Spatial variability of long-term trends of significant wave heights in the Black Sea
This study aims to estimate the spatial variability of the long-term trends of Significant Wave Height (SWH) in the Black Sea. A spectral wave model was used to hindcast 38 years of SWH forced by ECMWF ERA Interim wind fields. Long-term trends were estimated from normalized SWH (NSWH) data, for each...
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ftyildiztuniv:1f839a58-8b58-4c16-9130-83aad1112149 2024-09-15T17:45:29+00:00 Spatial variability of long-term trends of significant wave heights in the Black Sea Aydogan, Burak Ayat, Berna 2018-10-01T00:00:00Z https://avesis.yildiz.edu.tr/publication/details/1f839a58-8b58-4c16-9130-83aad1112149/oai https://doi.org/10.1016/j.apor.2018.07.001 eng eng 1f839a58-8b58-4c16-9130-83aad1112149 doi:10.1016/j.apor.2018.07.001 https://avesis.yildiz.edu.tr/publication/details/1f839a58-8b58-4c16-9130-83aad1112149/oai info:eu-repo/semantics/closedAccess info:eu-repo/semantics/article 2018 ftyildiztuniv https://doi.org/10.1016/j.apor.2018.07.001 2024-07-25T04:18:37Z This study aims to estimate the spatial variability of the long-term trends of Significant Wave Height (SWH) in the Black Sea. A spectral wave model was used to hindcast 38 years of SWH forced by ECMWF ERA Interim wind fields. Long-term trends were estimated from normalized SWH (NSWH) data, for each month separately, by using two non-parametric methodologies; Line of best fit and the Theil-Sen estimator, and then mapped to show their spatial variability. Maps were generated for both mean SWHs and 95th percentile SWHs, the latter is considered to reflect the trends of the severe sea states. The basin-averaged analysis was also carried out to investigate the general tendency of SWHs in the Black Sea. The significance of the trends was evaluated by using Mann-Kendall test. The annual mean SWH is found to be increasing (up to 1.6%/year) in the eastern part of the Black Sea while the western part has a negative trend (down to -1.2%/year). Long-term analysis of the 95th percentile SWHs revealed steeper trend slopes and higher statistical significance compared to the mean SWH trends, showing that storm SWHs have a higher tendency to increase than the mean SWHs. Statistically significant correlations between climate indices; North Atlantic Oscillation (NAO), Arctic Oscillation (AO), Antarctic Oscillation (AAO), Atlantic Multidecadal Oscillation (AMO), Pacific North American (PNA), East Atlantic (EA), East Atlantic/West Russia (EA/WR), Scandinavia (SCAND), Nino3 and the Black Sea wave fields were identified. Article in Journal/Newspaper Antarc* Antarctic North Atlantic North Atlantic oscillation Yıldız Technical University Research Information System Applied Ocean Research 79 20 35 |
institution |
Open Polar |
collection |
Yıldız Technical University Research Information System |
op_collection_id |
ftyildiztuniv |
language |
English |
description |
This study aims to estimate the spatial variability of the long-term trends of Significant Wave Height (SWH) in the Black Sea. A spectral wave model was used to hindcast 38 years of SWH forced by ECMWF ERA Interim wind fields. Long-term trends were estimated from normalized SWH (NSWH) data, for each month separately, by using two non-parametric methodologies; Line of best fit and the Theil-Sen estimator, and then mapped to show their spatial variability. Maps were generated for both mean SWHs and 95th percentile SWHs, the latter is considered to reflect the trends of the severe sea states. The basin-averaged analysis was also carried out to investigate the general tendency of SWHs in the Black Sea. The significance of the trends was evaluated by using Mann-Kendall test. The annual mean SWH is found to be increasing (up to 1.6%/year) in the eastern part of the Black Sea while the western part has a negative trend (down to -1.2%/year). Long-term analysis of the 95th percentile SWHs revealed steeper trend slopes and higher statistical significance compared to the mean SWH trends, showing that storm SWHs have a higher tendency to increase than the mean SWHs. Statistically significant correlations between climate indices; North Atlantic Oscillation (NAO), Arctic Oscillation (AO), Antarctic Oscillation (AAO), Atlantic Multidecadal Oscillation (AMO), Pacific North American (PNA), East Atlantic (EA), East Atlantic/West Russia (EA/WR), Scandinavia (SCAND), Nino3 and the Black Sea wave fields were identified. |
format |
Article in Journal/Newspaper |
author |
Aydogan, Burak Ayat, Berna |
spellingShingle |
Aydogan, Burak Ayat, Berna Spatial variability of long-term trends of significant wave heights in the Black Sea |
author_facet |
Aydogan, Burak Ayat, Berna |
author_sort |
Aydogan, Burak |
title |
Spatial variability of long-term trends of significant wave heights in the Black Sea |
title_short |
Spatial variability of long-term trends of significant wave heights in the Black Sea |
title_full |
Spatial variability of long-term trends of significant wave heights in the Black Sea |
title_fullStr |
Spatial variability of long-term trends of significant wave heights in the Black Sea |
title_full_unstemmed |
Spatial variability of long-term trends of significant wave heights in the Black Sea |
title_sort |
spatial variability of long-term trends of significant wave heights in the black sea |
publishDate |
2018 |
url |
https://avesis.yildiz.edu.tr/publication/details/1f839a58-8b58-4c16-9130-83aad1112149/oai https://doi.org/10.1016/j.apor.2018.07.001 |
genre |
Antarc* Antarctic North Atlantic North Atlantic oscillation |
genre_facet |
Antarc* Antarctic North Atlantic North Atlantic oscillation |
op_relation |
1f839a58-8b58-4c16-9130-83aad1112149 doi:10.1016/j.apor.2018.07.001 https://avesis.yildiz.edu.tr/publication/details/1f839a58-8b58-4c16-9130-83aad1112149/oai |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1016/j.apor.2018.07.001 |
container_title |
Applied Ocean Research |
container_volume |
79 |
container_start_page |
20 |
op_container_end_page |
35 |
_version_ |
1810493320889106432 |