A5091516424- Meteorological Phenomena and Simulations
- Tropical and Extratropical Cyclones Research
- Oceanographic and Atmospheric Processes
- Ocean Waves and Remote Sensing
- Climate variability and models
- Geophysics and Gravity Measurements
- Micro and Nano Robotics
- Microfluidic and Bio-sensing Technologies
- Precipitation Measurement and Analysis
- Geological and Geophysical Studies
- Simulation Techniques and Applications
- Ionosphere and magnetosphere dynamics
- Recommender Systems and Techniques
- Computational Physics and Python Applications
- Human Mobility and Location-Based Analysis
- Data Management and Algorithms
- Advanced Thermodynamics and Statistical Mechanics
- Sentiment Analysis and Opinion Mining
- Granular flow and fluidized beds
- Geographic Information Systems Studies
- Digital Communication and Language
- Impact of Technology on Adolescents
Argonne National Laboratory
2022-2025
University of Petroleum and Energy Studies
2022-2023
University of Illinois Urbana-Champaign
2016-2021
Ambedkar University Delhi
2020
University of Illinois Chicago
2017-2019
Abstract Convective cold pools are important modulators of the onset and evolution deep convection in tropics. This work leverages a dataset derived from Advanced Scatterometer (ASCAT) satellite instrument by Garg et al. (2020) to quantify seasonal variations pool activity their relationship across tropical ocean basins. The identifies gradient features (GFs) surface wind field, which have been shown serve as reliable proxies for boundaries atmospheric pools. We examine between GFs...
Data assimilation of observational data into full atmospheric states is essential for weather forecast model initialization. Recently, methods deep generative have been proposed which allow using new input without retraining the model. They could also dramatically accelerate costly process used in operational regional models. Here, a central US testbed, we demonstrate viability score-based context realistically complex km-scale weather. We train an unconditional diffusion to generate...
Abstract Convective cold pools over oceans contribute to the air‐sea exchange of heat and moisture. Beyond pools' physical properties, their intersections are important mechanisms controlling life cycle tropical convective systems. However, few observational techniques available routinely observe properties association with convection. The primary goal this study is demonstrate a new technique using gradients in remotely sensed ocean vector winds as proxy for structure characteristics...
This study investigates (i) the role of orography in precipitation along and upstream Western Ghats (WG) (ii) a diurnal cycle western India during summer monsoon, using high‐resolution meteorological model network surface rain‐gauges over WG. The Weather Research Forecasting (WRF‐ARW) was used to simulate 2008, 2009 2010 monsoons at 5 km horizontal grid spacing allows resolved convection, with initial boundary conditions provided by ERAInterim. highest daily mean is found immediate WG...
Abstract Tropical convection regimes range from deep organized to shallow convective systems. Mesoscale processes such as cold pools within tropical systems can play a significant role in the evolution of over land and open ocean. Although are widely observed, their diurnal properties not well understood oceans land. The oceanic pool identification metric applied herein uses gradient feature (GF) technique is compared with diurnally-resolved buoy-identified thermal pools. This study provides...
Depression is the leading global disability, and unipolar (as opposed to bipolar) depression 10th cause of early death, as stated by World Health Organization (WHO) in 2015. The study aims build an approach for impaired mental health analysis from social media platforms. Although cure. Psyscologists preferred over machines because they are manipulative precautionary Human emotions a greater extent, Machine Learning has added advantage. It no emotions; it studies patterns, not face or beauty...
This work presents an autoregressive generative diffusion model (DiffObs) to predict the global evolution of daily precipitation, trained on a satellite observational product, and assessed with domain-specific diagnostics. The is probabilistically forecast day-ahead precipitation. Nonetheless, it stable for multi-month rollouts, which reveal qualitatively realistic superposition convectively coupled wave modes in tropics. Cross-spectral analysis confirms successful generation low frequency...
Data assimilation of observational data into full atmospheric states is essential for weather forecast model initialization. Recently, methods deep generative have been proposed which allow using new input without retraining the model. They could also dramatically accelerate costly process used in operational regional models. Here, a central US testbed, we demonstrate viability score-based context realistically complex km-scale weather. We train an unconditional diffusion to generate...
Storm-scale convection-allowing models (CAMs) are an important tool for predicting the evolution of thunderstorms and mesoscale convective systems that result in damaging extreme weather. By explicitly resolving dynamics within atmosphere they afford meteorologists nuance needed to provide outlook on hazard. Deep learning have thus far not proven skilful at km-scale atmospheric simulation, despite being competitive coarser resolution with state-of-the-art global, medium-range weather...
We demonstrate a novel shear-induced mechanism for growth of concentration fluctuations in bacterial suspension. Using linear stability analysis, homogeneously sheared suspension is shown to support exponentially growing layering perturbations the shear-rate and concentration. Non-linear simulations show that instability eventually leads gradient-banded velocity profiles, with local depletion bacteria at interface between bands. Our results long-ranged hydrodynamic interactions are...
Outflow boundaries induced by cold-pools are a key characteristic of convective systems related to microphysical and kinematic processes during the mature stage their lifecycle. Over ocean, such associated with low-level wind modulations that captured scatterometers. This study investigates ability Advanced Scatterometer (ASCAT) retrievals detect outflow boundary an oceanic mesoscale system (MCS). Leveraging new technique identify cold pools is based on features enclose elevated magnitude...