contributor author | Lakshmanan, Valliappa | |
contributor author | Smith, Travis | |
date accessioned | 2017-06-09T16:32:57Z | |
date available | 2017-06-09T16:32:57Z | |
date copyright | 2010/04/01 | |
date issued | 2009 | |
identifier issn | 0882-8156 | |
identifier other | ams-69794.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4211502 | |
description abstract | Although storm-tracking algorithms are a key ingredient of nowcasting systems, evaluation of storm-tracking algorithms has been indirect, labor intensive, or nonspecific. A set of easily computable bulk statistics that can be used to directly evaluate the performance of tracking algorithms on specific characteristics is introduced. These statistics are used to evaluate five widely used storm-tracking algorithms on a diverse set of radar reflectivity data cases. Based on this objective evaluation, a storm-tracking algorithm is devised that performs consistently and better than any of the previously suggested techniques. | |
publisher | American Meteorological Society | |
title | An Objective Method of Evaluating and Devising Storm-Tracking Algorithms | |
type | Journal Paper | |
journal volume | 25 | |
journal issue | 2 | |
journal title | Weather and Forecasting | |
identifier doi | 10.1175/2009WAF2222330.1 | |
journal fristpage | 701 | |
journal lastpage | 709 | |
tree | Weather and Forecasting:;2009:;volume( 025 ):;issue: 002 | |
contenttype | Fulltext | |