Indian Journal of Radio & Space Physics

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An appraisal of rainfall estimation over India using remote sensing and in situ measurements


Affiliations
1 School of Earth, Ocean and Climate Sciences, Indian Institute of Technology, Bhubaneshwar 752 050, India
2 Department of Physics, Tri-Chandra Multiple Campus, Tribhuvan University, Kathmandu 44 600, Nepal
3 SRM Institute of Science & Technology, Chennai 603 203, India
4 Space Application Centre, Indian Space Research Organisation, Ahmedabad 380 058, India
 

The most important meteorological parameter Rainfall, shows high variability in space and time, particularly over Tropics / Monsoon region. Many new observational and analysis methods to observe / analyse them by remote sensing techniques (Satellites, Doppler Weather Radars) have emerged over the decades, besides the dense network of in situ rain gauges, Automatic Weather Stations (AWS) etc on ground. The scales of observations being vastly different for in situ and remote sensing methods, large discrepancies between different techniques are inherent. These problems have been brought out through various validation studies by many groups in the country. Even on the daily all India spatial scale, basically only the peaks and troughs from satellite estimates match reasonably well with in situ data. Results of a case study during an intense and long-lasting rain event over Chennai, from DWR, with different satellite products and ground truth are presented. The importance of DWR rainfall data in significantly improving the integrated products is emphasised. A simple two-way approach to establish Z – R relationship for the DWRs in the country is also suggested. A well-coordinated integrated programme to study the inter comparability of precipitation at various spatio- temporal scales in the context of our water resources, model validation, extreme rainfall events, Climate change, etc., is called for. The desired accuracies from satellite data vis a vis IMD gridded data for different applications have been summarised.
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  • An appraisal of rainfall estimation over India using remote sensing and in situ measurements

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Authors

Sanjeev Dwivedi
School of Earth, Ocean and Climate Sciences, Indian Institute of Technology, Bhubaneshwar 752 050, India
Manoj Kumar Thakur
Department of Physics, Tri-Chandra Multiple Campus, Tribhuvan University, Kathmandu 44 600, Nepal
T V Lakshmi Kumar
SRM Institute of Science & Technology, Chennai 603 203, India
B M Rao
Space Application Centre, Indian Space Research Organisation, Ahmedabad 380 058, India
C M Kishtawal
Space Application Centre, Indian Space Research Organisation, Ahmedabad 380 058, India
M S Narayanan
SRM Institute of Science & Technology, Chennai 603 203, India

Abstract


The most important meteorological parameter Rainfall, shows high variability in space and time, particularly over Tropics / Monsoon region. Many new observational and analysis methods to observe / analyse them by remote sensing techniques (Satellites, Doppler Weather Radars) have emerged over the decades, besides the dense network of in situ rain gauges, Automatic Weather Stations (AWS) etc on ground. The scales of observations being vastly different for in situ and remote sensing methods, large discrepancies between different techniques are inherent. These problems have been brought out through various validation studies by many groups in the country. Even on the daily all India spatial scale, basically only the peaks and troughs from satellite estimates match reasonably well with in situ data. Results of a case study during an intense and long-lasting rain event over Chennai, from DWR, with different satellite products and ground truth are presented. The importance of DWR rainfall data in significantly improving the integrated products is emphasised. A simple two-way approach to establish Z – R relationship for the DWRs in the country is also suggested. A well-coordinated integrated programme to study the inter comparability of precipitation at various spatio- temporal scales in the context of our water resources, model validation, extreme rainfall events, Climate change, etc., is called for. The desired accuracies from satellite data vis a vis IMD gridded data for different applications have been summarised.