Flood modeling of a large transboundary river using WRF-Hydro and microwave remote sensing
Abstract The Brahmaputra River, a trans-boundary river between India and Bangladesh
experiences large scale floods with frequent inundation events affecting millions of people …
experiences large scale floods with frequent inundation events affecting millions of people …
Short-term forecasting of satellite-based drought indices using their temporal patterns and numerical model output
Drought forecasting is essential for effectively managing drought-related damage and
providing relevant drought information to decision-makers so they can make appropriate …
providing relevant drought information to decision-makers so they can make appropriate …
Assessment of the weather research and forecasting model generalized parameterization schemes for advancement of precipitation forecasting in monsoon‐driven …
Some of the world's largest and flood‐prone river basins experience a seasonal flood
regime driven by the monsoon weather system. Highly populated river basins with extensive …
regime driven by the monsoon weather system. Highly populated river basins with extensive …
Assimilation of INSAT‐3D hydro‐estimator method retrieved rainfall for short‐range weather prediction
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 …
monitor the Earth's surface using various spectral channels of meteorological importance …
Influence of precipitation forcing uncertainty on hydrological simulations with the NASA South Asia land data assimilation system
Accurate meteorological estimates are critical for process-based hydrological simulation and
prediction. This presents a significant challenge in mountainous Asia where in situ …
prediction. This presents a significant challenge in mountainous Asia where in situ …
Improving operational flood forecasting in monsoon climates with bias-corrected quantitative forecasting of precipitation
For flood-prone countries subject to large-scale and seasonal flooding, precipitation
forecasting is the single most important factor for improving the skill of flood forecasting for …
forecasting is the single most important factor for improving the skill of flood forecasting for …
Assessment of impact of unaccounted emission on ambient concentration using DEHM and AERMOD in combination with WRF
A Kumar, RS Patil, AK Dikshit, R Kumar, J Brandt… - Atmospheric …, 2016 - Elsevier
The accuracy of the results from an air quality model is governed by the quality of emission
and meteorological data inputs in most of the cases. In the present study, two air quality …
and meteorological data inputs in most of the cases. In the present study, two air quality …
Application of AERMOD for short-term air quality prediction with forecasted meteorology using WRF model
A Kumar, RS Patil, AK Dikshit, R Kumar - Clean Technologies and …, 2017 - Springer
Many methods are available for air quality forecasting based on statistical and back
trajectory models which require past time series data. Future air quality prediction through …
trajectory models which require past time series data. Future air quality prediction through …
Mapping of thermal power plant emitted atmospheric carbon dioxide concentration using AVIRIS-NG data and atmospheric radiative transfer model simulations
Our study demonstrates the potential of Airborne Visible/Infrared Imaging Spectrometer Next
Generation (AVIRIS-NG) hyperspectral data and radiative transfer modeling to retrieve the …
Generation (AVIRIS-NG) hyperspectral data and radiative transfer modeling to retrieve the …
Use of simulated and observed meteorology for air quality modeling and source ranking for an industrial region
A Kumar, AK Dikshit, RS Patil - Sustainability, 2021 - mdpi.com
The Gaussian-based dispersion model American Meteorological Society/Environmental
Protection Agency Regulatory Model (AERMOD) is being used to predict concentration for …
Protection Agency Regulatory Model (AERMOD) is being used to predict concentration for …