ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
Collection
Keywords
  • 1
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Science Ltd
    Global change biology 8 (2002), S. 0 
    ISSN: 1365-2486
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology , Energy, Environment Protection, Nuclear Power Engineering , Geography
    Notes: There is scope for land-use changes to increase or decrease CO2 concentrations in the atmosphere over the next century. Here we make simple but robust calculations of the maximum impact of such changes. Historical land-use changes (mostly deforestation) and fossil fuel emissions have caused an increase in atmospheric concentration of CO2 of 90 ppm between the pre-industrial era and year 2000. The projected range of CO2 concentrations in 2100, under a range of emissions scenarios developed for the IPCC, is 170–600 ppm above 2000 levels. This range is mostly due to different assumptions regarding fossil fuel emissions. If all of the carbon so far released by land-use changes could be restored to the terrestrial biosphere, atmospheric CO2 concentration at the end of the century would be about 40–70 ppm less than it would be if no such intervention had occurred. Conversely, complete global deforestation over the same time frame would increase atmospheric concentrations by about 130–290 ppm. These are extreme assumptions; the maximum feasible reforestation and afforestation activities over the next 50 years would result in a reduction in CO2 concentration of about 15–30 ppm by the end of the century. Thus the time course of fossil fuel emissions will be the major factor in determining atmospheric CO2 concentrations for the foreseeable future.
    Type of Medium: Electronic Resource
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Hauck, Judith; Völker, Christoph; Wolf-Gladrow, Dieter A; Laufkötter, Charlotte; Vogt, Meike; Aumont, Olivier; Bopp, Laurent; Buitenhuis, Erik Theodoor; Doney, Scott C; Dunne, John; Gruber, Nicolas; Hashioka, Taketo; John, Jasmin; Le Quéré, Corinne; Lima, Ivan D; Nakano, Hideyuki; Séférian, Roland; Totterdell, Ian J (2015): On the Southern Ocean CO2 uptake and the role of the biological carbon pump in the 21st century. Global Biogeochemical Cycles, 29(9), 1451-1470, https://doi.org/10.1002/2015GB005140
    Publication Date: 2023-01-13
    Description: We use a suite of eight ocean biogeochemical/ecological general circulation models from the MAREMIP and CMIP5 archives to explore the relative roles of changes in winds (positive trend of Southern Annular Mode, SAM) and in warming- and freshening-driven trends of upper ocean stratification in altering export production and CO2 uptake in the Southern Ocean at the end of the 21st century. The investigated models simulate a broad range of responses to climate change, with no agreement ona dominance of either the SAM or the warming signal south of 44° S. In the southernmost zone, i.e., south of 58° S, they concur on an increase of biological export production, while between 44 and 58° S the models lack consensus on the sign of change in export. Yet, in both regions, the models show an enhanced CO2 uptake during spring and summer. This is due to a larger CO 2 (aq) drawdown by the same amount of summer export production at a higher Revelle factor at the end of the 21st century. This strongly increases the importance of the biological carbon pump in the entire Southern Ocean. In the temperate zone, between 30 and 44° S all models show a predominance of the warming signal and a nutrient-driven reduction of export production. As a consequence, the share of the regions south of 44° S to the total uptake of the Southern Ocean south of 30° S is projected to increase at the end of the 21st century from 47 to 66% with a commensurable decrease to the north. Despite this major reorganization of the meridional distribution of the major regions of uptake, the total uptake increases largely in line with the rising atmospheric CO2. Simulations with the MITgcm-REcoM2 model show that this is mostly driven by the strong increase of atmospheric CO2, with the climate-driven changes of natural CO2 exchange offsetting that trend only to a limited degree (~10%) and with negligible impact of climate effects on anthropogenic CO2 uptake when integrated over a full annual cycle south of 30° S.
    Keywords: File content; Uniform resource locator/link to file; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 27 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 3
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Jones, Steve D; Le Quéré, Corinne; Rödenbeck, Christian (2012): Autocorrelation characteristics of surface ocean pCO2 and air-sea CO2 fluxes. Global Biogeochemical Cycles, 26(2), GB2042, https://doi.org/10.1029/2010GB004017
    Publication Date: 2023-06-10
    Description: Understanding the variability and coherence of surface ocean pCO2 on a global scale can provide insights into its physical and biogeochemical drivers and inform future samplings strategies and data assimilation methods. We present temporal and spatial autocorrelation analyses of surface ocean pCO2on a 5° × 5° grid using the Lamont-Doherty Earth Observatory database. The seasonal cycle is robust with an interannual autocorrelation of ~0.4 across multiple years. The global median spatial autocorrelation (e-folding) length is 400 ± 250 km, with large variability across different regions. Autocorrelation lengths of up to 3,000 km are found along major currents and basin gyres while autocorrelation lengths as low as 50 km are found in coastal regions and other areas of physical turbulence. Zonal (east–west) autocorrelation lengths are typically longer than their meridional counterparts, reflecting the zonal nature of many major ocean features. Uncertainties in spatial autocorrelation in different ocean basins are between 42% and 73% of the calculated decorrelation length. The spatial autocorrelation length in air-sea fluxes is much shorter than forpCO2 (200 ± 150 km) due to the high variability of the gas transfer velocity.
    Keywords: SOCAT; Surface Ocean CO2 Atlas Project
    Type: Dataset
    Format: application/zip, 22.5 kBytes
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 4
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Jones, Steve D; Le Quéré, Corinne; Rödenbeck, Christian; Manning, Andrew C; Olsen, Are (2015): A statistical gap-filling method to interpolate global monthly surface ocean carbon dioxide data. Journal of Advances in Modeling Earth Systems, 7(4), 1554-1575, https://doi.org/10.1002/2014MS000416
    Publication Date: 2023-06-10
    Description: We have developed a statistical gap-filling method adapted to the specific coverage and properties of observed fugacity of surface ocean CO2 (fCO2). We have used this method to interpolate the Surface Ocean CO2 Atlas (SOCAT) v2 database on a 2.5°×2.5° global grid (south of 70°N) for 1985-2011 at monthly resolution. The method combines a spatial interpolation based on a 'radius of influence' to determine nearby similar fCO2 values with temporal harmonic and cubic spline curve-fitting, and also fits long term trends and seasonal cycles. Interannual variability is established using deviations of observations from the fitted trends and seasonal cycles. An uncertainty is computed for all interpolated values based on the spatial and temporal range of the interpolation. Tests of the method using model data show that it performs as well as or better than previous regional interpolation methods, but in addition it provides a near-global and interannual coverage.
    Keywords: File content; File name; File size; SOCAT; Surface Ocean CO2 Atlas Project; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 5
    Publication Date: 2023-06-10
    Description: We have developed a statistical gap-filling method adapted to the specific coverage and properties of observed fugacity of surface ocean CO2 (fCO2). We have used this method to interpolate the Surface Ocean CO2 Atlas (SOCAT) v2 database on a 2.5°×2.5° global grid for 1985-2017 at monthly resolution. The method combines a spatial interpolation based on a 'radius of influence' to determine nearby similar fCO2 values with temporal harmonic and cubic spline curve-fitting, and also fits long term trends and seasonal cycles. Interannual variability is established using deviations of observations from the fitted trends and seasonal cycles. An uncertainty is computed for all interpolated values based on the spatial and temporal range of the interpolation. Tests of the method using model data show that it performs as well as or better than previous regional interpolation methods, but in addition it provides a near-global and interannual coverage.
    Keywords: File content; File name; File size; SOCAT; Surface Ocean CO2 Atlas Project; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 6
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Brun, Philipp; Vogt, Meike; Payne, Mark R; Gruber, Nicolas; O'Brien, Colleen J; Buitenhuis, Erik Theodoor; Le Quéré, Corinne; Leblanc, Karine; Luo, Ya-Wei (2015): Ecological niches of open ocean phytoplankton taxa. Limnology and Oceanography, 60(3), 1020-1038, https://doi.org/10.1002/lno.10074
    Publication Date: 2023-05-12
    Description: This data contains realized ecological niche estimates of phytoplankton taxa within the mixed layer of the open ocean. The estimates are based on data from the MARine Ecosystem DATa (MAREDAT) initiative, and cover five phytoplankton functional types: coccolithophores (40 species), diatoms (87 species), diazotrophs (two genera), Phaeocystis (two species) and picophytoplankton (two genera). Considered as major niche dimensions were temperature (°C), mixed layer depth (MLD; m), nitrate concentration (µmoles/L), mean photosynthetically active radiation in the mixed layer (MLPAR; µmoles/m**2/s), salinity, and the excess of phosphate versus nitrate relative to the Redfield ratio (P*; µmoles/L). For each niche dimension at a time, conditions at presence locations of the taxa were contrasted with conditions in 12 000 randomly sampled points from the open ocean using MaxEnt models. We used the quartiles of the response curves of these models to parameterize realized niche centers and niche breadths: the median (q50) of the response curves was considered to be the niche center and the distance between the lower quartile (q25) and the upper quartile (q75) was used as a rough estimate of niche breadth. We only reported meaningful niche estimates, i.e., estimates based on MaxEnt models that perform significantly better than random, as indicated by an area under the curve (AUC) score significantly larger than 0.5.
    Type: Dataset
    Format: application/zip, 14.2 kBytes
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 7
    Publication Date: 2023-07-05
    Type: Dataset
    Format: application/zip, 2.1 MBytes
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 8
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Feely, Richard A; Boutin, Jacqueline; Cosca, Catherine E; Dandonneau, Yves; Etcheto, Jacqueline; Inoue, Hisayuki Y; Ishii, Masao; Le Quéré, Corinne; Mackey, Denis J; McPhaden, Michael J; Metzl, Nicolas; Poisson, Alain; Wanninkhof, Rik (2002): Seasonal and interannual variability of CO2 in the equatorial Pacific. Deep Sea Research Part II: Topical Studies in Oceanography, 49(13-14), 2443-2469, https://doi.org/10.1016/S0967-0645(02)00044-9
    Publication Date: 2024-02-01
    Description: As part of the JGOFS field program, extensive CO2 partial-pressure measurements were made in the atmosphere and in the surface waters of the equatorial Pacific from 1992 to 1999. For the first time, we are able to determine how processes occurring in the western portion of the equatorial Pacific impact the sea-air fluxes of CO2 in the central and eastern regions. These 8 years of data are compared with the decade of the 1980s. Over this period, surface-water pCO2 data indicate significant seasonal and interannual variations. The largest decreases in fluxes were associated with the 1991-94 and 1997-98 El Niño events. The lower sea-air CO2 fluxes during these two El Niño periods were the result of the combined effects of interconnected large-scale and locally forced physical processes: (1) development of a low-salinity surface cap as part of the formation of the warm pool in the western and central equatorial Pacific, (2) deepening of the thermocline by propagating Kelvin waves in the eastern Pacific, and (3) the weakening of the winds in the eastern half of the basin. These processes serve to reduce pCO2 values in the central and eastern equatorial Pacific towards near-equilibrium values at the height of the warm phase of ENSO. In the western equatorial Pacific there is a small but significant increase in seawater pCO2 during strong El Niño events (i.e., 1982-83 and 1997-98) and little or no change during weak El Niño events (1991-94). The net effect of these interannual variations is a lower-than-normal CO2 flux to the atmosphere from the equatorial Pacific during El Niño. The annual average fluxes indicate that during strong El Niños the release to the atmosphere is 0.2-0.4 Pg C/yr compared to 0.8-1.0 Pg C/yr during non-El Niño years.
    Keywords: Biogeochemical Processes in the Oceans and Fluxes; FLUPAC; FLUPAC_track; JGOFS; Joint Global Ocean Flux Study; L Atalante; MULT; Multiple investigations; OLIPAC; OLIPAC_track; PROOF
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 9
    Publication Date: 2024-02-01
    Keywords: Biogeochemical Processes in the Oceans and Fluxes; DATE/TIME; DEPTH, water; Fugacity of carbon dioxide in seawater; JGOFS; Joint Global Ocean Flux Study; L Atalante; LATITUDE; LONGITUDE; MULT; Multiple investigations; OLIPAC; OLIPAC_track; Pressure, atmospheric; PROOF; Salinity; Temperature, technical; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 13760 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 10
    Publication Date: 2024-02-01
    Keywords: Biogeochemical Processes in the Oceans and Fluxes; DATE/TIME; DEPTH, water; FLUPAC; FLUPAC_track; Fugacity of carbon dioxide in seawater; JGOFS; Joint Global Ocean Flux Study; L Atalante; LATITUDE; LONGITUDE; MULT; Multiple investigations; Pressure, atmospheric; PROOF; Salinity; Temperature, technical; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 19290 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...