José Pérez Chávez
RSS FeedHello fellow scientists! My name is José, and I love planets, stars, and atmospheres. I am on my third year of my Atmospheric Sciences PhD program at Howard University, working along side Dr. Christopher Boxe and Dr. Orenthal Tucker (NASA/GSFC). At the moment I'm focused on the Martian exosphere and the impact of gravity waves traveling from the lower atmopshere. I am new to this field, and I currently learning all I can!
Feel free to explore my research posts, learn more about me in the About section, or connect with me on social media!
Featured
How Often Will Your Particle Classifier Cry Wolf?
Published: at 05:00 PMFour aerosol classifiers sit within 1.2 points of each other on lab accuracy. On a real background day, their false-alarm rates differ by 3×, and the alarm rule matters more than the model.
How Privacy Suppression Distorts Health Disparity Analysis
Published: at 10:00 AMCDC WONDER's privacy protections systematically hide data from the populations we most want to study—small, rural, and minority communities. This article quantifies the bias and offers practical strategies for researchers.
Extracting Wave Parameters from Noisy Data: A Fourier Projection Approach
Published: at 10:00 AMTemporal Fourier projection extracts wave wavelengths from noisy spatio-temporal data. In these synthetic tests, it gives finer wavelength resolution than a full-plane 2D FFT.
From Natural Philosophy to Knowledge Factory
Published: at 08:00 PMTracing the evolution of scientific inquiry from its philosophical roots to today's complex institutional landscape.
HUPAS 1996-2012: Breaking Ground in Atmospheric Sciences at Howard University
Updated: at 11:16 PMExplore the history and impact of the Howard University Program in Atmospheric Sciences (HUPAS), a pioneering initiative that transformed diversity in atmospheric sciences and paved the way for underrepresented students.
Recent Posts
The Virtual Cook, Rebuilt
Published: at 07:00 PMA Python reproduction of a 1999 cooking model, and the choices hidden inside its doneness score.
What One Winter Can and Can't Tell You When Verifying an Atmospheric River Detector Across 13 Seasons
Published: at 12:00 AMThe same small neural network looked useless on one storm season and skillful on two held-out winters. What changed was the test, not the network.
The Unlabeled Data Didn't Help
Published: at 12:00 AMI rebuilt my aerosol classifier with a control that shares everything with Mean Teacher except the consistency loss. Across three test folds, the unlabeled data added nothing measurable.
Unlocking Gravity Wave Mysteries: Dynamics and Impact in the Middle Atmosphere
Published: at 04:48 PMExploring the invisible yet influential world of gravity waves in Earth's atmosphere, their mathematical underpinnings, and observational insights.