Jasmine Trevino
Atmospheric Science Researcher & Data Analyst
I am an undergraduate Atmospheric Science researcher at Texas A&M University–Corpus Christi, focusing on precipitation physics, radar meteorology, and machine-learning-based rainfall retrievals. My work combines MRR-Pro, disdrometer, and gauge observations to improve rain-rate estimation across varied precipitation regimes. I welcome collaboration, research inquiries, and professional opportunities.
Professional Experience
Broadcast Meteorologist Intern
Produced daily forecasts for KIII Corpus Christi News and monitored developing severe weather events.
Student Researcher
Conducting precipitation research focused on improving satellite-based rainfall retrieval algorithms using Micro Rain Radar (MRR-Pro) and Parsivel Disdrometer data funded by NASA IPMSI and NSF.
AMS Annual Meeting Presenter
Presented research findings on Z-R relationships and drop size distributions at the 105th American Meteorological Society (AMS) Annual Meeting.
TAMUCC Radiosonde Workshop Participant
Collaborated with faculty and students to design and launch custom radiosondes equipped with BME280 sensors and GPS. Programmed Raspberry Pi Pico microcontrollers to transmit atmospheric profiles and analyzed real-time telemetry data.
Education
Texas A&M University - Corpus Christi
Exp. Fall 2026B.S. Atmospheric Science | Minor: Applied Mathematics
- Rising Scholar Award
- Ruth A Campbell Scholarship
- LSAMP Scholar
- McNair Scholar
Coastal Bend Community College
May 2022Associate of Science
Awards: Dean's List
Technical Skills
Key Research
Rain Rate Retrieval with AI
Machine LearningImproving Micro Rain Radar Rain Rate Retrieval in Different Precipitation Regimes Using AI Methods.
📄 View Poster (PDF)Z-R Relationships
Data AnalysisZ-R Relationships Inferred from Rain Drop Size Distributions in Different Types of Rain Systems over Gulf of Mexico Coast.
📄 View Poster (PDF)Gallery
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