Opportunity for Early Warnings of Typhoon Lekima from Two Global Ensemble Model Forecasts of Formation with 7-Day Intensities along Medium-Range Tracks

doi:10.3390/atmos11111162

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Title:	Opportunity for Early Warnings of Typhoon Lekima from Two Global Ensemble Model Forecasts of Formation with 7-Day Intensities along Medium-Range Tracks
Authors:	Tsai, Hsiao-Chung;Elsberry, Russell L.;Chin, Wei-Chia;Marchok, Timothy P.
Keywords:	tropical cyclone formation;track forecasts;intensity forecasts;early hydrological warnings
Date:	2020-10-27
Issue Date:	2020-11-16 12:11:03 (UTC+8)
Publisher:	MDPI
Abstract:	Typhoon Lekima (2019) with its heavy rains and floods is an excellent example of the need to provide the earliest possible warnings of the formation, intensification, and subsequent track before a typhoon makes landfall along a densely populated coast. To demonstrate an opportunity to provide early (10 days in advance) warnings of the threat of Typhoon Lekima, the ensemble models from the European Centre for Medium-Range Weather Forecasts and the National Centers for Environmental Predictions have been used to provide time-to-formation timing and positions along the weighted-mean vector motion track forecasts. In addition, the seven-day intensity forecasts after the formation using a weighted analog intensity prediction technique are provided. A detailed description of one European Center ensemble forecast is provided to describe the methodology for estimating the formation time and generating the intensity forecasts. Validation summary tables of the formation timing and position errors, and the intensity errors versus the Joint Typhoon Warning Center intensities, are presented. The availability of these ensemble forecasts would have been an opportunity to issue alerts/watches/warnings of Lekima even seven days in advance of when Lekima became a Tropical Storm. These ensemble forecasts also represent an opportunity to extend support on the 5–15 day timescale for the decision-making processes of water resource management and hydrological operations.
Relation:	Atmosphere 11(11), 1162
DOI:	10.3390/atmos11111162
Appears in Collections:	[Graduate Institute & Department of Water Resources and Environmental Engineering] Journal Article

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