Reconstructing Summer Precipitation with MXD Data from Pinus sylvestris Growing in the Stockholm Archipelago

Maximum latewood density (MXD) chronologies have been widely used to reconstruct summer temperature variations. Precipitation signals inferred from MXD data are, however, rather scarce. In this study, we assess the potential of using MXD data derived from Scots pine ( Pinus sylvestris L. ) growing i...

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Published in:Atmosphere
Main Authors: Eva Rocha, Björn E. Gunnarson, Steffen Holzkämper
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2020
Subjects:
Online Access:https://doi.org/10.3390/atmos11080790
https://doaj.org/article/c899699418d24a4f8c4073dd46d94781
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spelling ftdoajarticles:oai:doaj.org/article:c899699418d24a4f8c4073dd46d94781 2023-05-15T17:34:29+02:00 Reconstructing Summer Precipitation with MXD Data from Pinus sylvestris Growing in the Stockholm Archipelago Eva Rocha Björn E. Gunnarson Steffen Holzkämper 2020-07-01T00:00:00Z https://doi.org/10.3390/atmos11080790 https://doaj.org/article/c899699418d24a4f8c4073dd46d94781 EN eng MDPI AG https://www.mdpi.com/2073-4433/11/8/790 https://doaj.org/toc/2073-4433 doi:10.3390/atmos11080790 2073-4433 https://doaj.org/article/c899699418d24a4f8c4073dd46d94781 Atmosphere, Vol 11, Iss 790, p 790 (2020) dendroclimatology maximum latewood density Sweden precipitation reconstruction light rings Meteorology. Climatology QC851-999 article 2020 ftdoajarticles https://doi.org/10.3390/atmos11080790 2022-12-31T00:06:15Z Maximum latewood density (MXD) chronologies have been widely used to reconstruct summer temperature variations. Precipitation signals inferred from MXD data are, however, rather scarce. In this study, we assess the potential of using MXD data derived from Scots pine ( Pinus sylvestris L. ) growing in the Stockholm archipelago (Sweden) to reconstruct past precipitation variability. In this area, slow-growing pine trees emerge on flat plateaus of bedrock outcrops with thin or absent soil layers and are, therefore, sensitive to moisture variability. A 268-year-long MXD chronology was produced, and climate–growth relationships show a significant and robust correlation with May–July precipitation (P MJJ r = 0.64, p < 0.01). The MXD based May–July precipitation reconstruction covers the period 1750–2018 CE and explains 41% of the variance ( r 2 ) of the observed precipitation (1985–2018). The reconstruction suggests that the region has experienced more pluvial phases than drought conditions since the 1750s. The latter half of the 18th century was the wettest and the first half of the 19th century the driest. Climate analysis of “light rings” (LR), latewood layers of extreme low-density cells, finds their occurrence often coincides with significantly dry (<41 mm precipitation) and warmer (1–2 °C above average temperature), May–July conditions. Our analysis suggests that these extremes may be triggered by the summer North Atlantic Oscillation (SNAO). Article in Journal/Newspaper North Atlantic North Atlantic oscillation Directory of Open Access Journals: DOAJ Articles Atmosphere 11 8 790
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic dendroclimatology
maximum latewood density
Sweden
precipitation reconstruction
light rings
Meteorology. Climatology
QC851-999
spellingShingle dendroclimatology
maximum latewood density
Sweden
precipitation reconstruction
light rings
Meteorology. Climatology
QC851-999
Eva Rocha
Björn E. Gunnarson
Steffen Holzkämper
Reconstructing Summer Precipitation with MXD Data from Pinus sylvestris Growing in the Stockholm Archipelago
topic_facet dendroclimatology
maximum latewood density
Sweden
precipitation reconstruction
light rings
Meteorology. Climatology
QC851-999
description Maximum latewood density (MXD) chronologies have been widely used to reconstruct summer temperature variations. Precipitation signals inferred from MXD data are, however, rather scarce. In this study, we assess the potential of using MXD data derived from Scots pine ( Pinus sylvestris L. ) growing in the Stockholm archipelago (Sweden) to reconstruct past precipitation variability. In this area, slow-growing pine trees emerge on flat plateaus of bedrock outcrops with thin or absent soil layers and are, therefore, sensitive to moisture variability. A 268-year-long MXD chronology was produced, and climate–growth relationships show a significant and robust correlation with May–July precipitation (P MJJ r = 0.64, p < 0.01). The MXD based May–July precipitation reconstruction covers the period 1750–2018 CE and explains 41% of the variance ( r 2 ) of the observed precipitation (1985–2018). The reconstruction suggests that the region has experienced more pluvial phases than drought conditions since the 1750s. The latter half of the 18th century was the wettest and the first half of the 19th century the driest. Climate analysis of “light rings” (LR), latewood layers of extreme low-density cells, finds their occurrence often coincides with significantly dry (<41 mm precipitation) and warmer (1–2 °C above average temperature), May–July conditions. Our analysis suggests that these extremes may be triggered by the summer North Atlantic Oscillation (SNAO).
format Article in Journal/Newspaper
author Eva Rocha
Björn E. Gunnarson
Steffen Holzkämper
author_facet Eva Rocha
Björn E. Gunnarson
Steffen Holzkämper
author_sort Eva Rocha
title Reconstructing Summer Precipitation with MXD Data from Pinus sylvestris Growing in the Stockholm Archipelago
title_short Reconstructing Summer Precipitation with MXD Data from Pinus sylvestris Growing in the Stockholm Archipelago
title_full Reconstructing Summer Precipitation with MXD Data from Pinus sylvestris Growing in the Stockholm Archipelago
title_fullStr Reconstructing Summer Precipitation with MXD Data from Pinus sylvestris Growing in the Stockholm Archipelago
title_full_unstemmed Reconstructing Summer Precipitation with MXD Data from Pinus sylvestris Growing in the Stockholm Archipelago
title_sort reconstructing summer precipitation with mxd data from pinus sylvestris growing in the stockholm archipelago
publisher MDPI AG
publishDate 2020
url https://doi.org/10.3390/atmos11080790
https://doaj.org/article/c899699418d24a4f8c4073dd46d94781
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source Atmosphere, Vol 11, Iss 790, p 790 (2020)
op_relation https://www.mdpi.com/2073-4433/11/8/790
https://doaj.org/toc/2073-4433
doi:10.3390/atmos11080790
2073-4433
https://doaj.org/article/c899699418d24a4f8c4073dd46d94781
op_doi https://doi.org/10.3390/atmos11080790
container_title Atmosphere
container_volume 11
container_issue 8
container_start_page 790
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