Wave Extremes in the North East Atlantic from Ensemble Forecasts
A method for estimating return values from ensembles of forecasts at advanced lead times is presented. Return values of significant wave height in the North-East Atlantic, the Norwegian Sea and the North Sea are computed from archived +240-h forecasts of the ECMWF ensemble prediction system (EPS) fr...
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ftdatacite:10.48550/arxiv.1304.1354 2023-05-15T17:38:21+02:00 Wave Extremes in the North East Atlantic from Ensemble Forecasts Breivik, Øyvind Aarnes, Ole Johan Bidlot, Jean-Raymond Carrasco, Ana Saetra, Øyvind 2013 https://dx.doi.org/10.48550/arxiv.1304.1354 https://arxiv.org/abs/1304.1354 unknown arXiv https://dx.doi.org/10.1175/jcli-d-12-00738.1 arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Atmospheric and Oceanic Physics physics.ao-ph FOS Physical sciences article-journal Article ScholarlyArticle Text 2013 ftdatacite https://doi.org/10.48550/arxiv.1304.1354 https://doi.org/10.1175/jcli-d-12-00738.1 2022-04-01T13:23:02Z A method for estimating return values from ensembles of forecasts at advanced lead times is presented. Return values of significant wave height in the North-East Atlantic, the Norwegian Sea and the North Sea are computed from archived +240-h forecasts of the ECMWF ensemble prediction system (EPS) from 1999 to 2009. We make three assumptions: First, each forecast is representative of a six-hour interval and collectively the data set is then comparable to a time period of 226 years. Second, the model climate matches the observed distribution, which we confirm by comparing with buoy data. Third, the ensemble members are sufficiently uncorrelated to be considered independent realizations of the model climate. We find anomaly correlations of 0.20, but peak events (>P97) are entirely uncorrelated. By comparing return values from individual members with return values of subsamples of the data set we also find that the estimates follow the same distribution and appear unaffected by correlations in the ensemble. The annual mean and variance over the 11-year archived period exhibit no significant departures from stationarity compared with a recent reforecast, i.e., there is no spurious trend due to model upgrades. EPS yields significantly higher return values than ERA-40 and ERA-Interim and is in good agreement with the high-resolution hindcast NORA10, except in the lee of unresolved islands where EPS overestimates and in enclosed seas where it is biased low. Confidence intervals are half the width of those found for ERA-Interim due to the magnitude of the data set. : 27 pp, 10 figures, J Climate (in press) Text North East Atlantic Norwegian Sea DataCite Metadata Store (German National Library of Science and Technology) Norwegian Sea |
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DataCite Metadata Store (German National Library of Science and Technology) |
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language |
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topic |
Atmospheric and Oceanic Physics physics.ao-ph FOS Physical sciences |
spellingShingle |
Atmospheric and Oceanic Physics physics.ao-ph FOS Physical sciences Breivik, Øyvind Aarnes, Ole Johan Bidlot, Jean-Raymond Carrasco, Ana Saetra, Øyvind Wave Extremes in the North East Atlantic from Ensemble Forecasts |
topic_facet |
Atmospheric and Oceanic Physics physics.ao-ph FOS Physical sciences |
description |
A method for estimating return values from ensembles of forecasts at advanced lead times is presented. Return values of significant wave height in the North-East Atlantic, the Norwegian Sea and the North Sea are computed from archived +240-h forecasts of the ECMWF ensemble prediction system (EPS) from 1999 to 2009. We make three assumptions: First, each forecast is representative of a six-hour interval and collectively the data set is then comparable to a time period of 226 years. Second, the model climate matches the observed distribution, which we confirm by comparing with buoy data. Third, the ensemble members are sufficiently uncorrelated to be considered independent realizations of the model climate. We find anomaly correlations of 0.20, but peak events (>P97) are entirely uncorrelated. By comparing return values from individual members with return values of subsamples of the data set we also find that the estimates follow the same distribution and appear unaffected by correlations in the ensemble. The annual mean and variance over the 11-year archived period exhibit no significant departures from stationarity compared with a recent reforecast, i.e., there is no spurious trend due to model upgrades. EPS yields significantly higher return values than ERA-40 and ERA-Interim and is in good agreement with the high-resolution hindcast NORA10, except in the lee of unresolved islands where EPS overestimates and in enclosed seas where it is biased low. Confidence intervals are half the width of those found for ERA-Interim due to the magnitude of the data set. : 27 pp, 10 figures, J Climate (in press) |
format |
Text |
author |
Breivik, Øyvind Aarnes, Ole Johan Bidlot, Jean-Raymond Carrasco, Ana Saetra, Øyvind |
author_facet |
Breivik, Øyvind Aarnes, Ole Johan Bidlot, Jean-Raymond Carrasco, Ana Saetra, Øyvind |
author_sort |
Breivik, Øyvind |
title |
Wave Extremes in the North East Atlantic from Ensemble Forecasts |
title_short |
Wave Extremes in the North East Atlantic from Ensemble Forecasts |
title_full |
Wave Extremes in the North East Atlantic from Ensemble Forecasts |
title_fullStr |
Wave Extremes in the North East Atlantic from Ensemble Forecasts |
title_full_unstemmed |
Wave Extremes in the North East Atlantic from Ensemble Forecasts |
title_sort |
wave extremes in the north east atlantic from ensemble forecasts |
publisher |
arXiv |
publishDate |
2013 |
url |
https://dx.doi.org/10.48550/arxiv.1304.1354 https://arxiv.org/abs/1304.1354 |
geographic |
Norwegian Sea |
geographic_facet |
Norwegian Sea |
genre |
North East Atlantic Norwegian Sea |
genre_facet |
North East Atlantic Norwegian Sea |
op_relation |
https://dx.doi.org/10.1175/jcli-d-12-00738.1 |
op_rights |
arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ |
op_doi |
https://doi.org/10.48550/arxiv.1304.1354 https://doi.org/10.1175/jcli-d-12-00738.1 |
_version_ |
1766138760484880384 |