A5023667577- Hydrology and Drought Analysis
- Flood Risk Assessment and Management
- Ocean Waves and Remote Sensing
- Climate variability and models
- Quantum optics and atomic interactions
- Hydrology and Watershed Management Studies
- Atomic and Subatomic Physics Research
- Quantum Mechanics and Applications
- Tropical and Extratropical Cyclones Research
- Quantum Information and Cryptography
- Meteorological Phenomena and Simulations
- Quantum and electron transport phenomena
- Coastal wetland ecosystem dynamics
- Topological Materials and Phenomena
- Climate Change and Health Impacts
- Climate change impacts on agriculture
- Soil Moisture and Remote Sensing
- Fluid Dynamics and Turbulent Flows
- Remote Sensing in Agriculture
- Plant Water Relations and Carbon Dynamics
- Advanced Condensed Matter Physics
- Solar and Space Plasma Dynamics
- Coastal and Marine Dynamics
- Ecosystem dynamics and resilience
- Precipitation Measurement and Analysis
Indian Space Research Organisation
2018-2025
Space Applications Services (Belgium)
2022
Indian Institute of Space Science and Technology
2017
Institute of Mathematical Sciences
2017
Generalised two-dimensional (2-D) fluid dynamics is characterised by a relationship between scalar field $q$ , called generalised vorticity, and the stream function $\psi$ ,namely $q = (-\nabla ^2)^{\frac {\alpha }{2}} \psi$ . We study transition of cascades in 2-D turbulence systematically varying parameter $\alpha$ investigating its influential role determining directionality (inverse, forward or bidirectional) these cascades. derive upper bounds for dimensionless dissipation rates energy...
Abstract. Dynamics, distribution and quality of water has a direct impact on environment its dependent human activities. Regular monitoring these hydrological processes help in understanding cycle better management policy making. Recent increase remote sensing satellites offer multiple observations with high spatial temporal resolution, thus calling for extensive use end computational resources. Google Earth Engine(GEE) is an open Application Programing Interface (API), which offers free...
Abstract Spatiotemporal analysis of droughts is important especially for future climate scenarios. We use complex network theoretic measures to understand spatiotemporal properties precipitation‐driven meteorological drought across India in past and construct networks using event synchronization (ES) moderate extreme conditions derived Standardized Precipitation Index at an aggregated scale 6 months (SPI‐6). Network like degree, closeness, betweenness directionality are used events. ES‐based...
Abstract Drought analysis is an important part of risk management plan. usually characterized by variables such as severity and duration. Using standardized precipitation index (SPI) at aggregated scale 12 months, we construct different copula models for river basins India. Based on goodness fit tests, suitable distributions are selected duration severity. These marginal then used to from amongst‐Frank, Gumbel, Clayton Student's t copula. It found that some Frank can capture the dependence...
Chern insulators arguably provide the simplest examples of topological phases. They are characterized by a invariant and can be identified presence protected edge states. In this paper, we show that local impurity in insulator induces twofold response: bound states carry chiral current net circulating around impurity. This is manifestation broken time reversal symmetry persists even for an infinitesimal potential. To illustrate this, consider Coulomb Haldane model. Working low-energy,...
Abstract Floods are one of the most common natural disasters. In recent decades, climate change has increased occurrence and severity floods, which is exacerbated by population growth. Pakistan witnessed its devastating floods during monsoon 2022. present study, spatio-temporal characteristics 2022 in Indus river basin been studied using an integrated framework multi-satellite observations hydrological modelling. Satellite sensors including Synthetic Aperture Radar (SAR), passive microwave...
Superposition of optical coherent states (SCS) [Formula: see text], possessing opposite phases, plays an important role as qubits in quantum information processing tasks like computation, teleportation, key distribution, etc. and are fundamental importance testing mechanics. Passage such SCS from a 50:50 beam splitter leads to generation entangled states. Recently, ququats qutrits defined four- three-dimensional Hilbert space, respectively, have attracted much attention they offer advantage...
The generalised two-dimensional (2D) fluid is characterised by a relationship between scalar field $q$, called vorticity, and the stream function $\psi$, namely $q = -(-\nabla^2)^\frac{\alpha}{2} \psi$. We study transition of cascades in 2D turbulence systematically varying parameter $\alpha$ investigating its influential role determining directionality (inverse, forward, or bidirectional) these cascades. identify finite critical threshold $\alpha_c$, where occurs cascade directionality,...
Superposition of optical coherent states $\left|\pmα\right\rangle$, possessing opposite phases, play an important role as qubits in quantum information processing (QIP) tasks and are fundamental importance testing mechanics. Passage such superposition (SCS) from a 50:50 beam splitter lead to generation entangled states. Recently, ququats qutrits defined four three dimensional Hilbert space respectively, have attracted much attention they offer advantage secure communication. However,...
Abstract A Very Severe Cyclonic Storm “Yaas” developed over the Bay of Bengal (BoB) on May 23, 2021, and crossed Odisha coast 26 with maximum sustained wind speed 75 kts. Herein, a pathway has been exemplified for ‘Yaas’ through three-stage cyclone-induced hazard tracking. Days before cyclone formation, Cyclone Genesis Potential Parameter, Sea Surface Temperature (SST) (> 30 0 C) Tropical Heat (anomaly 40–80 kJ/cm 2 ) indicated strong possibility cyclogenesis in BoB. Lagrangian Advection...
Spatio-temporal analysis of droughts is paramount importance especially for future climate scenarios. We use complex network theoretic measures to understand spatio-temporal properties precipitation driven meteorological drought across India in past and construct networks using Event synchronization (ES) moderate extreme conditions derived Standardized Precipitation Index at an aggregated scale 6 months(SPI-6). Network like degree, closeness, betweenness directionality are used events. ES...