ensemble produces both positive and negative 10 year trends in the ocean carbon uptake in agreement with observational estimates. Negative decadal trends are projected to occur in the future under RCP4.5 scenario. Due to the large internal variability, the Southern Ocean and the North Pacific require the most ensemble members (more than 53 and 46, respectively) to reproduce the forced decadal trends. This number increases up to 79 in future decades as CO2 emission trajectory changes.
    Type: Article , PeerReviewed
    Format: text
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