Seasonal forecasting of winter wave activity on the Atlantic coast of Western Europe
The object of this thesis was to develop a new approach of seasonal ocean wave forecasting for eight spots along the Atlantic coast of Western Europe during the winter months of December to February (DJF) with the initial date of 1st November. A main goal was to investigate the relationship between...
Main Author: | |
---|---|
Format: | Master Thesis |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | https://resolver.obvsg.at/urn:nbn:at:at-ubi:1-2869 |
id |
ftunivinnsbruck:oai:diglib.uibk.ac.at/:819008 |
---|---|
record_format |
openpolar |
spelling |
ftunivinnsbruck:oai:diglib.uibk.ac.at/:819008 2023-10-01T03:57:54+02:00 Seasonal forecasting of winter wave activity on the Atlantic coast of Western Europe Schmassmann, Luzian Westeuropa 38.81 38.90 38.84 UT 5600 UT 6240 UI:GA:MG 2015 VI, 51 S. text/html graph. Darst. Kt. https://resolver.obvsg.at/urn:nbn:at:at-ubi:1-2869 eng eng vignette : https://diglib.uibk.ac.at/titlepage/urn/urn:nbn:at:at-ubi:1-2869/128 urn:nbn:at:at-ubi:1-2869 https://resolver.obvsg.at/urn:nbn:at:at-ubi:1-2869 local:990124126100203331 system:AC11359595 InC_1 Welle Wettervorhersage Winter Saison Schnee seasonal forecasting winter wave climate significant wave height wave peak period snow advance index (SAI) Northern Atlantic Oscillation ordered logistic regression ERA-Interim Text Thesis MasterThesis 2015 ftunivinnsbruck 2023-09-04T21:39:35Z The object of this thesis was to develop a new approach of seasonal ocean wave forecasting for eight spots along the Atlantic coast of Western Europe during the winter months of December to February (DJF) with the initial date of 1st November. A main goal was to investigate the relationship between the mean DJF-significant wave height H1/3 and peak period Tpeak, respectively and the nSAI, the reciprocal value of the snow advance index (SAI). This index summarizes the daily rate of change of the snow cover extent in Eurasia for the month of October. Further goals were to predict forecasts of mean winter wave heights and wave periods and to compute probabilistic forecasts of exceedance of different thresholds, where the nSAI, the seasonal forecasts of the European Centre for Medium-Range Weather Forecasts (ECMWF) and the combination of both were used as predictors. The data for the predictands within the statistical models come from the ERA- Interim reanalysis for the winter seasons between 1997/98 and 2013/2014 and the models were based on the linear and ordered logistic regression. Furthermore, these models were verified and compared to each other and climate by the use of the ranked probability skill score (RPSS). It was found that the north-easterly part of the North Atlantic showed values up to 0.75 and 0.69 for the correlation coefficients between the nSAI and the two mean DJF wave parameters H1/3 and Tpeak, respectively. For the southern part of the North Atlantic negative relationships between the nSAI and the two wave parameters were found. The nSAI turned out to be an appropriate model predictor for seasonal forecasting models of winter waves for the majority of the investigated spots. Good model performances were especially found in the north-easterly part of the North Atlantic, where increasing nSAIs lead to increasing predicted probabilities of exceedance of certain thresholds of the two wave parameters. The models with the nSAI as in- put often outperformed the climate and the models based on the ... Master Thesis North Atlantic University of Innsbruck: Digital Library (Universitäts- und Landesbibliothek Tirol) Wave Peak ENVELOPE(-45.605,-45.605,-60.610,-60.610) |
institution |
Open Polar |
collection |
University of Innsbruck: Digital Library (Universitäts- und Landesbibliothek Tirol) |
op_collection_id |
ftunivinnsbruck |
language |
English |
topic |
Welle Wettervorhersage Winter Saison Schnee seasonal forecasting winter wave climate significant wave height wave peak period snow advance index (SAI) Northern Atlantic Oscillation ordered logistic regression ERA-Interim |
spellingShingle |
Welle Wettervorhersage Winter Saison Schnee seasonal forecasting winter wave climate significant wave height wave peak period snow advance index (SAI) Northern Atlantic Oscillation ordered logistic regression ERA-Interim Schmassmann, Luzian Seasonal forecasting of winter wave activity on the Atlantic coast of Western Europe |
topic_facet |
Welle Wettervorhersage Winter Saison Schnee seasonal forecasting winter wave climate significant wave height wave peak period snow advance index (SAI) Northern Atlantic Oscillation ordered logistic regression ERA-Interim |
description |
The object of this thesis was to develop a new approach of seasonal ocean wave forecasting for eight spots along the Atlantic coast of Western Europe during the winter months of December to February (DJF) with the initial date of 1st November. A main goal was to investigate the relationship between the mean DJF-significant wave height H1/3 and peak period Tpeak, respectively and the nSAI, the reciprocal value of the snow advance index (SAI). This index summarizes the daily rate of change of the snow cover extent in Eurasia for the month of October. Further goals were to predict forecasts of mean winter wave heights and wave periods and to compute probabilistic forecasts of exceedance of different thresholds, where the nSAI, the seasonal forecasts of the European Centre for Medium-Range Weather Forecasts (ECMWF) and the combination of both were used as predictors. The data for the predictands within the statistical models come from the ERA- Interim reanalysis for the winter seasons between 1997/98 and 2013/2014 and the models were based on the linear and ordered logistic regression. Furthermore, these models were verified and compared to each other and climate by the use of the ranked probability skill score (RPSS). It was found that the north-easterly part of the North Atlantic showed values up to 0.75 and 0.69 for the correlation coefficients between the nSAI and the two mean DJF wave parameters H1/3 and Tpeak, respectively. For the southern part of the North Atlantic negative relationships between the nSAI and the two wave parameters were found. The nSAI turned out to be an appropriate model predictor for seasonal forecasting models of winter waves for the majority of the investigated spots. Good model performances were especially found in the north-easterly part of the North Atlantic, where increasing nSAIs lead to increasing predicted probabilities of exceedance of certain thresholds of the two wave parameters. The models with the nSAI as in- put often outperformed the climate and the models based on the ... |
format |
Master Thesis |
author |
Schmassmann, Luzian |
author_facet |
Schmassmann, Luzian |
author_sort |
Schmassmann, Luzian |
title |
Seasonal forecasting of winter wave activity on the Atlantic coast of Western Europe |
title_short |
Seasonal forecasting of winter wave activity on the Atlantic coast of Western Europe |
title_full |
Seasonal forecasting of winter wave activity on the Atlantic coast of Western Europe |
title_fullStr |
Seasonal forecasting of winter wave activity on the Atlantic coast of Western Europe |
title_full_unstemmed |
Seasonal forecasting of winter wave activity on the Atlantic coast of Western Europe |
title_sort |
seasonal forecasting of winter wave activity on the atlantic coast of western europe |
publishDate |
2015 |
url |
https://resolver.obvsg.at/urn:nbn:at:at-ubi:1-2869 |
op_coverage |
Westeuropa 38.81 38.90 38.84 UT 5600 UT 6240 UI:GA:MG |
long_lat |
ENVELOPE(-45.605,-45.605,-60.610,-60.610) |
geographic |
Wave Peak |
geographic_facet |
Wave Peak |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
vignette : https://diglib.uibk.ac.at/titlepage/urn/urn:nbn:at:at-ubi:1-2869/128 urn:nbn:at:at-ubi:1-2869 https://resolver.obvsg.at/urn:nbn:at:at-ubi:1-2869 local:990124126100203331 system:AC11359595 |
op_rights |
InC_1 |
_version_ |
1778530102964912128 |