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Students' Page

This slide show features student work with links to student pages

Global Ocean Carbon Data

Safwah Ashraf’s project with mentor Annika Jersild investigated whether the quantity or quality of training data has a greater impact on the uncertainty of machine learning estimates of partial pressure of carbon dioxide in surface seawater.

Mountain Storms

Aditya Bansal investigated the physical drivers of cloud-top phase transitions in orographic precipitation with his mentor Malarvizhi Arulraj.

Radio Occultation

Duncan Cayenne-McCall worked with mentors Xin Jing, Xi Shao, and Yong Chen to validate and compare total electron content (TEC) data produced by the PlanetiQ satellite constellation.

Vegetation Phenology

Kathy Chen worked with her mentor Corinne Carter to validate satellite phenology by comparing NOAA’s VIIRS Green Vegetation Fraction (GVF) satellite data against ground-based data.

Data Assimilation

Lindsay Chu contributed to an effort in the NASA Global Modeling Assimilation Office (GMAO) that is quantifying the impacts of in-situ ARGO observations on the analysis of the ocean with her mentors Annika Jersild and Andrea Molod.

Teleconnection Reanalysis

Vir Gandhi contributed to an effort in the NASA Global Modeling Assimilation Office (GMAO) that computes the dominant modes of variability in the atmosphere-ocean-land-ice system with his mentors Priyanka Yadav and Michael Bosilovich.

RFI Detection Algorithms

James Hawkins worked with mentors Bin Zhang, Xi Shao, and Changyong Cao to analyze different algorithms that compute radio frequency interference (RFI) using radio occultation data from several satellites.

Deep Learning

Oliver Jiang investigated image-based deep learning models and how they can improve NOAA’s operational ATMS Snowfall Rate (SFR) product with mentor Yongzhen Fan.

Flood Extent Projections

Imaan Kasim worked with mentor Natalie Memarsadeghi on a U.S. Army Corps of Engineers study on the impact of land cover and hydrology changes on future flood risks in the Lower Mississippi River region.

Flood Monitoring

Jonathan Li worked with mentor Qing (Henry) Yang to develop a full-stack flood monitoring web application that enables users to interactively visualize Sentinel-1 SAR-derived flood classification data over time and geographic regions.

Leaf Area Index

Yixuan Li developed and evaluated a machine learning approach to estimating Leaf Area Index (LAI) from observations that were collected by GOES-19 Advanced Baseline Imager (ABI) with his mentors Heshun Wang and Emily Faber.

Satellite Orbit Simulation

David Liu studied Two-Line Element sets (TLEs), perturbations, and their impact on orbit prediction accuracy with his mentors Yan Bai, Xi Shao, and Changyong Cao.

Microwave Observations

George Liu’s project with mentor Likun Wang demonstrated that geostationary infrared imagery could provide a useful motion framework for carrying intermittent microwave observations between polar-orbiting overpasses.

Precipitation Portal

Felix Ozpaker worked with his mentors Jun Dong and Shuyan Liu on the initial development of a NOAA precipitation portal called PrecipWatch, which integrates multiple precipitation datasets into a common web-based environment.

Temperature Estimation

Felix Ozpaker developed a machine learning pipeline that integrates land surface temperature (LST) and ground-based observations to estimate daily maximum and minimum near-surface air temperature with his mentor Yuling Liu.

Snowfall Rate Retrieval

Sungmin Park investigated machine learning methods used to estimate Snowfall Rate (SFR) from satellite observations with his mentor Yulan Hong.

Virtual Reality Visualizations

Anh Pham worked with mentor Guangyang Fang to develop scientifically accurate, data-driven virtual reality (VR) visualizations of local weather processes in Prince George’s County, MD and the broader region.

Model Experiments

Beatrice Polk studied random forest models for generating Land Area Index (LAI) from satellite data with her mentors Heshun Wang and Emily Faber.

Augmented Reality

Abdur-Rahman Shakir worked with mentor Yulan Hong to analyze lake-effect snow cases in the Great Lakes region using GEO-LEO observations to enhance the performance of the snowfall rate algorithm on the lake-effect snow system.

Enhanced Metadata Interface

Raghav Sharma modernized the design of the Ocean Acidification Program (OAP) Scientific Data Information System (SDIS) metadata editor with his mentor Liqing Jiang.

Land Surface Temperature

Claire Sun worked with mentor Yuling Liu on the preliminary evaluation of the spatial extent and temporal characteristics of data center thermal effects using land surface temperature (LST) products across stations in different climate zones.

Environmental Sensing

Kuan Chieh Tsou’s project with mentors Xi Shao, Tung-Chang Liu, and Changyong Cao (NOAA) focused on the development of an IoT-based atmospheric sensing platform with real-time data made available online for monitoring.

Space Weather

Nishant Vellanki worked with mentors Xinjia Zhou, Xi Shao, and Yong Chen (NOAA) to improve the GNSS-Radio Occultation webpage to support integrated data processing monitoring, data quality assessment, and sensor performance validation.

Geomagnetic Storms

Ziang Wang analyzed ionospheric electron density responses to geometric storms using radio occultation data the with mentors Xi Shao, Bin Zhang, and Yong Chen (NOAA).

Mixed Reality Visualization

Ian Way worked with his mentor Guangyang Fang to develop a standalone mixed reality (MR) application for the interactive visualization of Prince George’s County, Maryland, which will incorporate environmental, weather, and climate information.

Vegetation Disturbance

Jun Yu developed an automated continental-scale disturbance detection framework across North America from 2023 to 2026 using Green Vegetation Fraction (GVF) satellite data with her mentor Zhen Song.

Radiative Transfer

Mohammad Bolboli Zadeh worked with his mentor Isaac Moradi to apply machine learning methodology to producing Look Up Tables for Radiative Transfer (RT) models.

Quality Control

Michael Zhang worked with his mentor Liqing Jiang to improve the Common Online Data Analysis Platform (CODAP) QC tool suite, a set of MATLAB applications that oceanographers use to visually check cruise data for errors.

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Summer Intern 2024 Project Slides

Summer Intern	Mentor	Project
Thomas Ely	Shobha Kondragunta & Zigang Wei	Merged LEO-GEO Tropospheric Nitrogen Dioxide Product View Slides
Katie Yang	Heshun Wang	Vegetation Fraction Estimation with Machine Learning View Slides
Lauren Johnson	Andrew Badger	Drought Replication Skill using Noah-MP and Observed Vegetation View Slides
Areg Gevorgyan	Guangyang Fang	Visualizing Types of Lightning Using Virtual Reality View Slides
Brandon Yu	Jun Dong	Polar-orbit Satellite Swath Snowfall Detection Prediction using Two-line Element and Weather Model Data View Slides
Shujia Zhang	Guojun Gu	Monitoring Height Changes of Small Satellites View Slides
Matias Calderon	Hu (Tiger) Yang	Development of a Scanning Microwave Radiometer View Slides
Nathan Ho	Hu (Tiger) Yang	Prototype Development for a Hyperspectral Microwave Radiometer View Slides
Carolyn Catan	Hu (Tiger) Yang	Long-Range Wireless Data Transfer for a Microwave Radiometer View Slides
Jason Chen	Hu (Tiger) Yang	Remote Data Monitoring and Signal Control for a Scanning Microwave Radiometer View Slides
Angela Lei	Jicheng Liu & Jifu Yin	Validation of SMOPScdr Product using ISMN Observations View Slides
Matthew Heinz	Peng Yu & Jingjing Peng	Investigation of Wildfire Risk using Multiple Remote Sensing Parameters View Slides
Rosalyn Fang & David Liu	Xi Shao, Changyong Cao, Sirish Uprety, & Chun-Kai Hsu	Study of Atmospheric Polarization with Ground-based Robotic Hyperspectral Measurements and HARP2 Data Analysis View Slides
Zhuoyu Yang	Xingming Liang	Machine Learning-Based TPW Retrieval for the 22 GHz Radiometer View Slides
Thomas Huitema	Jifu Yin	Development of CYGNSS Soil Moisture using a Machine Learning Model View Slides
Annika Means & Oliver Wang	Xi Shao, Changyong Cao, Sirish Uprety, & Chun-Kai Hsu	UV-Visible Light Absorbance Analysis of Water Quality and PACE OCI Hyperspectral Data Analysis and Classification View Slides
Jiarui Li	Peter James Beierle	Optimizing Neural Networks for Carbon Dioxide Vertical Profile Retrieval View Slides
Arnav Poddar & Shuyi Zhang	Xi Shao, Sirish Uprety, & Tung-chang Liu	Robotic Hyperspectral BRDF Measurement System Improvement, Field Measurement and Data Analysis View Slides
Vivaswan Kopparapu	Manik Bali	Prompt Engineering for Generating Review Articles for GSICS Newsletter View Slides
Jacob Lin	Fangfang Yu	Exploring Satellite Image Registration with AI View Slides
Richard Hu	Fangfang Yu	Detecting Satellite Calibration Anomalies Using AI View Slides
Chelsea Sun	Yuling Liu	A Preliminary Evaluation of SNPP VIIRS Land Surface Temperature Product with Landsat 8 Data View Slides
Damian Figueroa	Guangyang Fang	Immersive Geoscience Education at the Virtual Proving Ground & Training Center (PGTC) View Slides
Samuel Wiggins	Guangyang Fang	Visualizing Stages of the Earth's Water Cycle Using Virtual Reality View Slides
Roger Yang	Jingjing Peng & Peng Yu	Quantifying Heat Wave Cost and Mortality View Slides
Riya Thapar	Xi Shao, Yong Chen, & Xinjia Zhou	Radio Occultation Webpage View Slides
Alvin Tung	Li Fang	Optimizing the Output of a Remote Sensing Physical Model using Machine Learning Algorithms View Slides
Alan Wang	Heshun Wang	LSTM-Based Forecasting and Anomaly Detection of LAI Satellite Image Time Series View Slides
Jolie Wu	Guangming Zheng & Megan Coffer (NOAA)	Building a ML Model to Map Aquatic Vegetation in the Chesapeake Bay using LandSat 8 Satellite Imagery View Slides
Annika Wong	Jingjing Peng & Peng Yu	Downscaling GOES-R LST to Landsat Spatial Resolution While Maintaining Temporal Resolution View Slides
Alina Liu	Yuan Zhou	Correlation of Meteorological Parameters with Vegetation Patterns Globally and Regionally in the Past Decades View Slides
Kenny Wu	Jingjing Peng & Peng Yu	Web Platforms for Visualizing Monthly and Daily Land Surface Anomalies View Slides
Sungmin Park & Zhuoyu Yang	Xingming Liang	The Effect of Different Surface and Atmosphere States on AI_CRTM View Slides
Bo Cheung, Adam Clark, Ponnage Bethni Aloka Fernando, Jack Pawlowski, & Humberto Tolentino	Daile Zhang	Lightning Observations and Analysis of Storms across the USA View Slides
Ainsley Giles	Javier Villegas Bravo	A Machine Learning Approach to Wildfire Detection View Slides
Reni Kaza	Malarvizhi Arulraj & Veljko Petkovic	Visualizing the Performance of Satellite Precipitation Data View Slides
Aashay Zanpure	Veljko Petkovic	Investigating a Machine-Learning Approach for Satellite Precipitation Retrievals View Slides

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