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4. Sahel Droughts Induced by Large Volcanic Eruptions Over the Last Millennium in PMIP4/Past1000 Simulations

Author

Centre National de la Recherche Scientifique (France), European Commission, Centre National D'Etudes Spatiales (France), Federal Ministry of Education and Research (Germany), German Research Foundation, Villamayor, Julián [0000-0002-8844-7389], Khodri, M. [0000-0003-1941-1646], Fang, S. W. [0000-0003-3763-7753], Jungclaus, J. H. [0000-0002-3849-4339], Timmreck, C. [0000-0001-5355-0426], Zanchettin, D. [0000-0001-5929-6983], Villamayor, Julián, Khodri, M., Fang, S. W., Jungclaus, J. H., Timmreck, C., Zanchettin, D., Centre National de la Recherche Scientifique (France), European Commission, Centre National D'Etudes Spatiales (France), Federal Ministry of Education and Research (Germany), German Research Foundation, Villamayor, Julián [0000-0002-8844-7389], Khodri, M. [0000-0003-1941-1646], Fang, S. W. [0000-0003-3763-7753], Jungclaus, J. H. [0000-0002-3849-4339], Timmreck, C. [0000-0001-5355-0426], Zanchettin, D. [0000-0001-5929-6983], Villamayor, Julián, Khodri, M., Fang, S. W., Jungclaus, J. H., Timmreck, C., and Zanchettin, D.

Abstract

This work provides evidence of the influence of large volcanic eruptions on Sahel rainfall relying on PMIP4/past1000 multi-model simulations, covering the last millennium. A classification of volcanic eruptions in the last millennium according to the meridional symmetry of the associated radiative forcing reveals different mechanisms of the West African Monsoon response at inter-annual timescale. In all cases, these simulated changes result in Sahel drying up to 2 years after an eruption. Besides, we add evidence of a role of varying volcanic activity across the past millennium in the Sahel precipitation variability at multi-decadal to secular timescales.

Published
2023

7. Solar forcing and climate variability in the North Atlantic during the last millennium: comparison between models and reconstructions

Author

Servonnat, J., Khodri, M., Yiou, P., Guiot, J., Denvil, S., Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), and Institut de Recherche pour le Développement (IRD)

Subjects
[SDU]Sciences of the Universe [physics]
Abstract

International audience; Studying the climate of the last millennium allows replacing the present climate change in a long term context. Since it is a relatively well-documented period, it provides an interesting base to assess the secular variability of the climate, free of anthropogenic greenhouse gas influence. Considering this, the climate of the last millennium is likely to have been driven by natural forcings, such as major volcanic eruptions or solar variability. We present here the results of the simulations performed with the IPSLCM4v2 climate model for the French ANR ESCARSEL project (reconstruction of the climate of the last millennium). In order to understand the role of the solar variability during this period, we have forced the model with a reconstruction of the Total Solar Irradiance since 1000AD (Crowley et al., 2000). The results are compared with various reconstructions based on proxy data, from the hemispheric to the continental scale. A new reconstruction of the temperature in Europe since 600AD (annual April to September mean, based on tree rings data) has been achieved within the ESCARSEL project. This dataset provides the possibility to compare the spatial response of the model to the solar forcing with the corresponding temperature patterns recorded in the proxys. As a first step we present the results on the long term variability, before focusing on selected periods to assess the spatial behaviour of the model to different value of the total solar irradiance. Crowley et al. 2000, Causes of climate change over the past 1000yrs, Science 289, 270

Published
2023

11. A major advance of tropical Andean glaciers during the Antarctic cold reversal

Author

Jomelli, V., Favier, V., Vuille, M., Braucher, R., Martin, L., Blard, P.-H., Colose, C., Brunstein, D., He, F., Khodri, M., Bourles, D.L., Leanni, L., Rinterknecht, V., Francou, D. Grancher B., Ceballos, J.L., Fonseca, H., Liu, Z., and Otto-Bliesner, B.L.

Subjects
Research, Environmental aspects, Glaciers -- Environmental aspects -- Research, Precipitation (Meteorology) -- Research, Antarctic Oscillation -- Environmental aspects -- Research
Abstract

The general warming trend during deglaciation was interrupted by cooler conditions in the Southern Hemisphere during the Atlantic cold reversal (ACR). Conversely, temperature records from Greenland reveal warm conditions during [...], The Younger Dryas stadial, a cold event spanning 12,800 to 11,500 years ago, during the last deglaciation, is thought to coincide with the last major glacial re-advance in the tropical Andes (1). This interpretation relies mainly on cosmic-ray exposure dating of glacial deposits. Recent studies, however, have established new production rates (2-4) for cosmogenic [sup.10]Be and ³He, which make it necessary to update all chronologies in this region (1,5-15) and revise our understanding of cryospheric responses to climate variability. Here we present a new [sup.10]Be moraine chronology in Colombia showing that glaciers in the northern tropical Andes expanded to a larger extent during the Antarctic cold reversal (14,500 to 12,900 years ago) than during the Younger Dryas. On the basis of a homogenized chronology of all [sup.10]Be and ³He moraine ages across the tropical Andes, we show that this behaviour was common to the northern and southern tropical Andes. Transient simulations with a coupled global climate model suggest that the common glacier behaviour was the result of Atlantic meridional overturning circulation variability superimposed on a deglacial increase in the atmospheric carbon dioxide concentration. During the Antarctic cold reversal, glaciers advanced primarily in response to cold sea surface temperatures over much of the Southern Hemisphere. During the Younger Dryas, however, northern tropical Andes glaciers retreated owing to abrupt regional warming in response to reduced precipitation and land-surface feedbacks triggered by a weakened Atlantic meridional overturning circulation. Conversely, glacier retreat during the Younger Dryas in the southern tropical Andes occurred as a result of progressive warming, probably influenced by an increase in atmospheric carbon dioxide. Considered with evidence from mid-latitude Andean glaciers (16), our results argue for a common glacier response to cold conditions in the Antarctic cold reversal exceeding that of the Younger Dryas.

Published
2014

15. Decadal climate variability in the tropical Pacific: Characteristics, causes, predictability, and prospects.

Author

Power, S, Lengaigne, M, Capotondi, A, Khodri, M, Vialard, J, Jebri, B, Guilyardi, E, McGregor, S, Kug, J-S, Newman, M, McPhaden, MJ, Meehl, G, Smith, D, Cole, J, Emile-Geay, J, Vimont, D, Wittenberg, AT, Collins, M, Kim, G-I, Cai, W, Okumura, Y, Chung, C, Cobb, KM, Delage, F, Planton, YY, Levine, A, Zhu, F, Sprintall, J, Di Lorenzo, E, Zhang, X, Luo, J-J, Lin, X, Balmaseda, M, Wang, G, Henley, BJ, Power, S, Lengaigne, M, Capotondi, A, Khodri, M, Vialard, J, Jebri, B, Guilyardi, E, McGregor, S, Kug, J-S, Newman, M, McPhaden, MJ, Meehl, G, Smith, D, Cole, J, Emile-Geay, J, Vimont, D, Wittenberg, AT, Collins, M, Kim, G-I, Cai, W, Okumura, Y, Chung, C, Cobb, KM, Delage, F, Planton, YY, Levine, A, Zhu, F, Sprintall, J, Di Lorenzo, E, Zhang, X, Luo, J-J, Lin, X, Balmaseda, M, Wang, G, and Henley, BJ

Abstract

Climate variability in the tropical Pacific affects global climate on a wide range of time scales. On interannual time scales, the tropical Pacific is home to the El Niño–Southern Oscillation (ENSO). Decadal variations and changes in the tropical Pacific, referred to here collectively as tropical Pacific decadal variability (TPDV), also profoundly affect the climate system. Here, we use TPDV to refer to any form of decadal climate variability or change that occurs in the atmosphere, the ocean, and over land within the tropical Pacific. “Decadal,” which we use in a broad sense to encompass multiyear through multidecadal time scales, includes variability about the mean state on decadal time scales, externally forced mean-state changes that unfold on decadal time scales, and decadal variations in the behavior of higher-frequency modes like ENSO.

Published
2021

21. Gestion des changements morphologiques lors des traitements avec modulation d’intensité pour les cancers du sein sur Halcyon™ guidés par l’imagerie conique quotidienne de basse ou de haute énergie

Author

Yossi, S., primary, Nguyen, D., additional, Khodri, M., additional, Lorchel, F., additional, Bernard, V., additional, Portier, N., additional, Marchand, V., additional, Lamberth, F., additional, Cervellera, M., additional, Mammar, V., additional, Coquard, R., additional, and Barbet, N., additional

Published
2019
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24. The PMIP4 contribution to CMIP6 – Part 3: The last millennium, scientific objective, and experimental design for the PMIP4 past1000 simulations

Author

Jungclaus, J. H., Bard, E., Baroni, M., Braconnot, P., Cao, J., Chini, L. P., Egorova, T., Evans, M., González-Rouco, J. F., Goosse, H., Hurtt, G. C., Joos, F., Kaplan, J. O., Khodri, M., Klein Goldewijk, K., Krivova, N., LeGrande, A. N., Lorenz, S. J., Luterbacher, J., Man, W., Maycock, A. C., Meinshausen, M., Moberg, A., Muscheler, R., Nehrbass-Ahles, C., Otto-Bliesner, B. I., Phipps, S. J., Pongratz, J., Rozanov, E., Schmidt, G. A., Schmidt, H., Schmutz, W., Schurer, A., Shapiro, A. I., Sigl, M., Smerdon, J. E., Solanki, S. K., Timmreck, C., Toohey, M., Usoskin, I. G., Wagner, S., Wu, C.-J., Yeo, K. L., Zanchettin, D., Zhang, Q., and Zorita, E.

Subjects
lcsh:Geology, lcsh:QE1-996.5
Abstract

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).

Published
2017

25. The PMIP4 contribution to CMIP6 – Part 3: the Last Millennium, Scientific Objective and Experimental Design for the PMIP4 past1000 simulations

Author

Jungclaus, J., https://orcid.org/0000-0002-3849-4339, Bard, E., Baroni, M., Braconnot, P., Cao, J., Chini, L., Egorova, T., Evans, M., González-Rouco, J., Goosse, H., Hurtt, G., Joos, F., Kaplan, J., Khodri, M., Klein Goldewijk, K., Krivova, N., LeGrande, A., Lorenz, S., Luterbacher, J., Man, W., Meinshausen, M., Moberg, A., Nehrbass-Ahles, C., Otto-Bliesner, B., Phipps, S., Pongratz, J., https://orcid.org/0000-0003-0372-3960, Rozanov, E., Schmidt, G., Schmidt, H., https://orcid.org/0000-0001-7977-5041, Schmutz, W., Schurer, A., Shapiro, A., Sigl, M., Smerdon, J., Solanki, S., Timmreck, C., Toohey, M., Usoskin, I., Wagner, S., Wu, C., Yeo, K., Zanchettin, D., Zhang, Q., and Zorita, E.

Abstract

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).

Published
2017
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30. The PMIP4 contribution to CMIP6 – Part 3: The last millennium,scientific objective, and experimental design for the PMIP4 past1000 simulations

Author

Jungclaus, J, Bard, E, Baroni, M, Braconnot, P, Cao, J, Chini, LP, Egorova, T, Evans, M, González-Rouco, JF, Goosse, H, Hurtt, GC, Joos, F, Kaplan, JO, Khodri, M, Goldewijk, KK, Krivova, N, LeGrande, AN, Lorenz, SJ, Luterbacher, J, Man, W, Maycock, AC, Meinshausen, M, Moberg, A, Muscheler, R, Nehrbass-Ahles, C, Otto-Bliesner, BI, Phipps, SJ, Pongratz, J, Rozanov, E, Schmidt, GA, Schmidt, H, Schmutz, W, Schurer, A, Shapiro, AI, Sigl, M, Smerdon, JE, Solanki, SK, Timmreck, C, Toohey, M, Usoskin, IG, Wagner, S, Wu, C-J, Yeo, KL, Zanchettin, D, Zhang, Q, Zorita, E, UCL - SST/ELI/ELIC - Earth & Climate, Max-Planck-Institut für Meteorologie (MPI-M), Max-Planck-Gesellschaft, Collège de France - Chaire Evolution du climat et de l'océan, Centre européen de recherche et d'enseignement des géosciences de l'environnement (CEREGE), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Modelling the Earth Response to Multiple Anthropogenic Interactions and Dynamics (MERMAID), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Department of Computer Science and Engineering [Shanghai] (CSE), Shanghai Jiao Tong University [Shanghai], Department of Geographical Sciences, University of Maryland [College Park], University of Maryland System-University of Maryland System, Institute for Atmospheric and Climate Science [Zürich] (IAC), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), University of Maryland System, Instituto de Geociencias [Madrid] (IGEO), Universidad Complutense de Madrid = Complutense University of Madrid [Madrid] (UCM)-Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Université Catholique de Louvain = Catholic University of Louvain (UCL), Climate and Environmental Physics [Bern] (CEP), Physikalisches Institut [Bern], Universität Bern [Bern] (UNIBE)-Universität Bern [Bern] (UNIBE), Université de Lausanne = University of Lausanne (UNIL), Processus de la variabilité climatique tropicale et impacts (PARVATI), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), PBL Netherlands Environmental Assessment Agency, Max-Planck-Institut für Sonnensystemforschung = Max Planck Institute for Solar System Research (MPS), NASA Goddard Space Flight Center (GSFC), Department of Geography, Justus-Liebig- University, Justus-Liebig-Universität Gießen = Justus Liebig University (JLU), Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics [Beijing] (IAP), Chinese Academy of Sciences [Beijing] (CAS)-Chinese Academy of Sciences [Beijing] (CAS), University of Leeds, Potsdam Institute for Climate Impact Research (PIK), Bolin Centre for Climate Research, Stockholm University, Department of Geology [Lund], Lund University [Lund], National Center for Atmospheric Research [Boulder] (NCAR), University of New South Wales [Sydney] (UNSW), Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science, NASA Goddard Institute for Space Studies (GISS), Max Planck Institute for Meteorology (MPI-M), Physikalisch-Meteorologisches Observatorium Davos/World Radiation Center (PMOD/WRC), School of Geosciences [Edinburgh], University of Edinburgh, School of Industrial and Systems Engineering [Georgia Tech] (ISyE), Georgia Institute of Technology [Atlanta], Laboratory of Radio- and Environmental Chemistry [Villigen], Paul Scherrer Institute (PSI), Lamont-Doherty Earth Observatory (LDEO), Columbia University [New York], Leibniz-Institut für Meereswissenschaften (IFM-GEOMAR), University of Oulu, Eurecom [Sophia Antipolis], Department of Environmental Sciences, Informatics and Statistics [Venezia], University of Ca’ Foscari [Venice, Italy], Department of Physical Geography [Stockholm], Helmholtz-Zentrum Geesthacht (GKSS), European Project: 603557,EC:FP7:ENV,FP7-ENV-2013-two-stage,STRATOCLIM(2013), Chaire Evolution du climat et de l'océan, Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Universität Bern [Bern]-Universität Bern [Bern], Université de Lausanne (UNIL), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Max-Planck-Institut für Sonnensystemforschung (MPS), Justus-Liebig-Universität Gießen (JLU), Carnegie Institution for Science [Washington], Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Collège de France (CdF)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Institut National de la Recherche Agronomique (INRA), Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology in Zürich [Zürich] (ETH Zürich), Universidad Complutense de Madrid [Madrid] (UCM)-Consejo Superior de Investigaciones Científicas [Spain] (CSIC), Université Catholique de Louvain (UCL), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN), Department of Global Ecology [Carnegie Institution], Consejo Superior de Investigaciones Científicas [Spain] (CSIC)-Universidad Complutense de Madrid [Madrid] (UCM), Environmental Sciences, Sub Gen. Pharmacoepi and Clinical Pharm, and SGPL Stadsgeografie

Subjects
Paleoclimate, 530 Physics, Natural forcing, Settore GEO/12 - Oceanografia e Fisica dell'Atmosfera, 610 Medicine & health, natural forcing, [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, last millennium, 550 Earth sciences & geology, Climate and Earth system modelling, CMIP6, PMIP, Last millennium, CISM [CECI], MIP6, PMIP4
Abstract

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)., Geoscientific Model Development, 10 (11), ISSN:1991-9603, ISSN:1991-959X

Published
2017
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33. The PMIP4 contribution to CMIP6 - Part 3: The last millennium, scientific objective, and experimental design for the PMIP4 past1000 simulations

Author

Environmental Sciences, Sub Gen. Pharmacoepi and Clinical Pharm, SGPL Stadsgeografie, Jungclaus, J. H., Bard, E., Baroni, M., Braconnot, P., Cao, J., Chini, L. P., Egorova, T., Evans, M., González-Rouco, J. F., Goosse, H., Hurtt, G. C., Joos, F., Kaplan, J. O., Khodri, M., Klein Goldewijk, K., Krivova, N., LeGrande, A. N., Lorenz, S. J., Luterbacher, J., Man, W., Maycock, Amanda C., Meinshausen, M., Moberg, A., Muscheler, Raimund, Nehrbass-Ahles, C., Otto-Bliesner, B. I., Phipps, S. J., Pongratz, J., Rozanov, E., Schmidt, G. A., Schmidt, H., Schmutz, W., Schurer, A., Shapiro, A. I., Sigl, M., Smerdon, J. E., Solanki, S. K., Timmreck, C., Toohey, M., Usoskin, I. G., Wagner, S., Wu, C.-Y., Yeo, K. L., Zanchettin, D., Zhang, Q., Zorita, E., Environmental Sciences, Sub Gen. Pharmacoepi and Clinical Pharm, SGPL Stadsgeografie, Jungclaus, J. H., Bard, E., Baroni, M., Braconnot, P., Cao, J., Chini, L. P., Egorova, T., Evans, M., González-Rouco, J. F., Goosse, H., Hurtt, G. C., Joos, F., Kaplan, J. O., Khodri, M., Klein Goldewijk, K., Krivova, N., LeGrande, A. N., Lorenz, S. J., Luterbacher, J., Man, W., Maycock, Amanda C., Meinshausen, M., Moberg, A., Muscheler, Raimund, Nehrbass-Ahles, C., Otto-Bliesner, B. I., Phipps, S. J., Pongratz, J., Rozanov, E., Schmidt, G. A., Schmidt, H., Schmutz, W., Schurer, A., Shapiro, A. I., Sigl, M., Smerdon, J. E., Solanki, S. K., Timmreck, C., Toohey, M., Usoskin, I. G., Wagner, S., Wu, C.-Y., Yeo, K. L., Zanchettin, D., Zhang, Q., and Zorita, E.

Published
2017

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

Author

Jungclaus, J. H. (Johann H.), Bard, E. (Edouard), Baroni, M. (Melanie), Braconnot, P. (Pascale), Cao, J. (Jian), Chini, L. P. (Louise P.), Egorova, T. (Tania), Evans, M. (Michael), Fidel Gonzalez-Rouco, J. (J.), Goosse, H. (Hugues), Hurtt, G. C. (George C.), Joos, F. (Fortunat), Kaplan, J. O. (Jed O.), Khodri, M. (Myriam), Goldewijk, K. K. (Kees Klein), Krivova, N. (Natalie), LeGrande, A. N. (Allegra N.), Lorenz, S. J. (Stephan J.), Luterbacher, J. (Juerg), Man, W. (Wenmin), Maycock, A. C. (Amanda C.), Meinshausen, M. (Malte), Moberg, A. (Anders), Muscheler, R. (Raimund), Nehrbass-Ahles, C. (Christoph), Otto-Bliesner, B. I. (Bette I.), Phipps, S. J. (Steven J.), Pongratz, J. (Julia), Rozanov, E. (Eugene), Schmidt, G. A. (Gavin A.), Schmidt, H. (Hauke), Schmutz, W. (Werner), Schurer, A. (Andrew), Shapiro, A. I. (Alexander I.), Sigl, M. (Michael), Smerdon, J. E. (Jason E.), Solanki, S. K. (Sami K.), Timmreck, C. (Claudia), Toohey, M. (Matthew), Usoskin, I. G. (Ilya G.), Wagner, S. (Sebastian), Wu, C.-J. (Chi-Ju), Yeo, K. L. (Kok Leng), Zanchettin, D. (Davide), Zhang, Q. (Qiong), Zorita, E. (Eduardo), Jungclaus, J. H. (Johann H.), Bard, E. (Edouard), Baroni, M. (Melanie), Braconnot, P. (Pascale), Cao, J. (Jian), Chini, L. P. (Louise P.), Egorova, T. (Tania), Evans, M. (Michael), Fidel Gonzalez-Rouco, J. (J.), Goosse, H. (Hugues), Hurtt, G. C. (George C.), Joos, F. (Fortunat), Kaplan, J. O. (Jed O.), Khodri, M. (Myriam), Goldewijk, K. K. (Kees Klein), Krivova, N. (Natalie), LeGrande, A. N. (Allegra N.), Lorenz, S. J. (Stephan J.), Luterbacher, J. (Juerg), Man, W. (Wenmin), Maycock, A. C. (Amanda C.), Meinshausen, M. (Malte), Moberg, A. (Anders), Muscheler, R. (Raimund), Nehrbass-Ahles, C. (Christoph), Otto-Bliesner, B. I. (Bette I.), Phipps, S. J. (Steven J.), Pongratz, J. (Julia), Rozanov, E. (Eugene), Schmidt, G. A. (Gavin A.), Schmidt, H. (Hauke), Schmutz, W. (Werner), Schurer, A. (Andrew), Shapiro, A. I. (Alexander I.), Sigl, M. (Michael), Smerdon, J. E. (Jason E.), Solanki, S. K. (Sami K.), Timmreck, C. (Claudia), Toohey, M. (Matthew), Usoskin, I. G. (Ilya G.), Wagner, S. (Sebastian), Wu, C.-J. (Chi-Ju), Yeo, K. L. (Kok Leng), Zanchettin, D. (Davide), Zhang, Q. (Qiong), and Zorita, E. (Eduardo)

Abstract

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).

Published
2017

43. Influence of solar variability, CO2 and orbital forcing between 1000 and 1850 AD in the IPSLCM4 model

Author

Servonnat, J., Yiou, P., Khodri, M., Swingedouw, D., Denvil, S., Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Extrèmes : Statistiques, Impacts et Régionalisation (ESTIMR), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), and Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)

Subjects
lcsh:GE1-350, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, lcsh:Environmental pollution, lcsh:Environmental protection, lcsh:TD172-193.5, lcsh:TD169-171.8, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, lcsh:Environmental sciences
Abstract

Studying the climate of the last millennium gives the possibility to deal with a relatively well-documented climate essentially driven by natural forcings. We have performed two simulations with the IPSLCM4 climate model to evaluate the impact of Total Solar Irradiance (TSI), CO2 and orbital forcing on secular temperature variability during the preindustrial part of the last millennium. The Northern Hemisphere (NH) temperature of the simulation reproduces the amplitude of the NH temperature reconstructions over the last millennium. Using a linear statistical decomposition we evaluated that TSI and CO2 have similar contributions to secular temperature variability between 1425 and 1850 AD. They generate a temperature minimum comparable to the Little Ice Age shown by the temperature reconstructions. Solar forcing explains ~80% of the NH temperature variability during the first part of the millennium (1000–1425 AD) including the Medieval Climate Anomaly (MCA). It is responsible for a warm period which occurs two centuries later than in the reconstructions. This mismatch implies that the secular variability during the MCA is not fully explained by the response of the model to the TSI reconstruction. With a signal-noise ratio (SNR) estimate we found that the temperature signal of the forced simulation is significantly different from internal variability over area wider than ~5.106 km2, i.e. approximately the extent of Europe. Orbital forcing plays a significant role in latitudes higher than 65° N in summer and supports the conclusions of a recent study on an Arctic temperature reconstruction over past two millennia. The forced variability represents at least half of the temperature signal on only ~30% of the surface of the globe. This study suggests that regional reconstructions of the temperature between 1000 and 1850 AD are likely to show weak signatures of solar, CO2 and orbital forcings compared to internal variability.

Published
2010
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44. Palaeoclimate

Author

Jansen, Eystein, Overpeck, Jonathan, Briffa, Keith R., Duplessy, Jean-Claude, Joos, Fortunat, Masson-Delmotte, Valérie, Olago, Daniel, Otto-Bliesner, Bette, Peltier, W. Richard, Rahmstorf, Stefan, Ramesh, Rengaswamy, Raynaud, Dominique, Rind, David, Solomina, Olga, Villalba, Ricardo, Zhang, De’er, Barnola, J.-M., Bauer, E., Brady, E., Chandler, M., Cole, J., Cook, E., Cortijo, E., Dokken, T., Fleitmann, D., Kageyama, M., Khodri, M., Labeyrie, L., Laine, A., Levermann, A., Lie, Ø., Loutre, M.-F., Matsumoto, K., Monnin, E., Mosley-Thompson, E., Muhs, D., Muscheler, R., Osborn, T., Paasche, Ø., Parrenin, F., Plattner, G.-K., Pollack, H., Spahni, R., Stott, L.D., Thompson, L., Waelbroeck, C., Wiles, G., Zachos, J., Zhengteng, G., Jouzel, Jean, Mitchell, John, Solomon, S, Qin, D, Manning, M, Chen, Z, Marquis, M, Averyt, K, Tignor, M, Miller, H, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Paléocéanographie (PALEOCEAN), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), and Glaces et Continents, Climats et Isotopes Stables (GLACCIOS)

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2007

45. Sensitivity of Northern Hemispheric continental ice sheets to tropical SST during deglaciation

Author

Rodgers, K. B., Charbit, S., Kageyama, M., Philippon, G., Ramstein, G., Ritz, C., Yin, J. H., Gerrit Lohmann, Lorenz, S. J., Khodri, M., Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Modélisation du climat (CLIM), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Laboratoire de glaciologie et géophysique de l'environnement (LGGE), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), NOAA-CIRES Climate Diagnostics Center, Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA)-University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA), Center for Marine Environmental Sciences [Bremen] (MARUM), Universität Bremen, Max-Planck-Institut für Meteorologie (MPI-M), Max-Planck-Gesellschaft, Lamont-Doherty Earth Observatory (LDEO), Columbia University [New York], Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Observatoire des Sciences de l'Univers de Grenoble (OSUG), and Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment
Abstract

International audience; A thermomechanical ice sheet model (ISM) is used to investigate the sensitivity of the Laurentide and Fennoscandian ice sheets to tropical sea surface temperature (SST) perturbations during deglaciation. The ISM is driven by surface temperature and precipitation fields from three different atmospheric general circulation models (AGCMs). For each AGCM, the responses in temperature and precipitation over the ice sheets nearly compensate, such that ice sheet mass balance is not strongly sensitive to tropical SST boundary conditions. It was also found that there is significant variation in the response of the ISM to the different AGCM output fields.

Published
2004
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47. Hydroclimate variability of the northwestern Amazon Basin near the Andean foothills of Peru related to the South American Monsoon System during the last 1600 years

Author

Apaéstegui, J., primary, Cruz, F. W., additional, Sifeddine, A., additional, Vuille, M., additional, Espinoza, J. C., additional, Guyot, J. L., additional, Khodri, M., additional, Strikis, N., additional, Santos, R. V., additional, Cheng, H., additional, Edwards, L., additional, Carvalho, E., additional, and Santini, W., additional

Published
2014
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