Articles | Volume 3, issue 1
https://doi.org/10.5194/gchron-3-149-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gchron-3-149-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
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12 Mar 2021
Research article | Highlight paper |
| 12 Mar 2021
| 12 Mar 2021
geoChronR – an R package to model, analyze, and visualize age-uncertain data
School of Earth and Sustainability, Northern Arizona University, Flagstaff, AZ, USA
Julien Emile-Geay
Department of Earth Sciences, University of Southern California, Los Angeles, CA, USA
Deborah Khider
Information Sciences Institute, University of Southern California, Marina del Rey, CA, USA
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Our analysis of the Santovka sedimentary record in Slovakia uncovered two major climate shifts at 8.2 and 7.4 ka BP. These shifts likely impacted temperature and humidity, and/or air mass circulation, and were caused by the drying of the lake at 7.4 ka BP. The sedimentary infill provides important information on the region's past climate, and future research must focus on its impact on the last hunter gatherers and first farmers in the context of spreading agriculture in Europe.
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To look at climate over the past 12 000 years, we reconstruct spatial temperature using natural climate archives and information from model simulations. Our results show mild global mean warmth around 6000 years ago, which differs somewhat from past reconstructions. Undiagnosed seasonal biases in the data could explain some of the observed temperature change, but this still would not explain the large difference between many reconstructions and climate models over this period.
Stephanie H. Arcusa, Nicholas P. McKay, Charlotte Wiman, Sela Patterson, Samuel E. Munoz, and Marco A. Aquino-López
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Annually banded lake sediment can track environmental change with high resolution in locations where alternatives are not available. Yet, information about chronology is often affected by poor appearance. Traditional methods struggle with these records. To overcome this obstacle we demonstrate a Bayesian approach that combines information from radiocarbon dating and laminations on cores from Columbine Lake, Colorado, expanding possibilities for producing high-resolution records globally.
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Global mean surface temperatures are rising to levels unprecedented in over 100 000 years. This conclusion takes into account both recent global warming and likely future warming, which thereby enables a direct comparison with paleotemperature reconstructions on multi-century timescales.
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We present a curated database of western North American Holocene paleoclimate records, which have been screened on length, resolution, and geochronology. The database gathers paleoclimate time series that reflect temperature, hydroclimate, or circulation features from terrestrial and marine sites, spanning a region from Mexico to Alaska. This publicly accessible collection will facilitate a broad range of paleoclimate inquiry.
Chris S. M. Turney, Richard T. Jones, Nicholas P. McKay, Erik van Sebille, Zoë A. Thomas, Claus-Dieter Hillenbrand, and Christopher J. Fogwill
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Alice R. Paine, Joost Frieling, Timothy M. Shanahan, Tamsin A. Mather, Nicholas McKay, Stuart A. Robinson, David M. Pyle, Isabel M. Fendley, Ruth Kiely, and William D. Gosling
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Preprint archived
Short summary
Short summary
Our analysis of the Santovka sedimentary record in Slovakia uncovered two major climate shifts at 8.2 and 7.4 ka BP. These shifts likely impacted temperature and humidity, and/or air mass circulation, and were caused by the drying of the lake at 7.4 ka BP. The sedimentary infill provides important information on the region's past climate, and future research must focus on its impact on the last hunter gatherers and first farmers in the context of spreading agriculture in Europe.
Michael P. Erb, Nicholas P. McKay, Nathan Steiger, Sylvia Dee, Chris Hancock, Ruza F. Ivanovic, Lauren J. Gregoire, and Paul Valdes
Clim. Past, 18, 2599–2629, https://doi.org/10.5194/cp-18-2599-2022, https://doi.org/10.5194/cp-18-2599-2022, 2022
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Short summary
To look at climate over the past 12 000 years, we reconstruct spatial temperature using natural climate archives and information from model simulations. Our results show mild global mean warmth around 6000 years ago, which differs somewhat from past reconstructions. Undiagnosed seasonal biases in the data could explain some of the observed temperature change, but this still would not explain the large difference between many reconstructions and climate models over this period.
Stephanie H. Arcusa, Nicholas P. McKay, Charlotte Wiman, Sela Patterson, Samuel E. Munoz, and Marco A. Aquino-López
Geochronology, 4, 409–433, https://doi.org/10.5194/gchron-4-409-2022, https://doi.org/10.5194/gchron-4-409-2022, 2022
Short summary
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Annually banded lake sediment can track environmental change with high resolution in locations where alternatives are not available. Yet, information about chronology is often affected by poor appearance. Traditional methods struggle with these records. To overcome this obstacle we demonstrate a Bayesian approach that combines information from radiocarbon dating and laminations on cores from Columbine Lake, Colorado, expanding possibilities for producing high-resolution records globally.
Darrell S. Kaufman and Nicholas P. McKay
Clim. Past, 18, 911–917, https://doi.org/10.5194/cp-18-911-2022, https://doi.org/10.5194/cp-18-911-2022, 2022
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Global mean surface temperatures are rising to levels unprecedented in over 100 000 years. This conclusion takes into account both recent global warming and likely future warming, which thereby enables a direct comparison with paleotemperature reconstructions on multi-century timescales.
Cody C. Routson, Darrell S. Kaufman, Nicholas P. McKay, Michael P. Erb, Stéphanie H. Arcusa, Kendrick J. Brown, Matthew E. Kirby, Jeremiah P. Marsicek, R. Scott Anderson, Gonzalo Jiménez-Moreno, Jessica R. Rodysill, Matthew S. Lachniet, Sherilyn C. Fritz, Joseph R. Bennett, Michelle F. Goman, Sarah E. Metcalfe, Jennifer M. Galloway, Gerrit Schoups, David B. Wahl, Jesse L. Morris, Francisca Staines-Urías, Andria Dawson, Bryan N. Shuman, Daniel G. Gavin, Jeffrey S. Munroe, and Brian F. Cumming
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Short summary
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We present a curated database of western North American Holocene paleoclimate records, which have been screened on length, resolution, and geochronology. The database gathers paleoclimate time series that reflect temperature, hydroclimate, or circulation features from terrestrial and marine sites, spanning a region from Mexico to Alaska. This publicly accessible collection will facilitate a broad range of paleoclimate inquiry.
Chris S. M. Turney, Richard T. Jones, Nicholas P. McKay, Erik van Sebille, Zoë A. Thomas, Claus-Dieter Hillenbrand, and Christopher J. Fogwill
Earth Syst. Sci. Data, 12, 3341–3356, https://doi.org/10.5194/essd-12-3341-2020, https://doi.org/10.5194/essd-12-3341-2020, 2020
Short summary
Short summary
The Last Interglacial (129–116 ka) experienced global temperatures and sea levels higher than today. The direct contribution of warmer conditions to global sea level (thermosteric) are uncertain. We report a global network of sea surface temperatures. We find mean global annual temperature anomalies of 0.2 ± 0.1˚C and an early maximum peak of 0.9 ± 0.1˚C. Our reconstruction suggests warmer waters contributed on average 0.08 ± 0.1 m and a peak contribution of 0.39 ± 0.1 m to global sea level.
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Short summary
This paper describes geoChronR, an R package that streamlines the process of quantifying age uncertainties, propagating uncertainties through several common analyses, and visualizing the results. In addition to describing the structure and underlying theory of the package, we present five real-world use cases that illustrate common workflows in geoChronR. geoChronR is built on the Linked PaleoData framework, is open and extensible, and we welcome feedback and contributions from the community.
This paper describes geoChronR, an R package that streamlines the process of quantifying age...
