An Alignment-based Methodology to cross-compare Indian Ground Radar Observations with Space Radar
Abstract
In the present work, a comparison between the radar reflectivity observed by IMD's (India Meteorological Department) Dual Pol Ground Radar stationed at the IMD Delhi site and TRMM's (Tropical Rainfall Measuring Mission) Precipitation Radar (PR) using the alignment framework is presented. The ground radar (GR) observations are resampled in the horizontal direction, whereas the space radar observations are averaged in the vertical direction. The current study was conducted for rain certain events that occurred during the Indian Summer Monsoon Rainfall (ISMR) period, albeit June, July, August, and September from the year 2013. The reflectivity is added in a linear scale to average the GR and TRMM PR reflectivity values. Sweeps involving all elevation angles for ground radar are considered for volume matching with the space radar (SR). The GR operates at C-Band frequency, whereas the SR operates at Ku-Band frequency. The C-Band reflectivity of GR is converted to Ku-Band for rain and snow cases using empirical relationships. The observations are then averaged in the horizontal (for GR) and vertical (for PR) directions.Furthermore, a neural network can correct the GR observations against SR observations. For the present case, a single-layer neural network is used for correcting GR against SR. The GR observations are fed to the input layer of the network. The output of the network constitutes SR observations.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2022
- Bibcode:
- 2022AGUFM.A31A..02S