Anin Puthukkudy

Baltimore, MD, USA· anin_<at>_aputhukkudy_<dot>_com & anin_<at>_umbc_<dot>_edu

I am a dedicated Atmospheric Physicist holding a Ph.D. from the University of Maryland Baltimore County (UMBC), USA. My area of expertise lies in aerosol measurement and instrumentation, and I possess a strong foundation in programming languages such as Matlab and Python. I am particularly enthusiastic about the application of aerosol remote sensing techniques and the development of inverse methods to determine aerosol properties using multi-angle polarimetric observations. Throughout my academic career, I have accumulated extensive experience working with the HARP family of polarimeter data, and I have successfully employed the GRASP algorithm to retrieve aerosol properties. My interest in this field began during my undergraduate studies in Physics when I contributed to a project focused on constructing a cavity-based spectrometer for the purpose of measuring trace gases in the atmosphere.

Upon joining UMBC as a graduate student in 2014, my research interests expanded to encompass both in situ and remote sensing measurements of aerosols. Beyond my passion for atmospheric research, I am an avid backpacker who enjoys exploring national forests, an enthusiastic learner always eager to acquire new technological skills, and an informed individual who remains abreast of current events. As a valued member of our team, I am committed to advancing the understanding of aerosols and their impact on the environment. My goal is to contribute significantly to the development of cutting-edge remote sensing techniques and to the broader scientific community, while inspiring others to explore and appreciate the wonders of atmospheric physics.

Experience

Assistant Research Scientist

Earth and Space Institute, GESTAR II at UMBC

Projects

Development of an Aerosol Retrieval Algorithm for HARP2

This initiative focuses on crafting an aerosol retrieval algorithm specifically optimized for HARP2 observations, which incorporates multi-pixel data to exploit spatial and temporal correlations. By utilizing the spatially smooth variation in aerosol concentration and optical properties, alongside stable surface characteristics over brief periods, the algorithm employs optimal estimation methods to tackle this complex problem effectively. The efficacy of this approach has been validated using the GRASP algorithm and HARP2 data. Furthermore, this project will facilitate the production of Level 2 aerosol and surface products from HARP2. Currently in the implementation phase, we are collaborating with the NASA PACE SDS team to deploy this algorithm on their distributed system. The system is designed to process each data granule daily, although there is some expected latency due to the intensive computational resources required.

On-orbit Calibration/Validation (Cal/Val) Activities for HARP2 on NASA PACE

This project entails the continuous monitoring of HARP2's radiometric and spectral calibration. By leveraging the capabilities of other instruments on the PACE platform, such as OCI and SPEXOne, we can assess changes in HARP2's calibration through inter-instrument comparisons. OCI, which shares a wide swath similar to HARP2, allows for cross-referencing observations at -20 and 20-degree viewing angles for top-of-atmosphere (TOA) reflectance. Meanwhile, SPEXOne, with its narrower swath, provides a means to compare polarimetric observations at -50, -20, 0, 20, and 50-degree viewing angles. Additionally, this project includes tracking the radiometric calibration by observing stable Earth targets, such as PICS.

Development of a Digital Twin for an Advanced Version of the HARP2 Instrument (Phase A Study for NASA AOS Mission)

This initiative focuses on creating an instrument simulator that models the path of rays reaching the test instrument at the Top-Of-Atmosphere (TOA). Essentially, the project aims to develop an orbit simulator for any instrument capable of measuring the I, Q, U, and V components of the Stokes vector. This includes simulating the orbit at a specific altitude and inclination, if applicable. With the simulated orbit, based on the instrument's configuration such as swath and pixel footprint, we can calculate the sun-satellite geometry at the pixel level. Leveraging this data, along with climatological information and a 3D/1D radiative transfer code, we can approximate the actual observations made by an instrument with a certain degree of accuracy. This simulation will help us evaluate the performance of the retrieval algorithm in relation to the specific instrument configurations. Consequently, this aids in the selection of spectral bands, viewing angles, resolution, and radiometric and polarimetric accuracies necessary to achieve the desired accuracy of aerosol retrieval products.

April 2024 - Present

Post-Doctoral Research Associate

Goddard Earth Sciences Technology and Research (GESTAR) II, UMBC and NASA GSFC

Projects

Development of an On-Orbit Calibration Scheme for the HARP CubeSat and Aerosol Retrieval Algorithm

This project involves continuous monitoring of the radiometric accuracy of observations made by the HARP CubeSat, in conjunction with other instruments such as MODIS, VIIRS, and ABI. Observations collocated with these reference instruments are utilized to validate the radiometric accuracy of the CubeSat. Additionally, the high-altitude Lake Titicaca is used to verify the polarimetric accuracy, where the low aerosol presence simplifies atmospheric correction. With these corrected observations from HARP, aerosol loading retrievals at collocated AERONET stations are conducted to validate the accuracy of the retrieved aerosol data.

Evaluation of Multi-Angle Polarimeter Aerosol Retrievals Effectiveness from the CAMP2Ex Field Campaign

Utilizing actual Particle Size Distribution (PSD) measurements, Top-Of-Atmosphere (TOA) observation was simulated for a conceptual MAP instrument in a 600 km sun-synchronous orbit. By employing various sun-satellite geometries, millions of pixel observations were simulated to encompass a broad range of aerosol and surface characteristics. This approach allowed us to assess the retrieval accuracy, particularly as the complexity of the inverse problem increased from simple to more complex forward modeling. This analysis is crucial for potential users of Level 2 products derived from MAP observations, as the uncertainties identified in this study offer insights into the accuracy of derived and retrieved aerosol properties such as Aerosol Optical Depth (AOD), Single Scattering Albedo (SSA), Angstrom Exponent (AE), Absorption Aerosol Optical Depth (AAOD), refractive index, effective radius, shape, and size distribution.The computational resources for this project were provided by the NASA NCCS DISCOVER HPC system.

Designed and constructed an HPC cluster [nyx.esi.umbc.edu]

HPC is specifically tailored to expedite aerosol retrievals from multi-angular polarimetric observations. This setup was engineered to maintain ultra-low instrument costs while achieving the highest computational efficiency, measured in FLOPS per watt. Additionally, the project included the development of a storage cluster with approximately 0.8PB of capacity, dedicated to managing HARP2 data analysis, encompassing both laboratory calibration measurements and on-orbit observations.

October 2021 - March 2024

Graduate Research Associate

Physics Department, UMBC, USA

Projects

Measurement of Microphysical and Optical Properties of Volcanic Ash

In the laboratory, volcanic ash samples are resuspended to assess their microphysical and optical properties. This is achieved using a Polarized Imaging Nephelometer and a Spectral Reflectometer, which respectively analyze the angular light scattering patterns and absorption characteristics of the volcanic ash. Furthermore, samples are collected on a Nuclepore filter after resuspension and subsequently examined using a Scanning Electron Microscope (SEM) to provide detailed imaging of the ash particles to inform on the size and shape of the particles.

Aerosol Retrieval Algorithm for Extracting Aerosol Products from AirHARP Observations

This research algorithm is designed to perform aerosol retrievals based on data collected by the airborne version of the HARP instrument (AirHARP) during the NASA ACEPOL and LMOS campaigns. The algorithm processes these observations to extract aerosol properties. The retrieved aerosol products are then compared with aerosol optical depths derived from HSRL2 measurements and collocated AERONET observations to validate their accuracy and reliability.

Data analysis of Polarized Imaging Nephelometer data

Analysis is carried out on aerosol measurements obtained with the polarized imaging nephelometer during NASA's DC3 and SEAC4RS airborne campaigns

August 2016 - October 2021

Undergraduate Research Associate

Applied Optics Lab, NIT Calicut, India

Projects

Development of Atmospheric Trace Gas Measurement Instruments Using Cavity Enhanced Absorption Spectroscopy

As an undergraduate research assistant, I was involved in designing the CAD model of an instrument that measures NO3 and NO2 trace gases in the visible spectral range. This instrument utilizes a high-fidelity cavity and spectrometer to enhance the path length. By employing the spectral cross-section data from the HITRAN database and using the Singular Value Decomposition (SVD) technique, the instrument can measure NO3 concentrations down to 2-3 parts per trillion and NO2 concentrations in parts per billion with high accuracy.

Design and Construction of an Integrating Nephelometer

I designed and built an integrating sphere nephelometer from scratch within a month to measure light scattering at 532 nm. This device was developed to measure the scattering efficiency of aerosol particles for gas chamber measurements at University College Cork, Ireland.

August 2012 - June 2014

Education

University of Maryland Baltimore County

Doctor of Philosophy
Atmospheric Physics

Thesis: Retrieval of aerosol properties using Polarized Imaging Nephelometer (PI-Neph) laboratory measurements and Hyper-Angular Rainbow Polarimeter (HARP) remote sensing observations.

Advisor: Dr. J. Vanderlei Martins
August 2016 - October 2021

University of Maryland Baltimore County

Master of Science
Atmospheric Physics

August 2014 - December 2016

National Institute of Technology Calicut

Bachelor of Technology
Engineering Physics

Thesis: Incoherent Broadband Cavity Enhanced Absorption Spectroscopy for the detection of trace gases using deep red LED.

Advisor: Dr. Ravi Varma MK
August 2010 - June 2014

Publications

Journal Articles
Selected Conference Presentations and Posters

Skills

Programming Languages & Tools
Packages & Softwares

Research Interests

I have a broad range of research interests, including but not limited to the following:

  • Research, design, develop, implement, and support decision-science models
  • Aerosol measurement and instrumentation
  • Remote sensing of aerosols and clouds using multi-angle imaging polarimeters
  • Professional Affiliations and Activities

    Member of the American Geophysical Union (AGU)

    Reviewer for the journals: Remote Sensing of Environment, Geophysical Review Letters, Atmospheric Environment, Atmospheric Measurement Techniques (AMT), Journal of Quantitative Spectroscopy and Radiative Transfer (JQSRT), Optics Express, Review of Scientific Instruments, Remote Sensing, Journal of Applied Remote Sensing (JARS), Journal of Aerosol Science, and Atmosphere, IEEE Trans. on Geoscience and Remote Sensing, Journal of the Atmospheric Sciences, Limnology and Oceanography: Methods, Frontiers in Remote Sensing.

    Editor for the special edition titled ‘Optical and Laser Remote Sensing of the Atmospheric Aerosol and Trace Gases Monitoring’ in the journal Remote Sensing. Initial discussions with the managing editor are underway, with the special issue announcement anticipated by April 2025

    Other Interests

    Apart from being a atmospheric research scientist, I enjoy most of my time being outdoors. I enjoy biking, hiking, backcountry camping.

    When forced indoors, I follow a number of sci-fi and fantasy genre movies and television shows, I am an aspiring chef, and I spend a large amount of my free time exploring the latest technology advancements in the scientific computing world.

    News

    Awards & Certifications