Wave Extremes in the North East Atlantic from Ensemble Forecasts

TL;DR

This paper presents a method to estimate wave height return values using ensemble forecasts at long lead times, validating assumptions and comparing results with other datasets to assess accuracy and bias.

Contribution

It introduces a novel approach for estimating wave extremes from ensemble forecasts at 240-hour lead times, validating assumptions and comparing with observational data.

Findings

Ensemble forecasts at 240 hours provide reliable wave height return values.

Forecasts show higher return values than ERA datasets, aligning well with high-resolution hindcasts.

No significant non-stationarity detected over the 11-year period.

Abstract

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.