Arun Ramanathan

Arun Ramanathan
École des Ponts ParisTech · Laboratory of Hydrology Meteorology and Complexity

PhD

About

10
Publications
2,098
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
15
Citations
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.
Additional affiliations
February 2020 - August 2020
Indian Institute of Technology Kharagpur
Position
  • PostDoc Position
Description
  • This temporary postdoctoral project position involves performing dynamic downscaling using the Regional Climate Model
June 2015 - August 2019
Indian Institute of Technology Kharagpur
Position
  • Senior Researcher
June 2013 - June 2015
Indian Institute of Technology Kharagpur
Position
  • Fellow
Education
June 2013 - November 2019
Indian Institute of Technology Kharagpur
Field of study
  • Atmopsheric physics
June 2011 - June 2013
Indian Institute of Technology Kharagpur
Field of study
  • Earth system science and technology
June 2007 - June 2011
Anna University, Chennai
Field of study
  • Aeronautical engineering

Publications

Publications (10)
Preprint
Full-text available
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...
Article
Full-text available
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...
Conference Paper
Full-text available
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...
Thesis
Full-text available
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,...
Article
Full-text available
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...
Article
Full-text available
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...
Article
Full-text available
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...
Conference Paper
Full-text available
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...
Article
Full-text available
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...
Thesis
Full-text available
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...

Network

Cited By

Projects

Projects (4)
Archived project
Simulating downbursts in the Indian region using a non-hydrostatic mesoscale numerical weather prediction system (WRF-ARW) to examine low-level downdraft and near-surface divergent winds of interest in Aviation weather forecasting, and investigate the factors affecting downburst generation.
Project
Quantifying the predictability limits of the storm-scale weather regime.