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2026 Students' Page

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 2026 Project Slides

Intern	Mentor	Project
Safwah Ashraf	Annika Jersild	Using Machine Learning Systems to Explore the Impact of Data Quality on Surface Ocean pCO₂ View Slides
Aditya Bansal	Malarvizhi Arulraj	Physical Drivers of Cloud-Top Phase Transitions in Orographic Precipitation View Slides
Duncan Cayenne-McCall	Xin Jing, Xi Shao & Yong Chen (NOAA)	Analysis and Validation of PlanetiQ RO TEC Data Processed by PlanetiQ, CDAAC, and STAR View Slides
Kathy Chen	Corinne Carter	Validation of NOAA Satellite Vegetation Phenology View Slides
Lindsay Chu	Annika Jersild & Andrea Molod (NASA)	Observational Data Impacts on the NASA GEOS-S2S-3 Model Analysis of the Ocean View Slides
Vir Gandhi	Priyanka Yadav & Michael Bosilovich (NASA)	A Teleconnection Reanalysis and Forecast Monitoring Tool for GMAO Model Products View Slides
James Hawkins	Bin Zhang, Xi Shao & Changyong Cao (NOAA)	Radio Frequency Interference (RFI) Detection from Radio Occultation Measurements View Slides
Oliver Jiang	Yongzhen Fan	Image Based Deep Learning Snowfall Rate Model for Passive Microwave Sensors View Slides
Imaan Kasim	Natalie Memarsadeghi (USACE-ERDC-CHL)	Projected Land Cover Change Analysis and Flood Extent & Sensitivity in the Lower Mississippi River Basin View Slides
Jonathan Li	Qing Yang	AI-Powered Satellite Flood Mapping, Impact Assessment, and Real-Time Web Visualization View Slides
Yixuan Li	Heshun Wang & Emily Faber	Leaf Area Index Derivation from ABI using a Cloud-Based Machine Learning Approach View Slides
David Liu	Yan Bai, Xi Shao & Changyong Cao (NOAA)	Satellite Orbit Simulation to Support Sensor Calibration/Validation View Slides
George Liu	Likun Wang	Persistent Microwave Storm Analysis by GOES-18 Optical-Flow Advection View Slides
Felix Ozpaker	Jun Dong & Shuyan Liu	Development of NOAA Precipitation Portal - PrecipWatch View Slides
Felix Ozpaker	Yuling Liu	Estimating Near-Surface Air Temperature from Satellite Land Surface Temperature Using Machine Learning View Slides
Sungmin Park	Yulan Hong	Machine-Learning Snowfall-Rate Retrieval View Slides
Anh Pham	Guangyang Fang	Visualizing Climate and Weather Processes in P.G. County View Slides
Beatrice Polk	Heshun Wang & Emily Faber	Developing Random Forest Models towards Creating LAI Products from VIIRS Data View Slides
Abdur-Rahman Shakir	Guangyang Fang	Atmospheric Visualization Using Augmented Reality View Slides
Raghav Sharma	Liqing Jiang	Modernizing the Design of the OAP Scientific Data Information System (SDIS) Metadata Editor View Slides
Maria Stepanyan	Anton Darmenov (NASA)	A Framework for Quantifying the Value of Earth System Products
Claire Sun	Yuling Liu	Preliminary Evaluation of the Local Thermal Impacts of Data Centers Using Satellite Land Surface Temperature Products View Slides
Kuan Chieh Tsou	Xi Shao, Tung-Chang Liu & Changyong Cao (NOAA)	Development of an integrated IoT-based Atmospheric Sensing Platform View Slides
Nishant Vellanki	Xinjia Zhou, Xi Shao & Yong Chen (NOAA)	Development of the Monitoring and Visualization Website for NOAA GNSS-RO Space Weather Products View Slides
Ziang Wang	Xi Shao, Bin Zhang & Yong Chen (NOAA)	Analysis of Ionospheric Electron Density Responses to Geomagnetic Storm using Radio Occultation Data View Slides
Ian Way	Guangyang Fang	Prince George’s County Mixed Reality Visualization View Slides
Jun Yu	Zhen Song	Large-scale Land Surface Disturbance Detection for North America using VIIRS Green Vegetation Fraction Products View Slides
Mohammad Bolboli Zadeh	Isaac Moradi	Application of ML in Producing Look Up Tables for RT Models View Slides
Michael Zhang	Liqing Jiang	Application of AI to a Matlab-based Quality Control Program View Slides

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