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Puneet Sharma

Research Scholar

CAS, IIT Delhi

Welcome!

I am a research scholar working in the field of cloud and aerosol modelling at the Centre for Atmospheric Sciences, IIT Delhi. My research interests include designing equilibrium and transient climate simulations, running the global climate model and statistically analyzing the model output together with various in-situ and satellite observations in order to understand various highlights and challenges in the model parametrization schemes.

This site is a personal blog. I will be posting blogs related to my work, some on programming and may be some random thoughts on life in general. And since I am also a big foodie, I am gonna share some of my food adventures too… 😀

Interests

  • Climate Change
  • Climate Modeling
  • Aerosol-Cloud Interaction
  • Statistics
  • Python & R Enthusiast

Education

  • PhD in Atmospheric Sciences, 2019

    IIT Delhi

  • MSc in Physics, 2012

    Jamia Millia Islamia

  • BSc in Instrumentation, 2009

    Jamia Millia Islamia

Experience

 
 
 
 
 

Ph.D. Research Scholar

Centre for Atmospheric Sciences, IIT Delhi

Jul 2014 – Present Delhi
Research includes:

  • Understanding role of aerosols in influencing clouds
  • Aerosol-Cloud interaction
  • Simulation and satellite observations data analysis
 
 
 
 
 

M.Sc. Student

Jamia Millia Islamia

Jun 2010 – Jun 2012 Delhi
–> Majored in Laser physics and Spectroscopy.

Accomplish­ments

Recent Publications

Quickly discover relevant content by filtering publications.

Climate response of the south Asian monsoon system to West Asia, Tibetan Plateau and local dust emissions

The equilibrium climate response of the south Asian monsoon (SAM) system to West Asia (WA), Tibetan Plateau (TP) and local dust …

Impact of West Asia, Tibetan Plateau and local dust emissions on intra-seasonal oscillations of the South Asian monsoon rainfall

In the present study, we examine the responses of South Asian Monsoon (SAM) rainfall at intra-seasonal scale to remote dust emissions …

Aerosol-Cloud interaction over the Bay of Bengal during polluted winter season: A modelling perspective.

Critical evaluation of complex parametrization schemes such as for aerosol–cloud interaction (ACI) implemented in global climate models …

Recent Talks

Understanding Climate Model Evaluation and Validation

Talk about climate model evaluation

Recent Blogs

Getting reliable K in K means clustering

Instead of finding K in K means clustering through visualization, let us find K mathematically.

Bootstrapping, Monte Carlo and all that… — Part2

Second part of bootstrapping and monte carlo. Applying the theory through python and practical examples

Beginning with R — The uncharted territory Part 2

Second part of initial introduction to R. Topics include arrays, factors and dataframes.

Beginning with R — The uncharted territory Part 1

Initial introduction to R. Topics include data types, data structures such as named lists, vectors and matrices.

Bootstrapping, Monte Carlo and all that… — Part1

Extracting relevant results from a particular dataset requires a rigorous understanding of its statistical properties - mainly the type of distribution the data possesses. For some underlying statistical distribution in the data, parametric tests are applied to infer statistical properties of a particular estimator. It may also happen that the data does not possess any specific statistical distribution in which case, nonparametric tests are applied. In statistical paradigm, we define an estimator to be a rule to conclude statistic of some unknown parameter from the data.

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