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2022 Students' Page

Students' Page
This slide show features student work with links to student pages
Vivek Agarwal

Snowfall Rate Validation

Vivek Agarwal assisted Jun Dong in using machine learning to create snowfall detection models and made improvements to the Snowfall Rate Interactive Website.

 
Nazneen Ansar

Application of AI Tools

Nazneen Ansar explored AI-based tools for scientific software development with mentors Fangfang Yu & Bikash Basnet. Spectral datasets were used during IDL to Python conversion test using ChatGPT.

 
Ankith Bachhu

Global Hydrological Cycle

Ankith Bachhu and mentors Hugo Berbery and Veljko Petković investigated satellite products for monitoring global hydrological cycle components.

 
Atharva Bhalke

QC Tool Enhancements

Atharva Bhalke worked with Liqing Jiang to enhance an existing suite of Matlab-based quality control tools to allow a greater range of users and increase compatibility for different systems.

 
Domenic Brooks, Alexandra Hess, and Brooke Widmar

Lightning Videos

Domenic Brooks, Alexandra Hess, & Brooke Widmar worked with Guangyang Fan & Daile Zhang on collecting high-speed video lightning observations using a raspberry pi camera network.

 
Matias Calderon & Felix Ogordi

Microwave Radiometer

Felix Ogordi & Matias Calderon assisted Tiger Yang in the development of a low-cost microwave radiometer.

 
Kristine Pinky Dulaca

Hyperspectral Radiometer

Kristine Pinky Dulaca performed lab calibration of a miniature hyperspectral radiometer and took field measurements with Xi Shao & Changyong Cao and radio occultation data assimilation with William Miller.

 
Damian Figueroa

Supercell Storm Visualization

Damian Figueroa and mentor Guangyang Fang demonstrated the structural and radar features of a supercell storm using virtual reality.

 
Brandon Fung

Offshore Wind Speeds

Brandon Fung assisted Korak Saha & James Frech in developing an extrapolation model based on machine learning to predict ocean wind speed at various wind turbine heights.

 
Ethan Heidtman

Hydrologic Model Validation

Ethan Heidtman evaluated how well the Noah Land-Surface Model can simulate observed snowpacks in the western U.S. with mentor Andrew Badger.

 
Linfred Kingston

Evaluating AI Methods

Linfred Kingston and mentor Fangfang Yu used AI methods to find common features in satellite lunar images and identified the optimal method for ABI lunar feature extraction.

 
Zichao Liang

TC Intensity

Zichao Liang made an estimation of tropical cyclone Intensity over ocean using Uymatiao NOAA-20 ATMS measurements through a U-Net machine learning algorithm with mentors Yong-Keun Lee, Christopher Grassotti, & Quanhua Liu (NOAA).

 
Agnes Liu

CYGNSS Soil Moisture

Agnes Liu and mentor Jifu Yin evaluated the Cyclone Global Navigation Satellite System (CYGNSS) Soil Moisture data product.

 
Alina Liu

Neural Network to Predict LST

Alina Liu applied machine learning to fuse multi-band satellite observatons to predict land surface temperature (LST) under all weather conditions with mentor Li Fang.

 
Madison Magaha

Ocean Surface Mixed Layer

Madison Magaha investigated the Impact of tropical cyclones on the ocean surface mixed layer with mentors Paige Lavin & Jacob Wenegrat.

 
Ashmita Pyne

Lightning Safety in VR

Ashmita Pyne created a VR educational module that demonstrates the law of Faraday Cage as it relates to lightning safety with mentor Guangyang Fang.

 
Sarah Rinker

Impacts on VIIRS

Sarah Rinker investigated space weather impacts on the VIIRS instrument and sync-loss occurrence associated with instrument aging with mentors Xi Shao, Changyong Cao, and Surja Sharma.

 
Tiancheng Steven Shao

Iceberg Tracking

Tiancheng Steven Shao worked with Jun Dong, Sirish Uprety, & Bin Zhang (NOAA) to test the U-Net Deep Learning model for object recognition with satellite images and to track iceberg A76.

 
Lily Shen

Drought Monitoring

Lily Shen assisted Jicheng Liu in detecting surface soil moisture anomalies using the SMOPS blended soil moisture product and using anomaly maps for drought monitoring.

 
Shangyong Shi

Orographic Snowfall Rate

Shangyong Shi explored methods to identify orographic snowfall and identified elevation-related features to improve the performance of the SnowFall Rate (SFR) algorithm for orographic snowfall.

 
Hritvik Shrivastava

Climate Monitoring

Hritvik Shrivastava worked with mentors Manik Bali & Lawrence Flynn (NOAA) to perform Empirical Orthogonal Function (EOF) analysis on Cross-Track Infrared Sounder data using Python.

 
Lance Uymatiao

3D Weather Visualization

Lance Uymatiao worked with Malarvizhi Arulraj & Veljko Petković on developing a 3D Weather Visualization System for the Maryland-DC Region.

 
Yin Wang

Snowfall Rate Validation

Yin Wang assisted Jun Dog in validating satellite snowfall rate data using ground snow telemetry (SNOTEL) observations and creating a collocation package.

 
Guang-Lin Wei

Severe Weather Events

Guang-Lin Wei assisted Jingjing Peng and Peng Yu in creating a machine learning model capable of detecting drought regions.

 
Adam Witiak

AI in RT Modeling

Adam Witiak worked with mentor Isaac Moradi in training a neural network to predict the surface contribution to microwave data.

 
Jolie Wu

Seagrass Monitoring

Jolie Wu worked with Guangming Zheng & Megan Coffer (NOAA) on developing a machine-learning model using Landsat 8 to monitor seagrass area and density in the Chesapeake Bay.

 
Ava Xu

LAI & LST Correlation

Ava Xu worked with Heshun Wang to map the 20-year averaged rate of change in leaf area index (LAI) and land surface temperature (LST) to create a time series and find a correlation.

 
Shuo Xu

VIIRS LST Downscaling

Shuo Xu worked with mentor Yuling Liu on extending the all-weather land surface temperature (LST) fusion method to a global scale and investigating a VIIRS LST downscaling technique.

 
Roger Yang

Detection & Forecasting

Roger Yang worked with mentors Jingjing Peng & Peng Yu to devise detection and forecasting models for severe weather events from satellite products using machine learning.

 
Artemis Zhang

Snow Depth Analyses

Artemis Zhang compared European and American snow depth data using Python and determined the most accurate algorithm for analyzing snow depth. with mentor Cezar Kongoli.

 
Niko Zhang

Neural Networks

Niko Zhang worked with mentors XingMing Liang and Tiger Yang to develop a deep-learning-based forward emulator (DLFE) and total precipitable water (TPW) retrieval algorithm for the 22 GHz radiometer.

 
Jessica Zhou

GOES Data Processing

Jessica Zhou processed subset historical GOES-17/18 ABI and NOAA-20 VIIRS data and performed Pearson correlation metrics with mentor Fangfang Yu.

 
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Summer Intern 2022 Single-Slide Project Summaries
Summer Intern Mentor Project
 Vivek Agarwal  Jun Dong &     Yongzhen Fan Snowfall Rate Product Interactive Website and Using Machine Learning Algorithms to Process Snowfall Rate   View Slide
 Domenic Brooks &     Alex Friedman  Daile Zhang High-Speed Lightning Videos Using Raspberry Pi Cameras   View Slide    View Video
 Kaley Du  Xi  Shao Supporting the STAR Satellite Global/Regional Validation Sites (GReVS) System Development for VIIRS Imagery Quality Evaluation   View Slide
 Vesta Gorooh  Veljko Petković, Malarvizhi Arulaj &  Ralph Ferraro Developing Machine Learning Models for ABI and Passive Microwave Observations             View Slide
 Rida Khan  XingMing Liang Developing a Deep Learning-Based Machine Learning Model to Predict Brightness Temperatures on Land   View Slide
 Linfred Kingston  Fangfang Yu Assessment of ABI Image Registration with a Deep Learning Method   View Slide
 Clarence Lam

 Lin Lin & Changyong Cao      (NOAA)

 Analyzing Satellite Image Data with Machine Learning   View Slide
 Zichao Liang  Lin Lin Estimation of Pacific and Atlantic Tropical Cyclone Intensities from ATMS-Derived Temperature Anomalies Using Machine Learning      View Slide
 Agnes Liu  Jifu Yin Data Preprocessing of Soil Moisture Observations   View Slide
 Stephanie Marquez (NOAA Intern)  Xiwu Zhan    (NOAA) & Jifu Yin Intercomparison of Surface Soil Moisture through Multiscale, Colocated Suborbital and Orbital Observations in the Chihuahuan Desert of North America    View Slide
 Liem Nguyen  Liqing Jiang Automation Program Linking NOAA Projects to NCEI Archive for the North American Coastal Climatologies   View Slides
 Lukas Ozpaker  Malarvizhi Arulraj & Veljko Petković Investigating the Potential of the Community Collaborative Rain, Hail & Snow Network (CoCoRaHS) to Serve as a Reference to the NPreciSe NOAA Satellite Precipitation Products Validation System   View Slide
 Terrence Pierce  Daile Zhang Developing a Triple-blended Lightning Dataset and its Applications   View Slide
 Ashmita Pyne & Damian Figueroa  Guangyang Fang & Joseph Patton Exploring Creative Ways to Use Virtual Reality to Analyze and Visualize 3D Weather and Climate Datasets   View Slide
 Seung Joon Rhee  Bin Zhang & Xi Shao Feature Detection in VIIRS Images with Machine Learning Techniques   View Slides
 Yucheng Shao  Yongzhen Fan Developing a Machine Learning Snowfall Detection Algorithm for the GPM Microwave Imager (GMI)     View Slide
 Chao-Wei Tu  Hu Yang Design and Implementation of Digital Synchronous Detector for Microwave Radiometer    View Slide
 Wei Wang Bin Zhang & Sirish Uprety

Support of VIIRS Geolocation and Radiometric Validation      View Slide
 Zhuoyu Yang  Jun Dong Data Collection and Temperature Control for the Prototype Microwave Radiometer       View Slide
 Jessica Zhou  Jifu Yin Preliminary Results of Predicting Wildfires on the Basis of Soil Moisture    View Slides

 

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