Stable Water Isotope Characteristics of Recent Precipitation from Tiksi and Samoylov Island – Calibration of a Geoscientific Proxy for Northern Siberia

The Siberian Arctic is highly affected by global warming. By reconstructing the past climate evolution, the understanding of ongoing climate changes in Siberia can be improved. For this purpose, stable water isotopes (δ18O, δD) are important geoscientific proxies for climate reconstructions worldwid...

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Main Author: Spors, Sina
Format: Thesis
Language:unknown
Published: 2018
Subjects:
Online Access:https://epic.awi.de/id/eprint/49213/
https://hdl.handle.net/10013/epic.8e4c579a-0ff6-4b8d-b73b-7c1390bf4442
id ftawi:oai:epic.awi.de:49213
record_format openpolar
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description The Siberian Arctic is highly affected by global warming. By reconstructing the past climate evolution, the understanding of ongoing climate changes in Siberia can be improved. For this purpose, stable water isotopes (δ18O, δD) are important geoscientific proxies for climate reconstructions worldwide. In Northern Siberia, stable water isotopes have been applied to ground ice, but they can be only properly used when controls on the stable isotope composition of recent precipitation are understood. In this context, stable water isotopes were analysed for recent precipitation of two sites in Northern Siberia (Lena Delta region), the rather maritime Tiksi at the Laptev Sea coast (71° 38’ N, 128° 52’ E) and the rather fluvial Samoylov Island in the central Lena Delta (72° 22’ N, 126° 29’ E). The aim of this study was the identification of key features and processes controlling the local isotopic composition of precipitation (δ18O, δD, d excess), as a basis for the future interpretation of local geoscientific archives (such as ground ice). The data set comprised the isotopic composition of precipitation from Tiksi and Samoylov Island for a period from June 2004 to May 2017 and September 2013 to August 2017, respectively. Moreover, local meteorological data as well as backward trajectories were used to find the connection between stable water isotopes and meteorology, as well as specific moisture sources affecting the isotopic composition of precipitation. The observation period characterises the isotopic composition of precipitation of a rather warm phase of long-term temperature evolution. The study confirms that δ-values of precipitation in Tiksi and Samoylov Island are mainly affected by air temperature (r = 0.90 and r = 0.84, respectively) and that the d excess of Tiksi is a good reflection of changes in moisture source regions. The highly continental Arctic region is reflected by a clear seasonality in temperatures and δ-values (Δδ18O Tiksi = 19.4 ‰, Δδ18O Samoylov = 19.6 ‰), with a slightly lower seasonality for the maritime setting of Tiksi compared to Samoylov Island. Since other local differences are not obvious in the δ-values of precipitation, δ-values are assumed to be transferable from Tiksi to Samoylov Island. In contrast, the d excess shows a high variability without seasonality patterns. Differences in the d excess (e.g. mean d Tiksi = 3.8 ‰, mean d Samoylov = 5.7 ‰) point to slight differences in moisture source regions. The use of backward trajectories in combination with the seasonal mean d excess of Tiksi has demonstrated to be a good approach for moisture source identification. The Pacific Ocean could be for the first time identified as important moisture source region for Tiksi in winter and spring (e.g. 2004: 62 % and 33 %, respectively). The Atlantic Ocean is confirmed as main moisture source region in summer and autumn. Secondary moisture from open water bodies adds to the water balance in summer. Moreover, the similarity of dδ18O/dT gradients on the event to multi-annual timescale (0.4 – 0.6 ‰/°C) suggests that the current isotope temperature relationship could be suitable for climate reconstructions.
format Thesis
author Spors, Sina
spellingShingle Spors, Sina
Stable Water Isotope Characteristics of Recent Precipitation from Tiksi and Samoylov Island – Calibration of a Geoscientific Proxy for Northern Siberia
author_facet Spors, Sina
author_sort Spors, Sina
title Stable Water Isotope Characteristics of Recent Precipitation from Tiksi and Samoylov Island – Calibration of a Geoscientific Proxy for Northern Siberia
title_short Stable Water Isotope Characteristics of Recent Precipitation from Tiksi and Samoylov Island – Calibration of a Geoscientific Proxy for Northern Siberia
title_full Stable Water Isotope Characteristics of Recent Precipitation from Tiksi and Samoylov Island – Calibration of a Geoscientific Proxy for Northern Siberia
title_fullStr Stable Water Isotope Characteristics of Recent Precipitation from Tiksi and Samoylov Island – Calibration of a Geoscientific Proxy for Northern Siberia
title_full_unstemmed Stable Water Isotope Characteristics of Recent Precipitation from Tiksi and Samoylov Island – Calibration of a Geoscientific Proxy for Northern Siberia
title_sort stable water isotope characteristics of recent precipitation from tiksi and samoylov island – calibration of a geoscientific proxy for northern siberia
publishDate 2018
url https://epic.awi.de/id/eprint/49213/
https://hdl.handle.net/10013/epic.8e4c579a-0ff6-4b8d-b73b-7c1390bf4442
long_lat ENVELOPE(128.867,128.867,71.633,71.633)
geographic Arctic
Laptev Sea
Pacific
Tiksi
geographic_facet Arctic
Laptev Sea
Pacific
Tiksi
genre Arctic
Global warming
laptev
Laptev Sea
lena delta
Tiksi
Siberia
genre_facet Arctic
Global warming
laptev
Laptev Sea
lena delta
Tiksi
Siberia
op_source EPIC339 p.
op_relation Spors, S. (2018) Stable Water Isotope Characteristics of Recent Precipitation from Tiksi and Samoylov Island – Calibration of a Geoscientific Proxy for Northern Siberia , Bachelor thesis, Institut für Erd- und Umweltwissenschaften, Universität Potsdam. hdl:10013/epic.8e4c579a-0ff6-4b8d-b73b-7c1390bf4442
_version_ 1766340429835403264
spelling ftawi:oai:epic.awi.de:49213 2023-05-15T15:09:12+02:00 Stable Water Isotope Characteristics of Recent Precipitation from Tiksi and Samoylov Island – Calibration of a Geoscientific Proxy for Northern Siberia Spors, Sina 2018-09 https://epic.awi.de/id/eprint/49213/ https://hdl.handle.net/10013/epic.8e4c579a-0ff6-4b8d-b73b-7c1390bf4442 unknown Spors, S. (2018) Stable Water Isotope Characteristics of Recent Precipitation from Tiksi and Samoylov Island – Calibration of a Geoscientific Proxy for Northern Siberia , Bachelor thesis, Institut für Erd- und Umweltwissenschaften, Universität Potsdam. hdl:10013/epic.8e4c579a-0ff6-4b8d-b73b-7c1390bf4442 EPIC339 p. Thesis notRev 2018 ftawi 2021-12-24T15:44:34Z The Siberian Arctic is highly affected by global warming. By reconstructing the past climate evolution, the understanding of ongoing climate changes in Siberia can be improved. For this purpose, stable water isotopes (δ18O, δD) are important geoscientific proxies for climate reconstructions worldwide. In Northern Siberia, stable water isotopes have been applied to ground ice, but they can be only properly used when controls on the stable isotope composition of recent precipitation are understood. In this context, stable water isotopes were analysed for recent precipitation of two sites in Northern Siberia (Lena Delta region), the rather maritime Tiksi at the Laptev Sea coast (71° 38’ N, 128° 52’ E) and the rather fluvial Samoylov Island in the central Lena Delta (72° 22’ N, 126° 29’ E). The aim of this study was the identification of key features and processes controlling the local isotopic composition of precipitation (δ18O, δD, d excess), as a basis for the future interpretation of local geoscientific archives (such as ground ice). The data set comprised the isotopic composition of precipitation from Tiksi and Samoylov Island for a period from June 2004 to May 2017 and September 2013 to August 2017, respectively. Moreover, local meteorological data as well as backward trajectories were used to find the connection between stable water isotopes and meteorology, as well as specific moisture sources affecting the isotopic composition of precipitation. The observation period characterises the isotopic composition of precipitation of a rather warm phase of long-term temperature evolution. The study confirms that δ-values of precipitation in Tiksi and Samoylov Island are mainly affected by air temperature (r = 0.90 and r = 0.84, respectively) and that the d excess of Tiksi is a good reflection of changes in moisture source regions. The highly continental Arctic region is reflected by a clear seasonality in temperatures and δ-values (Δδ18O Tiksi = 19.4 ‰, Δδ18O Samoylov = 19.6 ‰), with a slightly lower seasonality for the maritime setting of Tiksi compared to Samoylov Island. Since other local differences are not obvious in the δ-values of precipitation, δ-values are assumed to be transferable from Tiksi to Samoylov Island. In contrast, the d excess shows a high variability without seasonality patterns. Differences in the d excess (e.g. mean d Tiksi = 3.8 ‰, mean d Samoylov = 5.7 ‰) point to slight differences in moisture source regions. The use of backward trajectories in combination with the seasonal mean d excess of Tiksi has demonstrated to be a good approach for moisture source identification. The Pacific Ocean could be for the first time identified as important moisture source region for Tiksi in winter and spring (e.g. 2004: 62 % and 33 %, respectively). The Atlantic Ocean is confirmed as main moisture source region in summer and autumn. Secondary moisture from open water bodies adds to the water balance in summer. Moreover, the similarity of dδ18O/dT gradients on the event to multi-annual timescale (0.4 – 0.6 ‰/°C) suggests that the current isotope temperature relationship could be suitable for climate reconstructions. Thesis Arctic Global warming laptev Laptev Sea lena delta Tiksi Siberia Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Arctic Laptev Sea Pacific Tiksi ENVELOPE(128.867,128.867,71.633,71.633)