Tropical cyclone-related precipitation over the northwest tropical Pacific in Met Office global operational forecasts

Peatman, S. C., Klingaman, N. P. ORCID: https://orcid.org/0000-0002-2927-9303 and Hodges, K. I. ORCID: https://orcid.org/0000-0003-0894-229X (2019) Tropical cyclone-related precipitation over the northwest tropical Pacific in Met Office global operational forecasts. Weather and Forecasting, 34 (4). pp. 923-941. ISSN 0882-8156 doi: 10.1175/WAF-D-19-0017.1

Abstract/Summary

The tropical west Pacific Ocean and the Philippines are often affected by tropical cyclones (TCs), with threats to human life and of severe economic damage. The performance of the UK Met Office global operational fore casts at predicting TC-related precipitation is examined between 2006 and 2017,the first time total TC rainfall has been analyzed in a long-term forecast dataset. All precipitation falling within 5° of a TC track point is assumed to be part of the TC rainbands. Forecasts are verified against TC tracks from the JRA-55 reanalysis and precipitation from TRMM 3B42. In composites from the forecasts, the total precipitation (TC and non-TC) is too high and the TC-related precipitation is too low, over both ocean and the Philippines. These biases exist all year round and generally worsen with lead time, but have improved in recent years with upgrades to the forecasting system. Bi ases in TC-related precipitation in the Philippines are attributable mainly to TC lifetime being too short over land and ocean; and, over land, possibly to individual TCs producing too little rain. There are considerable biases in predicted large-scale conditions related to TC intensification, particularly too little lower-troposphere relative humidity and too strong vertical wind shear. The shear appears to have little impact on the amount of TC precipitation, but dry biases in humidity are consistent with dry biases in TC rainfall. The forecast system accurately reproduces the impact of the MJO on TC precip itation, relative to the forecasts’ own climatology, potentially providing the opportunity for predictability out to several weeks.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/83752
Item Type	Article
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > NCAS Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	American Meteorological Society
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