Retrieval of Atmospheric Temperature Profiles from AMSU-A Measurement Using Artificial Neural Network and Its Applications for Estimating Tropical Cyclone Intensity for ‘Gonu’ and ‘Nargis’ - Monitoring and Prediction of Tropical Cyclones in the Indian Ocean and Climate Change - page 400

orbiters viewing the same areas of interest. We considered our area of interest
in the cyclone center falling near around the centre of the ATOVS retrieval
swath (2000 km). Based on the size of central clouds of 'Gonu' and 'Nargis'
cyclone seen from coincident Kalpana infrared (IR) image, the domain was set
to 12° × 12° (600 km radius near the centre of swaths). After determining the
domain of cyclone centre cloud field according to the coincident IR image, the
temperature anomalies were calculated. In the computation of the anomaly,
overall 982 data points have been used to compute the outer domain temperature
for both cyclones.
We analyzed the area range of ANN retrieval data near the cyclone (for
'Gonu' and 'Nargis' ) and mapped to observed track data of tropical cyclone
issued by IMD. Further, calculated the anomaly in each stage and related the
warm core anomaly near the centre of the cyclone to MSLP and wind speed
obtained from Ocean Vector Winds Science, USA. Figure 4 shows the retrieved
Fig. 4: Plots of warm core anomaly at 200 hPa, wind speed (WS) and central pressure
as a function of time for (a) 'Gonu' and (b) 'Nargis' . The figures clearly indicate that
rising anomaly in RT a could be well co-related with the pressure and wind speed.