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Surface Wind Regionalization Based on Similarity of Time-series Wind Vectors
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 Title & Authors
Surface Wind Regionalization Based on Similarity of Time-series Wind Vectors
Kim, Jinsol; Kim, Hyun-Goo; Park, Hyeong-Dong;
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In the complex terrain where local wind systems are formed, accurate understanding of regional wind variability is required for wind resource assessment. In this paper, cluster analysis based on the similarity of time-series wind vector was applied to classify wind regions with similar wind characteristics and the meteorological validity of regionalization method was evaluated. Wind regions in Jeju Island and Busan were classified using the wind resource map of Korea created by a mesoscale numerical weather prediction modeling. The evaluation was performed by comparing wind speed, wind direction, and wind variability of each wind region. Wind characteristics, such as mean wind speed and prevailing wind direction, in the same wind region were similar and wind characteristics in different wind regions were meteor-statistically distinct. It was able to identify a singular wind region at the top area of Mt. Halla using the inconsistency of wind direction variability. Furthermore, it was found that the regionalization results correspond with the topographic features of Jeju Island and Busan, showing the validity.
Wind regionalization;Wind variability;Wind characteristics;Cluster analysis;Wind resource map of Korea;
 Cited by
Berens, P. (2000) CircStat: A MATLAB Toolbox for circular statistics. Journal of Statistical Software 31, 1-21.

Davis, R.E., Kalkstein, L. (1990) Development of an automated spatial synoptic climatological classification. International Journal of Climate 10, 769-794. crossref(new window)

Davis, R.E., Walker, D.R. (1992) An upper-air synoptic climatology of the Western United States. Journal of Climate 5, 1449-1467. crossref(new window)

Green, M.C., Myrup, L.O., Flocchini, R.G. (1992) A method for classification of wind field patterns and its application to southern California. International Journal of Climatology 12, 111-135. crossref(new window)

Guerra, L., Robles, V., Bielza, C., Larranaga, P. (2012) A comparison of clustering quality indices using outliers and noise. Intelligent Data Analysis 16, 703-715

Jimenez, P.A., Gonzalez-Rouco, J.F., Montavez, J.P., Navarro, J., Garcia-Bustamante, E., Valero, F. (2008) Surface wind regionalization in complex terrain. Journal of Applied Meteorology and Climatology 47, 308-325. crossref(new window)

Jimenez, P.A., Gonzalez-Rouco, J.F., Montavez, J.P., Garcia-Bustamante, E., Navarro, J. (2009) Climatology of wind patterns in the northeast of the Iberian Peninsula. International Journal of Climatology 29, 501-525. crossref(new window)

Jimenez, P.A., Gonzalez-Rouco, J.F., Garcia-Bustamante, E., Navarro, J., Montavez, J.P., Valero, F., Arellano, J.V., Dudhia, J., Munoz-Roldan, A. (2010) Surface wind regionalization over complex terrain: Evaluation and analysis of a high-resolution WRF simulation. Journal of Applied Meteorology and Climatology 49, 268-287. crossref(new window)

Jung, W.-S., Lee, H.-W., Leem, H.-H. (2007) Analysis of local wind in Busan metropolitan area according to wind sector division - Part II: Detailed wind information using a local-scale atmospheric circulation model. Journal of the Environmental Sciences 16(1), 103-119. crossref(new window)

Jung, W.-S., Lee, H.-W., Park, J.-G., Kim, H.-G., Kim, E.-B., Choi, H.-J., Kim, D.-H., Kim, M.-J. (2009) Classification of wind sector for assessment of wind resource and establishment of a wind map in South Korea. Journal of the Environmental Sciences 18(8), 889-910.

Kaufmann, P., Weber, R.O. (1996) Classification of mesoscale wind fields in the MISTRAL field experiment. Journal of Applied Meteorology 35, 1963-1979. crossref(new window)

Kaufmann, P., Whiteman, C.D. (1999) Cluster-Analysis Classification of wintertime wind patterns in the Grand Canyon region. Journal of Applied Meteorology 38, 1131-1147. crossref(new window)

Kim, H.-G., Jang, M.-S., Lee, E.-J. (2008) Meteor-Statistical analysis for establishment of Jejudo wind resource database. Journal of the Environmental Sciences 17(6), 591-599. crossref(new window)

Kim, H.-G., Lee, H.-W., Lee, S.-H. (2011) Development of the Korea wind resource map and suitability assessment system for offshore wind farm. Wind Energy Journal 2(2), 17-23.

Kim, H.-G., Hwang, H.-J., Lee, S.-H., Lee, H.-W. (2014) Evaluation of SAR wind retrieval algorithms in offshore areas of the Korean Peninsula. Renewable Energy 65, 161-168. crossref(new window)

Lee, H.-W., Kim, M.-J., Kim, D.-H., Kim, H.-G., Lee, S.-H. (2009a) Investigation of the assimilated surface wind characteristics for the evaluation of wind resources. Journal of Korean Society for Atmospheric Environment 25(1), 1-14. crossref(new window)

Lee, S.-H., Lee, H.-W., Kim, D.-H., Kim, M.-J., Kim, H.-G. (2009b) Numerical study on the impact of the spatial resolution of wind map in the Korean Peninsula on the accuracy of wind energy resources estimation. Journal of the Environmental Sciences 18(8), 885-897. crossref(new window)

Weber, R.O., Kaufmann, P. (1995) Automated classification scheme for wind fields. Journal of Applied Meteorology 34, 1133-1141. crossref(new window)