NOAA/WDS Paleoclimatology - Paleoclimate Data-Model Comparison and the Role of Climate Forcings over the Past 1500 Years
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title: NOAA/WDS Paleoclimatology - Paleoclimate Data-Model Comparison and the Role of Climate Forcings over the Past 1500 Years
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date: 2014-03-18
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Anchor: DOI doi:10.25921/129e-8234
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abstract: This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Paleoclimatology Modeling. The data include parameters of climate forcing with a geographic location of Global. The time period coverage is from 1949 to -50 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
purpose: Computer simulations of past climate. Variables provided as model output are described by parameter keyword. In some cases the parameter keywords are a subset of all archived model output, and additional output is available upon request. Additional summary information can be found in the abstracts of papers listed in the dataset citations.
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keyword: Earth Science > Climate Indicators > Paleoclimate Indicators > Paleoclimate Reconstructions
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keyword: earth science > paleoclimate > climate forcing
keyword: earth science > paleoclimate > paleoclimatic modeling
keyword: earth science > paleoclimate > paleoclimatic modeling
keyword: earth science > paleoclimate > paleoclimatic modeling
keyword: earth science > paleoclimate > climate forcing
keyword: earth science > paleoclimate > paleoclimatic modeling
keyword: earth science > paleoclimate > paleoclimatic modeling
keyword: earth science > paleoclimate > paleoclimatic modeling
keyword: earth science > paleoclimate > climate forcing
keyword: earth science > paleoclimate > climate forcing
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keyword: earth science > paleoclimate > paleoclimatic modeling
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keyword: earth science > paleoclimate > model > atmosphere model
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keyword: What: carbon dioxide; Material: null
keyword: What: sea surface temperature; Material: null
keyword: What: age; Material: null
keyword: What: evaporation; Material: null
keyword: What: greenhouse gas forcing; Material: null
keyword: What: salinity; Material: sea surface
keyword: What: latitude; Material: null
keyword: What: surface air temperature; Material: null
keyword: What: solar irradiance; Material: null
keyword: What: volcanic forcing; Material: null
keyword: What: sea level pressure; Material: null
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keyword: What: precipitation; Material: null
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title: Paleoenvironmental Standard Terms (PaST) Thesaurus
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keyword: DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
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description: The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords.
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otherConstraints: Cite as: Phipps, S.J.; McGregor, H.V.; Gergis, J.; Gallant, A.J.E.; Neukom, R.; Stevenson, S.; Ackerley, D.; Brown, J.R.; Fischer, M.J.; van Ommen, T.D. (2014-03-18): NOAA/WDS Paleoclimatology - Paleoclimate Data-Model Comparison and the Role of Climate Forcings over the Past 1500 Years. [indicate subset used]. NOAA National Centers for Environmental Information. https://doi.org/10.25921/129e-8234. Accessed [date].
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otherConstraints: Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
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otherConstraints: Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
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otherConstraints: Please cite original publication, online resource, dataset and publication DOIs (where available), and date accessed when using downloaded data. If there is no publication information, please cite investigator, title, online resource, and date accessed. The appearance of external links associated with a dataset does not constitute endorsement by the Department of Commerce/National Oceanic and Atmospheric Administration of external Web sites or the information, products or services contained therein. For other than authorized activities, the Department of Commerce/NOAA does not exercise any editorial control over the information you may find at these locations. These links are provided consistent with the stated purpose of this Department of Commerce/NOAA Web site.
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title: Paleoclimate Data-Model Comparison and the Role of Climate Forcings over the Past 1500 Years
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date: 2013
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individualName: Steven J. Phipps, Helen V. McGregor, Joëlle Gergis, Ailie J.E. Gallant, Raphael Neukom, Samantha Stevenson, Duncan Ackerley, Josephine R. Brown, Matt J. Fischer, and Tas D. van Ommen
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organisationName: Journal of Climate
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description: Steven J. Phipps, Helen V. McGregor, Joëlle Gergis, Ailie J.E. Gallant, Raphael Neukom, Samantha Stevenson, Duncan Ackerley, Josephine R. Brown, Matt J. Fischer, and Tas D. van Ommen, 2013: Paleoclimate Data-Model Comparison and the Role of Climate Forcings over the Past 1500 Years. Journal of Climate, 26, 6915-6936, 10.1175/JCLI-D-12-00108.1
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description: Date Range: 1 CE to 2000 CE; Date Range: 1949 cal yr BP to -50 cal yr BP;
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supplementalInformation: STUDY NOTES: Simulations of the climate of the past 2000 years, conducted using the CSIRO Mk3L climate system model version 1.2. ABSTRACT SUPPLIED BY ORIGINATOR: The past 1500 years provide a valuable opportunity to study the response of the climate system to external forcings. However, the integration of paleoclimate proxies with climate modeling is critical to improving the understanding of climate dynamics. In this paper, a climate system model and proxy records are therefore used to study the role of natural and anthropogenic forcings in driving the global climate. The inverse and forward approaches to paleoclimate data-model comparison are applied, and sources of uncertainty are identified and discussed. In the first of two case studies, the climate model simulations are compared with multiproxy temperature reconstructions. Robust solar and volcanic signals are detected in Southern Hemisphere temperatures, with a possible volcanic signal detected in the Northern Hemisphere. The anthropogenic signal dominates during the industrial period. It is also found that seasonal and geographical biases may cause multiproxy reconstructions to overestimate the magnitude of the long-term preindustrial cooling trend. In the second case study, the model simulations are compared with a coral δ18O record from the central Pacific Ocean. It is found that greenhouse gases, solar irradiance, and volcanic eruptions all influence the mean state of the central Pacific, but there is no evidence that natural or anthropogenic forcings have any systematic impact on El Niño-Southern Oscillation. The proxy climate relationship is found to change over time, challenging the assumption of stationarity that underlies the interpretation of paleoclimate proxies. These case studies demonstrate the value of paleoclimate data-model comparison but also highlight the limitations of current techniques and demonstrate the need to develop alternative approaches.
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