13 results on '"Christoph Dätwyler"'
Search Results
2. El Niño–Southern Oscillation variability, teleconnection changes and responses to large volcanic eruptions since AD 1000
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Christoph Dätwyler, Eugene R. Wahl, Martin Grosjean, Raphael Neukom, and Nerilie J. Abram
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Atmospheric Science ,geography ,geography.geographical_feature_category ,010504 meteorology & atmospheric sciences ,0207 environmental engineering ,Climate change ,02 engineering and technology ,01 natural sciences ,Proxy (climate) ,La Niña ,Volcano ,13. Climate action ,Climatology ,Paleoclimatology ,Common spatial pattern ,020701 environmental engineering ,Holocene ,Geology ,0105 earth and related environmental sciences ,Teleconnection - Abstract
The El Nino–Southern Oscillation (ENSO) is the earth’s dominant mode of inter- annual climate variability. It alternates between warm (El Nino) and cold (La Nina) states, with global impacts on climate and society. This study provides new ENSO reconstructions based on a large, updated collection of proxy records. We use a novel reconstruction approa ch that employs running principal components, which allows us to take covariance changes between proxy records into account and thereby identify periods of likely teleconnection changes. Using different implementations of the principal component analysis enables us to identify periods within the last millennium when quantifications of ENSO are most robust. These periods range from 1580 to the end of the 17th century and from 1825 to present. We incorporate an assessment of consistency among our new and existing ENSO reconstructions leading to five short phases of low agreement among the reconstructions between 1700 and 1786. We find a consistent spatial pattern of proxy covariance during these four phases, differing from the structure seen over the instrumental period. This pattern points towards changes in teleconnections in the west Pacific/Australasian region, compared to the present state. Using our new reconstructions, we find a significant response of ENSO towards more La Nina-like conditions 3–5 years after major volcanic events. We further show that our new reconstructions and existing reconstructions largely agree on the state of ENSO during volcanic eruptions in the years 1695 and 1784, which helps put into perspective the climatic response to these events. During all other large volcan ic eruptions of the last 1000 years, there is no reconstruction coherency with regard to the state of ENSO.
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- 2019
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3. A global database of Holocene paleotemperature records
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Marcela Sandra Tonello, Vincent Montade, Walter Finsinger, Karen J. Taylor, Manuel Chevalier, Isabelle Larocque-Tobler, Philipp Sommer, Nicholas P. McKay, Mateusz Płóciennik, Snezhana Zhilich, David F. Porinchu, Andrei Andreev, Markus Heinrichs, Tomi P. Luoto, Elena A. Ilyashuk, Anson W. Mackay, Deborah Khider, Stephen J. Roberts, Cody C. Routson, Les C. Cwynar, Samuel L Jaccard, Naomi Holmes, Kira Rehfeld, Aaron P. Potito, Emma J. Pearson, Steve Juggins, Anais Orsi, Louise C. Foster, Angela Self, Sakari Salonen, Basil A. S. Davis, Boris K. Biskaborn, Christoph Dätwyler, Sebastien Bertrand, Anne de Vernal, Jeannine Marie St-Jacques, Angelica Feurdean, Janet M. Wilmshurst, Lukas Jonkers, Heikki Seppä, Stephen J. Brooks, Elizabeth K. Thomas, Sonja Hausmann, Peter G. Langdon, Steven B. Malevich, Larisa Nazarova, Shyhrete Shala, Enikö Magyari, Matthew Peros, Scott A. Reinemann, Krystyna M. Saunders, Elena Novenko, Barbara Stenni, Yarrow Axford, Liudmila Syrykh, Julien Emile-Geay, Nicolas Rolland, Bryan G. Mark, Jianyong Li, Andria Dawson, Mathew Fox, André F. Lotter, Jessica E. Tierney, Oliver Heiri, Stefan Engels, Ian R. Walker, Andrew P. Rees, Pol Tarrats, Valerie van den Bos, Konrad Gajewski, Brian M. Chase, Eugene R. Wahl, Martin Grosjean, Boris P. Ilyashuk, Thomas Brussel, Mónika Tóth, Enlou Zhang, Darrell S. Kaufman, Olivier Cartapanis, Magaly Caniupán, Julieta Massaferro, Reinhard Pienitz, John M. Fegyveresi, Manuel Bringué, Carrie Morrill, Gaute Velle, M. P. Erb, Marie Claude Fortin, Petr Pařil, Karin A. Koinig, Richard S. Vachula, Paola Moffa-Sanchez, Jeremiah Marsicek, Northern Arizona University [Flagstaff], Institute of Earth Surface Dynamics [Lausanne], Université de Lausanne (UNIL), Utrecht University Palaeoecology, Laboratory of Palaeobotany and Palynology (UTRECHT UNIVERSITY), Utrecht University [Utrecht], Oeschger Centre for Climate Change Research (OCCR), University of Bern, University of Arizona, Centre européen de recherche et d'enseignement des géosciences de l'environnement (CEREGE), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Collège de France (CdF (institution))-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA), Institut des Sciences de l'Evolution de Montpellier (UMR ISEM), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UR226, Mount Royal University, Centre de recherche sur la dynamique du système Terre (GEOTOP), Université de Montréal (UdeM)-McGill University = Université McGill [Montréal, Canada]-École Polytechnique de Montréal (EPM)-Concordia University [Montreal]-Université du Québec à Rimouski (UQAR)-Université du Québec à Montréal = University of Québec in Montréal (UQAM)-Université du Québec en Abitibi-Témiscamingue (UQAT), Center for Marine Environmental Sciences [Bremen] (MARUM), Universität Bremen, 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), Institute of Environmental Physics [Heidelberg] (IUP), Universität Heidelberg [Heidelberg], Programme CIT, Ligue Nationale Contre le Cancer, Snecma Propulsion Solide (SPS), SAFRAN Group, University of Southern California (USC), Senckenberg biodiversität und klima forschungszentrum (BIK-F), Forschungsinstitut Senckenberg (SGN), Université d'Ottawa [Ontario] (uOttawa), Faculty of Biological and Environmental Sciences [Helsinki], University of Helsinki, Department of Environmental and Landscape Geography, Eötvös Loránd University (ELTE), MTA-MTM-ELTE Research Group for Paleontology, Eötvös Loránd University (ELTE)-Hungarian Academy of Sciences (MTA), GINOP Sustainable Ecosystem Research Group, MTA Centre for Ecological Research [Tihany], Hungarian Academy of Sciences (MTA)-Hungarian Academy of Sciences (MTA), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET), Centre d'Etudes Nordiques (CEN), Université Laval [Québec] (ULaval), British Antarctic Survey (BAS), Natural Environment Research Council (NERC), Department of Geosciences and Geography [Helsinki], Falculty of Science [Helsinki], University of Helsinki-University of Helsinki, Departemanto di Scienze Ambientali Informatica e Statistica (DAIS), University of Ca’ Foscari [Venice, Italy], Uni Research Environment, Uni Research Ltd, University of Bath [Bath], Université de Lausanne = University of Lausanne (UNIL), 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), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS), École Polytechnique de Montréal (EPM)-McGill University = Université McGill [Montréal, Canada]-Université de Montréal (UdeM)-Université du Québec en Abitibi-Témiscamingue (UQAT)-Université du Québec à Rimouski (UQAR)-Concordia University [Montreal]-Université du Québec à Montréal = University of Québec in Montréal (UQAM), 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), Universität Heidelberg [Heidelberg] = Heidelberg University, Ligue Nationale Contre le Cancer (LNCC), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Faculty of Biological and Environmental Sciences, and Department of Geosciences and Geography
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Peat ,010504 meteorology & atmospheric sciences ,580 Plants (Botany) ,computer.software_genre ,01 natural sciences ,MILLENNIAL-SCALE CHANGES ,Proxy (climate) ,purl.org/becyt/ford/1 [https] ,purl.org/becyt/ford/1.5 [https] ,INTERTROPICAL CONVERGENCE ZONE ,HOLOCENE ,910 Geography & travel ,lcsh:Science ,Holocene ,LAKE VUOLEP-NJAKAJAURE ,geography.geographical_feature_category ,Database ,EASTERN TIBETAN PLATEAU ,[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM] ,Computer Science Applications ,LATE-QUATERNARY VEGETATION ,[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology ,SEA-SURFACE TEMPERATURE ,PROXIES ,Statistics, Probability and Uncertainty ,geog ,Geology ,Information Systems ,Statistics and Probability ,1171 Geosciences ,010506 paleontology ,NORTHERN NORTH-ATLANTIC ,DATABASE ,PALEOTEMPERATURE ,[SDE.MCG]Environmental Sciences/Global Changes ,education ,Library and Information Sciences ,Education ,Paleoclimatology ,SOUTH CHINA SEA ,[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment ,Southern Hemisphere ,1172 Environmental sciences ,POLLEN-BASED RECONSTRUCTION ,550 Earth sciences & geology ,0105 earth and related environmental sciences ,geography ,[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB] ,Intertropical Convergence Zone ,Glacier ,15. Life on land ,WESTERN EQUATORIAL PACIFIC ,Sea surface temperature ,13. Climate action ,Settore GEO/08 - Geochimica e Vulcanologia ,Earth and Environmental Sciences ,lcsh:Q ,computer - Abstract
A comprehensive database of paleoclimate records is needed to place recent warming into the longer-term context of natural climate variability. We present a global compilation of quality-controlled, published, temperature-sensitive proxy records extending back 12,000 years through the Holocene. Data were compiled from 679 sites where time series cover at least 4000 years, are resolved at sub-millennial scale (median spacing of 400 years or finer) and have at least one age control point every 3000 years, with cut-off values slackened in data-sparse regions. The data derive from lake sediment (51%), marine sediment (31%), peat (11%), glacier ice (3%), and other natural archives. The database contains 1319 records, including 157 from the Southern Hemisphere. The multi-proxy database comprises paleotemperature time series based on ecological assemblages, as well as biophysical and geochemical indicators that reflect mean annual or seasonal temperatures, as encoded in the database. This database can be used to reconstruct the spatiotemporal evolution of Holocene temperature at global to regional scales, and is publicly available in Linked Paleo Data (LiPD) format. Fil: Kaufman, Darrell. Northern Arizona University.; Estados Unidos Fil: McKay, Nicholas. Northern Arizona University.; Estados Unidos Fil: Routson, Cody. Northern Arizona University.; Estados Unidos Fil: Erb, Michael. Northern Arizona University.; Estados Unidos Fil: Davis, Basil. University Of Lausanne; Suiza Fil: Heiri, Oliver. University Of Basel; Suiza Fil: Jaccard, Samuel. University Of Bern; Suiza Fil: Tierney, Jessica. University of Arizona; Estados Unidos Fil: Dätwyler, Christoph. University Of Bern; Suiza Fil: Axford, Yarrow. Northwestern University; Estados Unidos Fil: Brussel, Thomas. University of Utah; Estados Unidos Fil: Cartapanis, Olivier. University Of Bern; Suiza Fil: Chase, Brian. Universite de Montpellier; Francia Fil: Dawson, Andria. Mount Royal University; Canadá Fil: de Vernal, Anne. Université du Québec a Montreal; Canadá Fil: Engels, Stefan. University of London; Reino Unido Fil: Jonkers, Lukas. University Of Bremen; Alemania Fil: Marsicek, Jeremiah. University of Wisconsin-Madison; Estados Unidos Fil: Moffa Sánchez, Paola. University of Durham; Reino Unido Fil: Morrill, Carrie. University of Colorado; Estados Unidos Fil: Orsi, Anais. Université Paris-Saclay; Francia Fil: Rehfeld, Kira. Heidelberg University; Alemania Fil: Saunders, Krystyna. Australian Nuclear Science And Technology Organisation; Australia Fil: Sommer, Philipp. University Of Lausanne; Suiza Fil: Thomas, Elizabeth. University At Buffalo; Estados Unidos Fil: Tonello, Marcela Sandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina Fil: Tóth, Mónika. Balaton Limnological Institute; Hungría Fil: Vachula, Richard. Brown University; Estados Unidos Fil: Andreev, Andrei. Alfred Wegener Institut Helmholtz Centre for Polar and Marine Research; Alemania Fil: Bertrand, Sebastien. Ghent University; Bélgica Fil: Massaferro, Julieta. Administración de Parques Nacionales. Parque Nacional "Nahuel Huapi"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
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- 2020
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4. Review of the discussion paper «Quantifying paleo-reconstruction skill of the Southern Annular Mode in a model framework» submitted by W. Huiskamp and S. McGregor
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Christoph Dätwyler
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Mode (statistics) ,Geology ,Seismology - Published
- 2020
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5. Publisher Correction: A global database of Holocene paleotemperature records
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M. P. Erb, Marie Claude Fortin, Enlou Zhang, Mathew Fox, Lukas Jonkers, Isabelle Larocque-Tobler, Anson W. Mackay, Richard S. Vachula, Magaly Caniupán, Julieta Massaferro, Brian M. Chase, Barbara Stenni, Mateusz Płóciennik, Liudmila Syrykh, Scott A. Reinemann, Oliver Heiri, Julien Emile-Geay, Nicolas Rolland, Walter Finsinger, Reinhard Pienitz, Karin A. Koinig, Petr Pařil, Stephen J. Roberts, Sebastien Bertrand, Anne de Vernal, Les C. Cwynar, Deborah Khider, Shyhrete Shala, Elizabeth K. Thomas, Tomi P. Luoto, Marcela Sandra Tonello, Vincent Montade, Paola Moffa-Sanchez, Andria Dawson, Boris P. Ilyashuk, Elena Novenko, Ian R. Walker, Christoph Dätwyler, Eugene R. Wahl, Andrew P. Rees, Martin Grosjean, Pol Tarrats, David F. Porinchu, Peter G. Langdon, Samuel L Jaccard, Boris K. Biskaborn, Yarrow Axford, Mónika Tóth, Basil A. S. Davis, Cody C. Routson, Kira Rehfeld, Jeremiah Marsicek, Aaron P. Potito, Valerie van den Bos, Manuel Chevalier, Naomi Holmes, Sakari Salonen, Karen J. Taylor, Nicholas P. McKay, Enikö Magyari, Philipp Sommer, Elena A. Ilyashuk, Matthew Peros, Emma J. Pearson, Steve Juggins, Krystyna M. Saunders, Janet M. Wilmshurst, Heikki Seppä, Louise C. Foster, Angela Self, Jeannine Marie St-Jacques, Manuel Bringué, Snezhana Zhilich, Anais Orsi, Olivier Cartapanis, Larisa Nazarova, Angelica Feurdean, Stephen J. Brooks, Sonja Hausmann, Steven B. Malevich, Stefan Engels, Bryan G. Mark, Jianyong Li, John M. Fegyveresi, Carrie Morrill, Gaute Velle, Thomas Brussel, Darrell S. Kaufman, André F. Lotter, Konrad Gajewski, Jessica E. Tierney, Andrei Andreev, and Markus Heinrichs
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Statistics and Probability ,Data descriptor ,Data Descriptor ,010504 meteorology & atmospheric sciences ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,MEDLINE ,910 Geography & travel ,580 Plants (Botany) ,Library and Information Sciences ,Palaeoclimate ,01 natural sciences ,Education ,03 medical and health sciences ,550 Earth sciences & geology ,lcsh:Science ,Climate and Earth system modelling ,Holocene ,030304 developmental biology ,0105 earth and related environmental sciences ,0303 health sciences ,Published Erratum ,Publisher Correction ,Computer Science Applications ,ComputingMethodologies_DOCUMENTANDTEXTPROCESSING ,lcsh:Q ,Statistics, Probability and Uncertainty ,Cartography ,Geology ,Information Systems - Abstract
A comprehensive database of paleoclimate records is needed to place recent warming into the longer-term context of natural climate variability. We present a global compilation of quality-controlled, published, temperature-sensitive proxy records extending back 12,000 years through the Holocene. Data were compiled from 679 sites where time series cover at least 4000 years, are resolved at sub-millennial scale (median spacing of 400 years or finer) and have at least one age control point every 3000 years, with cut-off values slackened in data-sparse regions. The data derive from lake sediment (51%), marine sediment (31%), peat (11%), glacier ice (3%), and other natural archives. The database contains 1319 records, including 157 from the Southern Hemisphere. The multi-proxy database comprises paleotemperature time series based on ecological assemblages, as well as biophysical and geochemical indicators that reflect mean annual or seasonal temperatures, as encoded in the database. This database can be used to reconstruct the spatiotemporal evolution of Holocene temperature at global to regional scales, and is publicly available in Linked Paleo Data (LiPD) format., Measurement(s)climateTechnology Type(s)digital curationFactor Type(s)temporal interval • geographic location • proxy typeSample Characteristic - Environmentclimate systemSample Characteristic - LocationEarth (planet) Machine-accessible metadata file describing the reported data: https://www.ncdc.noaa.gov/paleo/study/27330
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- 2020
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6. Holocene global mean surface temperature, a multi-method reconstruction approach
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Philipp Sommer, M. P. Erb, Cody C. Routson, Basil A. S. Davis, Nicholas P. McKay, Christoph Dätwyler, Oliver Heiri, and Darrell S. Kaufman
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Statistics and Probability ,010506 paleontology ,010504 meteorology & atmospheric sciences ,910 Geography & travel ,Library and Information Sciences ,Temperature a ,Palaeoclimate ,01 natural sciences ,Proxy (climate) ,Education ,550 Earth sciences & geology ,lcsh:Science ,Climate and Earth system modelling ,Holocene ,0105 earth and related environmental sciences ,Computer Science Applications ,Earth system science ,Climatology ,Carbon isotope excursion ,lcsh:Q ,Multi method ,Statistics, Probability and Uncertainty ,Robust analysis ,Analysis ,Geology ,Information Systems - Abstract
An extensive new multi-proxy database of paleo-temperature time series (Temperature 12k) enables a more robust analysis of global mean surface temperature (GMST) and associated uncertainties than was previously available. We applied five different statistical methods to reconstruct the GMST of the past 12,000 years (Holocene). Each method used different approaches to averaging the globally distributed time series and to characterizing various sources of uncertainty, including proxy temperature, chronology and methodological choices. The results were aggregated to generate a multi-method ensemble of plausible GMST and latitudinal-zone temperature reconstructions with a realistic range of uncertainties. The warmest 200-year-long interval took place around 6500 years ago when GMST was 0.7 °C (0.3, 1.8) warmer than the 19th Century (median, 5th, 95th percentiles). Following the Holocene global thermal maximum, GMST cooled at an average rate −0.08 °C per 1000 years (−0.24, −0.05). The multi-method ensembles and the code used to generate them highlight the utility of the Temperature 12k database, and they are now available for future use by studies aimed at understanding Holocene evolution of the Earth system.
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- 2020
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7. Teleconnections and relationship between the El Niño–Southern Oscillation (ENSO) and the Southern Annular Mode (SAM) in reconstructions and models over the past millennium
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Nathan J. Steiger, Christoph Dätwyler, Raphael Neukom, Martin Grosjean, University of Zurich, and Dätwyler, Christoph
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010504 meteorology & atmospheric sciences ,lcsh:Environmental protection ,Stratigraphy ,2306 Global and Planetary Change ,010502 geochemistry & geophysics ,01 natural sciences ,Proxy (climate) ,lcsh:Environmental pollution ,lcsh:TD169-171.8 ,910 Geography & travel ,Southern Hemisphere ,lcsh:Environmental sciences ,550 Earth sciences & geology ,0105 earth and related environmental sciences ,lcsh:GE1-350 ,Climate pattern ,Global and Planetary Change ,Interdecadal Pacific Oscillation ,Palaeontology ,Paleontology ,1911 Paleontology ,El Niño Southern Oscillation ,10122 Institute of Geography ,13. Climate action ,Negative relationship ,Climatology ,lcsh:TD172-193.5 ,Climate model ,1913 Stratigraphy ,Geology ,Teleconnection - Abstract
The climate of the Southern Hemisphere (SH) is strongly influenced by variations in the El Niño–Southern Oscillation (ENSO) and the Southern Annular Mode (SAM). Because of the limited length of instrumental records in most parts of the SH, very little is known about the relationship between these two key modes of variability over time. Using proxy-based reconstructions and last-millennium climate model simulations, we find that ENSO and SAM indices are mostly negatively correlated over the past millennium. Pseudo-proxy experiments indicate that currently available proxy records are able to reliably capture ENSO–SAM relationships back to at least 1600 CE. Palaeoclimate reconstructions show mostly negative correlations back to about 1400 CE. An ensemble of last-millennium climate model simulations confirms this negative correlation, showing a stable correlation of approximately −0.3. Despite this generally negative relationship we do find intermittent periods of positive ENSO–SAM correlations in individual model simulations and in the palaeoclimate reconstructions. We do not find evidence that these relationship fluctuations are caused by exogenous forcing nor by a consistent climate pattern. However, we do find evidence that strong negative correlations are associated with strong positive (negative) anomalies in the Interdecadal Pacific Oscillation and the Amundsen Sea Low during periods when SAM and ENSO indices are of opposite (equal) sign.
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- 2020
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8. Response to Referee#2
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Christoph Dätwyler
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- 2020
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9. Response to Referee #1
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Christoph Dätwyler
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- 2020
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10. Supplementary material to 'Teleconnections and relationship between ENSO and SAM in reconstructions and models over the past millennium'
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Christoph Dätwyler, Martin Grosjean, Nathan J. Steiger, and Raphael Neukom
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- 2019
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11. Teleconnections and relationship between ENSO and SAM in reconstructions and models over the past millennium
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Nathan J. Steiger, Martin Grosjean, Christoph Dätwyler, and Raphael Neukom
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El Niño Southern Oscillation ,Internal variability ,Climatology ,Climate model ,Pseudoproxy ,Negative temperature ,Southern Hemisphere ,Geology ,Proxy (climate) ,Teleconnection - Abstract
The climate of the Southern Hemisphere (SH) is strongly influenced by variations in the El Niño-Southern Oscillation (ENSO) and the Southern Annular Mode (SAM). Due to the temporally very limited instrumental records in most parts of the SH, very little is known about the relationship between these two key modes of variability and its stability over time. Here, we use proxy-based reconstructions and climate model simulations to quantify changes in tropical-extratropical SH teleconnections as represented by the correlation between the ENSO and SAM indices. Reconstructions indicate mostly negative correlations back to around 1400 CE confirming the pattern seen in the instrumental record over the last few decades. An ensemble of last millennium simulations of the model CESM1 confirms this pattern with very stable ensemble mean correlations around −0.3. Individual forced simulations, the pre-industrial control run and the proxy-based reconstructions indicate intermittent periods of positive correlations and particularly strong negative correlations. The fluctuations of the ENSO-SAM correlations are not significantly related to solar nor volcanic forcing in both proxy and model data, indicating that they are driven by internal variability in the climate system. Pseudoproxy experiments indicate that the currently available proxy records are able to reproduce the tropical-extratropical teleconnection patterns back to around 1600 CE. We analyse the spatial temperature and sea level pressure patterns during periods of positive and particularly strong negative teleconnections in the CESM model. Results indicate no consistent pattern during periods where the ENSO-SAM teleconnection changes its sign. However, periods of very strong negative SH teleconnections are associated with negative temperature anomalies across large fractions of the extra-tropical Pacific and a strengthening of the Aleutian Low.
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- 2019
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12. Author Correction: A global database of Holocene paleotemperature records
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Manuel Chevalier, Deborah Khider, Magaly Caniupán, Julieta Massaferro, Manuel Bringué, Marcela Sandra Tonello, Scott A. Reinemann, Ian R. Walker, Elena A. Ilyashuk, Walter Finsinger, Stephen J. Roberts, Andrew P. Rees, Mathew Fox, Pol Tarrats, Les C. Cwynar, Karen J. Taylor, Emma J. Pearson, Steve Juggins, John M. Fegyveresi, Elizabeth K. Thomas, David F. Porinchu, Anais Orsi, Nicholas P. McKay, Boris P. Ilyashuk, Oliver Heiri, Lukas Jonkers, Thomas Brussel, Vincent Montade, Eugene R. Wahl, Sakari Salonen, Darrell S. Kaufman, Martin Grosjean, Boris K. Biskaborn, Olivier Cartapanis, Tomi P. Luoto, Naomi Holmes, Cody C. Routson, Reinhard Pienitz, Brian M. Chase, Samuel L Jaccard, Louise C. Foster, Christoph Dätwyler, Angela Self, Kira Rehfeld, Aaron P. Potito, Stefan Engels, Andrei Andreev, Markus Heinrichs, Julien Emile-Geay, Nicolas Rolland, Valerie van den Bos, Jeremiah Marsicek, Mónika Tóth, Carrie Morrill, Gaute Velle, Bryan G. Mark, Andria Dawson, Mateusz Płóciennik, Konrad Gajewski, Jianyong Li, Isabelle Larocque-Tobler, Barbara Stenni, Paola Moffa-Sanchez, Liudmila Syrykh, Enlou Zhang, Shyhrete Shala, André F. Lotter, Jessica E. Tierney, Karin A. Koinig, Sebastien Bertrand, Anne de Vernal, Enikö Magyari, Petr Pařil, Matthew Peros, Snezhana Zhilich, Richard S. Vachula, M. P. Erb, Marie Claude Fortin, Krystyna M. Saunders, Elena Novenko, Larisa Nazarova, Peter G. Langdon, Yarrow Axford, Janet M. Wilmshurst, Heikki Seppä, Jeannine Marie St-Jacques, Angelica Feurdean, Philipp Sommer, Stephen J. Brooks, Anson W. Mackay, Sonja Hausmann, Steven B. Malevich, and Basil A. S. Davis
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Statistics and Probability ,lcsh:Q ,Physical geography ,Library and Information Sciences ,Statistics, Probability and Uncertainty ,Author Correction ,lcsh:Science ,Geology ,Holocene ,Computer Science Applications ,Education ,Information Systems - Abstract
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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- 2020
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13. Teleconnection stationarity, variability and trends of the Southern Annular Mode (SAM) during the last millennium
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Raphael Neukom, Martín Jacques-Coper, Christoph Dätwyler, Nerilie J. Abram, Ricardo Villalba, David J. Karoly, Ailie J. E. Gallant, and Martin Grosjean
- Subjects
Atmospheric Science ,010504 meteorology & atmospheric sciences ,CLIMATE CHANGE ,Climate change ,010502 geochemistry & geophysics ,01 natural sciences ,Proxy (climate) ,Ciencias de la Tierra y relacionadas con el Medio Ambiente ,SOUTHERN HEMISPHERE ,Paleoclimatology ,HOLOCENE ,910 Geography & travel ,Southern Hemisphere ,Holocene ,550 Earth sciences & geology ,0105 earth and related environmental sciences ,geography ,geography.geographical_feature_category ,CLIMATE RECONSTRUCTION ,Volcano ,13. Climate action ,Climatology ,PALEOCLIMATE ,Antarctic oscillation ,Meteorología y Ciencias Atmosféricas ,Geology ,CIENCIAS NATURALES Y EXACTAS ,Teleconnection - Abstract
The Southern Annular Mode (SAM) is the leading mode of atmospheric interannual variability in the Southern Hemisphere (SH) extra-tropics. Here, we assess the stationarity of SAM spatial correlations with instrumental and paleoclimate proxy data for the past millennium. The instrumental period shows that temporal non-stationarities in SAM teleconnections are not consistent across the SH land areas. This suggests that the influence of the SAM index is modulated by regional effects. However, within key-regions with good proxy data coverage (South America, Tasmania, New Zealand), teleconnections are mostly stationary over the instrumental period. Using different stationarity criteria for proxy record selection, we provide new austral summer and annual mean SAM index reconstructions over the last millennium. Our summer SAM reconstructions are very robust to changes in proxy record selection and the selection of the calibration period, particularly on the multi-decadal timescale. In contrast, the weaker performance and lower agreement in the annual mean SAM reconstructions point towards changing teleconnection patterns that may be particularly important outside the summer months. Our results clearly portend that the temporal stationarity of the proxy-climate relationships should be taken into account in the design of comprehensive regional and hemispherical climate reconstructions. The summer SAM reconstructions show no significant relationship to solar, greenhouse gas and volcanic forcing, with the exception of an extremely strong negative anomaly following the AD 1257 Samalas eruption. Furthermore, reconstructed pre-industrial summer SAM trends are very similar to trends obtained by model control simulations. We find that recent trends in the summer SAM lie outside the 5–95% range of pre-industrial natural variability. Fil: Dätwyler, Christoph. University of Bern. Centre for Climate Change Research. Institute of Geography and Oeschger ; Suiza Fil: Neukom, Raphael. University of Bern. Centre for Climate Change Research. Institute of Geography and Oeschger ; Suiza Fil: Abram, Nerilie J.. Australian National University; Australia Fil: Gallant, Ailie J. E.. Monash University; Australia Fil: Grosjean, Martin. University of Bern. Centre for Climate Change Research. Institute of Geography and Oeschger ; Suiza Fil: Jacques-Coper, Martín. Universidad de Concepción; Chile Fil: Karoly, David J.. University of Melbourne; Australia Fil: Villalba, Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; Argentina
- Published
- 2018
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