Field Observation Experience
Data Analysis Expertise
- FAAM Aircraft Observations during INDO-UK INCOMPASS project, 2016, Bangalore, India
- Cloud Seeding Experiment, Bangalore team, Government of Karnataka, India, 2019, Bangalore (India)
Data Analysis Expertise
- Data processing: Polarimetric/Single-polarimetric C- and S-band Doppler radar data, attenuation correction methods, CloudSat W-band CPR, TRMM Ku-band PR, GPM dual-frequency precipitation radar CALIPSO data, Rain-gauge data, Radiosonde and Disdrometer observations: Retrieval of radar reflectivity (Z) from drop size distribution, Derivations of Z-R relations, Global comparison of Z-R relations, Radiosonde Observations, Cloud data from CMIP5 GCMs ISCCP and CALIPSO simulators, ECMWF Reanalysis data
- Computer environments: Windows and LINUX
- Coding: MATLAB (>13 Years)
- Storm tracking algorithms: TITAN (Thunderstorm Identification Tracking Analysis and Nowcasting)
- Data formats interconversion: Raw Doppler radar volume data, ASCII, FSL-and CF-NetCDF interconversion, HDF, MDV, and other scientific datasets
CODES DEVELOPED IN MATLAB
- Conversion from FSL-netCDF to CF-NetCDF files
- Convective echo identification in MCS
- Attenuation correction methods: Z-PHIDP method
- Algorithm for deriving Z-R relation using Disdrometer data
- VPRR algorithm
- Low-Pressure-System (LPS) tracking algorithm