A5028522359- Meteorological Phenomena and Simulations
- Climate variability and models
- Atmospheric aerosols and clouds
- Atmospheric chemistry and aerosols
- Tropical and Extratropical Cyclones Research
- Fire effects on ecosystems
- Lightning and Electromagnetic Phenomena
- Precipitation Measurement and Analysis
- Atmospheric Ozone and Climate
- Cryospheric studies and observations
- Plant Water Relations and Carbon Dynamics
- Oceanographic and Atmospheric Processes
- Wind and Air Flow Studies
- Methane Hydrates and Related Phenomena
- Spacecraft and Cryogenic Technologies
- Arctic and Antarctic ice dynamics
- Atmospheric and Environmental Gas Dynamics
- Hydrology and Drought Analysis
- Magnetic and Electromagnetic Effects
- Climate change impacts on agriculture
- Electrohydrodynamics and Fluid Dynamics
- Air Quality and Health Impacts
- Icing and De-icing Technologies
- Solar Radiation and Photovoltaics
- Freezing and Crystallization Processes
Indian Institute of Tropical Meteorology
2015-2024
Ministry of Earth Sciences
2019-2024
National Taiwan University
2006-2024
Savitribai Phule Pune University
2024
Oil and Natural Gas Corporation (India)
2024
Chaudhary Charan Singh Haryana Agricultural University
2022
Cotton University
2019
National Centre for Medium Range Weather Forecasting
2019
Cochin University of Science and Technology
2019
National Institute of Advanced Studies
2019
Abstract An ice nucleation parameterization based on classical theory, with aerosol-specific parameters derived from experiments, has been implemented into a global climate model—the Community Atmosphere Model (CAM)-Oslo. The treats immersion, contact, and deposition by mineral dust, soot, bacteria, fungal spores, pollen in mixed-phase clouds at temperatures between 0° −38°C. Immersion freezing is considered for insoluble particles that are activated to cloud droplets, contact only allowed...
The objectives of the Winter Fog Experiment (WIFEX) over Indo-Gangetic Plains India are to develop better now-casting and forecasting winter fog on various time-and spatial scales.Maximum occurrence northwest is about 48 days (visibility <1000 m) per year, it occurs mostly during December-February time-period.The physical chemical characteristics fog, meteorological factors responsible for its genesis, sustenance, intensity dissipation poorly understood.Improved understanding above aspects...
Abstract In spite of the summer monsoon’s importance in determining life and economy an agriculture-dependent country like India, committed efforts toward improving its prediction simulation have been limited. Hence, a focused mission mode program Monsoon Mission (MM) was founded 2012 to spur progress this direction. This article explains made by Earth System Science Organization (ESSO), Ministry Sciences (MoES), Government implementing MM develop dynamical framework improve monsoon...
ABSTRACT Simulation of Indian summer monsoon features by latest coupled model National Centers for Environmental Prediction ( NCEPs ) Climate Forecast System version 2 CFSv2 is attempted in its long run. Improvements the simulation as compared with previous CFSv1 accessed and areas which still require considerable refinements are introduced. It found that, spatial pattern seasonal mean rainfall wind circulations more realistic . Variance northward propagation intraseasonal oscillation ISO ),...
Large socio-economic impact of the Indian Summer Monsoon (ISM) extremes motivated numerous attempts at its long range prediction over past century. However, a rather estimated low potential predictability limit (PPL) seasonal ISM, contributed significantly by 'internal' interannual variability was considered insurmountable. Here we show that ISM sub-seasonal (synoptic + intra-seasonal) fluctuations, so far chaotic, is partly predictable as found to be tied slowly varying forcing (e.g. El...
Abstract The presence of persistent heavy fog in northern India during winter creates hazardous situations for transportation systems and disrupts the lives about 400 million people. meteorological factors responsible its genesis predictability are not yet completely understood this region. Given high potential socioeconomic impact, there is a pressing need extensive research that understands inherently complex nature phenomena through field observations modeling exercises. WiFEX...
Abstract. The rate of ice nucleation in clouds is not easily determined and large discrepancies exist between model predictions actual crystal concentration measured clouds. In an effort to improve the parameterization nucleating cloud models, we investigate heterogeneous under specific ambient conditions by knowing sizes as well two thermodynamic parameters nuclei – contact angle activation energy. Laboratory data freezing deposition modes were analyzed derive inversely for a variety...
Abstract Extended-range prediction of monsoon intraseasonal oscillations (MISOs), crucial for agriculture and water management, is limited by their event-to-event variability. Here, the authors propose a hypothesis supported number model simulations involving detailed cloud microphysical processes indicating that aerosols contribute significantly to transitions from “break” “active” phases MISO. The role aerosol indirect effect in process invigoration precipitation demonstrated with...
Abstract We examine the role of aerosol hygroscopicity ( κ ) on formation clouds and precipitation over Western Ghats (WG) in India using various numerical model simulations (i.e., particle‐by‐particle‐based small‐scale, high‐resolution mesoscale model). For diffusional growth cloud droplets, size‐dependent is used ‐Köhler equation direct simulation. The results small‐scale reveal that distribution drop size varies from initial mixing state to well‐mixed due variation . value obtained...
Abstract The potential predictability of the Indian summer monsoon rainfall (ISMR), soil moisture, and sea surface temperature (SST) is explored in latest version NCEP Climate Forecast System (CFSv2) retrospective forecast at five different lead times. focus this study to find out sensitivity ISMR initial condition through analysis variance technique (ANOVA), information‐based measure, including relative entropy (RE), mutual information (MI), classical perfect model correlation. In general,...
In this study, we propose a hypothesis, supported by numerical model simulations, concerning the role of cloud microphysical processes and aerosols in invigoration an extreme rainfall event over Uttarakhand June 2013. The interactions among dynamics, thermodynamics their feedbacks play vital occurrence events. To test proposed Weather Research Forecasting (WRF) simulations are carried out with three different schemes (i.e. WDM6, Morrison, CLR). aerosol indirect effects process precipitation...
Abstract Four years of Indian Institute Tropical Meteorology lightning location network observation data are used to determine the seasonal and spatial (over different geographical locations) distribution ratio intra‐cloud (IC) cloud‐to‐ground (CG) in thunderstorms over subcontinent. The is high (6–10) northwestern parts low (0.5–3.5) northeastern parts. No prominent latitudinal variation IC CG exists, but a climatological variability exists all regions. In pre‐monsoon season (March–May),...
Abstract With the changing climate, study of fog formation is essential due to impact complexity natural and anthropogenic aerosols. The evolution droplet size distribution in presence different aerosol species remains poorly understood. To make progress towards reducing uncertainty forecasts, Eulerian–Lagrangian particle‐based small‐scale model for diffusional growth droplets used better understand activation growth. simulations are performed using observed data from Winter Fog Experiment...
India has experienced a notable rise in the intensity, frequency, and spatial extent of extreme weather events recent decades, with precipitation along southwest coast being particularly alarming. The drivers behind these remain uncertain due to variability meteorological oceanic factors associated large-scale circulations. present study attempted identify combination dynamic, thermodynamic, cloud microphysics processes contributing anomalous over from 1-10 August 2019 against its...
In recent years, the scientific community has placed growing emphasis on impact of aerosols Indian Summer Monsoon (ISM) system. The ISM, world&#8217;s strongest monsoon system, delivers approximately 80% India&#8217;s annual rainfall from June to September, sustaining ecosystems, agriculture, and millions livelihoods. subcontinent, with its diverse geography, dense population, industrial zones, is a major source through short-range long-range transportation. Aerosols are instrumental...
With the changing climate, study of fog formation is essential and needs hour as nature has changed due to impact complexity natural anthropogenic aerosols. The chemical physical properties cloud condensation nuclei (CCN) significantly influence visibility, especially in regions like India. Ample water vapor, coupled with microphysical thermodynamic CCN, plays a vital role occurrence sustenance fog. Weather Climate models often struggle simulate droplets accurately absence aerosol indirect...
Abstract Simulation of the spatial and temporal structure monsoon intraseasonal oscillations (MISOs), which have effects on seasonal mean annual cycle Indian summer (ISM) rainfall, remains a grand challenge for state‐of‐the‐art global coupled models. Biases in simulation amplitude northward propagation MISOs related dry rainfall bias over ISM region climate models are limiting current skill prediction. Recent observations indicate that convective microphysics clouds may be critical...
ABSTRACT Role of the cloud parameterization scheme and critical relative humidity ( RHcrit ) for large‐scale precipitation is examined simulating Indian summer monsoon (ISM) by National Centers Environmental Prediction NCEP climate forecast system version 2 CFSv2 ). The major biases model simulations namely dry bias over continents, cold tropospheric temperature TT sea surface SST are related to in distribution clouds. This study evaluates role variable get better simulation high level...
Abstract The quest for one of the most dominant processes controlling large‐scale circulations in tropics is unraveled. impact cloud microphysical known to have effects on rainfall and local atmospheric thermodynamics; however, its effect prevailing mean not yet studied. Two sets coupled global climate model experiments (ICE NO ICE microphysics) reveal that ice microphysics improves strength Hadley circulation with respect observation. Results pinpoint simulation enhances high fraction...