In this paper, we report the statistical characteristics of Stratospheric Sudden Warming (SSW) events observed over a
low latitude station, Gadanki; 13.5°N, 79.2°E. The study uses 7 years (1998 to 2004) of quasi-continuous nighttime
LiDAR temperature measurements, which corresponds to 312 observations. The statistical characteristics are presented
in terms of major or minor, magnitude of warming, height of occurrence and stratopause descent with reference to the
mean climatological profile. The warming events are classified into major or minor warming with respect to the observed
warm temperature magnitude and reversal in the zonal wind direction in the polar region using National Centre for
Environmental Prediction (NCEP) reanalysis data. In total, 14 SSW events observed and have been classified into 2
(14.3 %) major and 12 (85.7 %) minor warming events. The magnitudes of warm temperatures with respect to the mean
winter temperature is in the range from 8.2 K to 18.1 K. Occurrence of SSWs are observed to accompany with the
descent of stratopause layer from 0 km to 6.3 km with respect to the calculated mean winter stratopause height.
LiDAR (Light Detection And Ranging) has emerged as one of the most powerful and versatile remote sensing
techniques for high resolution atmosphere studies. In most cases, the LiDAR backscattered signal is affected by various
noises and extracting the weak signal from the noisy backscatter is a fundamental problem in the LiDAR system. This
paper presents a new LiDAR de-noising technique which is based on wavelet transform. The technique is applied to the
backscattered signal obtained from low power laser transmission (order of few mJ). Results prove that the technique is
effective by retrieving even weak signals.
Conference Committee Involvement (4)
Lidar Remote Sensing for Environmental Monitoring XIV
14 October 2014 | Beijing, China
Lidar Remote Sensing for Environmental Monitoring XIII
29 October 2012 | Kyoto, Japan
Lidar Remote Sensing for Environmental Monitoring XII
21 August 2011 | San Diego, California, United States
Lidar Remote Sensing for Environmental Monitoring XI
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.