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http://dx.doi.org/10.7780/kjrs.2021.37.5.1.5

The Impact of Spatio-temporal Resolution of GEO-KOMPSAT-2A Rapid Scan Imagery on the Retrieval of Mesoscale Atmospheric Motion Vector  

Kim, Hee-Ae (Satellite Analysis Division, National Meteorological Satellite Center)
Chung, Sung-Rae (Satellite Analysis Division, National Meteorological Satellite Center)
Oh, Soo Min (Center for Theoretical Physics, Seoul National University)
Lee, Byung-Il (Satellite Analysis Division, National Meteorological Satellite Center)
Shin, In-Chul (Satellite Analysis Division, National Meteorological Satellite Center)
Publication Information
Korean Journal of Remote Sensing / v.37, no.5_1, 2021 , pp. 885-901 More about this Journal
Abstract
This paper illustratesthe impact of the temporal gap between satellite images and targetsize in mesoscale atmospheric motion vector (AMV) algorithm. A test has been performed using GEO-KOMPSAT-2A (GK2A) rapid-scan data sets with a temporal gap varying between 2 and 10 minutes and a targetsize between 8×8 and 40×40. Resultsshow the variation of the number of AMVs produced, mean AMV speed, and validation scores as a function of temporal gap and target size. As a results, it was confirmed that the change in the number of vectors and the normalized root-mean squared vector difference (NRMSVD) became more pronounced when smaller targets are used. In addition, it was advantageous to use shorter temporal gap and smaller target size for the AMV calculation in the lower layer, where the average speed is low and the spatio-temporal scale of atmospheric phenomena is small. The temporal gap and the targetsize are closely related to the spatial and temporalscale of the atmospheric circulation to be observed with AMVs. Thus, selecting the target size and temporal gap for an optimum calculation of AMVsrequires considering them. This paper recommendsthat the optimized configuration to be used operationally for the near-real time analysis of mesoscale meteorological phenomena is 4-min temporal gap and 16×16 pixel target size, respectively.
Keywords
GEO-KOMPSAT-2A; mesoscale atmospheric motion vector; temporal gap; target size;
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