SUMMARY Singular-value decomposition (SVD) analysis is employed to study flow-dependent forecast errors. The results presented are based on ECMWF operational forecasts and verifying analysis of 500 hPa heights for the most recent seven winter periods. Beyond forecast day 3 the flow-dependent errors are mainly localized over the Atlantic sector and are associated with the North Atlantic Oscillation-(NAO)-like circulation anomalies. The forecasts systematically underestimate the intensity of pressure anomalies centred over Iceland with the effect of reducing the anomalous westerly/easterly flow over the eastern north Atlantic/western Europe. The flowdependent component of the errors explains about 10% of the total forecast-error variance. However, since it is associated with the NAO mode that dominates the variability of the European weather on longer time-scales, it is essential to identify the model limitations in predicting this flow anomaly in order to guide future work on improving forecasts over Europe.The relationship between forecast-error variability and NAO fluctuations is effectively described by an SVD analysis performed on fields of forecast-error magnitude and analyses. Regions with large (small) forecast-error anomalies are located over the maximum of the anomalous westerly (easterly) jet, while on the flanks of the jet the error anomaly is expected to be minimum/maximum.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.