11 results on '"Baroni, Mélanie"'
Search Results
2. Snowfall and Water Stable Isotope Variability in East Antarctica Controlled by Warm Synoptic Events
- Author
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Servettaz, Aymeric P. M., Orsi, Anais J., Curran, Mark A. J., Moy, Andrew D., Landais, Amaelle, Agosta, Cécile, Winton, V. Holly L., Touzeau, Alexandra, McConnell, Joseph R., Werner, Martin, Baroni, Mélanie, Servettaz, Aymeric P. M., Orsi, Anais J., Curran, Mark A. J., Moy, Andrew D., Landais, Amaelle, Agosta, Cécile, Winton, V. Holly L., Touzeau, Alexandra, McConnell, Joseph R., Werner, Martin, and Baroni, Mélanie
- Abstract
Understanding climate proxy records that preserve physical characteristics of past climate is a prerequisite to reconstruct long‐term climatic conditions. Water stable isotope ratios (δ18O) constitute a widely used proxy in ice cores to reconstruct temperature and climate. However, the original climate signal is altered between the formation of precipitation and the ice, especially in low‐accumulation areas such as the East Antarctic Plateau. Atmospheric conditions under which the isotopic signal is acquired at Aurora Basin North (ABN), East Antarctica, are characterized with the regional atmospheric model Modèle Atmosphérique Régional (MAR). The model shows that 50% of the snow is accumulated in less than 24 days/year. Snowfall occurs throughout the year and intensifies during winter, with 64% of total accumulation between April and September, leading to a cold bias of −0.86°C in temperatures above inversion compared to the annual mean of −29.7°C. Large snowfall events are associated with high‐pressure systems forcing warm oceanic air masses toward the Antarctic interior, which causes a warm bias of +2.83°C. The temperature‐δ18O relationship, assessed with the global atmospheric model ECHAM5‐wiso, is primarily constrained by the winter variability, but the observed slope is valid year‐round. Three snow δ18O records covering 2004–2014 indicate that the anomalies recorded in the ice core are attributable to the occurrence of warm winter storms bringing precipitation to ABN and support the interpretation of δ18O in this region as a marker of temperature changes related to large‐scale atmospheric conditions, particularly blocking events and variations in the Southern Annular Mode.
- Published
- 2020
3. Holocene dust in East Antarctica: provenance and variability in time and space
- Author
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Delmonte, Barbara, Winton, Holly, Baroni, Mélanie, Baccolo, Giovanni, Hansson, Margareta, Andersson, Per, Baroni, Carlo, Salvatore, Maria Cristina, Lanci, Luca, Maggi, Valter, Delmonte, Barbara, Winton, Holly, Baroni, Mélanie, Baccolo, Giovanni, Hansson, Margareta, Andersson, Per, Baroni, Carlo, Salvatore, Maria Cristina, Lanci, Luca, and Maggi, Valter
- Abstract
In this paper, we provide a comprehensive overview of the state-of-knowledge of dust flux and variability in time and space in different sectors of East Antarctica during the Holocene. By integrating the literature data with new evidences, we discuss the dust flux and grain-size variability during the current interglacial and its provenance in the innermost part of the East Antarctic plateau as well as in peripheral regions located close to the Transantarctic Mountains. The local importance of aeolian mineral dust aerosol deflated from low-elevation areas of peripheral East Antarctica is also discussed in the light of new data from several coastal, low-elevation sites.
- Published
- 2020
4. Mass-Independent Sulfur Isotopic Compositions in Stratospheric Volcanic Eruptions
- Author
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Baroni, Mélanie, Thiemens, Mark H., Delmas, Robert J., and Savarino, Joël
- Published
- 2007
5. The PMIP4 contribution to CMIP6 – Part 3: The last millennium, scientific objective, and experimental design for the PMIP4 <i>past1000</i> simulations
- Author
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Jungclaus, Johann H., primary, Bard, Edouard, additional, Baroni, Mélanie, additional, Braconnot, Pascale, additional, Cao, Jian, additional, Chini, Louise P., additional, Egorova, Tania, additional, Evans, Michael, additional, González-Rouco, J. Fidel, additional, Goosse, Hugues, additional, Hurtt, George C., additional, Joos, Fortunat, additional, Kaplan, Jed O., additional, Khodri, Myriam, additional, Klein Goldewijk, Kees, additional, Krivova, Natalie, additional, LeGrande, Allegra N., additional, Lorenz, Stephan J., additional, Luterbacher, Jürg, additional, Man, Wenmin, additional, Maycock, Amanda C., additional, Meinshausen, Malte, additional, Moberg, Anders, additional, Muscheler, Raimund, additional, Nehrbass-Ahles, Christoph, additional, Otto-Bliesner, Bette I., additional, Phipps, Steven J., additional, Pongratz, Julia, additional, Rozanov, Eugene, additional, Schmidt, Gavin A., additional, Schmidt, Hauke, additional, Schmutz, Werner, additional, Schurer, Andrew, additional, Shapiro, Alexander I., additional, Sigl, Michael, additional, Smerdon, Jason E., additional, Solanki, Sami K., additional, Timmreck, Claudia, additional, Toohey, Matthew, additional, Usoskin, Ilya G., additional, Wagner, Sebastian, additional, Wu, Chi-Ju, additional, Yeo, Kok Leng, additional, Zanchettin, Davide, additional, Zhang, Qiong, additional, and Zorita, Eduardo, additional
- Published
- 2017
- Full Text
- View/download PDF
6. The PMIP4 contribution to CMIP6-Part 3 : The last millennium, scientific objective, and experimental design for the PMIP4 past1000 simulations
- Author
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Jungclaus, Johann H., Bard, Edouard, Baroni, Mélanie, Braconnot, Pascale, Cao, Jian, Chini, Louise P., Egorova, Tania, Evans, Michael, González-Rouco, J. Fidel, Goosse, Hugues, Hurtt, George C., Joos, Fortunat, Kaplan, Jed O., Khodri, Myriam, Goldewijk, Kees Klein, Krivova, Natalie, LeGrande, Allegra N., Lorenz, Stephan J., Luterbacher, Jürg, Man, Wenmin, Maycock, Amanda C., Meinshausen, Malte, Moberg, Anders, Muscheler, Raimund, Nehrbass-Ahles, Christoph, Otto-Bliesner, Bette I., Phipps, Steven J., Pongratz, Julia, Rozanov, Eugene, Schmidt, Gavin A., Schmidt, Hauke, Schmutz, Werner, Schurer, Andrew, Shapiro, Alexander I., Sigl, Michael, Smerdon, Jason E., Solanki, Sami K., Timmreck, Claudia, Toohey, Matthew, Usoskin, Ilya G., Wagner, Sebastian, Wu, Chi-Ju, Yeo, Kok Leng, Zanchettin, Davide, Zhang, Qiong, Zorita, Eduardo, Jungclaus, Johann H., Bard, Edouard, Baroni, Mélanie, Braconnot, Pascale, Cao, Jian, Chini, Louise P., Egorova, Tania, Evans, Michael, González-Rouco, J. Fidel, Goosse, Hugues, Hurtt, George C., Joos, Fortunat, Kaplan, Jed O., Khodri, Myriam, Goldewijk, Kees Klein, Krivova, Natalie, LeGrande, Allegra N., Lorenz, Stephan J., Luterbacher, Jürg, Man, Wenmin, Maycock, Amanda C., Meinshausen, Malte, Moberg, Anders, Muscheler, Raimund, Nehrbass-Ahles, Christoph, Otto-Bliesner, Bette I., Phipps, Steven J., Pongratz, Julia, Rozanov, Eugene, Schmidt, Gavin A., Schmidt, Hauke, Schmutz, Werner, Schurer, Andrew, Shapiro, Alexander I., Sigl, Michael, Smerdon, Jason E., Solanki, Sami K., Timmreck, Claudia, Toohey, Matthew, Usoskin, Ilya G., Wagner, Sebastian, Wu, Chi-Ju, Yeo, Kok Leng, Zanchettin, Davide, Zhang, Qiong, and Zorita, 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
- Full Text
- View/download PDF
7. The PMIP4 contribution to CMIP6 – Part 3: The last millennium,scientific objective, and experimental design for the PMIP4 past1000 simulations
- Author
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UCL - SST/ELI/ELIC - Earth & Climate, Jungclaus, Johann H., Bard, Edouard, Baroni, Mélanie, Braconnot, Pascale, Cao, Jian, Chini, Louise P., Egorova, Tania, Evans, Michael, González-Rouco, J. Fidel, Goosse, Hugues, Hurtt, George C., Joos, Fortunat, Kaplan, Jed O., Khodri, Myriam, Klein Goldewijk, Kees, Krivova, Natalie, LeGrande, Allegra N., Lorenz, Stephan J., Luterbacher, Jürg, Man, Wenmin, Maycock, Amanda C., Meinshausen, Malte, Moberg, Anders, Muscheler, Raimund, Nehrbass-Ahles, Christoph, Otto-Bliesner, Bette I., Phipps, Steven J., Pongratz, Julia, Rozanov, Eugene, Schmidt, Gavin A., Schmidt, Hauke, Schmutz, Werner, Schurer, Andrew, Shapiro, Alexander I., Sigl, Michael, Smerdon, Jason E., Solanki, Sami K., Timmreck, Claudia, Toohey, Matthew, Usoskin, Ilya G., Wagner, Sebastian, Wu, Chi-Ju, Yeo, Kok Leng, Zanchettin, Davide, Zhang, Qiong, Zorita, Eduardo, UCL - SST/ELI/ELIC - Earth & Climate, Jungclaus, Johann H., Bard, Edouard, Baroni, Mélanie, Braconnot, Pascale, Cao, Jian, Chini, Louise P., Egorova, Tania, Evans, Michael, González-Rouco, J. Fidel, Goosse, Hugues, Hurtt, George C., Joos, Fortunat, Kaplan, Jed O., Khodri, Myriam, Klein Goldewijk, Kees, Krivova, Natalie, LeGrande, Allegra N., Lorenz, Stephan J., Luterbacher, Jürg, Man, Wenmin, Maycock, Amanda C., Meinshausen, Malte, Moberg, Anders, Muscheler, Raimund, Nehrbass-Ahles, Christoph, Otto-Bliesner, Bette I., Phipps, Steven J., Pongratz, Julia, Rozanov, Eugene, Schmidt, Gavin A., Schmidt, Hauke, Schmutz, Werner, Schurer, Andrew, Shapiro, Alexander I., Sigl, Michael, Smerdon, Jason E., Solanki, Sami K., Timmreck, Claudia, Toohey, Matthew, Usoskin, Ilya G., Wagner, Sebastian, Wu, Chi-Ju, Yeo, Kok Leng, Zanchettin, Davide, Zhang, Qiong, and Zorita, 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
8. Acquisition of isotopic composition for surface snow in East Antarctica and the links to climatic parameters
- Author
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Touzeau, Alexandra, primary, Landais, Amaëlle, additional, Stenni, Barbara, additional, Uemura, Ryu, additional, Fukui, Kotaro, additional, Fujita, Shuji, additional, Guilbaud, Sarah, additional, Ekaykin, Alexey, additional, Casado, Mathieu, additional, Barkan, Eugeni, additional, Luz, Boaz, additional, Magand, Olivier, additional, Teste, Grégory, additional, Le Meur, Emmanuel, additional, Baroni, Mélanie, additional, Savarino, Joël, additional, Bourgeois, Ilann, additional, and Risi, Camille, additional
- Published
- 2016
- Full Text
- View/download PDF
9. End of the fourth International Polar Year
- Author
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Baroni, Mélanie and Ménot, Guillemette
- Abstract
The fourth International Polar Year (IPY) officially came to an end on 14 and 15 May 2009 with a symposium organized jointly by the Collège de France and OPECST (the French parliamentary committee for the evaluation of scientific and technological choices). Many scientists and political actors, invited by Professor Édouard Bard and Senator Christian Gaudin, emphasized the success of the IPY, including the creation of at least 200 international multidisciplinary research projects, entirely dev...
- Published
- 2010
10. The PMIP4 contribution to CMIP6 - Part 3: the Last Millennium, Scientific Objective and Experimental Design for the PMIP4 past1000 simulations.
- Author
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Jungclaus, Johann H., Bard, Edouard, Baroni, Mélanie, Braconnot, Pascale, Jian Cao, Chini, Louise P., Egorova, Tania, Evans, Michael, González-Rouco, J. Fidel, Goosse, Hugues, Hurtt, Georges C., Joos, Fortunat, Kaplan, Jed O., Khodri, Myriam, Goldewijk, Kees Klein, Krivova, Natalie, LeGrande, Allegra N., Lorenz, Stephan J., Luterbacher, Jürg, and Wenmin Man
- Subjects
PALEOCLIMATOLOGY ,GREENHOUSE gas mitigation ,COMPUTER simulation ,CLIMATE change ,LAND cover - 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 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 time scales. This manuscript describes the motivation and the experimental set-ups for the PMIP4-CMIP6 past1000 simulations, and discusses the forcing agents: orbital, solar, volcanic, 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 manuscript outlines current and future research foci and common analyses for collaborative work between the PMIP and the observational communities (reconstructions, instrumental data). [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
11. Cold decade (AD 1810–1819) caused by Tambora (1815) and another (1809) stratospheric volcanic eruption
- Author
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Cole-Dai, Jihong, primary, Ferris, David, additional, Lanciki, Alyson, additional, Savarino, Joël, additional, Baroni, Mélanie, additional, and Thiemens, Mark H., additional
- Published
- 2009
- Full Text
- View/download PDF
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