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  • 1
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    Unknown
    Grain-size distributions, End-member modelling and Th-fluxes of South Atlantic surface sediments (2023)
    PANGAEA
    Details
    Publication Date: 2024-02-17
    Description: We present the characteristics of the lithogenic components of seafloor surface sediments covering the entire South Atlantic Ocean (from the equator to Antarctica). These samples were collected by multiple seagoing expeditions between 1988 and 2005. By using end-member modelling on the multi-modal grain-size distributions, we decomposed the lithogenic fraction into a fine- and coarse-grained dust component, current-sorted sediments and IRD. By multiplying these specific components with 230Th-normalized lithogenic fluxes, we obtained specific fluxes for these four fractions. This allows us to study dust deposition over the remote open ocean more specifically.
    Keywords: dust; Dust flux; end-member modelling; grain size distribution; IRD; Particle size distribution; South Atlantic; thorium normalization
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 2
    facet.materialart.
    Unknown
    End-member grain-size distributions used for calculation of end-member composition of South Atlantic surface sediments (2023)
    PANGAEA
    Details
    Publication Date: 2024-02-17
    Description: We present the characteristics of the lithogenic components of seafloor surface sediments covering the entire South Atlantic Ocean (from the equator to Antarctica). These samples were collected by multiple seagoing expeditions between 1988 and 2005. This dataset describes the end-member (EM) grain-size distributions that were calculated for the entire dataset of grain-size distributions, and which are used for the calculation of end-member composition of the South Atlantic surface sediments.
    Keywords: dust; Dust flux; end-member modelling; End-Member Modelling using AnalySize for MATLAB v.1.1.2 according to Paterson & Heslop (2015); grain size distribution; Identification; IRD; Particle size distribution; Size fraction; South Atlantic; thorium normalization
    Type: Dataset
    Format: text/tab-separated-values, 372 data points
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    DATA PANGAEA
  • 3
    facet.materialart.
    Unknown
    Grain-size distributions of South Atlantic surface sediments (2023)
    PANGAEA
    Details
    Publication Date: 2024-02-17
    Description: We present the characteristics of the lithogenic components of seafloor surface sediments covering the entire South Atlantic Ocean (from the equator to Antarctica). These samples were collected by multiple seagoing expeditions between 1988 and 2005. This dataset describes the raw grain-size distributions of the lithogenic fraction of the sediments.
    Keywords: 06MT15_2; 06MT41_3; Agulhas Basin; Agulhas Ridge; Amundsen Sea; Angola Basin; ANT-IX/3; ANT-IX/4; ANT-VIII/3; ANT-X/5; ANT-X/6; ANT-XI/2; ANT-XI/4; ANT-XVII/4; ANT-XX/2; ANT-XXII/4; Argentine Basin; Ascencion Island; Atlantic Ridge; Brazil Basin; Cape Basin; Central South Atlantic; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Discovery Seamount; dust; Dust flux; Eastern Rio Grande Rise; ELEVATION; end-member modelling; Equatorial Atlantic; Event label; GeoB1035-2; GeoB1117-3; GeoB1306-1; GeoB1308-1; GeoB1314-2; GeoB1401-2; GeoB1404-8; GeoB1407-8; GeoB1412-2; GeoB1724-2; GeoB1729-2; GeoB2018-1; GeoB2019-2; GeoB2021-4; GeoB2022-3; GeoB2116-2; GeoB2117-4; GeoB2814-3; GeoB2824-1; GeoB3803-1; GeoB3806-2; GeoB3808-7; GeoB5002-1; GeoB5004-2; GeoB5007-1; GeoB5008-3; GeoB5112-5; GeoB5115-2; GeoB5121-2; GeoB5132-2; GeoB5135-1; GeoB5137-1; GeoB5139-1; GeoB5142-2; GeoB6112-1; GeoB6402-9; GeoB6404-3; GeoB6407-2; GeoB6409-3; GeoB6411-4; GeoB6417-2; GeoB6426-2; GeoB7001-5; GeoB7002-1; GeoB7003-2; Giant box corer; GKG; grain size distribution; Gravity corer (Kiel type); Guinea Basin; Hunter Channel; Indian Ocean; IRD; Islas Orcadas; Kongo delta; Laser diffraction particle size analyser, Beckman Coulter, LS13 320; LATITUDE; Lazarev Sea; LONGITUDE; M15/2; M16/1; M20/2; M23/1; M23/2; M29/2; M34/3; M41/2; M41/3; M46/1; M46/4; M49/4; M6/6; M9/4; Meteor (1986); Meteor Rise; Mid Atlantic Ridge; Mid-Atlantic Ridge; MSN; MUC; MultiCorer; Multiple opening/closing net; Namibia continental slope; Northern Brasil Basin; Particle size distribution; PLA; Plankton net; Polarstern; PS16; PS16/321; PS16/342; PS16/354; PS1772-6; PS1777-7; PS1780-1; PS18; PS18/184; PS18/185; PS18/186; PS18/187; PS18/196; PS18/198; PS18/199; PS18/200; PS18/203; PS18/204; PS18/229; PS18/237; PS18/238; PS18/239; PS18/241; PS18/243; PS18/251; PS18/252; PS18/253; PS18/254; PS18/255; PS18/264; PS18/267; PS18/269; PS2037-2; PS2038-3; PS2039-2; PS2040-1; PS2049-3; PS2050-2; PS2051-2; PS2052-3; PS2055-3; PS2056-2; PS2073-1; PS2081-1; PS2082-3; PS2083-1; PS2084-2; PS2086-2; PS2093-1; PS2094-1; PS2095-1; PS2096-1; PS2097-1; PS2106-1; PS2109-3; PS2110-1; PS22; PS22/679; PS22/690; PS22/712; PS22/744; PS22/751; PS22/773; PS22/783; PS22/788; PS22/805; PS22/813; PS22/818; PS22/834; PS22/902; PS22/917; PS22/947; PS22/956; PS22 06AQANTX_5; PS2251-1; PS2254-1; PS2257-1; PS2268-6; PS2271-1; PS2278-5; PS2285-3; PS2290-1; PS2307-2; PS2315-1; PS2320-2; PS2335-3; PS2367-2; PS2370-5; PS2372-3; PS2374-2; PS2489-4; PS2491-4; PS2496-2; PS2509-1; PS2515-2; PS2518-2; PS2557-2; PS2561-1; PS2577-2; PS2587-1; PS28; PS28/256; PS28/264; PS28/298; PS28/352; PS28/378; PS28/395; PS30; PS30/004; PS30/030; PS30/113; PS30/126; PS56; PS56/206-2; PS56/207-1; PS56/210-2; PS63/027-2; PS63/038-2; PS63/041-2; PS63/049-2; PS63/054-5; PS63/076-2; PS63/082-2; PS63/095-3; PS63/105-1; PS63/106-2; PS63/109-1; PS63/111-1; PS63/112-4; PS63/113-1; PS63/114-2; PS63/117-1; PS63/118-2; PS63/120-3; PS63/123-3; PS63/126-3; PS63/136-2; PS63/141-2; PS63 06AQ200211_2; PS67; PS67/185-1; PS67/197-4; PS67/205-4; PS67/206-3; PS67/224-3; Riiser-Larsen Sea; Santos Plateau; Scotia Sea, southwest Atlantic; Size fraction; SL; South Atlantic; South Atlantic Ocean; Southwest Guinea Basin; thorium normalization; Walvis Ridge; Weddell Sea; West Angola Basin
    Type: Dataset
    Format: text/tab-separated-values, 12032 data points
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  • 4
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    End-member composition of South Atlantic surface sediments (2023)
    PANGAEA
    Details
    Publication Date: 2024-02-17
    Description: We present the characteristics of the lithogenic components of seafloor surface sediments covering the entire South Atlantic Ocean (from the equator to Antarctica). These samples were collected by multiple seagoing expeditions between 1988 and 2005. This dataset describes the End-member composition (as presented in doi:10.1594/PANGAEA.961710) of South Atlantic surface sediments. For each individual sample, the contributions of each EM to the (reconstructed) grain-size distribution were determined.
    Keywords: 06MT15_2; 06MT41_3; Agulhas Basin; Agulhas Ridge; Amundsen Sea; Angola Basin; Angular deviation; ANT-IX/3; ANT-IX/4; ANT-VIII/3; ANT-X/5; ANT-X/6; ANT-XI/2; ANT-XI/4; ANT-XVII/4; ANT-XX/2; ANT-XXII/4; Argentine Basin; Ascencion Island; Atlantic Ridge; Brazil Basin; Calculated; Cape Basin; Central South Atlantic; Coefficient of determination; DEPTH, sediment/rock; Discovery Seamount; dust; Dust, aeolian; Dust flux; Eastern Rio Grande Rise; ELEVATION; End member 1; End member 2; End member 3; End member 4; end-member modelling; End-Member Modelling using AnalySize for MATLAB v.1.1.2 according to Paterson & Heslop (2015); Equatorial Atlantic; Event label; GeoB1035-2; GeoB1117-3; GeoB1306-1; GeoB1308-1; GeoB1314-2; GeoB1401-2; GeoB1404-8; GeoB1407-8; GeoB1412-2; GeoB1724-2; GeoB1729-2; GeoB2018-1; GeoB2019-2; GeoB2021-4; GeoB2022-3; GeoB2116-2; GeoB2117-4; GeoB2814-3; GeoB2824-1; GeoB3803-1; GeoB3806-2; GeoB3808-7; GeoB5002-1; GeoB5004-2; GeoB5007-1; GeoB5008-3; GeoB5112-5; GeoB5115-2; GeoB5121-2; GeoB5132-2; GeoB5135-1; GeoB5137-1; GeoB5139-1; GeoB5142-2; GeoB6112-1; GeoB6402-9; GeoB6404-3; GeoB6407-2; GeoB6409-3; GeoB6411-4; GeoB6417-2; GeoB6426-2; GeoB7001-5; GeoB7002-1; GeoB7003-2; Giant box corer; GKG; Grain size, relative, aeolian; grain size distribution; Gravity corer (Kiel type); Guinea Basin; Hunter Channel; Indian Ocean; IRD; Islas Orcadas; Kongo delta; LATITUDE; Lazarev Sea; LONGITUDE; M15/2; M16/1; M20/2; M23/1; M23/2; M29/2; M34/3; M41/2; M41/3; M46/1; M46/4; M49/4; M6/6; M9/4; Meteor (1986); Meteor Rise; Mid Atlantic Ridge; Mid-Atlantic Ridge; MSN; MUC; MultiCorer; Multiple opening/closing net; Namibia continental slope; Northern Brasil Basin; Particle size distribution; PLA; Plankton net; Polarstern; PS16; PS16/321; PS16/342; PS16/354; PS1772-6; PS1777-7; PS1780-1; PS18; PS18/184; PS18/185; PS18/186; PS18/187; PS18/196; PS18/198; PS18/199; PS18/200; PS18/203; PS18/204; PS18/229; PS18/237; PS18/238; PS18/239; PS18/241; PS18/243; PS18/251; PS18/252; PS18/253; PS18/254; PS18/255; PS18/264; PS18/267; PS18/269; PS2037-2; PS2038-3; PS2039-2; PS2040-1; PS2049-3; PS2050-2; PS2051-2; PS2052-3; PS2055-3; PS2056-2; PS2073-1; PS2081-1; PS2082-3; PS2083-1; PS2084-2; PS2086-2; PS2093-1; PS2094-1; PS2095-1; PS2096-1; PS2097-1; PS2106-1; PS2109-3; PS2110-1; PS22; PS22/679; PS22/690; PS22/712; PS22/744; PS22/751; PS22/773; PS22/783; PS22/788; PS22/805; PS22/813; PS22/818; PS22/834; PS22/902; PS22/917; PS22/947; PS22/956; PS22 06AQANTX_5; PS2251-1; PS2254-1; PS2257-1; PS2268-6; PS2271-1; PS2278-5; PS2285-3; PS2290-1; PS2307-2; PS2315-1; PS2320-2; PS2335-3; PS2367-2; PS2370-5; PS2372-3; PS2374-2; PS2489-4; PS2491-4; PS2496-2; PS2509-1; PS2515-2; PS2518-2; PS2557-2; PS2561-1; PS2577-2; PS2587-1; PS28; PS28/256; PS28/264; PS28/298; PS28/352; PS28/378; PS28/395; PS30; PS30/004; PS30/030; PS30/113; PS30/126; PS56; PS56/206-2; PS56/207-1; PS56/210-2; PS63/027-2; PS63/038-2; PS63/041-2; PS63/049-2; PS63/054-5; PS63/076-2; PS63/082-2; PS63/095-3; PS63/105-1; PS63/106-2; PS63/109-1; PS63/111-1; PS63/112-4; PS63/113-1; PS63/114-2; PS63/117-1; PS63/118-2; PS63/120-3; PS63/123-3; PS63/126-3; PS63/136-2; PS63/141-2; PS63 06AQ200211_2; PS67; PS67/185-1; PS67/197-4; PS67/205-4; PS67/206-3; PS67/224-3; Riiser-Larsen Sea; Santos Plateau; Scotia Sea, southwest Atlantic; SL; South Atlantic; South Atlantic Ocean; Southwest Guinea Basin; thorium normalization; Walvis Ridge; Weddell Sea; West Angola Basin
    Type: Dataset
    Format: text/tab-separated-values, 1024 data points
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  • 5
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    Lithogenic thorium fluxes into South Atlantic surface sediments (2023)
    PANGAEA
    Details
    Publication Date: 2024-02-17
    Description: We present the characteristics of the lithogenic components of seafloor surface sediments covering the entire South Atlantic Ocean (from the equator to Antarctica). These samples were collected by multiple seagoing expeditions between 1988 and 2005. This dataset describes the 230-Thorium-normalized fluxes of 232-Thorium, and the calculated specific fluxes for the four end-members that were obtained for the grain-size distributions (as presented in doi:10.1594/PANGAEA.961711). In addition, we present dust fluxes from model simulations at the same stations as the direct observations.
    Keywords: 06MT15_2; 06MT41_3; Agulhas Basin; Agulhas Ridge; Amundsen Sea; Angola Basin; ANT-IX/3; ANT-IX/4; ANT-VIII/3; ANT-X/5; ANT-X/6; ANT-XI/2; ANT-XI/4; ANT-XVII/4; ANT-XX/2; ANT-XXII/4; Argentine Basin; Ascencion Island; Atlantic Ridge; Brazil Basin; Calculated; Cape Basin; Central South Atlantic; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Discovery Seamount; dust; Dust, aeolian, flux; Dust flux; Eastern Rio Grande Rise; ELEVATION; End member, flux; end-member modelling; Equatorial Atlantic; Event label; GeoB1035-2; GeoB1117-3; GeoB1306-1; GeoB1308-1; GeoB1314-2; GeoB1401-2; GeoB1404-8; GeoB1407-8; GeoB1412-2; GeoB1724-2; GeoB1729-2; GeoB2018-1; GeoB2019-2; GeoB2021-4; GeoB2022-3; GeoB2116-2; GeoB2117-4; GeoB2814-3; GeoB2824-1; GeoB3803-1; GeoB3806-2; GeoB3808-7; GeoB5002-1; GeoB5004-2; GeoB5007-1; GeoB5008-3; GeoB5112-5; GeoB5115-2; GeoB5121-2; GeoB5132-2; GeoB5135-1; GeoB5137-1; GeoB5139-1; GeoB5142-2; GeoB6112-1; GeoB6402-9; GeoB6404-3; GeoB6407-2; GeoB6409-3; GeoB6411-4; GeoB6417-2; GeoB6426-2; GeoB7001-5; GeoB7002-1; GeoB7003-2; Giant box corer; GKG; grain size distribution; Gravity corer (Kiel type); Guinea Basin; Hunter Channel; ICP-MS, Thermo Fisher Scientific, Element 2; Indian Ocean; IRD; Islas Orcadas; Kongo delta; LATITUDE; Lazarev Sea; Lithogenic, flux; Lithogenic, flux, standard deviation; LONGITUDE; M15/2; M16/1; M20/2; M23/1; M23/2; M29/2; M34/3; M41/2; M41/3; M46/1; M46/4; M49/4; M6/6; M9/4; Meteor (1986); Meteor Rise; Mid Atlantic Ridge; Mid-Atlantic Ridge; MSN; MUC; MultiCorer; Multiple opening/closing net; Namibia continental slope; Northern Brasil Basin; Particle size distribution; PLA; Plankton net; Polarstern; PS16; PS16/321; PS16/342; PS16/354; PS1772-6; PS1777-7; PS1780-1; PS18; PS18/184; PS18/185; PS18/186; PS18/187; PS18/196; PS18/198; PS18/199; PS18/200; PS18/203; PS18/204; PS18/229; PS18/237; PS18/238; PS18/239; PS18/241; PS18/243; PS18/251; PS18/252; PS18/253; PS18/254; PS18/255; PS18/264; PS18/267; PS18/269; PS2037-2; PS2038-3; PS2039-2; PS2040-1; PS2049-3; PS2050-2; PS2051-2; PS2052-3; PS2055-3; PS2056-2; PS2073-1; PS2081-1; PS2082-3; PS2083-1; PS2084-2; PS2086-2; PS2093-1; PS2094-1; PS2095-1; PS2096-1; PS2097-1; PS2106-1; PS2109-3; PS2110-1; PS22; PS22/679; PS22/690; PS22/712; PS22/744; PS22/751; PS22/773; PS22/783; PS22/788; PS22/805; PS22/813; PS22/818; PS22/834; PS22/902; PS22/917; PS22/947; PS22/956; PS22 06AQANTX_5; PS2251-1; PS2254-1; PS2257-1; PS2268-6; PS2271-1; PS2278-5; PS2285-3; PS2290-1; PS2307-2; PS2315-1; PS2320-2; PS2335-3; PS2367-2; PS2370-5; PS2372-3; PS2374-2; PS2489-4; PS2491-4; PS2496-2; PS2509-1; PS2515-2; PS2518-2; PS2557-2; PS2561-1; PS2577-2; PS2587-1; PS28; PS28/256; PS28/264; PS28/298; PS28/352; PS28/378; PS28/395; PS30; PS30/004; PS30/030; PS30/113; PS30/126; PS56; PS56/206-2; PS56/207-1; PS56/210-2; PS63/027-2; PS63/038-2; PS63/041-2; PS63/049-2; PS63/054-5; PS63/076-2; PS63/082-2; PS63/095-3; PS63/105-1; PS63/106-2; PS63/109-1; PS63/111-1; PS63/112-4; PS63/113-1; PS63/114-2; PS63/117-1; PS63/118-2; PS63/120-3; PS63/123-3; PS63/126-3; PS63/136-2; PS63/141-2; PS63 06AQ200211_2; PS67; PS67/185-1; PS67/197-4; PS67/205-4; PS67/206-3; PS67/224-3; Riiser-Larsen Sea; Santos Plateau; Scotia Sea, southwest Atlantic; Simulated; SL; South Atlantic; South Atlantic Ocean; Southwest Guinea Basin; thorium normalization; Walvis Ridge; Weddell Sea; West Angola Basin
    Type: Dataset
    Format: text/tab-separated-values, 1246 data points
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  • 6
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    Simulating glacial dust changes in the Southern Hemisphere using ECHAM6.3-HAM2.3 (2022)
    Copernicus Publications (EGU)
    Details
    Publication Date: 2024-02-07
    Description: Mineral dust aerosol constitutes an important component of the Earth's climate system, not only on short timescales due to direct and indirect influences on the radiation budget but also on long timescales by acting as a fertilizer for the biosphere and thus affecting the global carbon cycle. For a quantitative assessment of its impact on the global climate, state-of-the-art atmospheric and aerosol models can be utilized. In this study, we use the ECHAM6.3-HAM2.3 model to perform global simulations of the mineral dust cycle for present-day (PD), pre-industrial (PI), and last glacial maximum (LGM) climate conditions. The intercomparison with marine sediment and ice core data, as well as other modeling studies, shows that the obtained annual dust emissions of 1221, 923, and 5159 Tg for PD, PI, and LGM, respectively, generally agree well with previous findings. Our analyses focusing on the Southern Hemisphere suggest that over 90 % of the mineral dust deposited over Antarctica are of Australian or South American origin during both PI and LGM. However, contrary to previous studies, we find that Australia contributes a higher proportion during the LGM, which is mainly caused by changes in the precipitation patterns. Obtained increased particle radii during the LGM can be traced back to increased sulfate condensation on the particle surfaces as a consequence of longer particle lifetimes. The meridional transport of mineral dust from its source regions to the South Pole takes place at different altitudes depending on the grain size of the dust particles. We find a trend of generally lower transport heights during the LGM compared to PI as a consequence of reduced convection due to colder surfaces, indicating a vertically less extensive Polar cell.
    Type: Article , PeerReviewed
    Format: text
    Format: text
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  • 7
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    Simulating glacial dust changes in the Southern Hemisphere using ECHAM6.3-HAM2.3 (2022)
    COPERNICUS GESELLSCHAFT MBH
    In:  EPIC3Climate of the Past, COPERNICUS GESELLSCHAFT MBH, 18(1), pp. 67-87, ISSN: 1814-9324
    Details
    Publication Date: 2022-02-15
    Description: Mineral dust aerosol constitutes an important component of the Earth’s climate system, not only on short timescales due to direct and indirect influences on the radiation budget but also on long timescales by acting as a fertilizer for the biosphere and thus affecting the global carbon cy- cle. For a quantitative assessment of its impact on the global climate, state-of-the-art atmospheric and aerosol models can be utilized. In this study, we use the ECHAM6.3-HAM2.3 model to perform global simulations of the mineral dust cy- cle for present-day (PD), pre-industrial (PI), and last glacial maximum (LGM) climate conditions. The intercomparison with marine sediment and ice core data, as well as other mod- eling studies, shows that the obtained annual dust emissions of 1221, 923, and 5159 Tg for PD, PI, and LGM, respectively, generally agree well with previous findings. Our analyses fo- cusing on the Southern Hemisphere suggest that over 90 % of the mineral dust deposited over Antarctica are of Australian or South American origin during both PI and LGM. How- ever, contrary to previous studies, we find that Australia con- tributes a higher proportion during the LGM, which is mainly caused by changes in the precipitation patterns. Obtained in- creased particle radii during the LGM can be traced back to increased sulfate condensation on the particle surfaces as a consequence of longer particle lifetimes. The meridional transport of mineral dust from its source regions to the South Pole takes place at different altitudes depending on the grain size of the dust particles. We find a trend of generally lower transport heights during the LGM compared to PI as a con- sequence of reduced convection due to colder surfaces, indi- cating a vertically less extensive Polar cell.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 8
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    Mineral dust simulations with ECHAM6.3-HAM2.3 for pre-industrial and last glacial maximum climate conditions with a focus on the Southern Hemisphere (2021)
    European Association of Geochemistry
    In:  EPIC3Goldschmidt2021 abstracts, European Association of Geochemistry
    Details
    Publication Date: 2023-09-19
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 9
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    Late Holocene Dust Deposition Fluxes Over the Entire South Atlantic Ocean (2024)
    American Geophysical Union (AGU)
    In:  EPIC3Geochemistry Geophysics Geosystems, American Geophysical Union (AGU), 25(1), ISSN: 1525-2027
    Details
    Publication Date: 2024-03-04
    Description: Mineral dust accumulated on the ocean floor is an important archive for reconstructing past atmospheric circulation changes and climatological conditions in the source areas. Dust emitted from Southern Hemisphere dust sources is widely deposited over the oceans. However, there are few records of dust deposition over the open ocean, and a large need for extended geographical coverage exists. We present a large data set (134 surface sediment samples) of Late Holocene dust deposition from seafloor surface sediments covering the entire South Atlantic Ocean. Polymodal grain-size distributions of the lithogenic fraction indicate that the sediments are composed of multiple sediment components. By using end-member modeling, we attempt to disentangle the dust signal from non-aeolian sediments. Combined with 230Th-normalized lithogenic fluxes, we quantified the specific deposition fluxes for mineral dust, crrent-sorted sediments and ice-rafted debris (IRD). Although the method could not completely separate the different components in every region, it shows that dust deposition off the most prominent dust source for the South Atlantic Ocean—southern South America—amounts up to approximately 0.7 g cm−2 Kyr−1 and decreases downwind. Bottom-current-sorted sediments and IRD are mostly concentrated around the continental margins. The ratio of the coarse to fine dust end members reveals input from north African dust sources to the South Atlantic. The majority of the observations are in good agreement with new model simulations. This extensive and relevant data set of dust grain size and deposition fluxes to the South Atlantic could be used to calibrate and validate further model simulations.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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