TY  - CHAP
AU  - Chang-Jiang Zhang
AU  - Qi Luo
AU  - Yuan Chen
AU  - Juan Lu
AU  - Li-Cheng Xue and
Xiao-Qin Lu
ED  - Lei-Ming Ma
ED  - Zhang Chang-Jiang
ED  - Feng Zhang
Y1  - 2018-11-05
PY  - 2018
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  - 2024-04-23
ER  -