TY - CHAP A1 - Chang-Jiang Zhang A2 - Qi Luo A3 - Yuan Chen A4 - Juan Lu A5 - Li-Cheng Xue and Xiao-Qin Lu ED1 - Lei-Ming Ma ED2 - Zhang Chang-Jiang ED3 - Feng Zhang Y1 - 2019-05-02 PY - 2019 T1 - Tropical Cyclone Center Determination Algorithm by Texture and Gradient of Infrared Satellite Image N2 - Although the technology of observation and prediction of atmospheric systems draws upon many common fields, until now the interrelatedness and interdisciplinary nature of these research fields have scarcely been discussed in one volume containing fundamental theories, numerical methods, and operational application results. This is a book to provide in-depth explorations of the numerical methods developed to better understand atmospheric systems, which are introduced in eight chapters. Chapter 1 presents an efficient algorithm for tropical cyclone center determination by using satellite imagery. Chapter 2 aims to identify atmospheric systems with a new polarization remote sensing method. Chapters 3-8 place emphasis on enhancing the performance of numerical models in the prediction of atmospheric systems that should be valuable for researchers and forecasters. BT - Understanding of Atmospheric Systems with Efficient Numerical Methods for Observation and Prediction SP - Ch. 2 UR - https://doi.org/10.5772/intechopen.79831 DO - 10.5772/intechopen.79831 SN - 978-1-83880-112-0 PB - IntechOpen CY - Rijeka Y2 - 2020-08-08 ER -