Modified Convective Stratiform Technique (CSTm) Performance on Rainfall Estimation in Indonesia
DOI:
https://doi.org/10.5614/j.math.fund.sci.2014.46.3.4Abstract
This study has analyzed a rainfall estimation using a modified convective stratiform technique (CSTm). Unlike the original convective stratiform technique (CST), which only utilizes infrared (IR) data, CSTm applies not only IR data but also passive microwave (PMW) data. Two major modifications contained in CSTm are: (1) the application of a variability index (VI) method that uses PMW data to perform convective and stratiform separation,and (2) the ability to determine the average extensive coverage of the new areas of each pixel point as a result of the utilization of the PMW data. In this study, rainfall estimation was conducted for 23 points spread over four major islands in Indonesia. The estimation was performed based only on IR and PMW data obtained from coincident observations. For verification, the estimation results were compared with real observations. The main verification action conducted in this study used multi-category contingency tables for four categories and this action was supported by the root mean square error (RMSE)method.The verification results of the hourly estimation conducted for 4 days in early November 2011 showed that CSTm can effectively improve the performance quality of CST.References
Adler, R. F. & Negri, A. J., A Satellite Infrared Technique to Esimate Tropical Convective and Stratiform Rainfall, Journal of Applied Meteorology, 27, pp. 30-39, 1988.
Goldenberg, S. B., Houze, R. A. Jr., Churchill, D. D., Convective and Stratiform Components of a Winter Monsoon Cloud Cluster Determined from Geosynchronous Infrared Satellite Data, Journal of Meteorological Society of Japan, 8 (1), pp. 37-63, 1990.
Bendix, J., Adjusment of the Convective Stratiform Technique (CST) to estimate 1991/93 El Nino rainfall distribution in Ecuador and Peru by means of Meteosat-3 IR data, International Journal of Remote Sensing, 18(6), pp. 1387-1394, 1997.
Islam, Md. N., Islam, A. K. M. S., Hayashi, T., Terao, T., Uyeda, H., Application of A Method to Estimate Rainfall in Bangladesh Using GMS-5 Data, Journal of Natural Disaster Science, 24 (2), pp. 83-89, 2002.
Andi, I., Rainfall Estimation of Some Cities in Indonesia Using Infrared 1 of MTSAT Data, Magister Thesis, Earth Science Program Study, Institute of Technology Bandung, Bandung, 2007.
Levizzani, V., Amorati, R., Meneguzzo, F., A Review of Satellite-based Rainfall Estimation Methods, European Commission Project MUSIC Report (EVK1-CT-2000-00058), 66 pp, 2002.
Kimani, M. W., Rain Rate Estimation Of NorthWest Europe and Kenya from Seviri Sensor: Comparison of Precipitation Properties Visible and near Infrared and Hydro Estimator Algorithms, M.Sc Thesis, Faculty of Geo Information Science and Earth Observation, University of Twente, Twente, 2011.
Wilheit, T., Some Comments on Passive Microwave Measurement of Rain, Bulletin American Met Soc, 67(10), pp. 1226-1232, 1986.
Adler, R. F., Negri, A. J., Keehn, P. R., Hakkarinen, I. M., Estimation of Monthly Rainfall over Japan and Surounding Water from a Combination of Low Orbit Microwave and Geosynchronous IR Data, Journal of Applied Meteorology, 32(2), pp. 335-348, 1993.
Kummerow, C. & Giglio, L., A Method for Combining Passive Microwave and Infrared Rainfall Observation, Journal of Atmospheric and Oceanic Technology, 12(1), pp. 33 - 45, 1995.
Levizzani, V., Satellite rainfall estimates : New Perspectives for Meteorology and Climate from the EURAINSAT Project, Annals of Geophysics, 46(2), pp. 363-372, 2003.
Kidd, C., Kniveton, D. R., Todd, M. C., Bellerby, T. J., Satellite Rainfall Estimation Using Combined Passive Microwaved and Infrared Algorithms, Journal of Hydrometeorology, 4(6), pp. 1088-1104, 2003.
Anagnostou, E. N. & Kummerow, C., Stratiform and Convective Classification of Rainfall Using SSM/I 85-GHz Brightness Temperature Observations, Journal of Atmospheric and Oceanic Tech., 14(3), pp. 570-575, 1997.
Stanski, H.R., Wilson, L.J., Burrows, W.R., Survey of Common Verification Methods in Meteorology, WMO World Weather Wacth Technical Report No. 8, Second Edition, 1989.
Ebert, E.E., Veryfying Satellite Precipitation Estimates for Weather and Hydrological Applications, International Precipitation Working Group 1st Workshop, Madrid Spain, 2002.
Hong, Y., Kummerow, C. D., Olson, W. S., Separation of Convective and Stratiform Precipitation Using Microwave Brightness Temperature, Journal of Applied Meteorology, 38(8), pp. 1195-1213, 1999.