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description Publicationkeyboard_double_arrow_right Article 2012 Germany, France, Netherlands, France, GermanyPublisher:Copernicus GmbH Funded by:EC | EMIS, EC | PAST4FUTUREEC| EMIS ,EC| PAST4FUTURED. J. Lunt; A. Abe-Ouchi; P. Bakker; A. Berger; P. Braconnot; S. Charbit; N. Fischer; N. Herold; J. H. Jungclaus; V. C. Khon; U. Krebs-Kanzow; P. M. Langebroek; G. Lohmann; K. H. Nisancioglu; B. L. Otto-Bliesner; W. Park; M. Pfeiffer; S. J. Phipps; M. Prange; R. Rachmayani; H. Renssen; N. Rosenbloom; B. Schneider; E. J. Stone; K. Takahashi; W. Wei; Q. Yin; Z. S. Zhang;Abstract. The Last Interglaciation (∼130 to 116 ka) is a time period with a strong astronomically-induced seasonal forcing of insolation compared to modern. Proxy records indicate a significantly different climate to that of the modern, in particular Arctic summer warming and higher eustatic sea level. Because the forcings are relatively well constrained, it provides an opportunity to test numerical models which are used for future climate prediction. In this paper, we compile a set of climate model simulations of the early Last Interglaciation (130 to 125 ka), encompassing a range of model complexity. We compare the models to each other, and to a recently published compilation of Last Interglacial temperature estimates. We show that the annual mean response of the models is rather small, with no clear signal in many regions. However, the seasonal response is more robust, and there is significant agreement amongst models as to the regions of warming vs. cooling. However, the quantitative agreement of the models with data is poor, with the models in general underestimating the magnitude of response seen in the proxies. Taking possible seasonal biases in the proxies into account improves the agreement marginally, but the agreement is still far from perfect. However, a lack of uncertainty estimates in the data does not allow us to draw firm conclusions. Instead, this paper points to several ways in which both modelling and data could be improved, to allow a more robust model-data comparison.
OceanRep arrow_drop_down Electronic Publication Information CenterArticle . 2013Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/cpd-8-3657-2012&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 127 citations 127 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!more_vert OceanRep arrow_drop_down Electronic Publication Information CenterArticle . 2013Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/cpd-8-3657-2012&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2021 Germany, Italy, FrancePublisher:Copernicus GmbH Funded by:NSF | The Management and Operat...NSF| The Management and Operation of the National Center for Atmoshperic Research (NCAR)X. Shi; M. Werner; C. Krug; C. Krug; C. M. Brierley; A. Zhao; E. Igbinosa; E. Igbinosa; P. Braconnot; E. Brady; J. Cao; R. D'Agostino; J. Jungclaus; X. Liu; B. Otto-Bliesner; D. Sidorenko; R. Tomas; E. M. Volodin; H. Yang; Q. Zhang; W. Zheng; G. Lohmann; G. Lohmann;Abstract. Numerical modelling enables a comprehensive understanding not only of the Earth's system today, but also of the past. To date, a significant amount of time and effort has been devoted to paleoclimate modeling and analysis, which involves the latest and most advanced Paleoclimate Modelling Intercomparison Project phase 4 (PMIP4). The definition of seasonality, which is influenced by slow variations in the Earth's orbital parameters, plays a key role in determining the calculated seasonal cycle of the climate. In contrast to the classical calendar used today, where the lengths of the months and seasons are fixed, the angular calendar calculates the lengths of the months and seasons according to a fixed number of degrees along the Earth's orbit. When comparing simulation results for different time intervals, it is essential to account for the angular calendar to ensure that the data for comparison is from the same position along the Earth's orbit. Most models use the classical "fixed-length" calendar, which can lead to strong distortions of the monthly and seasonal values, especially for the climate of the past. Here, by analyzing daily outputs from multiple PMIP4 model simulations, we examine calendar effects on surface air temperature and precipitation under mid-Holocene, last interglacial, and pre-industrial climate conditions. We conclude that: (a) The largest cooling bias occurs in autumn when the classical calendar is applied for the mid-Holocene and last interglacial. (b) The sign of the temperature anomalies between the Last Interglacial and pre-industrial in boreal autumn can be reversed after the switch from classical to angular calendar, particularly over the Northern Hemisphere continents. (c) Precipitation over West Africa is overestimated in boreal summer and underestimated in boreal autumn when the "fixed-length" seasonal cycle is applied. (d) Finally, correcting the calendar based on the monthly model results can reduce the biases to a large extent, but not completely eliminate them. In addition, we examine the calendar effects in 3 transient simulations for 6–0 ka by AWI-ESM, MPI-ESM, and IPSL. We find significant discrepancies between adjusted and unadjusted temperature values over ice-free continents for both hemispheres in boreal autumn. While for other seasons the deviations are relatively small. A drying bias can be found in the summer monsoon precipitation in Africa (in the "fixed-length" calendar), whereby the magnitude of bias becomes smaller over time. Overall, our study underlines the importance of the application of calendar transformation in the analysis of climate simulations. Neglecting the calendar effects could lead to a profound artificial distortion of the calculated seasonal cycle of surface air temperature and precipitation. One important fact to be noted here is that the discrepancy in seasonality under different calendars is an analysis bias and is highly depends on the choice of the reference position/date (usually the vernal equinox, which is set to 31th March) on the Earth's ellipse around the sun. Different model groups may apply different reference dates, so ensuring a consistent reference date and seasonal definition is key when we compare results across multiple models.
Climate of the Past ... arrow_drop_down Climate of the Past (CP); IRIS - Institutional Research Information System of the University of TrentoArticle . 2022 . Peer-reviewedLicense: CC BYhttps://doi.org/10.5194/cp-202...Preprint . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefElectronic Publication Information CenterArticle . 2022Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/cp-2021-163&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Climate of the Past ... arrow_drop_down Climate of the Past (CP); IRIS - Institutional Research Information System of the University of TrentoArticle . 2022 . Peer-reviewedLicense: CC BYhttps://doi.org/10.5194/cp-202...Preprint . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefElectronic Publication Information CenterArticle . 2022Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/cp-2021-163&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 Germany, Germany, Netherlands, France, FrancePublisher:Copernicus GmbH Masa Kageyama; Sandy P. Harrison; Marie Kapsch; Marcus Lofverstrom; Juan M. Lora; Uwe Mikolajewicz; Sam Sherriff-Tadano; Tristan Vadsaria; Ayako Abe-Ouchi; Nathaelle Bouttes; Deepak Chandan; Lauren Gregoire; Ruza F. Ivanovic; Kenji Izumi; Allegra N. LeGrande; Fanny Lhardy; Gerrit Lohmann; Polina Morozova; Rumi Ohgaito; André Paul; W. Richard Peltier; Christopher J. Poulsen; Aurélien Quiquet; Didier M. Roche; Xiaoxu Shi; Jessica E. Tierney; Paul J. Valdes; Evgeny Volodin; Jiang Zhu;The Last Glacial Maximum (LGM, ∼ 21 000 years ago) has been a major focus for evaluating how well state-of-the-art climate models simulate climate changes as large as those expected in the future using paleoclimate reconstructions. A new generation of climate models has been used to generate LGM simulations as part of the Paleoclimate Modelling Intercomparison Project (PMIP) contribution to the Coupled Model Intercomparison Project (CMIP). Here, we provide a preliminary analysis and evaluation of the results of these LGM experiments (PMIP4, most of which are PMIP4-CMIP6) and compare them with the previous generation of simulations (PMIP3, most of which are PMIP3-CMIP5). We show that the global averages of the PMIP4 simulations span a larger range in terms of mean annual surface air temperature and mean annual precipitation compared to the PMIP3-CMIP5 simulations, with some PMIP4 simulations reaching a globally colder and drier state. However, the multi-model global cooling average is similar for the PMIP4 and PMIP3 ensembles, while the multi-model PMIP4 mean annual precipitation average is drier than the PMIP3 one. There are important differences in both atmospheric and oceanic circulations between the two sets of experiments, with the northern and southern jet streams being more poleward and the changes in the Atlantic Meridional Overturning Circulation being less pronounced in the PMIP4-CMIP6 simulations than in the PMIP3-CMIP5 simulations. Changes in simulated precipitation patterns are influenced by both temperature and circulation changes. Differences in simulated climate between individual models remain large. Therefore, although there are differences in the average behaviour across the two ensembles, the new simulation results are not fundamentally different from the PMIP3-CMIP5 results. Evaluation of large-scale climate features, such as land–sea contrast and polar amplification, confirms that the models capture these well and within the uncertainty of the paleoclimate reconstructions. Nevertheless, regional climate changes are less well simulated: the models underestimate extratropical cooling, particularly in winter, and precipitation changes. These results point to the utility of using paleoclimate simulations to understand the mechanisms of climate change and evaluate model performance.
OceanRep; Climate of... arrow_drop_down OceanRep; Climate of the Past (CP); Climate of the PastArticle . 2021 . Peer-reviewedLicense: CC BYElectronic Publication Information CenterArticle . 2021Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/cp-17-1065-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 94 citations 94 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 12visibility views 12 download downloads 7 Powered bymore_vert OceanRep; Climate of... arrow_drop_down OceanRep; Climate of the Past (CP); Climate of the PastArticle . 2021 . Peer-reviewedLicense: CC BYElectronic Publication Information CenterArticle . 2021Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/cp-17-1065-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2021 France, Germany, BrazilPublisher:Copernicus GmbH Funded by:UKRI | South Wales Industrial Cl..., NSF | NSFGEO-NERC: Quantifying ...UKRI| South Wales Industrial Cluster ,NSF| NSFGEO-NERC: Quantifying the Modern and Glacial Ocean's Carbon Cycle Including IsotopesS. Mulitza; T. Bickert; H. C. Bostock; H. C. Bostock; C. M. Chiessi; B. Donner; A. Govin; N. Harada; E. Huang; H. Johnstone; H. Kuhnert; M. Langner; F. Lamy; L. Lembke-Jene; L. Lisiecki; J. Lynch-Stieglitz; L. Max; M. Mohtadi; G. Mollenhauer; J. Muglia; D. Nürnberg; A. Paul; C. Rühlemann; J. Repschläger; R. Saraswat; A. Schmittner; E. L. Sikes; R. F. Spielhagen; R. Tiedemann;We present a global atlas of downcore foraminiferal oxygen and carbon isotope ratios available at https://doi.pangaea.de/10.1594/PANGAEA.936747 (Mulitza et al., 2021). The database contains 2,108 published and previously unpublished stable isotope downcore records with 362,067 stable isotope values of various planktonic and benthic species of foraminifera from 1,265 sediment cores. Age constraints are provided by 6,153 uncalibrated radiocarbon ages from 598 (47 %) of the cores. Each stable isotope and radiocarbon series is provided in a separate netCDF file containing fundamental meta data as attributes. The data set can be managed and explored with the free software tool PaleoDataView. The atlas will provide important data for paleoceanographic analyses and compilations, site surveys, or for teaching marine stratigraphy. The database can be updated with new records as they are generated, providing a live ongoing resource into the future.
OceanRep arrow_drop_down Earth System Science Data (ESSD); Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) - Universidade de São Paulo (USP)Article . 2022 . Peer-reviewedLicense: CC BYElectronic Publication Information CenterArticle . 2022Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-2021-337&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 5 citations 5 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert OceanRep arrow_drop_down Earth System Science Data (ESSD); Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) - Universidade de São Paulo (USP)Article . 2022 . Peer-reviewedLicense: CC BYElectronic Publication Information CenterArticle . 2022Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-2021-337&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 France, France, Germany, Norway, United Kingdom, France, France, United KingdomPublisher:Copernicus GmbH Funded by:UKRI | The Deep-Time Model Inter..., NSF | The Management and Operat..., NSF | Collaborative Research: I... +4 projectsUKRI| The Deep-Time Model Intercomparison Project (DeepMIP) ,NSF| The Management and Operation of the National Center for Atmoshperic Research (NCAR) ,NSF| Collaborative Research: Integrating proxies and Earth System Models to elucidate water cycle dynamics:Did global warming cause an enhanced hydrological cycle in the Eocene? ,UKRI| Reducing Greenhouse Climate Proxy Uncertainty ,EC| TGRES ,NSF| Collaborative Research: P2C2--Understanding the Role of a High-Latitude Convective Cloud Feedback in Equable and Future Climate Dynamics ,UKRI| SWEET:Super-Warm Early Eocene Temperatures and climate: understanding the response of the Earth to high CO2 through integrated modelling and dataDaniel J. Lunt; Fran Bragg; Wing Le Chan; David K. Hutchinson; Jean-Baptiste Ladant; Polina Morozova; Igor Niezgodzki; Sebastian Steinig; Zhongshi Zhang; Jiang Zhu; Ayako Abe-Ouchi; Eleni Anagnostou; Agatha M. de Boer; Helen K. Coxall; Yannick Donnadieu; Gavin L. Foster; Gordon N. Inglis; Gregor Knorr; Petra Langebroek; Caroline H Lear; Gerrit Lohmann; Christopher J. Poulsen; Pierre Sepulchre; Jessica E. Tierney; Paul J. Valdes; E. M. Volodin; Tom Dunkley Jones; Christopher J. Hollis; Matthew Huber; Bette L. Otto-Bliesner;We present results from an ensemble of eight climate models, each of which has carried out simulations of the early Eocene climate optimum (EECO, ∼ 50 million years ago). These simulations have been carried out in the framework of the Deep-Time Model Intercomparison Project (DeepMIP; http://www.deepmip.org, last access: 10 January 2021); thus, all models have been configured with the same paleogeographic and vegetation boundary conditions. The results indicate that these non-CO2 boundary conditions contribute between 3 and 5 ∘C to Eocene warmth. Compared with results from previous studies, the DeepMIP simulations generally show a reduced spread of the global mean surface temperature response across the ensemble for a given atmospheric CO2 concentration as well as an increased climate sensitivity on average. An energy balance analysis of the model ensemble indicates that global mean warming in the Eocene compared with the preindustrial period mostly arises from decreases in emissivity due to the elevated CO2 concentration (and associated water vapour and long-wave cloud feedbacks), whereas the reduction in the Eocene in terms of the meridional temperature gradient is primarily due to emissivity and albedo changes owing to the non-CO2 boundary conditions (i.e. the removal of the Antarctic ice sheet and changes in vegetation). Three of the models (the Community Earth System Model, CESM; the Geophysical Fluid Dynamics Laboratory, GFDL, model; and the Norwegian Earth System Model, NorESM) show results that are consistent with the proxies in terms of the global mean temperature, meridional SST gradient, and CO2, without prescribing changes to model parameters. In addition, many of the models agree well with the first-order spatial patterns in the SST proxies. However, at a more regional scale, the models lack skill. In particular, the modelled anomalies are substantially lower than those indicated by the proxies in the southwest Pacific; here, modelled continental surface air temperature anomalies are more consistent with surface air temperature proxies, implying a possible inconsistency between marine and terrestrial temperatures in either the proxies or models in this region. Our aim is that the documentation of the large-scale features and model–data comparison presented herein will pave the way to further studies that explore aspects of the model simulations in more detail, for example the ocean circulation, hydrological cycle, and modes of variability, and encourage sensitivity studies to aspects such as paleogeography, orbital configuration, and aerosols.
OceanRep; Climate of... arrow_drop_down Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEA; HAL-IRDArticle . 2021License: CC BYFull-Text: https://hal.science/hal-03127486/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/cp-17-203-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 64 citations 64 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 12visibility views 12 download downloads 24 Powered bymore_vert OceanRep; Climate of... arrow_drop_down Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEA; HAL-IRDArticle . 2021License: CC BYFull-Text: https://hal.science/hal-03127486/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/cp-17-203-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Germany, France, France, France, United KingdomPublisher:Cambridge University Press (CUP) T J Heaton; E Bard; C Bronk Ramsey; M Butzin; C Hatté; K A Hughen; P Köhler; P J Reimer;doi: 10.1017/rdc.2022.66
ABSTRACT Radiocarbon (14C) concentrations in the oceans are different from those in the atmosphere. Understanding these ocean-atmospheric 14C differences is important both to estimate the calendar ages of samples which obtained their 14C in the marine environment, and to investigate the carbon cycle. The Marine20 radiocarbon age calibration curve is created to address these dual aims by providing a global-scale surface ocean record of radiocarbon from 55,000–0 cal yr BP that accounts for the smoothed response of the ocean to variations in atmospheric 14C production rates and factors out the effect of known changes in global-scale palaeoclimatic variables. The curve also serves as a baseline to study regional oceanic 14C variation. Marine20 offers substantial improvements over the previous Marine13 curve. In response to community questions, we provide a short intuitive guide, intended for the lay-reader, on the construction and use of the Marine20 calibration curve. We describe the choices behind the making of Marine20, as well as the similarities and differences compared with the earlier Marine calibration curves. We also describe how to use the Marine20 curve for calibration and how to estimate ΔR—the localized variation in the oceanic 14C levels due to regional factors which are not incorporated in the global-scale Marine20 curve. To aid understanding, illustrative worked examples are provided.
OceanRep arrow_drop_down Electronic Publication Information CenterArticle . 2023Data sources: Electronic Publication Information CenterHAL AMU; Mémoires en Sciences de l'Information et de la Communication; HAL-CEA; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04122800/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/rdc.2022.66&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert OceanRep arrow_drop_down Electronic Publication Information CenterArticle . 2023Data sources: Electronic Publication Information CenterHAL AMU; Mémoires en Sciences de l'Information et de la Communication; HAL-CEA; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04122800/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article 2012 Germany, France, Netherlands, France, GermanyPublisher:Copernicus GmbH Funded by:EC | EMIS, EC | PAST4FUTUREEC| EMIS ,EC| PAST4FUTURED. J. Lunt; A. Abe-Ouchi; P. Bakker; A. Berger; P. Braconnot; S. Charbit; N. Fischer; N. Herold; J. H. Jungclaus; V. C. Khon; U. Krebs-Kanzow; P. M. Langebroek; G. Lohmann; K. H. Nisancioglu; B. L. Otto-Bliesner; W. Park; M. Pfeiffer; S. J. Phipps; M. Prange; R. Rachmayani; H. Renssen; N. Rosenbloom; B. Schneider; E. J. Stone; K. Takahashi; W. Wei; Q. Yin; Z. S. Zhang;Abstract. The Last Interglaciation (∼130 to 116 ka) is a time period with a strong astronomically-induced seasonal forcing of insolation compared to modern. Proxy records indicate a significantly different climate to that of the modern, in particular Arctic summer warming and higher eustatic sea level. Because the forcings are relatively well constrained, it provides an opportunity to test numerical models which are used for future climate prediction. In this paper, we compile a set of climate model simulations of the early Last Interglaciation (130 to 125 ka), encompassing a range of model complexity. We compare the models to each other, and to a recently published compilation of Last Interglacial temperature estimates. We show that the annual mean response of the models is rather small, with no clear signal in many regions. However, the seasonal response is more robust, and there is significant agreement amongst models as to the regions of warming vs. cooling. However, the quantitative agreement of the models with data is poor, with the models in general underestimating the magnitude of response seen in the proxies. Taking possible seasonal biases in the proxies into account improves the agreement marginally, but the agreement is still far from perfect. However, a lack of uncertainty estimates in the data does not allow us to draw firm conclusions. Instead, this paper points to several ways in which both modelling and data could be improved, to allow a more robust model-data comparison.
OceanRep arrow_drop_down Electronic Publication Information CenterArticle . 2013Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/cpd-8-3657-2012&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 127 citations 127 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!more_vert OceanRep arrow_drop_down Electronic Publication Information CenterArticle . 2013Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/cpd-8-3657-2012&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2021 Germany, Italy, FrancePublisher:Copernicus GmbH Funded by:NSF | The Management and Operat...NSF| The Management and Operation of the National Center for Atmoshperic Research (NCAR)X. Shi; M. Werner; C. Krug; C. Krug; C. M. Brierley; A. Zhao; E. Igbinosa; E. Igbinosa; P. Braconnot; E. Brady; J. Cao; R. D'Agostino; J. Jungclaus; X. Liu; B. Otto-Bliesner; D. Sidorenko; R. Tomas; E. M. Volodin; H. Yang; Q. Zhang; W. Zheng; G. Lohmann; G. Lohmann;Abstract. Numerical modelling enables a comprehensive understanding not only of the Earth's system today, but also of the past. To date, a significant amount of time and effort has been devoted to paleoclimate modeling and analysis, which involves the latest and most advanced Paleoclimate Modelling Intercomparison Project phase 4 (PMIP4). The definition of seasonality, which is influenced by slow variations in the Earth's orbital parameters, plays a key role in determining the calculated seasonal cycle of the climate. In contrast to the classical calendar used today, where the lengths of the months and seasons are fixed, the angular calendar calculates the lengths of the months and seasons according to a fixed number of degrees along the Earth's orbit. When comparing simulation results for different time intervals, it is essential to account for the angular calendar to ensure that the data for comparison is from the same position along the Earth's orbit. Most models use the classical "fixed-length" calendar, which can lead to strong distortions of the monthly and seasonal values, especially for the climate of the past. Here, by analyzing daily outputs from multiple PMIP4 model simulations, we examine calendar effects on surface air temperature and precipitation under mid-Holocene, last interglacial, and pre-industrial climate conditions. We conclude that: (a) The largest cooling bias occurs in autumn when the classical calendar is applied for the mid-Holocene and last interglacial. (b) The sign of the temperature anomalies between the Last Interglacial and pre-industrial in boreal autumn can be reversed after the switch from classical to angular calendar, particularly over the Northern Hemisphere continents. (c) Precipitation over West Africa is overestimated in boreal summer and underestimated in boreal autumn when the "fixed-length" seasonal cycle is applied. (d) Finally, correcting the calendar based on the monthly model results can reduce the biases to a large extent, but not completely eliminate them. In addition, we examine the calendar effects in 3 transient simulations for 6–0 ka by AWI-ESM, MPI-ESM, and IPSL. We find significant discrepancies between adjusted and unadjusted temperature values over ice-free continents for both hemispheres in boreal autumn. While for other seasons the deviations are relatively small. A drying bias can be found in the summer monsoon precipitation in Africa (in the "fixed-length" calendar), whereby the magnitude of bias becomes smaller over time. Overall, our study underlines the importance of the application of calendar transformation in the analysis of climate simulations. Neglecting the calendar effects could lead to a profound artificial distortion of the calculated seasonal cycle of surface air temperature and precipitation. One important fact to be noted here is that the discrepancy in seasonality under different calendars is an analysis bias and is highly depends on the choice of the reference position/date (usually the vernal equinox, which is set to 31th March) on the Earth's ellipse around the sun. Different model groups may apply different reference dates, so ensuring a consistent reference date and seasonal definition is key when we compare results across multiple models.
Climate of the Past ... arrow_drop_down Climate of the Past (CP); IRIS - Institutional Research Information System of the University of TrentoArticle . 2022 . Peer-reviewedLicense: CC BYhttps://doi.org/10.5194/cp-202...Preprint . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefElectronic Publication Information CenterArticle . 2022Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/cp-2021-163&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Climate of the Past ... arrow_drop_down Climate of the Past (CP); IRIS - Institutional Research Information System of the University of TrentoArticle . 2022 . Peer-reviewedLicense: CC BYhttps://doi.org/10.5194/cp-202...Preprint . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefElectronic Publication Information CenterArticle . 2022Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/cp-2021-163&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 Germany, Germany, Netherlands, France, FrancePublisher:Copernicus GmbH Masa Kageyama; Sandy P. Harrison; Marie Kapsch; Marcus Lofverstrom; Juan M. Lora; Uwe Mikolajewicz; Sam Sherriff-Tadano; Tristan Vadsaria; Ayako Abe-Ouchi; Nathaelle Bouttes; Deepak Chandan; Lauren Gregoire; Ruza F. Ivanovic; Kenji Izumi; Allegra N. LeGrande; Fanny Lhardy; Gerrit Lohmann; Polina Morozova; Rumi Ohgaito; André Paul; W. Richard Peltier; Christopher J. Poulsen; Aurélien Quiquet; Didier M. Roche; Xiaoxu Shi; Jessica E. Tierney; Paul J. Valdes; Evgeny Volodin; Jiang Zhu;The Last Glacial Maximum (LGM, ∼ 21 000 years ago) has been a major focus for evaluating how well state-of-the-art climate models simulate climate changes as large as those expected in the future using paleoclimate reconstructions. A new generation of climate models has been used to generate LGM simulations as part of the Paleoclimate Modelling Intercomparison Project (PMIP) contribution to the Coupled Model Intercomparison Project (CMIP). Here, we provide a preliminary analysis and evaluation of the results of these LGM experiments (PMIP4, most of which are PMIP4-CMIP6) and compare them with the previous generation of simulations (PMIP3, most of which are PMIP3-CMIP5). We show that the global averages of the PMIP4 simulations span a larger range in terms of mean annual surface air temperature and mean annual precipitation compared to the PMIP3-CMIP5 simulations, with some PMIP4 simulations reaching a globally colder and drier state. However, the multi-model global cooling average is similar for the PMIP4 and PMIP3 ensembles, while the multi-model PMIP4 mean annual precipitation average is drier than the PMIP3 one. There are important differences in both atmospheric and oceanic circulations between the two sets of experiments, with the northern and southern jet streams being more poleward and the changes in the Atlantic Meridional Overturning Circulation being less pronounced in the PMIP4-CMIP6 simulations than in the PMIP3-CMIP5 simulations. Changes in simulated precipitation patterns are influenced by both temperature and circulation changes. Differences in simulated climate between individual models remain large. Therefore, although there are differences in the average behaviour across the two ensembles, the new simulation results are not fundamentally different from the PMIP3-CMIP5 results. Evaluation of large-scale climate features, such as land–sea contrast and polar amplification, confirms that the models capture these well and within the uncertainty of the paleoclimate reconstructions. Nevertheless, regional climate changes are less well simulated: the models underestimate extratropical cooling, particularly in winter, and precipitation changes. These results point to the utility of using paleoclimate simulations to understand the mechanisms of climate change and evaluate model performance.
OceanRep; Climate of... arrow_drop_down OceanRep; Climate of the Past (CP); Climate of the PastArticle . 2021 . Peer-reviewedLicense: CC BYElectronic Publication Information CenterArticle . 2021Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/cp-17-1065-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 94 citations 94 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 12visibility views 12 download downloads 7 Powered bymore_vert OceanRep; Climate of... arrow_drop_down OceanRep; Climate of the Past (CP); Climate of the PastArticle . 2021 . Peer-reviewedLicense: CC BYElectronic Publication Information CenterArticle . 2021Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/cp-17-1065-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2021 France, Germany, BrazilPublisher:Copernicus GmbH Funded by:UKRI | South Wales Industrial Cl..., NSF | NSFGEO-NERC: Quantifying ...UKRI| South Wales Industrial Cluster ,NSF| NSFGEO-NERC: Quantifying the Modern and Glacial Ocean's Carbon Cycle Including IsotopesS. Mulitza; T. Bickert; H. C. Bostock; H. C. Bostock; C. M. Chiessi; B. Donner; A. Govin; N. Harada; E. Huang; H. Johnstone; H. Kuhnert; M. Langner; F. Lamy; L. Lembke-Jene; L. Lisiecki; J. Lynch-Stieglitz; L. Max; M. Mohtadi; G. Mollenhauer; J. Muglia; D. Nürnberg; A. Paul; C. Rühlemann; J. Repschläger; R. Saraswat; A. Schmittner; E. L. Sikes; R. F. Spielhagen; R. Tiedemann;We present a global atlas of downcore foraminiferal oxygen and carbon isotope ratios available at https://doi.pangaea.de/10.1594/PANGAEA.936747 (Mulitza et al., 2021). The database contains 2,108 published and previously unpublished stable isotope downcore records with 362,067 stable isotope values of various planktonic and benthic species of foraminifera from 1,265 sediment cores. Age constraints are provided by 6,153 uncalibrated radiocarbon ages from 598 (47 %) of the cores. Each stable isotope and radiocarbon series is provided in a separate netCDF file containing fundamental meta data as attributes. The data set can be managed and explored with the free software tool PaleoDataView. The atlas will provide important data for paleoceanographic analyses and compilations, site surveys, or for teaching marine stratigraphy. The database can be updated with new records as they are generated, providing a live ongoing resource into the future.
OceanRep arrow_drop_down Earth System Science Data (ESSD); Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) - Universidade de São Paulo (USP)Article . 2022 . Peer-reviewedLicense: CC BYElectronic Publication Information CenterArticle . 2022Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-2021-337&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 5 citations 5 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert OceanRep arrow_drop_down Earth System Science Data (ESSD); Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) - Universidade de São Paulo (USP)Article . 2022 . Peer-reviewedLicense: CC BYElectronic Publication Information CenterArticle . 2022Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-2021-337&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 France, France, Germany, Norway, United Kingdom, France, France, United KingdomPublisher:Copernicus GmbH Funded by:UKRI | The Deep-Time Model Inter..., NSF | The Management and Operat..., NSF | Collaborative Research: I... +4 projectsUKRI| The Deep-Time Model Intercomparison Project (DeepMIP) ,NSF| The Management and Operation of the National Center for Atmoshperic Research (NCAR) ,NSF| Collaborative Research: Integrating proxies and Earth System Models to elucidate water cycle dynamics:Did global warming cause an enhanced hydrological cycle in the Eocene? ,UKRI| Reducing Greenhouse Climate Proxy Uncertainty ,EC| TGRES ,NSF| Collaborative Research: P2C2--Understanding the Role of a High-Latitude Convective Cloud Feedback in Equable and Future Climate Dynamics ,UKRI| SWEET:Super-Warm Early Eocene Temperatures and climate: understanding the response of the Earth to high CO2 through integrated modelling and dataDaniel J. Lunt; Fran Bragg; Wing Le Chan; David K. Hutchinson; Jean-Baptiste Ladant; Polina Morozova; Igor Niezgodzki; Sebastian Steinig; Zhongshi Zhang; Jiang Zhu; Ayako Abe-Ouchi; Eleni Anagnostou; Agatha M. de Boer; Helen K. Coxall; Yannick Donnadieu; Gavin L. Foster; Gordon N. Inglis; Gregor Knorr; Petra Langebroek; Caroline H Lear; Gerrit Lohmann; Christopher J. Poulsen; Pierre Sepulchre; Jessica E. Tierney; Paul J. Valdes; E. M. Volodin; Tom Dunkley Jones; Christopher J. Hollis; Matthew Huber; Bette L. Otto-Bliesner;We present results from an ensemble of eight climate models, each of which has carried out simulations of the early Eocene climate optimum (EECO, ∼ 50 million years ago). These simulations have been carried out in the framework of the Deep-Time Model Intercomparison Project (DeepMIP; http://www.deepmip.org, last access: 10 January 2021); thus, all models have been configured with the same paleogeographic and vegetation boundary conditions. The results indicate that these non-CO2 boundary conditions contribute between 3 and 5 ∘C to Eocene warmth. Compared with results from previous studies, the DeepMIP simulations generally show a reduced spread of the global mean surface temperature response across the ensemble for a given atmospheric CO2 concentration as well as an increased climate sensitivity on average. An energy balance analysis of the model ensemble indicates that global mean warming in the Eocene compared with the preindustrial period mostly arises from decreases in emissivity due to the elevated CO2 concentration (and associated water vapour and long-wave cloud feedbacks), whereas the reduction in the Eocene in terms of the meridional temperature gradient is primarily due to emissivity and albedo changes owing to the non-CO2 boundary conditions (i.e. the removal of the Antarctic ice sheet and changes in vegetation). Three of the models (the Community Earth System Model, CESM; the Geophysical Fluid Dynamics Laboratory, GFDL, model; and the Norwegian Earth System Model, NorESM) show results that are consistent with the proxies in terms of the global mean temperature, meridional SST gradient, and CO2, without prescribing changes to model parameters. In addition, many of the models agree well with the first-order spatial patterns in the SST proxies. However, at a more regional scale, the models lack skill. In particular, the modelled anomalies are substantially lower than those indicated by the proxies in the southwest Pacific; here, modelled continental surface air temperature anomalies are more consistent with surface air temperature proxies, implying a possible inconsistency between marine and terrestrial temperatures in either the proxies or models in this region. Our aim is that the documentation of the large-scale features and model–data comparison presented herein will pave the way to further studies that explore aspects of the model simulations in more detail, for example the ocean circulation, hydrological cycle, and modes of variability, and encourage sensitivity studies to aspects such as paleogeography, orbital configuration, and aerosols.
OceanRep; Climate of... arrow_drop_down Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEA; HAL-IRDArticle . 2021License: CC BYFull-Text: https://hal.science/hal-03127486/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/cp-17-203-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 64 citations 64 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 12visibility views 12 download downloads 24 Powered bymore_vert OceanRep; Climate of... arrow_drop_down Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEA; HAL-IRDArticle . 2021License: CC BYFull-Text: https://hal.science/hal-03127486/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/cp-17-203-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Germany, France, France, France, United KingdomPublisher:Cambridge University Press (CUP) T J Heaton; E Bard; C Bronk Ramsey; M Butzin; C Hatté; K A Hughen; P Köhler; P J Reimer;doi: 10.1017/rdc.2022.66
ABSTRACT Radiocarbon (14C) concentrations in the oceans are different from those in the atmosphere. Understanding these ocean-atmospheric 14C differences is important both to estimate the calendar ages of samples which obtained their 14C in the marine environment, and to investigate the carbon cycle. The Marine20 radiocarbon age calibration curve is created to address these dual aims by providing a global-scale surface ocean record of radiocarbon from 55,000–0 cal yr BP that accounts for the smoothed response of the ocean to variations in atmospheric 14C production rates and factors out the effect of known changes in global-scale palaeoclimatic variables. The curve also serves as a baseline to study regional oceanic 14C variation. Marine20 offers substantial improvements over the previous Marine13 curve. In response to community questions, we provide a short intuitive guide, intended for the lay-reader, on the construction and use of the Marine20 calibration curve. We describe the choices behind the making of Marine20, as well as the similarities and differences compared with the earlier Marine calibration curves. We also describe how to use the Marine20 curve for calibration and how to estimate ΔR—the localized variation in the oceanic 14C levels due to regional factors which are not incorporated in the global-scale Marine20 curve. To aid understanding, illustrative worked examples are provided.
OceanRep arrow_drop_down Electronic Publication Information CenterArticle . 2023Data sources: Electronic Publication Information CenterHAL AMU; Mémoires en Sciences de l'Information et de la Communication; HAL-CEA; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04122800/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/rdc.2022.66&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert OceanRep arrow_drop_down Electronic Publication Information CenterArticle . 2023Data sources: Electronic Publication Information CenterHAL AMU; Mémoires en Sciences de l'Information et de la Communication; HAL-CEA; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04122800/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/rdc.2022.66&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu