Cooperative Institute for Climate & Satellites - Maryland

CISESS Summer Interns' Page

Students' Page

This slide show features student work with links to student pages

Convection Cell Tracking

James Hawkins & Shawna Hu worked with mentors Xi Shao, Changyong Cao (NOAA), Yan Bai, & Feng Zhang to develop a machine learning model for detecting convection cells and quantifying attributes of the cells for use in nowcasting.

Lightning Observations

Keaton Kirkland monitored cameras within the Raspberry Pi camera network and analyzed videos for the purpose of validating GOES-R Geostationary Lightning Mapper and DC Lightning Mapping Array data with mentor Guangyang Fang.

Soil Moisture Dataset

Angela Lei worked with her mentors Jifu Yin & Yan Zhou on developing a soil moisture dataset from CubeSat satellite observations using machine learning.

Downscaling Framework

Jonathan Li aimed to streamline and optimize the program workflow of the GOES-R Land Surface Temperature downscaling algorithm with mentors Jingjing Peng & Peng Yu.

Crop Classification

Ryanna Naithram worked with mentor Yuan Zhou to evaluate the classification accuracy of crop types using two vegetation index datasets of different spatial resolutions.

Snowfall Rate Website

Felix Ozpaker worked with mentor Jun Dong to enhance the interactive, real-time Snowfall Rate website by adding functionality and new features.

Cloud Formation

Anh Pham worked with mentor Guangyang Fang to simulate the process of cloud formation in Virtual/Mixed Reality.

Precipitation Life Cycle

Saisidharth Seyyadri studied the life cycle of precipitation systems over orographic regions with his mentor Malarvizhi Arulraj.

Lake-Effect Snow Events

Amoson Shu 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.

Drought Prediction

Joseph Tang’s project with mentors Jingjing Peng & Peng Yu utilized machine learning techniques to predict drought events towards more effective water resource management and disaster mitigation.

Vegetation Cover

Alan Wang’s project with mentor Heshun Wang explored machine learning frameworks for deriving vegetation variables from satellite observations using a data-driven approach.

GNSS-RO Webpage

Leo Wang and Emily Ma worked on developments and improvements to the Global Navigation Satellite System Radio Occultation webpage with mentors Xinjia Zhou, Xi Shao, Guojun Gu, & Yong Chen.

Environmental Observation

Ziao Oliver Wang worked with mentors Xi Shao, Wenhui Wang, and Changyong Cao (NOAA) on a machine learning analysis of PACE Ocean Color Instrument reflectance data over Lake Erie for monitoring Harmful Algal Blooms.

Precipitation Formation

Ian Way worked with his mentor Guangyang Fang to model and accurately simulate the formation of different types of precipitation, explain the microphysical processes in an education manner, and build an interactive mixed reality module.

Interactive Geoscience

Samuel Wiggins and mentor Guangyang Fang continued the development of interactive Virtual Reality tutorials for high school and undergraduate geoscience education.

Aquatic Vegetation

Jolie Wu worked with mentors Guangming Zheng & Megan Coffer (EPA) to build a machine learning model to map aquatic vegetation in the Chesapeake Bay using Landsat 8 satellite imagery.

Atmospheric Profile Prediction

Darek Yu worked with mentor Xingming Liang to explore an automatic dynamic weighting method to improve the accuracy of AI models for atmospheric profile retrievals.

AI Agents

Haider Ali worked with mentor Manik Bali to develop Artificial Intelligence agents for interacting with NOAA databases and executing Linux commands.

Snowfall Rate Product

Tomas Bayona investigated the Snowfall Rate (SFR) product with 3D MRMS reflectivity observations with his mentors Huan Meng & Yongzhen Fan.

Straylight Correction

Jason Chen worked with mentors Sirish Uprety & Tung-chang Liu to implement a machine learning model to correct data for the NOAA-21 Ozone Mapping and Profiler Suite (OMPS) Nadir Profiler.

Machine Learning

Kongkun (Kavi) Chen worked with mentor Likun Wang to explore hyperspectral infrared satellite observations using machine learning.

Latent Heating

Parth Dua worked with mentor Veljko Petković to map satellite observations of atmospheric latent heating from passive microwave sensors.

Ocean Carbon Portal

Patrick Foley developed a next-generation Ocean Carbon and Acidification Data system portal with his mentor Liqing Jiang.

Heatwave Mortality

David Guan worked with mentors Jingjing Peng & Peng Yu to estimate heatwave-attributed mortality from satellite and model data using machine learning.

Dataset Consistency

Anna Hall demonstrated a minimal end-to-end pipeline for reconstructing atmospheric profiles from legacy Advanced Microwave Sounding Unit-A data with mentors Xi Shao, Feng Zhang, & Changyong Cao (NOAA).

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Summer Intern 2025 Project Slides

Summer Intern	Mentor	Project
Haider Ali	Manik Bali	Artificial Intelligence Agents for Interacting with the GSICS Product Catalog and the NOAA SCDR Database and Executing Linux Commands View Slide
Tomas Bayona	Huan Meng & Yongzhen Fan	Investigating Snowfall Rate with 3D MRMS Reflectivity Observations View Slides
Jason Chen	Sirish Uprety & Tung-chang Liu	NOAA-21 OMPS Nadir Profiler Straylight Correction using Machine Learning View Slides
Kongkun Chen	Likun Wang	Using a Machine Learning Method to Explore Hyperspectral Infrared Satellite Observations View Slides
Parth Dua	Veljko Petković	Mapping Satellite Observations of Atmospheric Latent Heating from Passive Microwave Sensors View Slides
Patrick Foley	Liqing Jiang	Developing a Next-generation Ocean Carbon and Acidification Data System Portal View Slides
David Guan	Jingjing Peng & Peng Yu	Estimating Heatwave-attributed Mortalities using Machine Learning View Slides
Anna Hall	Xi Shao, Feng Zhang & Changyong Cao	Study of Stability and Consistency of AMSU/MHS across Missions using an AI/ML Model View Slides
James Hawkins & Shawna Hu	Xi Shao, Changyong Cao, Yan Bai, & Feng Zhang	Convection Cell Tracking and Cloud Detection with AI/ML View Slides
Keaton Kirkland	Guangyang Fang	Raspberry Pi Camera Network Maintenance and Data Collection View Slides
Angela Lei	Jifu Yin & Yan Zhou	Exploration of Developing CubeSat Soil Moisture Retrievals using Machine Learning View Slides
Jonathan Li	Peng Yu & Jingjing Peng	Towards a Training Framework for GOES-R LST Downscaling View Slides
Ryanna Naithram	Yuan Zhou	Evaluation and Implementation of High-Spatiotemporal-Resolution Vegetation Datasets Fused from VIIRS and Sentinel-2 Satellite Data on Crop Classification View Slides
Felix Ozpaker	Jun Dong	Improving the Interactive, Real-time Snowfall Rate Website View Slides
Sungmin Park	Isaac Moradi	Application of Machine Learning in Radiative Transfer Modeling View Slides
Anh Pham	Guangyang Fang	3D Simulation of Cloud Formation in Virtual Proving Ground & Training Center View Slides
Saisidharth Seyyadri	Malarvizhi Arulraj	Life Cycle of Precipitation Events over Orographic Regions View Slides
Amoson Shu	Yulan Hong	Analyzing Lake Effect Snow Events with Satellite Observations View Slides
Joseph Tang	Jingjing Peng & Peng Yu	Medium-Range Precipitation Prediction for Drought Relief Projection View Slides
Alan Wang	Heshun Wang	Deriving Vegetation Variables from Satellite Observations using a Data-driven Approach View Slides
Leo Wang & Emily Xinran Ma	Xinjia Zhou, Xi Shao, Guojun Gu, & Yong Chen	Radio Occultation Webpage Development View Slides
Ziao Oliver Wang	Xi Shao, Wenhui Wang & Changyong Cao	A Machine Learning (ML) Analysis of PACE/OCI Reflectance Data over Lake Erie View Slides
Ian Way	Guangyang Fang	Precipitation Formation Interactive VR Module View Slides
Samuel Wiggins	Guangyang Fang	Creating Virtual Reality Tutorials for High School and Undergraduate Geoscience Education View Slides
Jolie Wu	Guangming Zheng & Megan Coffer (EPA)	Building a ML Model to Map Aquatic Vegetation in the Chesapeake Bay using Landsat 8 Satellite Imagery View Slides
Darek Yu	Xingming Liang	Exploring an Automatic Dynamic Weighting Method to Improve the Accuracy of AI models for Atmospheric Profile Retrieval View Slides

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