GLORIA

GEOMAR Library Ocean Research Information Access

feed icon rss

Ihre E-Mail wurde erfolgreich gesendet. Bitte prüfen Sie Ihren Maileingang.

Leider ist ein Fehler beim E-Mail-Versand aufgetreten. Bitte versuchen Sie es erneut.

Vorgang fortführen?

Exportieren
Filter
  • 2010-2014  (3)
  • 2005-2009  (2)
Schlagwörter
Sprache
Erscheinungszeitraum
Jahr
  • 1
    Buch
    Buch
    Amsterdam [u.a.] : Elsevier
    Schlagwort(e): Aufsatzsammlung ; Quartär ; Vergletscherung
    Materialart: Buch
    Seiten: 231 S. , Ill. graph. Darst., Kt. , 28 cm
    Serie: Quaternary international 138/139
    Sprache: Englisch
    Anmerkung: Literaturangaben
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 2
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Supplement to: Hessler, Ines; Harrison, S P; Kucera, Michal; Waelbroeck, Claire; Chen, Min-Te; Anderson, Carin; de Vernal, Anne; Fréchette, Bianca; Cloke-Hayes, Angela; Leduc, Guillaume; Londeix, Laurent (2014): Implication of methodological uncertainties for mid-Holocene sea surface temperature reconstructions. Climate of the Past, 10(6), 2237-2252, https://doi.org/10.5194/cp-10-2237-2014
    Publikationsdatum: 2023-03-03
    Beschreibung: We present and examine a multi-sensor global compilation of mid-Holocene (MH) sea surface temperatures (SST), based on Mg/Ca and alkenone palaeothermometry and reconstructions obtained using planktonic foraminifera and organic-walled dinoflagellate cyst census counts. We assess the uncertainties originating from using different methodologies and evaluate the potential of MH SST reconstructions as a benchmark for climate-model simulations. The comparison between different analytical approaches (time frame, baseline climate) shows the choice of time window for the MH has a negligible effect on the reconstructed SST pattern, but the choice of baseline climate affects both the magnitude and spatial pattern of the reconstructed SSTs. Comparison of the SST reconstructions made using different sensors shows significant discrepancies at a regional scale, with uncertainties often exceeding the reconstructed SST anomaly. Apparent patterns in SST may largely be a reflection of the use of different sensors in different regions. Overall, the uncertainties associated with the SST reconstructions are generally larger than the MH anomalies. Thus, the SST data currently available cannot serve as a target for benchmarking model simulations.
    Schlagwort(e): Center for Marine Environmental Sciences; MARUM
    Materialart: Dataset
    Format: application/zip, 2 datasets
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 3
    Publikationsdatum: 2024-02-13
    Schlagwort(e): 101; 108-658C; 13078-016; 160-964; 160-967D; 160-969; 160-969E; 160-973; 161-974; 161-975; 161-976C; 161-977; 162-984; 165-1002C; 165-999; 167-1012B; 167-1017E; 167-1019C; 175-1078C; 175-1084B; 184-1145; 2; 2004-804-009; 2005-804-004; 2005-804-006; 202-1233; 202-1240; 202-1242; 225514; 225517; 255; 3664N/S; 36C; 79US/Fr; 89; A-7; AD91-17; Adriatic Sea; AGE; Alboran Sea; also published as VM28-122; Angola Basin; Arabian Sea; Arctic Ocean; Atlantic Ocean; AUSCAN; B-3GC; Barrow Canyon; Bay of Bengal; BENGAL FAN; Benguela Current, South Atlantic Ocean; BOFS31/1K; BOFS31#1; BS79-33; BS79-38; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso square corer; Canarias Sea; Caribbean Sea; CASQ; Cayman Rise, Caribbean Sea; CD159-12; CD53; Center for Marine Environmental Sciences; CEPAG; CH07-98-GGC19; CH69-K09; CH77-02; Charles Darwin; Chatham Rise; CHIPAL; CLIVAMPcruises; Cocos Ridge; Comment; COMPCORE; Composite Core; Congo Fan; D13882; D226; D249; De Soto Canyon; Discovery (1962); DRILL; Drilling/drill rig; E017; East Bight Fracture Zone; East China Sea, Pacific Ocean; Eastern Basin; East Pacific; Emperor Seamounts; Equatorial East Pacific; Event label; FAEGAS_IV; GC; GeoB10029-4; GeoB10038-4; GeoB1023-5; GeoB1710-3; GeoB1711; GeoB1711-4; GeoB1712-4; GeoB3129-1; GeoB3313-1; GeoB3910-2; GeoB4905-4; GeoB5546-2; GeoB5844-2; GeoB5901-2; GeoB6007-2; GeoB6518-1; GeoB7112-5; GeoB7139-2; GeoB7926-2; GEOSCIENCES, MARMARCORE; GGC; GGC-15-1; Giant box corer; Giant gravity corer; Giant piston corer; GIK16773-1; GIK17748-2; GIK17938-2; GIK17940-2; GIK17964-1; GIK18252-3; GIK18287-3; GIK23258-2; GIK23323-1; GINCO 3; GKG; GPC; Gravity corer; Gravity corer (Kiel type); Greenland Rise; Hakuho-Maru; Healy; Healy-Oden Trans-Arctic Expedition; HLY0501-05JPC; HM03-133-25; HOTLINE, HYGAPE; HOTRAX_2005; HU-2003-033-011; HU-84-030-021PC; HU-84-030-021TWC; HU-90-031-019; HU-90-031-044; HU90-13-013; HU-91-039-008; HU-91-045-072; HU-91-045-080; HU-91-045-085; HU91-045-094; HUD90/13; Hudson; IMAGES I; IMAGES III - IPHIS; IMAGES IV-IPHIS III; IMAGES IX - PAGE; IMAGES V; IMAGES VIII - MONA; IMAGES VII - WEPAMA; IMAGES XIII - PECTEN; IMAGES XII - MARCO POLO; IN68-9; Indian Ocean; Indonesia; IOW225514; IOW225517; James Clark Ross; Jan Mayen; Jean Charcot; JM96; JM96-1207/1-GC; Joides Resolution; JOPSII-6; JR20000727; JR51; JR51GC-35; JT96-09; JT96-09PC; KAL; KAL20; KASTEN; Kasten corer; Kasten corer (1 m**2); Kasten corer 20 cm; KH-01-3; KH-01-3-19; KL; KL-74, AS-12; Knorr; KNR140; KNR140-2-51GGC; KNR140-51GGC; KNR176-2; KNR176-JPC32; KOL; KS310; Kurilen Trench; KY07-04-PC1; LAPAZ21P; LC21, LC-21; Leg108; Leg160; Leg161; Leg162; Leg165; Leg167; Leg175; Leg184; Leg202; Le Noroit; Le Suroît; LINK14; M20/2; M34/4; M35/1; M35003-4; M39/1; M39/1_08-3; M39008-3; M40/4; M40/4_SL78; M40/4_SL78-3; M40/4_SL80; M40/4_SL82; M41/1; M42/4b; M44/1; M44/1_71MC; M44/3; M45/1; M45/5a; M47/3; M53/1; M6/5; M6/6; M7/2; M7/4; Marge Ibérique; Marion Dufresne (1972); Marion Dufresne (1995); Marmara Sea; MARUM; Material; MD01-2334; MD012378; MD01-2378; MD012390; MD01-2390; MD012392; MD01-2392; MD012394; MD01-2394; MD012404; MD01-2404; MD012412; MD01-2412; MD012416; MD01-2416; MD01-2430; MD01-2443; MD022529; MD02-2529; MD022575; MD02-2575; MD032611G; MD03-2611G; MD03-2707; MD04-2747CQ; MD04-2797CQ; MD052904; MD05-2904; MD052928; MD05-2928; MD101; MD106; MD111; MD114; MD122; MD123; MD126; MD127; MD13; MD131; MD147; MD148; MD77-194; MD79-257; MD81; MD81-LC21; MD85674; MD94-103; MD952011; MD95-2011; MD952015; MD95-2015; MD952033; MD95-2033; MD952040; MD95-2040; MD952042; MD95-2042; MD952043; MD95-2043; MD972120; MD97-2120; MD972121; MD97-2121; MD972125; MD97-2125; MD972141; MD97-2141; MD972142; MD97-2142; MD972146; MD97-2146; MD972148; MD97-2148; MD972151; MD97-2151; MD982162; MD98-2162; MD982165; MD98-2165; MD982170; MD98-2170; MD982176; MD98-2176; MD982181; MD98-2181; MD982193; MD98-2193; MD992220; MD99-2220; MD99-2227; MD99-2251; MD99-2254; MD99-2269; MD99-2284; MD99-2346; ME0005A; ME0005A-24JC; Mediterranean Sea; Melville; Meteor (1986); MONITOR MONSUN; MR00-K03-PC01; MUC; MultiCorer; N.Iceland shelf, Reykjafjardarall; N. Shetland channel; NA87-22; Namibia continental slope; NEAP; NEAP-17K; NE-Brazilian continental margin; NEMO; Newfoundland margin; North Atlantic; Northeast Atlantic; Northeast Brasilian Margin; Northern Red Sea; North Pacific Ocean; North-West African margin; Northwest Atlantic; OCE326-GGC26; OCE326-GGC30; off Cameroon; off Chile; OSIRIS4; OSIRIS III; PABESIA; Pacific Ocean; PAKOMIN; PALAEOFLUX; Papua Plateau; PC; PC-17; PC-2; PC-4; Piston corer; Piston corer (BGR type); Piston corer (Kiel type); PL07-39PC; PL-96-112; Porto Seamount; Portuguese Margin; Professor Logachev; PUCK; RAPID-12-1K; RC24; RC24-16; Reference/source; Reykjanes Ridge; ride Calmar; RL11; RN88-PC5; RN92-PC3; RN92-PC4; RN93-PC1; RN93-PC3; RN93-PC4; RN93-PC6; RN94-PC3; RN96-PC1; Robert Conrad; Rockall; ROMANCHA; Sample code/label; SCS90-36; Sea of Marmara; Sea surface temperature, annual mean; Sea surface temperature, summer; Sea surface temperature, winter; Ship of opportunity; Sierra Leone Basin/Guinea Basin; SL; SO102/1; SO115; SO115_05; SO115_40; SO136; SO136_011GC; SO139; SO139-74KL; SO156/2; SO184/1; SO42; SO42-74KL; SO80_4; SO80a; SO90; SO90_93KL; SO93/3; SO93/3_126KL; SO95; Sonne; South Atlantic Ocean; South China Sea; South-East Pacific; Southern Ocean; Southern Okhotsk Sea; South Pacific Ocean; SSDP102; St.14; SU81-18; SUNDAFLUT; Sunda Shelf; TASQWA; TC; Timor Sea; Tirreno Sea; TN057-21; TR163-19; TR163-22; Trigger corer; TTR-17_MS419; TTR-17/1; TY93-905; upper Laurentien Island; V19; V19-27; V19-28; V19-30; V21; V21-30; V28; V28-122; V30; V30-36; Vema; Victor Hensen; Vietnam shelf; Voring Plateau; W8709A; W8709A-8TC; Wecoma; Western Basin
    Materialart: Dataset
    Format: text/tab-separated-values, 6357 data points
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 4
    Publikationsdatum: 2024-02-02
    Schlagwort(e): 160-964A; 160-969A; 160-973A; 161-974B; 161-975B; Age, 14C AMS; Age, calibrated; Age, comment; Age, dated; Age, dated standard deviation; Age, maximum/old; Age, minimum/young; Center for Marine Environmental Sciences; DEPTH, sediment/rock; DRILL; Drilling/drill rig; Eastern Basin; Event label; GeoB3129-1; GeoB5546-2; Gravity corer (Kiel type); Joides Resolution; JOPSII-6; KL; Leg160; Leg161; M40/4; M40/4_SL80; M40/4_SL82; M42/4b; MARUM; Meteor (1986); NE-Brazilian continental margin; Piston corer (BGR type); Sample code/label; SL; Tirreno Sea; Victor Hensen; Western Basin
    Materialart: Dataset
    Format: text/tab-separated-values, 246 data points
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 5
    ISSN: 1365-2486
    Quelle: Blackwell Publishing Journal Backfiles 1879-2005
    Thema: Biologie , Energietechnik , Geographie
    Notizen: Ecosystem processes are important determinants of the biogeochemistry of the ocean, and they can be profoundly affected by changes in climate. Ocean models currently express ecosystem processes through empirically derived parameterizations that tightly link key geochemical tracers to ocean physics. The explicit inclusion of ecosystem processes in models will permit ecological changes to be taken into account, and will allow us to address several important questions, including the causes of observed glacial–interglacial changes in atmospheric trace gases and aerosols, and how the oceanic uptake of CO2 is likely to change in the future. There is an urgent need to assess our mechanistic understanding of the environmental factors that exert control over marine ecosystems, and to represent their natural complexity based on theoretical understanding. We present a prototype design for a Dynamic Green Ocean Model (DGOM) based on the identification of (a) key plankton functional types that need to be simulated explicitly to capture important biogeochemical processes in the ocean; (b) key processes controlling the growth and mortality of these functional types and hence their interactions; and (c) sources of information necessary to parameterize each of these processes within a modeling framework. We also develop a strategy for model evaluation, based on simulation of both past and present mean state and variability, and identify potential sources of validation data for each. Finally, we present a DGOM-based strategy for addressing key questions in ocean biogeochemistry. This paper thus presents ongoing work in ocean biogeochemical modeling, which, it is hoped will motivate international collaborations to improve our understanding of the role of the ocean in the climate system.
    Materialart: Digitale Medien
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
Schließen ⊗
Diese Webseite nutzt Cookies und das Analyse-Tool Matomo. Weitere Informationen finden Sie hier...