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

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Title An appraisal of rainfall estimation over India using remote sensing and in situ measurements
 
Creator Dwivedi, Sanjeev
Kumar Thakur, Manoj
Lakshmi Kumar, T V
Rao, B M
Kishtawal, C M
Narayanan, M S
 
Subject Monsoon rainfall
Tropical Rainfall Monitoring
India Meteorological Department (IMD4) gridded data
INSAT
Mission (TRMM)
Global Precipitation Mission (GPM)
Integrated Multi-satellite Retrievals for GPM (IMERG)
Doppler Weather Radars (DWR)
Z–R relation
 
Description 167-177
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.
 
Date 2022-02-14T07:34:00Z
2022-02-14T07:34:00Z
2021-12
 
Type Article
 
Identifier 0975-105X (Online); 0367-8393 (Print)
http://nopr.niscair.res.in/handle/123456789/59120
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source IJRSP Vol.50(4) [December 2021]