Cooperative Institute for Climate & Satellites - Maryland

CISESS Summer Interns' Page

Students' Page

This slide show features student work with links to student pages

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.

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.

Global Hydrological Cycle

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

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.

Microwave Radiometer

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

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.

Supercell Storm Visualization

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

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.

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.

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.

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).

CYGNSS Soil Moisture

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

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.

Ocean Surface Mixed Layer

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

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.

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.

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.

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.

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.

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.

3D Weather Visualization

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

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.

Severe Weather Events

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

AI in RT Modeling

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

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.

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.

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.

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.

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.

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.

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 2023 Project Slides

Summer Intern	Mentor	Project
Vivek Agarwal	Jun Dong	Snowfall Rate Website and Machine Learning for Snowfall Detection View Slides
Nazneen Ansar	Fangfang Yu & Bikash Basnet	Exploring AI-Based Tools for Scientific Software Development View Slide
Ankith Bachhu	Hugo Berbery & Veljko Petkovic	Investigation of High Resolution Satellite Products for Monitoring the Hydrologic Cycle Components View Slides
Atharva Bhalke	Li-Qing Jiang	Enhancing a Suite of Matlab-based Quality Control Tools and Increasing Compatibility for Different Systems View Slide
Domenic Brooks, Alexandra Hess, & Brooke Widmar	Guangyang Fan & Daile Zhang	High Speed Video Lightning Observations Using Raspberry Pi Camera Network: College Park, Germantown, MD, and Tucson, AZ View Slides
Matias Calderon & Felix Ogordi	Hu Yang & XingMing Liang	Developing Low-cost Microwave Radiometer View Slides
Kristine Pinky Dulaca	Xi Shao & Changyong Cao	Lab Calibration of Hyperspectral Radiometer and Field Measurements View Slides
Damian Figueroa	Guangyang Fan & Daile Zhang	Supercell Visualization in VR View Slide
Brandon Fung	Korak Saha & James Frech	Offshore Wind Extrapolation to Wind Turbine Heights Using AI/ML Random Forest Algorithm View Slides
Ethan Heidtman	Andrew Badger	Hydrologic Model Validation of SWE and Streamflow: Noah LSM View Slides
Linfred Kingston	Fangfang Yu	Finding Common Features in Satellite Images with AI View Slide
Zichao Liang	Yong-Keun Lee Quanhua Liu, & Christopher Grassotti	Estimation of Tropical Cyclone Intensity over Ocean using NOAA-20 ATMS Measurements through a U-Net Machine Learning Algorithm View Slides
Agnes Liu	Jifu Yin	Evaluation of CYGNSS Soil Moisture Data Product View Slides
Alina Liu	Li Fang	An All-Weather LST Prediction Using a Neural Network Model View Slide
Madison Magaha	Paige Lavin & Jacob Wenegrat	Investigating the Impact of Tropical Cyclones on the Ocean Surface Mixed Layer View Slide
Ashmita Pyne	Guangyang Fan & Daile Zhang	VR Educational Module to Demonstrate the Law of Faraday Cage View Slide
Sarah Rinker	Xi Shao, Changyong Cao, & Surja Sharma	Space Weather Impacts on VIIRS Instrument: A hypothesis on VIIRS Sync-loss Occurrence View Slides
Tiancheng Steven Shao	Jun Dong, Sirish Uprety, & Bin Zhang	Detecting and Tracking Iceberg A76 with U-Net Deep Learning Model View Slides
Lily Shen	Jicheng Liu	Soil Moisture Anomaly Detections Using SMOPS and Its Applications in Drought Monitoring View Slides
Shangyong Shi	Yongzhen Fan	Exploring Features for Improving Orographic Snowfall Retrieval View Slides
Hritvik Shrivastava	Manik Bali & Lawrence Flynn	Climate Monitoring from Space View Slide
Lance Uymatiao	Malarvizhi Arulraj & Veljko Petkovic	3D-VisSys: Developing an Interactive 3D Weather Visualization System for Maryland-DC Region View Slide
Yin Wang	Jun Dong	Satellite Snowfall Rate Validation Using SNOTEL Observations View Slides
Guang-Lin Wei	Jingjing Peng & Peng Yu	Detection of Severe Weather Events from Satellite Products View Slides
Adam Witiak	Isaac Moradi	Application of AI in Radiative Transfer Modeling View Slide
Jolie Wu	Guangming Zheng & Megan Coffer	Developing a Machine-Learning Model Using Landsat 8 to Monitor Seagrass Area and Density in the Chesapeake Bay View Slides
Ava Xu	Heshun Wang	Correlation Between Land Surface Temperature and Vegetation Phenology View Slides
Shuo Xu	Yuling Liu	All-weather LST extension and VIIRS LST downscaling View Slide
Roger Yang	Jingjing Peng & Peng Yu	Detection and forecasting of severe weather events from satellite products using ML View Slides
Artemis Zhang	Cezar Kongoli	Accuracy of European and American Snow Depth Analyses View Slides
Niko Zhang	XingMing Liang & Hu Yang	Development of a Smart Ground-based Radiometer for Weather Study - ML TPW retrieval algorithm for the 22 GHz radiometer View Slides
Jessica Zhou	Fangfang Yu	Data Processing for GOES ABI SNO INR with N20 VIIRS View Slide

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