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contributor authorMajumdar, Sharanya J.
contributor authorTorn, Ryan D.
date accessioned2017-06-09T17:36:37Z
date available2017-06-09T17:36:37Z
date copyright2014/10/01
date issued2014
identifier issn0882-8156
identifier otherams-88029.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231764
description abstractrobabilistic forecasts of tropical cyclogenesis have been evaluated for two samples: a near-homogeneous sample of ECMWF and Weather Research and Forecasting (WRF) Model?ensemble Kalman filter (EnKF) ensemble forecasts during the National Science Foundation?s (NSF) Pre-Depression Investigation of Cloud-systems in the Tropics (PREDICT) field campaign (15 August?30 September 2010) and ECMWF ensemble forecasts during the 2010?12 Atlantic hurricane seasons. Quantitative criteria for tropical cyclone (TC) formation were first determined from model analyses based on threshold values of lower-tropospheric circulation, local thickness anomaly, and minimum sea level pressure. A binary verification was then performed for all ensemble forecasts with initial-time tropical disturbances. During the PREDICT period, the ECMWF and WRF?EnKF had similar verification statistics, with reliability diagrams of positive slope flatter than unity, and relative operating characteristic (ROC) curves that demonstrate skill. For the 2010?12 ECMWF ensemble forecasts, the equitable threat score was small and positive, with skill mostly lost after 5 days. The reliability diagrams for 1?5-day forecasts were monotonic increasing, though an overly large number of short-range ensemble forecasts predicted a low probability of a TC when a TC was verified. The ROC curves exhibited similar skill for forecasts out to 5 days. The reliability curves were sensitive to parameters such as time tolerance and threshold values, and insensitive to cases that originated from African easterly waves versus those that did not. Qualitative investigations revealed case-to-case variability in the probabilistic predictions. While the sample size was limited, the ensembles showed the potential for probabilistic prediction out to 5 days, though it appeared that the model struggled with developing a warm core in the short-range forecast.
publisherAmerican Meteorological Society
titleProbabilistic Verification of Global and Mesoscale Ensemble Forecasts of Tropical Cyclogenesis
typeJournal Paper
journal volume29
journal issue5
journal titleWeather and Forecasting
identifier doi10.1175/WAF-D-14-00028.1
journal fristpage1181
journal lastpage1198
treeWeather and Forecasting:;2014:;volume( 029 ):;issue: 005
contenttypeFulltext


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