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Introduction
Researcher, interested in multifractal cascade dynamics and the intrinsic predictability limits of chaotic, complex systems. My education and doctoral research have cemented this interest in the nonlinear dynamics of turbulent flows and geophysical systems into a passion. I greatly enjoy carrying out fundamental theoretical research with potential practical applications. I am interested in the fields of atmospheric turbulence, predictability, and prediction of convective weather phenomena.
Skills and Expertise
Additional affiliations
Education
June 2013 - November 2019
June 2011 - June 2013
June 2007 - June 2011
Publications
Publications (14)
Hydrological behaviour of granular substrates is of critical interest in Nature-based solutions (NBS) like green roofs. To simulate this behaviour in a physically realistic manner it is indispensable to model the substrate's hydraulic conductivity (HC) as it determines infiltration rate at various degrees of saturation. Since HC is directly depende...
Hydrological behaviour of granular substrates is of critical interest in Nature Based Solutions (NBS) like green roofs. To simulate this behaviour in a physically realistic manner it is indispensable to model the substrate’s Hydraulic Conductivity (HC) as it determines infiltration rate at various degrees of saturation. Since HC is directly depende...
Hydrological applications such as storm-water management usually deal with region-specific reference rainfall regulations based on intensity–duration–frequency (IDF) curves. Such curves are usually obtained via frequency analysis of rainfall and exceedance probability estimation of rain intensity for different durations. It is also common for refer...
Hydrological applications such as storm-water management or flood design usually deal with and are driven by region-specific reference rainfall regulations or guidelines based on Intensity-Duration-Frequency (IDF) curves. IDF curves are usually obtained via frequency analysis of rainfall data using which the exceedance probability of rain intensity...
Plain Language Summary
Convective systems (a collection of convective cells) in the atmosphere typically span the entire troposphere in height, while ranging only a few hundred kilometers in the horizontal direction. Atmospheric fields exhibit wide range of scaling in both the horizontal and vertical directions with roundish structures at scales mu...
Abstract
Hydrological applications such as flood design usually deal with and are driven by region-specific reference rainfall regulations, generally expressed as Intensity-Duration-Frequency (IDF) values. The meteorological module of hydro-meteorological models used in such applications should therefore be capable of simulating these reference ra...
Quantifying the predictability limits of complex geophysical systems such as the
atmosphere is crucial for understanding the possibility of reliably predicting their
future states. However, earlier studies dealing with the predictability of atmospheric felds frequently neglect intermittency and anisotropy, which are typical
features of such felds,...
Theoretical predictability measures of turbulent atmospheric flows are essential in estimating how
realistic the current storm-scale strategic forecast skill expectations are. Atmospheric predictability
studies in the past have usually neglected intermittency and anisotropy, which are typical features
of atmospheric flows, rendering their applicati...
General Comments: This paper deals with an important geophysical issue, namely the scaling properties of plumes within and above the surface friction layer of convective atmospheric boundary layers, and therefore suits the scope of Nonlin-ear Processes in Geophysics (NPG) journal. Although the present version of this manuscript is mostly well-writt...
A correlation-spectra based approach is used to express the theoretical predictability limits of multifractal processes as an analytical function of their anisotropy parameters. This spatially-anisotropic power-law function is then used to investigate the general impact of anisotropy on the predictability of atmospheric fields in the weather regime...
Recent advances in multifractal cascade dynamics, analysis techniques and availability
of data have made the understanding of the fundamental space-time variability of atmospheric
fields possible over a wide range of scales. This wide-range scaling paradigm unifies all three
regimes: namely weather, macroweather, and climate through high-level emer...
Continuous-in-scale multifractal cascades has long been an attractive choice for mathematically modeling turbulent and turbulent-like geophysical fields. These fields are usually anisotropic as they are subject to both stratification and rotation, thereby questioning the isotropy assumption often made to model them. The self-affine and generalized...
A non-hydrostatic mesoscale numerical weather prediction system (WRF-ARW) is used to simulate downbursts in the vicinity of Kolkata during a squall line thunderstorm in the pre-monsoon season to examine the downdraft at low levels and near-surface divergent winds of interest to aviation weather forecasters, obtain a clear picture of the generation...