A5015146171- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
- Ocean Waves and Remote Sensing
- Climate variability and models
- Atmospheric aerosols and clouds
- Soil Moisture and Remote Sensing
- Tropical and Extratropical Cyclones Research
- Oceanographic and Atmospheric Processes
- Coastal and Marine Dynamics
- Geophysics and Gravity Measurements
- Hybrid Renewable Energy Systems
- Flood Risk Assessment and Management
- Chemical Looping and Thermochemical Processes
- Marine and coastal ecosystems
- Calibration and Measurement Techniques
- Advanced Aircraft Design and Technologies
- Laser Design and Applications
- Cryospheric studies and observations
- Aeolian processes and effects
- Solar Radiation and Photovoltaics
- Catalysis for Biomass Conversion
- Atmospheric and Environmental Gas Dynamics
- Coastal wetland ecosystem dynamics
- Radiative Heat Transfer Studies
- Hydrogen Storage and Materials
Indian Space Research Organisation
2014-2024
Indian Institute of Technology Dhanbad
2023
Japan Aerospace Exploration Agency
2022
Florida State University
2004-2006
India launched a geostationary satellite INSAT‐3D on 26 July 2013 with an objective to monitor the Earth's surface using various spectral channels of meteorological importance. retrieved Hydro‐Estimator (HE) rainfall is compared Tropical Rainfall Measuring Mission (TRMM) 3B42 V7 merged and in situ observations from Meteorological Department (IMD). Results suggest that HE reasonably good quality hence can be used for applications. The Weather Research Forecasting (WRF) model its...
In the present study, an attempt was made to estimate rainfall by synergistically analyzing collocated thermal infrared (TIR) brightness temperatures from Meteosat along with estimates active microwave precipitation radar (PR) on Tropical Rainfall Measuring Mission (TRMM) over Indian land and oceanic regions. this we used broad frequent TIR measurements a geostationary satellite for estimation, calibrating them sparse but more accurate PR rain rates. To make algorithm robust, two‐step...
Abstract The ability of numerical weather prediction models to accurately predict extreme events, such as thunderstorms marked by heavy rainfall and lightning activities, has consistently been great importance for human life. objective this study is assess the long‐term reliability European Centre Medium‐Range Weather Forecasts Reanalysis version 5 (ERA5) in comparison Indian gauge‐adjusted Global Satellite Mapping Precipitation (GSMaP_ISRO) at time flashes measured Lightning Imaging Sensor...
Abstract The major scientific objective of the Megha‐Tropiques (MT) satellite, an Indian Space Research Organisation (ISRO)–Centre National d'Études Spatiales (CNES) collaborative project, is to understand energy and water cycles in global tropical region. With its 20° inclined orbit, it will frequently measure radiation emitted by Earth‐Atmosphere System visible, infrared microwave spectrum through four sensors on board. Various geophysical parameters, namely vapour, cloud liquid surface...
Abstract This study aims to create a 21‐year, high spatiotemporal resolution Global Satellite Mapping of Precipitation (GSMaP) rainfall product adjusted by rain gauge measurements over the Indian mainland and highlighted importance Meteorological Department (IMD) daily gridded generate GSMaP products landmass. The targeted resolutions are hourly 0.1° × 0.1°. National Oceanic Atmospheric Administration Climate Prediction Center analysis (0.5° 0.5°) IMD (0.25° 0.25°) were utilized long‐term...
Abstract The objective of this study is to explore and present a methodology assimilate all‐sky water vapour (WV) radiance from Indian geostationary satellites (INSAT‐3D INSAT‐3DR) in the Weather Research Forecasting (WRF) model. For assimilation, hydrometeors are considered as control variables by adding background error covariance. Additionally, uses application Global Satellite based Inter‐Calibration System (GSICS) bias correction mechanism on WV radiances before their assimilation. To...
Abstract The horizontal distribution of rain rates within an area comparable to the pixel size satellite microwave radiometers and grid numerical weather prediction models has been studied over global Tropics using three years Tropical Rainfall Measuring Mission precipitation radar (PR) data. rain-rate standard deviation derived from PR data suggests that variability is largely influenced by two factors: surface type (land or ocean) latitudinal location (tropical extratropical). Except for...
Surface rain radar data from areas surrounding Japan and in the tropics are used to study variability of rainfall over an area similar a satellite microwave radiometric instantaneous field view (FOV). The results such applied radiative transfer simulations modify brightness temperature versus rate relationship. First, surface different geographical regions develop relationship between fractional cover average FOV‐sized areas. This resultant is also compared with spaceborne Tropical Rainfall...
Classification of rain type in satellite microwave observations is useful for various studies ranging from numerical weather prediction and precipitation climatology to retrieval amounts. In this study we have first examined the possibility determining distribution convective/stratiform within a typical radiometric pixel size area represented by Tropical Rainfall Measuring Mission Microwave Imager (TMI) then formulated an empirical relation between convective stratiform ratio observed...
The work presented herein deals with the problems of inter-comparison precipitation values at 8 km × and 4 scales (herein often referred to as pixel or scale) that represent approximate instantaneous field view thermal infrared measurements from geostationary satellites like Kalpana, Geostationary Meteorological Satellite (GMS), etc. A number temporal, spatial spatiotemporal series TOGA-COARE radar observations are subjected autocorrelation analysis study variability. It was found drop 0.45...
Abstract Frequent dust storms during the pre-monsoon season in northwest India significantly impact weather, air quality, and health, necessitating accurate predictions. This study demonstrates first-time assimilation of aerosol optical depth (AOD) data from INSAT-3D into Weather Research Forecasting model coupled with Chemistry (WRF-Chem), alongside previously assimilated AOD MODIS AQUA. Focusing on an extreme storm over Indo-Gangetic Plain (IGP) June 12-17, 2018, identical experiments were...