Accessibility navigation


Systematic model forecast error in Rossby wave structure

Gray, S. L. ORCID: https://orcid.org/0000-0001-8658-362X, Dunning, C. M. ORCID: https://orcid.org/0000-0002-7311-7846, Methven, J. ORCID: https://orcid.org/0000-0002-7636-6872, Masato, G. and Chagnon, J. M. (2014) Systematic model forecast error in Rossby wave structure. Geophysical Research Letters, 41 (8). pp. 2979-2987. ISSN 0094-8276

[img]
Preview
Text (Open Access) - Published Version
· Available under License Creative Commons Attribution.
· Please see our End User Agreement before downloading.

1MB

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1002/2014GL059282

Abstract/Summary

Diabatic processes can alter Rossby wave structure; consequently errors arising from model processes propagate downstream. However, the chaotic spread of forecasts from initial condition uncertainty renders it difficult to trace back from root mean square forecast errors to model errors. Here diagnostics unaffected by phase errors are used, enabling investigation of systematic errors in Rossby waves in winter-season forecasts from three operational centers. Tropopause sharpness adjacent to ridges decreases with forecast lead time. It depends strongly on model resolution, even though models are examined on a common grid. Rossby wave amplitude reduces with lead time up to about five days, consistent with under-representation of diabatic modification and transport of air from the lower troposphere into upper-tropospheric ridges, and with too weak humidity gradients across the tropopause. However, amplitude also decreases when resolution is decreased. Further work is necessary to isolate the contribution from errors in the representation of diabatic processes.

Item Type:Article
Refereed:Yes
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:36404
Uncontrolled Keywords:potential vorticity;TIGGE data;predictability;diabatic processes
Publisher:American Geophysical Union

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation