Track forecast: operational capability and new techniques - summary from the Tenth International Workshop on Tropical Cyclones (IWTC-10)

Conroy, A., Titley, H., Rivett, R., Feng, X. ORCID: https://orcid.org/0000-0003-4143-107X, Methven, J. ORCID: https://orcid.org/0000-0002-7636-6872, Hodges, K. ORCID: https://orcid.org/0000-0003-0894-229X, Brammer, A., Burton, A., Chakraborty, P., Chen, G., Cowan, L., Dunion, J. and Sarkar, A. (2023) Track forecast: operational capability and new techniques - summary from the Tenth International Workshop on Tropical Cyclones (IWTC-10). Tropical Cyclone Research and Review, 12 (1). pp. 64-80. ISSN 2225-6032 doi: 10.1016/j.tcrr.2023.05.002

Abstract/Summary

In this paper, we summarize findings from the Tenth International Workshop on Tropical Cyclones (IWTC-10) subgroup on operational track forecasting techniques and capability. The rate of improvement in the accuracy of official forecast tracks (OFTs) appears to be slowing down, at least for shorter lead times, where we may be approaching theoretical limits. Operational agencies continue to use consensus methods to produce the OFT with most continuing to rely on an unweighted consensus of four to nine NWP models. There continues to be limited use of weighted consensus techniques, which is likely a result of the skills and additional maintenance needed to support this approach. Improvements in the accuracy of ensemble mean tracks is leading to increased use of ensemble means in consensus tracks. Operational agencies are increasingly producing situation-dependent depictions of track uncertainty, rather than relying on a static depiction of track forecast certainty based on accuracy statistics from the preceding 5 years. This trend has been facilitated by the greater availability of ensemble NWP guidance, particularly vortex parameter files, and improved spread in ensembles. Despite improving spread-skill relationships, most ensemble NWP systems remain under spread. Hence many operational centers are looking to leverage "super-ensembles" (ensembles of ensembles) to ensure the full spread of location probability is captured. This is an important area of service development for multi-hazard impact-based warnings as it supports better decision making by emergency managers and the community in the face of uncertainty.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/111928
Identification Number/DOI	10.1016/j.tcrr.2023.05.002
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > NCAS Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	Elsevier
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