
Evaluation of Doppler weather radar MEGHA ‐2700 observations using Gematronik Doppler weather radar and TRMM P recipitation Radar
Author(s) -
Subrahmanyam K. Venkata,
Kishore Kumar Karanam,
Kiran Kumar N. V. P.,
Viswanathan G.
Publication year - 2016
Publication title -
meteorological applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.672
H-Index - 59
eISSN - 1469-8080
pISSN - 1350-4827
DOI - 10.1002/met.1571
Subject(s) - radar , environmental science , meteorology , weather radar , precipitation , doppler radar , tropical cyclone , drizzle , remote sensing , climatology , geology , geography , computer science , telecommunications
As a part of the MEGHA ‐2700 validation after programme, Doppler weather radar ( DWR ) at Sriharikota (13.66 ° N, 80.23 ° E) is validated with the Chennai (13.07 ° N, 80.28 ° E DWR ) (hereafter CHENNAI‐DWR ) and simultaneous observations along with Tropical Rainfall Measuring Mission ( TRMM ) Precipitation Radar ( PR ) measurements. Many simultaneous observations of weather systems were carried out using these two DWRs with an aim of validating the MEGHA ‐2700. During this validation period, a tropical cyclone ‘ OGNI ’ formed in the Bay of Bengal on 28 October 2006. Simultaneous observations from these two radars are used for the present study along with TRMM‐PR measurements. A methodology is developed to interpolate two ground radars and PR volume scans into a fixed Cartesian grid box because the common volume observations minimize uncertainties associated with the sampling volumes and viewing angles. It is observed that MEGHA ‐2700 systematically underestimates CHENNAI‐DWR reflectivity by ∼6.23 dB . The rainfall estimations from MEGHA ‐2700 show that the bias adjustment reduces the total rainfall differences significantly between radar estimates and rain gauges. The significance of the present study lies in validating the indigenously developed DWR , which will form the basis for further research on cloud microphysics.