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http://dx.doi.org/10.5351/KJAS.2015.28.6.1275

An Object-Based Verification Method for Microscale Weather Analysis Module: Application to a Wind Speed Forecasting Model for the Korean Peninsula  

Kim, Hea-Jung (Department of Statistics, Dongguk University)
Kwak, Hwa-Ryun (Institute of Statistical Information and Technique, Dongguk University)
Kim, Sang-il (Center for Atmospheric Science and Earthquake Research)
Choi, Young-Jean (Center for Atmospheric Science and Earthquake Research)
Publication Information
The Korean Journal of Applied Statistics / v.28, no.6, 2015 , pp. 1275-1288 More about this Journal
Abstract
A microscale weather analysis module (about 1km or less) is a microscale numerical weather prediction model designed for operational forecasting and atmospheric research needs such as radiant energy, thermal energy, and humidity. The accuracy of the module is directly related to the usefulness and quality of real-time microscale weather information service in the metropolitan area. This paper suggests an object based verification method useful for spatio-temporal evaluation of the accuracy of the microscale weather analysis module. The method is a graphical method comprised of three steps that constructs a lattice field of evaluation statistics, merges and identifies objects, and evaluates the accuracy of the module. We develop lattice fields using various evaluation spatio-temporal statistics as well as an efficient object identification algorithm that conducts convolution, masking, and merging operations to the lattice fields. A real data application demonstrates the utility of the verification method.
Keywords
lattice field of evaluation statistics; microscale weather analysis module; object-based verification method; spatio-temporal data; time series statistic;
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