The PMIP4 contribution to CMIP6-Part 3: The last millennium, scientific objective, and experimental design for the PMIP4 past1000 simulations

被引:162
|
作者
Jungclaus, Johann H. [1 ]
Bard, Edouard [2 ]
Baroni, Melanie [2 ]
Braconnot, Pascale [3 ]
Cao, Jian [4 ]
Chini, Louise P. [5 ]
Egorova, Tania [6 ,7 ,40 ]
Evans, Michael [8 ,9 ]
Fidel Gonzalez-Rouco, J. [10 ]
Goosse, Hugues [11 ]
Hurtt, George C. [5 ]
Joos, Fortunat [12 ,13 ]
Kaplan, Jed O. [14 ]
Khodri, Myriam [15 ]
Goldewijk, Kees Klein [16 ,17 ]
Krivova, Natalie [18 ]
LeGrande, Allegra N. [19 ]
Lorenz, Stephan J. [1 ]
Luterbacher, Juerg [20 ,21 ]
Man, Wenmin [22 ]
Maycock, Amanda C. [23 ]
Meinshausen, Malte [24 ,25 ]
Moberg, Anders [26 ,27 ]
Muscheler, Raimund [28 ]
Nehrbass-Ahles, Christoph [12 ,13 ]
Otto-Bliesner, Bette I. [29 ]
Phipps, Steven J. [30 ]
Pongratz, Julia [1 ]
Rozanov, Eugene [6 ,7 ,40 ]
Schmidt, Gavin A. [19 ]
Schmidt, Hauke [1 ]
Schmutz, Werner [6 ,40 ]
Schurer, Andrew [31 ]
Shapiro, Alexander I. [18 ]
Sigl, Michael [32 ,33 ]
Smerdon, Jason E. [34 ]
Solanki, Sami K. [18 ]
Timmreck, Claudia [1 ]
Toohey, Matthew [35 ]
Usoskin, Ilya G. [36 ,37 ]
Wagner, Sebastian [38 ]
Wu, Chi-Ju [18 ]
Yeo, Kok Leng [18 ]
Zanchettin, Davide [39 ]
Zhang, Qiong [26 ,27 ]
Zorita, Eduardo [38 ]
机构
[1] Max Planck Inst Meteorol, Hamburg, Germany
[2] Aix Marseille Univ, CEREGE, CNRS, IRD,Coll France, Technopole Arbois, F-13545 Aix En Provence, France
[3] Univ Paris Saclay, CEA CNRS UVSQ, LSCE, IPSL, F-91191 Gif Sur Yvette, France
[4] Nanjing Univ Informat Sci & Technol, Earth Syst Modeling Ctr, Nanjing 210044, Jiangsu, Peoples R China
[5] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
[6] PMOD, Davos, Switzerland
[7] ETH, Inst Atmospher & Climate Sci, Zurich, Switzerland
[8] Univ Maryland, Dept Geol, College Pk, MD 20742 USA
[9] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA
[10] Univ Complutense Madrid, IGEO UCM CS, Dept Astrophys & Atmospher Sci, E-28040 Madrid, Spain
[11] Catholic Univ Louvain, ELI TECL, Louvain La Neuve, Belgium
[12] Univ Bern, Phys Inst, Climate & Environm Phys, Bern, Switzerland
[13] Univ Bern, Oeschger Ctr Climate Change Res, Bern, Switzerland
[14] Univ Lausanne, Inst Earth Surface Dynam, Lausanne, Switzerland
[15] Sorbonne Univ, UPMC Univ Paris 06, IPSL, Lab Oceanog Climate,UMR CNRS IRD MNHM, F-75005 Paris, France
[16] Univ Utrecht, Copemicus Inst Sustainable Dev, Utrecht, Netherlands
[17] PBL Netherlands Environm Assessment Agcy, The Hague, Netherlands
[18] Max Planck Inst Stromungsforsch, Gottingen, Germany
[19] NASA, Goddard Inst Space Studies, 2880 Broadway, New York, NY USA
[20] Justus Liebig Univ Giessen, Dept Geog Climatol Climate Dynam & Climate Change, Giessen, Germany
[21] Justus Liebig Univ Giessen, Ctr Int Dev & Environm Res, Giessen, Germany
[22] Chinese Acad Sci, LASG Inst Atmospher Phys, Beijing, Peoples R China
[23] Univ Leeds, Sch Earth & Environm, Leeds, W Yorkshire, England
[24] Univ Melbourne, Australian German Climate & Energy Coll, Melbourne, Vic, Australia
[25] Potsdam Inst Climate Impact Res, Potsdam, Germany
[26] Stockholm Univ, Dept Phys Geog, Stockholm, Sweden
[27] Stockholm Univ, Bolin Ctr Climate Res, Stockholm, Sweden
[28] Lund Univ, Dept Geol, Lund, Sweden
[29] Natl Ctr Atmospher Res, Boulder, CO 80305 USA
[30] Univ Tasmania, Inst Marine & Antarctic Studies, Hobart, Tas, Australia
[31] Univ Edinburgh, GeoSci, Edinburgh, Midlothian, Scotland
[32] Paul Scherrer Inst, Lab Environm Chem, CH-5232 Villigen, Switzerland
[33] Univ Bern, Oeschger Ctr Climate Change Res, CH-3012 Bern, Switzerland
[34] Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY USA
[35] GEOMAR Helmholtz Ctr Ocean Res Kiel, Kiel, Germany
[36] Univ Oulu, Space Climate Res Grp, Oulu, Finland
[37] Univ Oulu, Sodankyla Geophys Observ, Oulu, Finland
[38] Helmholtz Zentrum Geesthacht, Inst Coastal Res, Geesthacht, Germany
[39] Univ Venice, Dept Environm Sci Informat & Stat, Venice, Italy
[40] WRC, Davos, Switzerland
基金
瑞士国家科学基金会; 美国国家科学基金会; 芬兰科学院; 瑞典研究理事会; 澳大利亚研究理事会;
关键词
MODEL INTERCOMPARISON PROJECT; CLIMATE PROXY DATA; SCALE TEMPERATURE VARIABILITY; SOLAR SPECTRAL IRRADIANCE; SURFACE AIR-TEMPERATURE; ASIAN SUMMER MONSOON; CARBON CYCLE MODEL; VOLCANIC-ERUPTIONS; NORTH-ATLANTIC; STATISTICAL FRAMEWORK;
D O I
10.5194/gmd-10-4005-2017
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The pre-industrial millennium is among the periods selected by the Paleoclimate Model Intercomparison Project (PMIP) for experiments contributing to the sixth phase of the Coupled Model Intercomparison Project (CMIP6) and the fourth phase of the PMIP (PMIP4). The past1000 transient simulations serve to investigate the response to (mainly) natural forcing under background conditions not too different from today, and to discriminate between forced and internally generated variability on interannual to centennial timescales. This paper describes the motivation and the experimental set-ups for the PMIP4-CMIP6 past1000 simulations, and discusses the forcing agents orbital, solar, volcanic, and land use/land cover changes, and variations in greenhouse gas concentrations. The past1000 simulations covering the pre-industrial millennium from 850 Common Era (CE) to 1849 CE have to be complemented by historical simulations (1850 to 2014 CE) following the CMIP6 protocol. The external forcings for the past1000 experiments have been adapted to provide a seamless transition across these time periods. Protocols for the past1000 simulations have been divided into three tiers. A default forcing data set has been defined for the Tier 1 (the CMIP6 past1000) experiment. However, the PMIP community has maintained the flexibility to conduct coordinated sensitivity experiments to explore uncertainty in forcing reconstructions as well as parameter uncertainty in dedicated Tier 2 simulations. Additional experiments (Tier 3) are defined to foster collaborative model experiments focusing on the early instrumental period and to extend the temporal range and the scope of the simulations. This paper outlines current and future research foci and common analyses for collaborative work between the PMIP and the observational communities (reconstructions, instrumental data).
引用
收藏
页码:4005 / 4033
页数:29
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