On the linkage between atmospheric circulation changes and Arctic climate change
Polar amplification is a prominent feature of recent and projected climate change. The Arctic region shows some of the strongest signs of climate change, including sea-ice retreat and temperatures increasing at twice the rate averaged over the northern hemisphere. A major concern for humanity is the...
Main Author: | |
---|---|
Format: | Doctoral or Postdoctoral Thesis |
Language: | English |
Published: |
UiT Norges arktiske universitet
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10037/25297 |
id |
ftunivtroemsoe:oai:munin.uit.no:10037/25297 |
---|---|
record_format |
openpolar |
spelling |
ftunivtroemsoe:oai:munin.uit.no:10037/25297 2023-05-15T14:28:08+02:00 On the linkage between atmospheric circulation changes and Arctic climate change Heiskanen, Tuomas Ilkka Henrikki 2022-06-10 https://hdl.handle.net/10037/25297 eng eng UiT Norges arktiske universitet UiT The Arctic University of Norway Paper I: Heiskanen, T., Graversen, R.G., Rydsaa, J.H. & Isachsen, P.E. (2020). Comparing wavelet and Fourier perspectives on the decomposition of meridional energy transport into synoptic and planetary components. Quarterly Journal of the Royal Meteorological Society, 146 (731), B, 2717– 2730. Also available in Munin at https://munin.uit.no/handle/10037/20229 . Paper II: Rydsaa, J.H., Graversen, R.G., Heiskanen, T.I.H. & Stoll, P.J. (2021). Changes in atmospheric latent energy transport into the Arctic: Planetary versus synoptic scales. Quarterly Journal of the Royal Meteorological Society, 147 (737), B, 2281– 2292. Also available in Munin at https://hdl.handle.net/10037/21437 . Paper III: Heiskanen, T., Graversen, R.G., Bintanja, R. & Goelzer, H. Abrupt increase in Greenland melt enhanced by wind changes. (Submitted manuscript). Paper IV: Heiskanen, T., Graversen, R.G., Bintanja, R. & Severijns, C. Length-scale decomposition of energy transport using machine learning techniques. (Submitted manuscript). 978-82-8236-479-9 https://hdl.handle.net/10037/25297 openAccess Copyright 2022 The Author(s) VDP::Mathematics and natural science: 400::Geosciences: 450::Meteorology: 453 VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Meteorologi: 453 VDP::Mathematics and natural science: 400::Geosciences: 450::Other geosciences: 469 VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Andre geofag: 469 DOKTOR-004 Doctoral thesis Doktorgradsavhandling 2022 ftunivtroemsoe 2022-06-01T22:58:57Z Polar amplification is a prominent feature of recent and projected climate change. The Arctic region shows some of the strongest signs of climate change, including sea-ice retreat and temperatures increasing at twice the rate averaged over the northern hemisphere. A major concern for humanity is the sea-level rise associated with the melting of the ice-sheets and glaciers due to climate change. The atmospheric circulation transports an amount of energy into to the Arctic equivalent that received by the Arctic from the Sun. Thus, the atmospheric energy transport is an important subject to study in the light of Arctic climate change. The atmospheric energy transport may be decomposed into contributions by planetary-scale waves such as Rossby waves and small-scale waves such as cyclones. The energy transport contributions by the different length-scale separated systems are shown to affect the Arctic differently. The meridional energy transport is separated into length-scale contributions using a Fourier-series-based approach. Here we evaluate this approach by comparing it to a novel wavelet-based length-scale decomposition, developed as a part of this project. Further a machine-learning-based length-scale decomposition approximator is developed. The approximator may be applied to climate model output to investigate future changes in the length-scale decomposed energy transport. From the comparisons it is apparent that both the Fourier and wavelet-based length-scale decompositions are skilled approaches, which produce physically meaningful decompositions. Additionally, the Fourier-based decomposition is further developed to yield a length-scale decomposition on a latitude-longitude grid. Once evaluated the Fourier and wavelet-based decompositions are applied to investigate the effects of recent climate change on the atmospheric energy transport, and how these changes affect the Arctic and the Greenland ice-sheet. Through these studies it is conspicuous that shifts of energy transport between length-scale components ... Doctoral or Postdoctoral Thesis Arctic Arctic Climate change Greenland Ice Sheet Sea ice University of Tromsø: Munin Open Research Archive Arctic Greenland |
institution |
Open Polar |
collection |
University of Tromsø: Munin Open Research Archive |
op_collection_id |
ftunivtroemsoe |
language |
English |
topic |
VDP::Mathematics and natural science: 400::Geosciences: 450::Meteorology: 453 VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Meteorologi: 453 VDP::Mathematics and natural science: 400::Geosciences: 450::Other geosciences: 469 VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Andre geofag: 469 DOKTOR-004 |
spellingShingle |
VDP::Mathematics and natural science: 400::Geosciences: 450::Meteorology: 453 VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Meteorologi: 453 VDP::Mathematics and natural science: 400::Geosciences: 450::Other geosciences: 469 VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Andre geofag: 469 DOKTOR-004 Heiskanen, Tuomas Ilkka Henrikki On the linkage between atmospheric circulation changes and Arctic climate change |
topic_facet |
VDP::Mathematics and natural science: 400::Geosciences: 450::Meteorology: 453 VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Meteorologi: 453 VDP::Mathematics and natural science: 400::Geosciences: 450::Other geosciences: 469 VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Andre geofag: 469 DOKTOR-004 |
description |
Polar amplification is a prominent feature of recent and projected climate change. The Arctic region shows some of the strongest signs of climate change, including sea-ice retreat and temperatures increasing at twice the rate averaged over the northern hemisphere. A major concern for humanity is the sea-level rise associated with the melting of the ice-sheets and glaciers due to climate change. The atmospheric circulation transports an amount of energy into to the Arctic equivalent that received by the Arctic from the Sun. Thus, the atmospheric energy transport is an important subject to study in the light of Arctic climate change. The atmospheric energy transport may be decomposed into contributions by planetary-scale waves such as Rossby waves and small-scale waves such as cyclones. The energy transport contributions by the different length-scale separated systems are shown to affect the Arctic differently. The meridional energy transport is separated into length-scale contributions using a Fourier-series-based approach. Here we evaluate this approach by comparing it to a novel wavelet-based length-scale decomposition, developed as a part of this project. Further a machine-learning-based length-scale decomposition approximator is developed. The approximator may be applied to climate model output to investigate future changes in the length-scale decomposed energy transport. From the comparisons it is apparent that both the Fourier and wavelet-based length-scale decompositions are skilled approaches, which produce physically meaningful decompositions. Additionally, the Fourier-based decomposition is further developed to yield a length-scale decomposition on a latitude-longitude grid. Once evaluated the Fourier and wavelet-based decompositions are applied to investigate the effects of recent climate change on the atmospheric energy transport, and how these changes affect the Arctic and the Greenland ice-sheet. Through these studies it is conspicuous that shifts of energy transport between length-scale components ... |
format |
Doctoral or Postdoctoral Thesis |
author |
Heiskanen, Tuomas Ilkka Henrikki |
author_facet |
Heiskanen, Tuomas Ilkka Henrikki |
author_sort |
Heiskanen, Tuomas Ilkka Henrikki |
title |
On the linkage between atmospheric circulation changes and Arctic climate change |
title_short |
On the linkage between atmospheric circulation changes and Arctic climate change |
title_full |
On the linkage between atmospheric circulation changes and Arctic climate change |
title_fullStr |
On the linkage between atmospheric circulation changes and Arctic climate change |
title_full_unstemmed |
On the linkage between atmospheric circulation changes and Arctic climate change |
title_sort |
on the linkage between atmospheric circulation changes and arctic climate change |
publisher |
UiT Norges arktiske universitet |
publishDate |
2022 |
url |
https://hdl.handle.net/10037/25297 |
geographic |
Arctic Greenland |
geographic_facet |
Arctic Greenland |
genre |
Arctic Arctic Climate change Greenland Ice Sheet Sea ice |
genre_facet |
Arctic Arctic Climate change Greenland Ice Sheet Sea ice |
op_relation |
Paper I: Heiskanen, T., Graversen, R.G., Rydsaa, J.H. & Isachsen, P.E. (2020). Comparing wavelet and Fourier perspectives on the decomposition of meridional energy transport into synoptic and planetary components. Quarterly Journal of the Royal Meteorological Society, 146 (731), B, 2717– 2730. Also available in Munin at https://munin.uit.no/handle/10037/20229 . Paper II: Rydsaa, J.H., Graversen, R.G., Heiskanen, T.I.H. & Stoll, P.J. (2021). Changes in atmospheric latent energy transport into the Arctic: Planetary versus synoptic scales. Quarterly Journal of the Royal Meteorological Society, 147 (737), B, 2281– 2292. Also available in Munin at https://hdl.handle.net/10037/21437 . Paper III: Heiskanen, T., Graversen, R.G., Bintanja, R. & Goelzer, H. Abrupt increase in Greenland melt enhanced by wind changes. (Submitted manuscript). Paper IV: Heiskanen, T., Graversen, R.G., Bintanja, R. & Severijns, C. Length-scale decomposition of energy transport using machine learning techniques. (Submitted manuscript). 978-82-8236-479-9 https://hdl.handle.net/10037/25297 |
op_rights |
openAccess Copyright 2022 The Author(s) |
_version_ |
1766302295008477184 |