NISCAIR Online Periodicals Repository

Research Journals >
Indian Journal of Radio & Space Physics (IJRSP) >
IJRSP Vol.39 [2010] >
IJRSP Vol.39(2) [April 2010] >

Title: Nowcasting of Yes/No rain situations at a station using soft computing technique to the radar imagery
Authors: Dutta, Devajyoti
Sarma, Diganta Kumar
Konwar, Mahen
Sharma, Sanjay
Viswanathan, G
Gairola, R M
Das, J
Kannan, B A M
Venkateswaralu, S
Keywords: Doppler weather radar (DWR)
Image processing
Artificial neural network (ANN)
Multilayer perception
Rain nowcasting
Issue Date: Apr-2010
Publisher: CSIR
PACS No.:; 92.60.jf; 84.40.Xb
Abstract: A soft computing model for nowcasting of Yes/No rain situations, with a lead time of 2 h, is developed over DWR station at Satish Dhawan Space Centre (SDSD), Shriharikota (13.66°N, 80.23°E) using Doppler weather radar (DWR) reflectivity imageries. Primarily, precipitating systems of mesoscale, i.e. meso-gamma (2-20 km), meso-beta (20-200 km) and meso-alpha (200-2000 km) are considered for the present study. The main components of soft computing approach are: analysis of two-dimensional reflectivity imageries from DWR and utilization of artificial neural network (ANN) for training of input/output data. About 15 input and one output parameters are extracted from radar imageries. The image analysis and training of ANN are carried out on MATLAB platform. After training of ANN, 91 and 77% results are matched with the observed values for No rain and Yes rain situations, respectively. The probability of detection (POD) for the nowcasting of Yes/No rain situations is found to be 0.84. The significant improvement in the nowcasting of Yes/No rain situations is observed by the developed methodology as compared to linear multivariable regression method. The POD of Yes/No rain for other two locations, namely Chennai (12.99°N, 80.18°E) and Tiruvallur (13.09°N, 79.57°E) are found to be 0.81 and 0.77, respectively. Overall, reasonably good results are obtained by the newly developed soft computing model.
Page(s): 92-102
ISSN: 0975-105X (Online); 0367-8393 (Print)
Source:IJRSP Vol.39(2) [April 2010]

Files in This Item:

File Description SizeFormat
IJRSP 39(2) 92-102.pdf379.31 kBAdobe PDFView/Open
 Current Page Visits: 199 
Recommend this item


Online Submission of Articles |  NISCAIR Website |  National Knowledge Resources Consortium |  Contact us |  Feedback

Disclaimer: NISCAIR assumes no responsibility for the statements and opinions advanced by contributors. The editorial staff in its work of examining papers received for publication is helped, in an honorary capacity, by many distinguished engineers and scientists.

CC License Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India

Copyright © 2015 The Council of Scientific and Industrial Research, New Delhi. All rights reserved.

Powered by DSpace Copyright © 2002-2007 MIT and Hewlett-Packard | Compliant to OAI-PMH V 2.0

Home Page Total Visits: 170368 since 01-Sep-2015  Last updated on 30-Jun-2016Webmaster: