A5041347470- Meteorological Phenomena and Simulations
- Climate variability and models
- Tropical and Extratropical Cyclones Research
- Precipitation Measurement and Analysis
- Hydrology and Drought Analysis
- dental development and anomalies
- Orthodontics and Dentofacial Orthopedics
- Flood Risk Assessment and Management
- Ocean Waves and Remote Sensing
- Atmospheric and Environmental Gas Dynamics
- Dermatoglyphics and Human Traits
- Reconstructive Facial Surgery Techniques
- Groundwater and Watershed Analysis
- Digital Marketing and Social Media
- Temporomandibular Joint Disorders
- Dental Implant Techniques and Outcomes
- AI in Service Interactions
- Hydrology and Watershed Management Studies
- Hydrological Forecasting Using AI
- Forensic Anthropology and Bioarchaeology Studies
- Atmospheric chemistry and aerosols
- Dental Research and COVID-19
- Atmospheric aerosols and clouds
- Water Quality and Pollution Assessment
- Water resources management and optimization
Meteorological Service Singapore
2022-2023
National Institute of Hydrology
2023
National Centre for Medium Range Weather Forecasting
2014-2022
Ministry of Earth Sciences
2014-2022
University of Petroleum and Energy Studies
2022
Maharshi Dayanand Saraswati University
2021
Central University of Rajasthan
2014-2016
Rajasthan Dental College and Hospital
2014-2015
On 17th June 2013 the state of Uttarakhand in India (Latitude 28.72°N to 31.45°N and Longitude 77.57°E–81.03°E) received more than 340 mm rainfall, which is 375% daily normal (65.9 mm) rainfall during monsoon. This caused heavy floods as well unprecedented damage life property. In this study we aim at assessing performance two deterministic forecast models, Global Forecast System (GFS/T574) Unified Model (NCUM), run NCMRWF, predicting observed over region 17–18th June, 2013. Verification...
Abstract Rise in mean temperature put a great deal of uncertainty about how weather and climate extremes may play out, particularly India's varied climatic zones. Consequently, it is important to understand the possible changes both magnitude direction like rainfall for different warming levels 1.5 2°C scenarios concerning preindustrial present levels. Hence study, precipitation behavior seven North Indian states that is, Haryana, Himachal Pradesh, J&K, Punjab, Rajasthan, Uttar...
Abstract The southern Indian state of Kerala experienced exceptionally high rainfall during August 2018, which led to devastating floods in many parts the state. Prediction and early warning severe weather events vulnerable areas is crucial for disaster management agencies order protect life property. In recent years, state‐of‐the‐art numerical prediction (NWP) models have been used operationally predict over different spatial temporal scales. present paper, predictions based on National...
The impact of climate change on the hydro-climatology Indian subcontinent is investigated by comparing statistics current and projected future fluxes resulting from three RCP scenarios (RCP2.6, RCP4.5, RCP8.5). Climate projections CORDEX-South Asia framework have been bias-corrected using Distribution-Based Scaling (DBS) method used to force HYPE hydrological model generate evapotranspiration, runoff, soil moisture deficit, snow depth, applied irrigation water soil. We also assess changes in...
The daily rainfall over India during the monsoon season (June-September) is governed by interplay of large-scale, synoptic and mesoscale disturbances, many which are sporadic spells extremely intense.These often bring extreme amounts rain only a few days, can have sizable impacts on estimated seasonal mean rainfall.The record 100 cm/day in Mumbai 26 th July, 2005 an outlier/extreme at 20 standard deviations for activity typical June-September average 18 mm/day with deviation 28 mm/day.While...
The real time medium range rainfall forecasts of NCMRWF's Global Forecast System (NGFS) are evaluated over India (land only) against 0.5 degree gridded (IMD-NCMRWF) observations during JJAS 2010-2013 using the features-based Contiguous Rain Area (CRA) method.The model resolution is about ~35 km in 2010 and 25 2011-2013.The emphasis this study spatial verification associated with Bay Bengal low pressure systems that cause wide spread eastern central parts India.Based on IMD reports, 45...
A one of the greatest concerns with orthodontic mini-implants is risk injury to dental roots during placement is, especially when they are inserted between teeth. Many techniques have been used facilitate safe interradicular miniscrews. Brass Wires or metallic markers easy place in interproximal spaces, but because their relative positions may be inconsistent different radio -graphic views, not always accurate. K.S. micro implant guide suggested this article simple design and fabrication,...
A common issue faced by the downscaled regional ensemble prediction systems is under-dispersiveness of forecasts, often attributed to lack spread under initial conditions from global ensemble. In this study, a novel method that adopts an adaptive approach selecting members for downscaling has been developed. Instead using fixed set pre-selected members, selection performs sampling algorithm and selects which maximizes fractions skill score (FSS)-based displacement between members. The...
Abstract. Prediction of heavy rains associated with orography is still a challenge, even for the most advanced state-of-art high-resolution Numerical Weather (NWP) modeling systems. The aim this study to evaluate performance UK Met Office Unified Model (UM) in predicting and very rainfall exceeding 80th 90th percentiles which occurs mainly due forced ascent air parcels over mountainous regions Western Ghats (WGs) North East (NE) – states India during monsoon seasons 2007 2018. Apart from...
Singapore is a tiny city-state located in maritime Southeast Asia. Weather systems such as localized thunderstorms, squalls, and monsoon surges bring extreme rainfall to Singapore, influencing the day-to-day conduct of stakeholders many sectors. Numerical weather prediction models can provide forecast guidance, but existing global struggle capture development evolution small-scale transient impacting region. To address this, has collaborated with international partners developed regional...
Last decade has seen a tremendous improvement in the forecasting skill of numerical weather prediction (NWP) models. This is attributed to increased sophistication NWP models, which resolve complex physical processes, advanced data assimilation, grid resolution and satellite observations. However, heavy rains still challenge since models exhibit large error amounts as well spatial temporal distribution. Two state-of-art have been investigated over Indian monsoon region assess their ability...