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Estimating 750 years of temperature variations and uncertainties in the Pyrenees by tree-ring reconstructions and climate simulations

  • Identification data

    Identifier: imarina:6566054
    Authors:
    Dorado Liñán IBüntgen UGonzález-Rouco FZorita EMontávez JGómez-Navarro JBrunet MHeinrich IHelle GGutiérrez E
    Abstract:
    Past temperature variations are usually inferred from proxy data or estimated using general circulation models. Comparisons between climate estimations derived from proxy records and from model simulations help to better understand mechanisms driving climate variations, and also offer the possibility to identify deficiencies in both approaches. This paper presents regional temperature reconstructions based on tree-ring maximum density series in the Pyrenees, and compares them with the output of global simulations for this region and with regional climate model simulations conducted for the target region. An ensemble of 24 reconstructions of May-to-September regional mean temperature was derived from 22 maximum density tree-ring site chronologies distributed over the larger Pyrenees area. Four different tree-ring series standardization procedures were applied, combining two detrending methods: 300-yr spline and the regional curve standardization (RCS). Additionally, different methodological variants for the regional chronology were generated by using three different aggregation methods. Calibration verification trials were performed in split periods and using two methods: regression and a simple variance matching. The resulting set of temperature reconstructions was compared with climate simulations performed with global (ECHO-G) and regional (MM5) climate models. The 24 variants of May-to-September temperature reconstructions reveal a generally coherent pattern of inter-annual to multi-centennial temperature variations in the Pyrenees region for the last 750 yr. However, some reconstructions display a marked positive trend for the entire length of the reconstruction, pointing out that the application of the RCS method to a suboptimal set of samples may lead to unreliabl
  • Others:

    Author, as appears in the article.: Dorado Liñán I; Büntgen U; González-Rouco F; Zorita E; Montávez J; Gómez-Navarro J; Brunet M; Heinrich I; Helle G; Gutiérrez E
    Department: Geografia
    URV's Author/s: Brunet India, Manuela Catalina
    Keywords: Variability Sensitivity Regression Northern-hemisphere Model Millennium Low-frequency signals Last 1000 years Iberian peninsula Density
    Abstract: Past temperature variations are usually inferred from proxy data or estimated using general circulation models. Comparisons between climate estimations derived from proxy records and from model simulations help to better understand mechanisms driving climate variations, and also offer the possibility to identify deficiencies in both approaches. This paper presents regional temperature reconstructions based on tree-ring maximum density series in the Pyrenees, and compares them with the output of global simulations for this region and with regional climate model simulations conducted for the target region. An ensemble of 24 reconstructions of May-to-September regional mean temperature was derived from 22 maximum density tree-ring site chronologies distributed over the larger Pyrenees area. Four different tree-ring series standardization procedures were applied, combining two detrending methods: 300-yr spline and the regional curve standardization (RCS). Additionally, different methodological variants for the regional chronology were generated by using three different aggregation methods. Calibration verification trials were performed in split periods and using two methods: regression and a simple variance matching. The resulting set of temperature reconstructions was compared with climate simulations performed with global (ECHO-G) and regional (MM5) climate models. The 24 variants of May-to-September temperature reconstructions reveal a generally coherent pattern of inter-annual to multi-centennial temperature variations in the Pyrenees region for the last 750 yr. However, some reconstructions display a marked positive trend for the entire length of the reconstruction, pointing out that the application of the RCS method to a suboptimal set of samples may lead to unreliable results. Climate model simulations agree with the tree-ring based reconstructions at multi-decadal time scales, suggesting solar variability and volcanism as the main factors controlling preindustrial mean temperature variations in the Pyrenees. Nevertheless, the comparison also highlights differences with the reconstructions, mainly in the amplitude of past temperature variations and in the 20th century trends. Neither proxy-based reconstructions nor model simulations are able to perfectly track the temperature variations of the instrumental record, suggesting that both approximations still need further improvements. © 2012 Author(s) . CC Attribution 3.0 License.
    Research group: Centre en Canvi Climàtic (C3)
    Thematic Areas: Stratigraphy Paleontology Meteorology & atmospheric sciences Global and planetary change Geosciences, multidisciplinary Geociências Ciências ambientais
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 18149324
    Author's mail: manola.brunet@urv.cat
    Author identifier: 0000-0002-9386-710X
    Record's date: 2023-02-19
    Papper version: info:eu-repo/semantics/publishedVersion
    Papper original source: Climate Of The Past. 8 (3): 919-933
    APA: Dorado Liñán I; Büntgen U; González-Rouco F; Zorita E; Montávez J; Gómez-Navarro J; Brunet M; Heinrich I; Helle G; Gutiérrez E (2012). Estimating 750 years of temperature variations and uncertainties in the Pyrenees by tree-ring reconstructions and climate simulations. Climate Of The Past, 8(3), 919-933. DOI: 10.5194/cp-8-919-2012
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2012
    Publication Type: Journal Publications
  • Keywords:

    Geosciences, Multidisciplinary,Global and Planetary Change,Meteorology & Atmospheric Sciences,Paleontology,Stratigraphy
    Variability
    Sensitivity
    Regression
    Northern-hemisphere
    Model
    Millennium
    Low-frequency signals
    Last 1000 years
    Iberian peninsula
    Density
    Stratigraphy
    Paleontology
    Meteorology & atmospheric sciences
    Global and planetary change
    Geosciences, multidisciplinary
    Geociências
    Ciências ambientais
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