The Sailor
Who’s sailing? 
Posts by Collection
portfolio
Be a Bird
Who doesn’t want to be a bird? 
publications
The system for classification of low-pressure systems (SyCLoPS): An all-in-one objective framework for large-scale data sets
Published in Journal of Geophysical Research: Atmospheres, 2025
We propose an all-in-one cyclone detector and classifier to track lifecycles of different types of low-pressure systems.
Recent tropical cyclone outer size increases in the western North Atlantic
Published in Earth's Future, 2026
We investigate North Alantic tropical cyclone size trends in observation, ERA5, and E3SM models
The Evolution of Tropical Cyclone Intensity and Size in Observations and HighResMIP Models
Published in [In preprint]. Submitted to Journal of Geophysical Research: Atmospheres, 2026
Tropical cyclones grow like stars, and they follow different evolutionary pathways.
Machine learning-based prediction of heat index in selected U.S. cities
Published in [In preprint]. ArXiv, 2026
We apply Random Forest and Gated Recurrent Unit models to predict next day’s heat index in 4 selected U.S. cities
software
TempestExtremes
[C++] Role: Contributor, Current Ver. 2.4.3 (2026-01), 2019
TempestExtremes (TE) is the state-of-the-art feature detection, tracking, and characterization software designed for large-sacle atmospheric/geoscientific datasets.
SyCLoPS
[Python] Role: Main Developer, Current Ver. 1.1.3 (2026-03), 2024
The System for classification of Low-Pressure Systems (SyCLoPS) is an all-in-one framework for objective detection and classification of low-pressure systems (LPSs) in datasets and model outputs. The classification framework is built upon TempestExtremes (TE).
talks
2026 AMS Annual Meeting
Published:
This talk at 2026 American Meteorological Society (AMS) Annual Meeting is on our paper “The system for classification of low-pressure systems (SyCLoPS): An all-in-one objective framework for large-scale data sets” published in 2025.