Application of Orthogonal Polynomial Fitting Method to Extract Gravity Wave Signals From AIRS Data Related to Typhoon Deep Convection

Gravity waves can influence weather and climate patterns on various temporal spatial scales in the atmosphere. Despite their recognized importance, there are clearly a lack of sufficient accurate observations from currently available satellite observing systems to satisfy requirements many users. Common method detect gravity is measure brightness temperature (BT) anomalies, which rely an initial efficient background removal method. Before be extracted Atmospheric Infrared Sounder raw radiances, Hoffmann Alexander (2010, http://doi.org/10.1029/2010jd014401) used fourth-order polynomial fitting (4PF) remove variations. In this study, we propose new strategy, optimal orthogonal (OPF) using Chebyshev Polynomials as basis functions, variations estimate BT perturbations. By extending classic 4PF fifth-order (5PF) combining Cressman interpolation method, some experiments designed validate feasibility superiority OPF The results show that limb-brightening effect extraction wave signals generated by typhoons. addition, what noticed appropriate orders have selected get more anomalies extract signals.