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Rainfall Estimation Techniques over India and Adjoining Oceanic Regions


Affiliations
1 Centre for Remote Sensing and Geoinformatics, Sathyabama University, Jeppiaar Nagar, Rajiv Gandhi Salai Road, Chennai - 600 119, India
 

Rainfall estimates have relevance in meteorology, hydrology, agriculture and climate change studies. Near real-time accurate rainfall information at fine spatial and temporal scale is important in the context of occurrence of recent flood events over the Indian region. Poor rain gauge and radar network limit this information over India. Satellites offer an opportunity to measure rainfall over India and the adjoining oceanic region. Available global rainfall products show poor performance for measuring rainfall over a topographically complex region like India. During the past few decades, efforts have been made to improve rainfall estimates over the Indian region. This study aims to provide a broad overview of these advancements, to emphasize on the evaluation of rainfall estimation techniques over India.

Keywords

Microwave Sensor, Rainfall Estimation, Satellites, Visible/infrared Observations.
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  • Mishra, A. K., Gairola, R. M., Varma, A. K. and Agarwal, V. K., Remote sensing of precipitation over Indian land and oceanic regions by synergistic use of multi-satellite sensors. J. Geophys. Res., 2010, 115, D08106, doi:10.1029/2009JD012157.
  • Gairola, R. M., Varma, A. K. and Agarwal, V. K., Rainfall estimation using spaceborne microwave radar and radiometric measurements. Mausam, 2003, 54(1), 89-106.
  • Huffman, G. J. et al., The TRMM multisatellite precipitation analysis (TMPA): quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J. Hydrometeorol., 2007, 8, 38- 55.
  • Kubota, T. et al., Global precipitation map using satellite-borne microwave radiometers by the GSMaP project: production and validation. IEEE Trans. Geosci. Remote Sensing, 2007, 45(7), 2259-2274.
  • Joyce, R. J., Janowiak, J. E., Arkin, P. A. and Xie, P., CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. J. Hydrometeorol., 2004, 5, 487-503.
  • Sorooshian, S., Hsu, K. L., Gao, X., Gupta, H. V., Imam, B. and Braithwaite, D., Evaluation of PERSIANN system satellite-based estimates of tropical rainfall. Bull. Am. Meteorol. Soc., 2000, 81, 2035-2046.
  • Scofield, R. A. and Kuligowski, R. J., Status and outlook of operational satellite precipitation algorithms for extreme-precipitation events. Weather Forecast., 2003, 18, 1037-1051.
  • Huffman, G. J. et al., NASA Global Precipitation Measurement (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG), Algorithm Theoretical Basis Document (ATBD) Version 4.5, NASA, 2015.
  • Mishra, A. K., A new technique to estimate precipitation at fine scale using multi-frequency satellite observations over Indian land and oceanic regions. IEEE Trans. Geosci. Remote Sensing, 2013, 51(7), 4349-4358; doi.10.1109/TGRS.2012.2226733.
  • Prakash, S., Sathiyamoorthy, V., Mahesh, C. and Gairola, R. M., An evaluation of high resolution multisatellite rainfall products over the Indian monsoon region. Int. J. Remote Sensing, 2014, 35(9), 3018-3035; doi:10.1080/01431161.2014.894661.
  • Mishra, A. K., Gairola, R. M., Varma, A. K. and Agarwal, V. K., Study of intense heavy rainfall events over India using KALPANA-IR and TRMM-precipitation radar observations. Curr. Sci., 2009, 9(5), 689-695.
  • Martin, D. W. and Scherer, W. D., Review of satellite rainfall estimation methods. Bull. Am. Meteorol. Soc., 1973, 54, 661- 674.
  • Arkin, P. A., The relationship between fractional coverage of high cloud and rainfall accumulations during GATE over the B-scale array. Monthly Weather Rev., 1979, 106, 1153-1171.
  • Arkin, P. A. and Meisner, B. N., The relationship between largescale convective rainfall and cold cloud over the Western Hemisphere during 1982-84. Monthly Weather Rev., 1987, 115, 51-74.
  • Arkin, P. A., Krishna Rao, A. V. R. and Kelkar, R. R., Large-scale precipitation and outgoing longwave radiation from INSAT-1B during the 1986 southwest monsoon season. J. Climate, 1989, 2(6), 619-628.
  • Rao, A. V. R. K., Kelkar, R. R. and Arkin, P. A., Estimation of precipitation and outgoing longwave radiation from INSAT-1B radiance data. Mausam, 1989, 40, 123-130.
  • Bhandari, S. M. and Varma, A. K., Estimation of large scale monthly rainfall over Indian region using minimal INSAT-VHRR data. Int. J. Remote Sensing, 1995, 16(11), 2023-2030.
  • Roy Bhowmik, S. K. and Sud, A. M., Seasonal and spatial characteristic of QPE errors over Indian region. Mausam, 2003, 54, 653- 658.
  • Nath, S., Mitra, A. K. and Roy Bhowmik, S. K., Improving the quality of INSAT derived quantitative precipitation estimates using neural network method. Geofizika, 2008, 25(1), 41-51.
  • Durai, V. R., Roy Bhowmik, S. K. and Mukhopadhyay, B., Evaluation of Indian summer monsoon rainfall features using TRMM and KALPANA-1 satellite derived precipitation and rain gauge observation. Mausam, 2010, 61(3), 317-336.
  • Prakash, S., Mahesh, C. and Gairola, R. M., Large scale precipitation estimation using Kalpana-1 IR measurements and its validation using GPCP and GPCC data. Theor. Appl. Climatol., 2011, 106(3-4), 283-293; doi:10.1007/s00704-011-0435-7.
  • Mishra, A. K., Gairola, R. M., Varma, A. K. and Agarwal, V. K., Improved rainfall estimation over the Indian region using satellite infrared technique. Adv. Space Res., 2011, 48, 49-55; doi:10.1016/j.asr.2011.02.016.
  • Vicente G., Scofield, R. A. and Mensel, W. P., The operational GOES infrared rainfall estimation technique. Bull. Am. Meteorol. Soc., 1998, 79, 1883-1898.
  • Singh, H. and Singh, O. P., Satellite derived precipitation estimates over Indian region during southwest monsoons. J. Indian Geophys. Union, 2013, 17(1), 65-74.
  • Gairola, R. M., Praksh, S., Bushair, M. T. and Pal, P. K., Rainfall estimation from Kalpana-1 satellite data over Indian land and oceanic regions. Curr. Sci., 2014, 107(8), 1275-1282.
  • Spencer, R. W., Goodman, H. M. and Hood, R. E., Precipitation retrieval over land and ocean with the SSM/I: Identification and characteristics of the scattering signal. J. Atmos. Oceanic Technol., 1989, 6, 254-273.
  • Grody, N. C., Classification of snow cover and precipitation using the special sensor microwave/imager (SSM/I). J. Geophys. Res., 1991, 96, 7423-7435.
  • Liu, G. and Curry, J. A., Retrieval of precipitation from satellite microwave measurements using both emission and scattering. J. Geophys. Res., 1992, 97, 9959-9974.
  • Negri, A. J., Adler, R. F., Nelkin, E. J. and Huffman, G. J., Regional rainfall climatologies derived from Special Sensor Microwave Imager (SSM/I) data. Bull. Am. Meteorol. Soc., 1994, 75, 1165-1182.
  • Barrett, E. C. and Bellerby, T. J., The application of satellite infrared and passive microwave rainfall estimation techniques to Japan: Results from the first GPCP algorithm intercomparison project. Meteor. Mag., 1992, 121, 34-46.
  • Ferraro, R. R., Grody, N. C., Alishouse, J. C. and Marks, G. F., The calibration of SSM/I scattering index for rain rate retrievals using RADAP-II and AMeDAS radar data, Preprints. In Sixth Conference on Satellite Meteorology and Oceanography, American Meteorological Society, Atlanta, GA, 1992, pp. 290-295.
  • Mishra, A. K., Gairola, R. M., Varma, A. K., Sarkar, A. and Agarwal, V. K., Rainfall Retrieval over Indian land and oceanic regions from SSM/I microwave data. Adv. Space Res., 2009, 44, 815-823; doi:10.1016/j.asr.2009.05.010.01.
  • Mishra, A. K., Estimation of heavy rainfall during cyclonic storms from microwave observations using nonlinear approach over Indian ocean. Natural Hazards, 2012, 63, 673-683, doi: 10.1007/s11069-012-0179-4.
  • Janowiak, J. E., Arkin, P. A., Xie, P., Morrey, M. L. and Ligates, D. R., An examination of the east pacific ITCZ rainfall distribution. J. Climate, 1995, 8, 2810-2823.
  • Wilheit, T. T., A model for the microwave emissivity of the ocean’s surface as a function of wind speed. IEEE Trans. Geosci. Electron., 1979, 17(4), 244-249.
  • Ferraro, R. R. and Marks, G. F., The development of SSM/I rain rate retrieval algorithms using ground based radar measurements. J. Atmos. Oceanic Technol., 1995, 12, 755-770.
  • Noh, Y.-J. and Liu, G., Satellite and aircraft observations of snowfall signature at microwave frequencies. Riv. Ital. Telerilevamento, 2004, 30, 101-118.
  • Kumar, P. and Varma, A. K., Assimilation of INSAT-3D hydro-estimator method retrieved rainfall for short-range weather prediction. Quart. J. R. Meteorol. Soc., 2016; doi:10.1002/ qj.2929.
  • Gohil, B. S., Gairola, R. M., Mathur, A. K., Varma, A. K., Mahesh, C., Gangwar, R. K. and Pal, P. K., Algorithms for retrieving geophysical parameters from the MADRAS and SAPHIR sensors of the Megha-Tropiques satellite: Indian scenario. Quart. J. R. Meteorol. Soc., 2013, 139(673), 954-963.
  • Balaji, C., Krishnamoorthy, C. and Chandrasekar, R., On the possibility of retrieving near-surface rain rate from the microwave sounder SAPHIR of the Megha-Tropiques mission. Curr. Sci., 2014, 106(4), 587.
  • Jobard, I. and Desbois, M., Satellite estimation of the tropical precipitation using the Meteosat and SSM/I data. Atmos. Res., 1994, 34, 285-298.
  • Adler, R. F., Huffman, G. J. and Keehn, P. R., Global rain estimates from microwave adjusted geosynchronous IR data. Remote Sensing Rev., 1994, 11, 125-135.
  • Gairola, R. M. and Krishnamurti, T. N., Rain rates based on SSM/I, OLR and raingauge data sets. Meteorol. Atmos. Phys., 1992, 50(4), 165-174.
  • Roy Bhowmik, S. K. and Das, A. K., Rainfall analysis for Indian monsoon region using the merged rain gauge observations and satellite estimates: Evaluation of monsoon rainfall features. J. Earth Syst. Sci., 2007, 116(3), 187-198.
  • Mitra, A. K., Bohra, A. K., Rajeevan, M. N. and Krishnamurti, T. N., Daily Indian precipitation analysis formed from a merge of rain-gauge data with the TRMM TMPA satellite-derived rainfall estimates. J. Meteorol. Soc. Japan. Ser. II, 2009, 87, 265-279.
  • Krishnamurti, T. N., Mishra, A. K., Simon, A. and Yatagai, A., Use of a dense rain-gauge network over India for improving blended TRMM products and downscaled weather models. J. Meteorol. Soc. Japan. Ser. II, 2009, 87, 393-412.
  • Gairola, R. M., Mishra, A., Prakash, S. and Mahesh, C., Development of INSAT multi-spectral rainfall algorithm (IMSRA) for monitoring rainfall events over India using KALPANA-IR and TRMM-precipitation radar observations. Scientific Report, 2010, SAC/EPSA/AOSG/INSAT/SR-39/2010.
  • Prakash, S., Mahesh, C., Gairola, R. M. and Pal, P. K., Estimation of Indian summer monsoon rainfall using Kalpana-1 VHRR data and its validation using rain gauge and GPCP data. Meteorol. Atmos. Phys., 2010, 110(1-2), 45-57.
  • Roy, S. S., Saha, S. B., Fatima, H., Bhowmik, S. R. and Kundu, P. K., Evaluation of short-period rainfall estimates from Kalpana-1 satellite using MET software. J. Earth Syst. Sci., 2012, 121(5), 1113-1123.
  • Das, S. K., Deb, S. K., Kishtawal, C. M. and Pal, P. K., Seasonal prediction of Indian summer monsoon: Sensitivity to persistent SST. J. Earth Syst. Sci., 2013, 122(5), 1183-1193.
  • Gairola, R. M., Prakash, S. and Pal, P. K., Improved rainfall estimation over the Indian monsoon region by synergistic use of Kalpana1 and rain gauge data. Atmósfera, 2015, 28(1), 51-61.
  • Roca Remy, M., Viollier, L. Picon and Desbois, M., A multisatellite analysis of deep convection and its moist environment over the Indian Ocean during the winter monsoon. J. Geophys. Res., 2002, 107, D19; doi:10.1029/2000JD000040.
  • Barrett, E. C. and Martin, D. W., The Use of Satellite Data in Rainfall Monitoring, Academic Press, London, 1981, p. 340.
  • Laughlin, C. R., On the effect of temporal sampling on the observation of mean rainfall. Precipitation Measurements from Space (Workshop report) (eds Atlas, D. and Thiele, O. W.), NASA/ GSFC, 1981, pp. D59-D66.
  • Varma, A. K., Gairola, R. M., Pokhrel, S., Gohil, B. S., Mathur, A. K. and Agarwal, V. K., Rain Rate Measurements over global oceans from IRS-P4 MSMR. Proc. Indian Acad. Sci. Earth Planet. Sci., 2002, 111, 257-266.
  • Mishra, A. K., Monitoring Tamil Nadu flood of 2015 using satellite remote sensing. Natural Hazards, 2016, 82(2), 1431-1434.
  • Mishra, A. K. and Srinivasan, J., Did a cloud burst occur in Kedarnath during 16 and 17 June 2013? Curr. Sci., 2013, 105(10), 1351-1352.
  • Wu, R. and Weinmann, J. A., Microwave radiances from precipitation clouds containing a spherical ice, combined phase, and liquid hydrometeors. J. Geophys. Res., 1984, 89(D5), 7170-7178.
  • Mishra, A. K., A study on the occurrence of flood events over Jammu and Kashmir during September 2014 using satellite remote sensing. Natural Hazards, 2015, 78(2), 1463-1467.
  • Kumar, R., Gairola, R. M., Mishra, A., Varma, A. K. and Das, I.
  • M. L., Evaluation of precipitation features in high-frequency SSM/I measurements over Indian land and oceanic regions. IEEE Geosci. Remote Sensing Lett., 2009, 6(3), 373-377.
  • Bushair, M. T., Prakash, S., Patel, S. and Gairola, R. M., Assessment of Kalpana-1 rainfall product over Indian Meteorological Sub-Divisions during the summer monsoon season. J. Indian Soc. Remote Sensing, 2016, 44(1), 67-76.
  • Rafiq, M., Mishra, A. K., Panda, J. and Sharma, S. K., Monitoring convective clouds over India and nearby regions using multispectral satellite observations. In Proceedings of International Conference on Remote Sensing for Disaster Management, Springer, Cham, 2019, pp. 51-60.
  • Rafiq, M. and Mishra, A. K., Remote sensing of near-real-time heavy precipitation using observations from GPM and MFG over India and nearby oceanic regions. In Multidisciplinary Digital Publishing Institute Proceedings, 2018, vol. 2, No. 7, p. 327.
  • Mishra, A. and Rafiq, M., Towards combining GPM and MFG observations to monitor near real time heavy precipitation at fine scale over India and nearby oceanic regions. Dyn. Atmos. Oceans, 2017, 80, 62-74.
  • Rajeevan, M., Bhate, J. and Jaswal, A. K., Analysis of variability and trends of extreme rainfall events over India using 104 years of gridded daily rainfall data. Geophys. Res. Lett., 2008, 35(18).
  • Mishra, A. and Liu, S. C., Changes in precipitation pattern and risk of drought over India in the context of global warming. J. Geophys. Res.: Atmos., 2014, 119(13), 7833-7841.
  • Goswami, B. N., Venugopal, V., Sengupta, D., Madhusoodanan, M. S. and Xavier, P. K., Increasing trend of extreme rain events over India in a warming environment. Science, 2006, 314(5804), 1442-1445.
  • Mishra, A., Chandra, S., Rafiq, M., Sivarajan, N. and Santhanam, K., An observational study of the Kanchipuram flood during the northeast monsoon season in 2015. Weather, 2018), 73(9), 300- 301.
  • Mishra, A. K., Nagaraju, V., Rafiq, M. and Chandra, S., Evidence of links between regional climate change and precipitation extremes over India. Weather, https://doi.org/10.1002/wea.3259.
  • Rafiq, M. and Mishra, A. K., A study of heavy snowfall in Kashmir, India in January 2017. Weather, 2018, 73(1), 15-17.
  • Rafiq, M. et al., Modelling Chorabari Lake outburst flood, Kedarnath, India. J. Mountain Sci., 2018, 15; https://doi.org/10.1007/ s11629-018-4972-8.

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  • Rainfall Estimation Techniques over India and Adjoining Oceanic Regions

Abstract Views: 332  |  PDF Views: 96

Authors

Anoop Kumar Mishra
Centre for Remote Sensing and Geoinformatics, Sathyabama University, Jeppiaar Nagar, Rajiv Gandhi Salai Road, Chennai - 600 119, India
Mohammd Rafiq
Centre for Remote Sensing and Geoinformatics, Sathyabama University, Jeppiaar Nagar, Rajiv Gandhi Salai Road, Chennai - 600 119, India

Abstract


Rainfall estimates have relevance in meteorology, hydrology, agriculture and climate change studies. Near real-time accurate rainfall information at fine spatial and temporal scale is important in the context of occurrence of recent flood events over the Indian region. Poor rain gauge and radar network limit this information over India. Satellites offer an opportunity to measure rainfall over India and the adjoining oceanic region. Available global rainfall products show poor performance for measuring rainfall over a topographically complex region like India. During the past few decades, efforts have been made to improve rainfall estimates over the Indian region. This study aims to provide a broad overview of these advancements, to emphasize on the evaluation of rainfall estimation techniques over India.

Keywords


Microwave Sensor, Rainfall Estimation, Satellites, Visible/infrared Observations.

References





DOI: https://doi.org/10.18520/cs%2Fv116%2Fi1%2F56-78