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  • 1
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Schüpbach, Simon; Federer, Urs; Kaufmann, Patrik R; Albani, Samuel; Barbante, Carlo; Stocker, Thomas F; Fischer, Hubertus (2013): High-resolution mineral dust and sea ice proxy records from the Talos Dome ice core. Climate of the Past, 9(6), 2789-2807, https://doi.org/10.5194/cp-9-2789-2013
    Publication Date: 2023-10-19
    Description: In this study we report on new non-sea salt calcium (nssCa2+, mineral dust proxy) and sea salt sodium (ssNa+, sea ice proxy) records along the East Antarctic Talos Dome deep ice core in centennial resolution reaching back 150 thousand years (ka) before present. During glacial conditions nssCa2+ fluxes in Talos Dome are strongly related to temperature as has been observed before in other deep Antarctic ice core records, and has been associated with synchronous changes in the main source region (southern South America) during climate variations in the last glacial. However, during warmer climate conditions Talos Dome mineral dust input is clearly elevated compared to other records mainly due to the contribution of additional local dust sources in the Ross Sea area. Based on a simple transport model, we compare nssCa2+ fluxes of different East Antarctic ice cores. From this multi-site comparison we conclude that changes in transport efficiency or atmospheric lifetime of dust particles do have a minor effect compared to source strength changes on the large-scale concentration changes observed in Antarctic ice cores during climate variations of the past 150 ka. Our transport model applied on ice core data is further validated by climate model data. The availability of multiple East Antarctic nssCa2+ records also allows for a revision of a former estimate on the atmospheric CO2 sensitivity to reduced dust induced iron fertilisation in the Southern Ocean during the transition from the Last Glacial Maximum to the Holocene (T1). While a former estimate based on the EPICA Dome C (EDC) record only suggested 20 ppm, we find that reduced dust induced iron fertilisation in the Southern Ocean may be responsible for up to 40 ppm of the total atmospheric CO2 increase during T1. During the last interglacial, ssNa+ levels of EDC and EPICA Dronning Maud Land (EDML) are only half of the Holocene levels, in line with higher temperatures during that period, indicating much reduced sea ice extent in the Atlantic as well as the Indian Ocean sector of the Southern Ocean. In contrast, Holocene ssNa+ flux in Talos Dome is about the same as during the last interglacial, indicating that there was similar ice cover present in the Ross Sea area during MIS 5.5 as during the Holocene.
    Keywords: AGE; Calcium; CFA; Continuous Flow Analysis; DEPTH, ice/snow; ICEDRILL; Ice drill; Sodium ion; TALDICE; Talos_Dome
    Type: Dataset
    Format: text/tab-separated-values, 192552 data points
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  • 2
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Baccolo, Giovanni; Delmonte, Barbara; Albani, Samuel; Baroni, Carlo; Cibin, Giannantonio; Frezzotti, Massimo; Hampai, Dariush; Marcelli, Augusto; Revel, M; Salvatore, Maria Cristina; Stenni, Barbara; Maggi, Valter (2018): Regionalization of the atmospheric dust cycle on the periphery of the East Antarctic ice sheet since the Last Glacial Maximum. Geochemistry, Geophysics, Geosystems, https://doi.org/10.1029/2018GC007658
    Publication Date: 2023-10-19
    Description: The present data concerns: -Atmospheric dust concentration from the Antarctic ice core Talos Dome during the time interval between 700 and 25,000 years before present (AICC2012 chronology). -Dust Potential Source Areas Composition: the major element composition of potential dust source areas from Antarctica (Victoria Land), Australia and South America. -The major element composition of the atmospheric mineral dust extracted from the Talos Dome ice core sections. The age of the samples ranges between 1.9 Kyr BP and 32.9 Kyr BP (AICC2012 chronology).
    Keywords: TALDICE; Talos Dome Ice Core
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 3
    Publication Date: 2023-10-19
    Keywords: Aluminium oxide; Calcium oxide; Calculated after Nesbitt & Young (1982); Camberra; Chemical index of alteration; Chisolm_Hills; Continent; Cooberpedy; Cordoba_Area; Event label; Frontier_Mts; Iron oxide, Fe2O3; LAND; Latitude of event; Location; Longitude of event; Magnesium oxide; Manganese oxide; Marryat; Mesa_Range; Miller-Butte; Mt_Bower; Pampas_2; Pampas_4; Parna; Potassium oxide; Puerto_Madryn; Rainbow_Valley; Ricker_Hills; Roberts_Butte; Sampling/measurement on land; Silicon dioxide; Simpson_Desert; Sodium oxide; TALDICE; Talos Dome Ice Core; Titanium dioxide; Tobin_Mesa; Type; Uluru; Wagga_Wagga; Woomera; X-ray fluorescence with synchrotron radiation
    Type: Dataset
    Format: text/tab-separated-values, 455 data points
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  • 4
    Publication Date: 2023-10-19
    Keywords: AGE; Aluminium oxide; Calcium oxide; Calculated after Nesbitt & Young (1982); Chemical index of alteration; Climatic interval; DEPTH, ice/snow; ICEDRILL; Ice drill; Iron oxide, Fe2O3; Magnesium oxide; Manganese oxide; Potassium oxide; Silicon dioxide; Sodium oxide; TALDICE; Talos_Dome; Talos Dome Ice Core; Titanium dioxide; X-ray fluorescence with synchrotron radiation
    Type: Dataset
    Format: text/tab-separated-values, 396 data points
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  • 5
    Publication Date: 2024-02-21
    Description: Paleo±Dust is an updated compilation of bulk and 〈10-µm paleo-dust deposition rate with quantitative 1-σ uncertainties that are inter-comparable among archive types (lake sediment cores, marine sediment cores, polar ice cores, peat bog cores, loess samples). Paleo±Dust incorporates a total of 285 pre-industrial Holocene (pi-HOL) and 209 Last Glacial Maximum (LGM) dust flux constraints from studies published until December 2022. We also recalculate previously published dust fluxes to exclude data from the last deglaciation and thus obtain more representative constraints for the last pre-industrial interglacial and glacial end-member climate states. Metadata include all components necessary to derive dust deposition rate, including: age range, thickness, density, eolian content. We also include 1-sigma uncertainties on each of these components, and on the final bulk and 〈10-µm dust deposition rates. Specific notes for each site and a list of references are also included.
    Keywords: Dust flux; Holocene; Ice core; Lake sediment core; Last Glacial Maximum; Loess; Marine Sediment Core; Peat bog; Uncertainty
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 6
    Publication Date: 2024-03-18
    Keywords: Accumulation rate in ice equivalent per year; AGE; DEPTH, ice/snow; Dust, flux; Dust, flux, standard deviation; ICEDRILL; Ice drill; Sample code/label; see comment; TALDICE; Talos_Dome; Talos Dome Ice Core
    Type: Dataset
    Format: text/tab-separated-values, 5208 data points
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  • 7
    Publication Date: 2024-03-25
    Keywords: 0038PG; 11071651 Pistoncore2; 11191756 Piston core 8, TT013-PC72; 12JPC; 130-806; 138-848B; 138-849A; 138-850A; 138-851E; 138-852A; 138-853B; 14MC-13BB; 21MC_20BB; 26MC-25BB; 29MC-28BB; 33MC_32BB; 39MC-36BB; 74KL_sed; 90-593; Accumulation rate, dust, per year; Accumulation rate, dust, per year, size fraction 〈 10 µm; Accumulation rate, dust, per year, size fraction 〈 10 µm, standard deviation; Accumulation rate, dust, per year, standard deviation; Accumulation rate, sediment, mean per year; Accumulation rate, sediment, standard deviation; Achenheim; Aeolian components, fractional; Aeolian components, standard deviation; Age, maximum/old; Age, maximum/old, standard deviation; Age, minimum/young; Age, minimum/young, standard deviation; Albertirsa; Angola Basin; Antarctica; ANT-XI/2; ANT-XXVI/2; APSARA4; Area/locality; Argentina; Atlantic Ocean; Australia; Austria; BC; BCCPT; Beiguoyuan; Beiyuantou; Belgium; Bellevue; Bignell-Hill; Boeckingen; Boenningheim; Borehole-OT-1; Box corer; Caijiagou; calculated, 1 sigma; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso Square Core System; Canteen-Creek; Canterbury-Plains; CASQS; CD129; Charles Darwin; China; Chumbur-Kosa; COMPCORE; Composite Core; Core; CORE; Core-G39; Crawford; Crvenka; Czech Republic; Darai-Kalon; Debrecen-Alfoldi-brickyard; Density, dry bulk; Density, dry bulk, standard deviation; Depth, sediment/rock, standard deviation; Dolni-Vestonice; Dome C; Dome C, Antarctica; DRILL; Drilling/drill rig; Dunaszekcso; Dunlap; Dust flux; Dust mass fraction 〈 10 µm, fractional; Dust mass fraction 〈 10 µm, standard deviation; E26-1; EDC; Egg-Lake; EN06601; EN066-21GGC; EN066-29GGC; EN066-38PG; Endeavor; EPICA Dome C; Equatorial East Pacific; Equatorial Pacific; Eustis; Event label; Flag; France; Gaolanshan; GC; GeoB1035-1; GeoB3808-6; Germany; GISP; GISP2; Glomar Challenger; Gorina; Gravity corer; Gravity corer (Kiel type); Greenland; Gulang; Gulf of Aden; Halfway-House; Halyc; Heimugou-1; Hoalin; Holocene; Huangshan; Hummeston; Hungary; Ice_core_diverse; Ice core; ICEDRILL; Ice drill; IMAGES III - IPHIS; IMAGES XV - Pachiderme; India; Indian Ocean; INDIEN SUD 2; Iran; Irig; Iskitim; Israel; Jingyuan; Jingyuan-II; Joides Resolution; JPC; Jumbo Piston Core; KAL; Kalat-e-Naderi-a; Kasten corer; Katymar-brickyard; Kazakhstan; Keller-Farm; Kisiljevo; KL; KL11_sed; KL15_sed; KL23_sed; KNR73-3PC; KNR73-4PC; KS15-5; Lake sediment core; Last Glacial Maximum; LATITUDE; Leg130; Leg138; Leg90; Le Suroît; Lihkvin; Lingezhuang; Liujiapo-1; Loess; LOESS; Loess profile; LONGITUDE; Loveland; Lowland-Point; Lozada; Lozhok; M34/3; M45/5_86; M45/5_90; M45/5a; M6/6; Madaras-brickyard; Majiayuan; Marine Sediment Core; Marion Dufresne (1972); Marion Dufresne (1995); MC1208-17PC; MC1208-31BB; McCook; MD03-2705; MD07-3076; MD07-3076Q; MD106; MD11-3357; MD159; MD185; MD88-769; MD88-770; MD94-102; MD94-104; MD972138; MD97-2138; ME0005-24JC; Melville; Mende; Meteor (1986); Mid Atlantic Ridge; Mitoc-Malu-Galben; ML1208-37BB; Molodova-V; Morrison; MSN; MtCass-E2a; MUC; MultiCorer; Multiple opening/closing net; MV1014-02-17JC; MW91-9-GGC48; Natchez; Native-Companion-Lagoon; Neka; New Zealand; NGRIP2; Nilka; North Atlantic; NorthGRIP; North Pacific Ocean; Nosak; Now-Deh; Nussloch; OC437-07; OC437-07_GC27; OC437-07_GC49; OCE437-07-GC68; Oceanus; P7; Pacific Ocean; PALEOCINAT; Panama Basin; Panama-Bentley; PC; Peat bog; Pegwell-Bay; Piston corer; Piston corer (BGR type); PLDS-007G; PLDS-1; Pleiades; Polarstern; Primorskoje; PS2498-1; PS28; PS28/304; PS75/059-2; PS75/100-4; PS75 BIPOMAC; Ramat-Beka; Rapids-City; RC08; RC08-102; RC11; RC1112; RC11-210; RC11-238; RC13; RC13-114; RC13-140; RC13-189; RC14; RC14-105; RC17; RC17-177; RC24; RC24-1; RC24-12; RC24-7; RC27; RC27-42; Red Sea; Reference/source; Remicourt; Remizovka; RNDB-PC13; Robert Conrad; Rocourt; Romania; Romont-East; Russia; Salt-Creek; Sampling/drilling ice; SEDCO; Sediment corer; Semlac; Serbia; Shankerpora; Shaozhuang; Sihailongwan; SL; SO136; SO136_038GC-6; SO14-08-05; Sonne; South Atlantic; South Atlantic Ocean; Southern Ocean; South Pacific; South Pacific/Tasman Sea/PLATEAU; South Pacific Ocean; Southwest Pacific Ocean; Stari-Slankamen; St-Michael-Island-Zagoskin-Lake; SU90-03; SU90-08; SU90-09; SU90-11; Surduk-2; SW Indian Ocean; Szeged-Othalom-I; Tajikistan; TASQWA; Thickness; Thomas G. Thompson; Thomas G. Thompson (1964); TLD_loess; TN057-21; TN057-6-PC4; Tortugas-II; Toshan; TR163-19; TR163-22; TR163-31; TT013; TT013_18; TT013_72; TT013-MC112; TT013-MC34; TT013-MC97; TT154-10; TTXXX; Type; Ukraine; Uncertainty; United Kingdom; USA; V19; V19-28; V20; V20-122; V20-234; V21; V21-146; V21-40; V22; V22-182; V28; V28-203; V28-238; V30; V30-40; V32; V32-126; V32-128; Valikhanov; Veliki-Surduk; Vema; Vicksburg_loess; Vostok; VTR01-10GGC; W8709A; W8709A-1; Wecoma; Weinan; West-Helena; Willendorf-Il; WIND; WIND-28K; XEB_loess; Xiaoerbulake; Xifeng; Xifeng-II; Xueyuan; Xunyi; XY17_loess; XZP; Y69-106P; Y69-71P; Y9; Y9_core; YALOC69; Yaoxian-I; Yaquina; Yuanbao; Yuanpu-Yuanbo; Zeketai; Zhaosu-Boma; Zhongjiacai; Zhouqu; ZS_loess
    Type: Dataset
    Format: text/tab-separated-values, 3347 data points
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  • 8
    Publication Date: 2024-03-25
    Keywords: 0038PG; 0055PG; 0058PG; 0082PG; 11071651 Pistoncore2; 11191756 Piston core 8, TT013-PC72; 12JPC; 138-848B; 138-849A; 138-850A; 138-851E; 138-852A; 138-853B; 145-887; 14MC_13BB; 16MC_sed; 177-1088; 1MC_sed; 21MC_20BB; 26MC-25BB; 29MC-28BB; 33MC_32BB; 342; 39MC-36BB; 74KL_sed; 7MC_sed; 90-593; 9MC_sed; Accumulation rate, dust, per year; Accumulation rate, dust, per year, size fraction 〈 10 µm; Accumulation rate, dust, per year, size fraction 〈 10 µm, standard deviation; Accumulation rate, dust, per year, standard deviation; Accumulation rate, sediment, mean per year; Accumulation rate, sediment, standard deviation; Aeolian components, fractional; Aeolian components, standard deviation; Age, maximum/old; Age, maximum/old, standard deviation; Age, minimum/young; Age, minimum/young, standard deviation; Ahklun-Mountains; Alaska, USA; Amazon Fan; Amsterdam-Island; Antarctica; ANT-XI/2; ANT-XXVI/2; APSARA4; Area/locality; Argentina; Atlantic Ocean; Australia; Baicaoyuan; Baie_Canada; Baimapo; Banshan; Baoji-Lingyuan; Barrhill; Barton-County; Baxie-Dongxiang; BC; Beglitsa; Beiguoyuan; Beiguoyuan-II; Beisel-Steinle; Beiyuan; Beiyuantou; Belgium; Bering Sea; Bignell-Hill-1; Blue-Lake; Borehole-OT-1; Box corer; calculated, 1 sigma; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Canada; Canterbury-Plains-II; Caocun; CD129; Chagelebulu-1-Cagelebulu; Changwu; Charles Darwin; Chatanika-River; Chena; Chenjiawo-Lantian-1; Chile; China; Chitina; Chumbur-Kosa; Chunhua; Clear; Columbine; COMPCORE; Composite Core; Copper, Alaska, U.S.A., North America; Core; CORE; CRATER; Crater lake, USA; Crvenka; Dadiwan; Davidsmosse; Debrecen-Alfoldi-brickyard; Delta-Junction; Density, dry bulk; Density, dry bulk, standard deviation; Depth, sediment/rock, standard deviation; Dome C; Dome C, Antarctica; Draftinge-Mosse; DRILL; Drilling/drill rig; Duanjiapo-Lantian-2; Duowa; Dust flux; Dust mass fraction 〈 10 µm, fractional; Dust mass fraction 〈 10 µm, standard deviation; E26-1; EDC; Emperor Seamount; EN06601; EN066-21GGC; EN066-29GGC; EN066-38PG; Endeavor; ENV; Environmental investigation; EPICA Dome C; Equatorial East Pacific; Equatorial Pacific; Event label; Finnhojden; Flag; Focun; Fox/Goldstream; Ganzi; Gaobai; Gaolanshan; GC; GeoB1515-1; GeoB1523-1; GGC37-VG19; GISP; GISP2; Global River Discharge; Glomar Challenger; Gorina; Grashojden; Gravity corer; Gravity corer (Kiel type); Greenland; Gulf of Aden; Halfway-House; Hani; Harberton; Hoalin; Hokberg; Holocene; Hongtushan; Hookers-Point_Malvinas-Islands; Huanglong; Huangshan; Huangyanghe; Huanxian; Hungary; Hura-Village; Ice_core_diverse; Ice core; ICEDRILL; Ice drill; Ile-du-Havre; IMAGES III - IPHIS; India; Indian Ocean; INDIEN SUD 2; Indonesia; Iran; Irig; Israel; Jiezicun-Jiezhichun; Jikariya-Lake; Jingbian-I; Jingbian-II; Jingchuan; Jingyuan; Jiuzhoutai-Lanzhou; Joides Resolution; JPC; Jumbo Piston Core; Kajemarum-Oasis; KAL; Kalat-e-Naderi-a; Karukinka; Kasten corer; Kazakhstan; Kenai-1; Kenai-2; Kirpichny; KL; KL11_sed; KL15_sed; KL23_sed; KN11002; Knorr; KNR110-55; KNR110-58; KNR110-82; KNR73-4PC; KS15-5; Kuma; Kurortne; Kyrgyz; La_Grande_coreLG2; Lake sediment core; Landa; Laoguantai; Last Glacial Maximum; LATITUDE; Leg138; Leg145; Leg177; Leg90; Leninsk-I; Le Suroît; LG2; LGG_loess; Lijiayuan; Likhvin; Lingtai; LJW10; Loess; LOESS; Loess profile; LONGITUDE; Lozada; Lozhok; LRC_loess; Lujiaowan; Lynch-Crater; M16/2; Majiayuan; Malvinas-Islands; Marine Sediment Core; Marion Dufresne (1972); Marion Dufresne (1995); Matanuska-Valley; MC1208-17PC; MC1208-31BB; MD03-2705; MD106; MD11-3357; MD185; MD88-769; MD88-770; MD94-102; MD94-104; MD972138; MD97-2138; ME0005-24JC; Melville; Mengdashan; Meteor (1986); Mfabeni-MF4-12; Misten; ML1208-37BB; MOHOS; Mohos, Romania; Mt-Harif; MUC; Mujiayuan-Wupu; MultiCorer; MV1014-02-17JC; MW91-9-GGC48; Namibia; Naponee; Native-Companion-Lagoon; Neor-Lake; New Zealand; NGRIP2; Nigeria; Nilka; Ningxian; NLT17; Nome; North Atlantic; NorthGRIP; North Pacific Ocean; OC437-07; OC437-07_GC27; OC437-07_GC37; OC437-07_GC49; OC437-07_GC66; OC437-07_GC68; Oceanus; Opuwo_Namibia; OWR; P7; Pacific Ocean; PALEOCINAT; Palouse; Panama Basin; PC; Peat bog; PEATC; Peat corer; Pegwell-Bay; Peters; Phorphyry; Piston corer; Piston corer (BGR type); PLDS-007G; PLDS-1; Pleiades; Polarstern; Primorskoje; PS2498-1; PS28; PS28/304; PS75/059-2; PS75/100-4; PS75 BIPOMAC; Qilian-Shan; Qilian-Shan-section; Qumalai-2; Qumalai-5; Ramat-Beka; Ramnicu-Sarat; RC08; RC08-102; RC13; RC13-140; RC13-189; RC14; RC14-105; RC14-121; RC17; RC17-177; RC24; RC24-1; RC24-12; RC24-7; RC27; RC27-42; Red Sea; Reference/source; Renjiahutong; RGS; Rio-Rubens; River gauging station; RNDB-74P; Robat-e-Khakestari; Robert Conrad; Romania; Romantic; Roxolany; RPC; Rudak; Russia; Russian peat corer; SA6_5; Sagwon; Sampling/drilling ice; Santa-Victoria; SeaLevel; SEDCO; Sediment corer; Semlac; Serbia; Shankerpora; Shaozhuang; Shaw-Creek-Flats; Shiguanzhi; Sihailongwan; SL; Slope-Mt-Brooks-Range; SO136; SO136_038GC-6; SO14-08-05; Sonne; South-Africa; South Atlantic; South Atlantic Ocean; Southern Ocean; South Pacific; South Pacific/Tasman Sea/PLATEAU; South Pacific Ocean; Southwest Pacific Ocean; Spain; Stari-Slankamen; St-Michael-Island-Puyuk-Lake; St-Michael-Island-Zagoskin-Lake; Store_Mosse; SU90-03; Sweden; SW Indian Ocean; Tajik-Basin; Tajikistan; TASQWA; Taul-Muced; TGS; Thickness; Thomas G. Thompson; Tide gauge station; TLD_loess; TLD16; TN057-21; TN057-6-PC4; Tongde; Tortugas-I; TR163-19; TR163-22; TREE; Tree ring sampling; TT013; TT013_18; TT013_72; TT013-MC19; TT013-MC27; Tuxiangdao; Type; Ukraine; Uncertainty; United Kingdom; Upper-Snowy-Core; USA; Uzbekistan; V19; V19-29; V20; V20-122; V20-234; V21; V21-146; V21-29; V22; V22-182; V28; V28-203; V30; V30-40; V32; V32-126; Valikhanov; Veliki-Surduk; Vema; Vostok; WDD; Weinan; Weinan-2; Weinan-Yangguo; WIND; WIND-28K; Wulipu; XEB_loess; Xiadongcun-Jixian; Xiala; Xiangpishan; Xiaoerbulake; Xifeng; Xifeng-II; Xinghai; Xining-Dadunling; Xistral-Mountains; Xueyuan; Xunyi; XY17_loess; XZP; Y69-106P; Y69-71P; Y9; Y9_core; YALOC69; Yanchang; Yaoxian-I; Yaoxian-II-YX; Yaquina; Yellibadragh; Yichuan; Yinwan; Yuanbao; Yuanpu-Yuanbo-Xinzhuangyuan; Yuexi; Zeketai; Zhaitang; Zhangjiayuan; Zhaojiachuan; Zhenbeitai; Zhouqu; ZS_loess
    Type: Dataset
    Format: text/tab-separated-values, 4965 data points
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  • 9
    Publication Date: 2017-11-20
    Description: The Last Glacial Maximum (LGM, 21 000 years ago) is one of the suite of paleoclimate simulations included in the current phase of the Coupled Model Intercomparison Project (CMIP6). It is an interval when insolation was similar to the present, but global ice volume was at a maximum, eustatic sea level was at or close to a minimum, greenhouse gas concentrations were lower, atmospheric aerosol loadings were higher than today, and vegetation and land-surface characteristics were different from today. The LGM has been a focus for the Paleoclimate Modelling Intercomparison Project (PMIP) since its inception, and thus many of the problems that might be associated with simulating such a radically different climate are well documented. The LGM state provides an ideal case study for evaluating climate model performance because the changes in forcing and temperature between the LGM and pre-industrial are of the same order of magnitude as those projected for the end of the 21st century. Thus, the CMIP6 LGM experiment could provide additional information that can be used to constrain estimates of climate sensitivity. The design of the Tier 1 LGM experiment (lgm) includes an assessment of uncertainties in boundary conditions, in particular through the use of different reconstructions of the ice sheets and of the change in dust forcing. Additional (Tier 2) sensitivity experiments have been designed to quantify feedbacks associated with land-surface changes and aerosol loadings, and to isolate the role of individual forcings. Model analysis and evaluation will capitalize on the relative abundance of paleoenvironmental observations and quantitative climate reconstructions already available for the LGM.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 10
    Publication Date: 2020-02-06
    Description: Two interglacial epochs are included in the suite of Paleoclimate Modeling Intercomparison Project (PMIP4) simulations in the Coupled Model Intercomparison Project (CMIP6). The experimental protocols for simulations of the mid-Holocene (midHolocene, 6000 years before present) and the Last Interglacial (lig127k, 127 000 years before present) are described here. These equilibrium simulations are designed to examine the impact of changes in orbital forcing at times when atmospheric greenhouse gas levels were similar to those of the preindustrial period and the continental configurations were almost identical to modern ones. These simulations test our understanding of the interplay between radiative forcing and atmospheric circulation, and the connections among large-scale and regional climate changes giving rise to phenomena such as land–sea contrast and high-latitude amplification in temperature changes, and responses of the monsoons, as compared to today. They also provide an opportunity, through carefully designed additional sensitivity experiments, to quantify the strength of atmosphere, ocean, cryosphere, and land-surface feedbacks. Sensitivity experiments are proposed to investigate the role of freshwater forcing in triggering abrupt climate changes within interglacial epochs. These feedback experiments naturally lead to a focus on climate evolution during interglacial periods, which will be examined through transient experiments. Analyses of the sensitivity simulations will also focus on interactions between extratropical and tropical circulation, and the relationship between changes in mean climate state and climate variability on annual to multi-decadal timescales. The comparative abundance of paleoenvironmental data and of quantitative climate reconstructions for the Holocene and Last Interglacial make these two epochs ideal candidates for systematic evaluation of model performance, and such comparisons will shed new light on the importance of external feedbacks (e.g., vegetation, dust) and the ability of state-of-the-art models to simulate climate changes realistically.
    Type: Article , PeerReviewed
    Format: text
    Format: archive
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