Alfonso Delgado-Bonal

Associate Professor

UMBC

United States

Research Interests

Explore related searches

Professors in United States Professors in Machine Learning Machine Learning professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Alfonso Delgado-Bonal is an Associate Professor at UMBC/NASA Goddard, specializing in meteorological modeling and climate variability. His recent research includes the prediction of Martian atmospheric variables through artificial neural networks and the analysis of cloud variability from DSCOVR/EPIC observations. Additionally, he explores complexity algorithms in climate research, focusing on changes in climate complexity over the past four decades using MERRA-2 radiation data.

Articles (5)

Year:

2022

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Collaborators (1)

Belén Pérez-Lancho

Universidad de Salamanca

SPAIN

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Alfonso Delgado-Bonal

Research Interests

Explore related searches

Contact this professor

About

Articles (5)

PREDICTION OF MARS METEOROLOGICAL VARIABLES USING ARTIFICIAL NEURAL NETWORKS

Global Daytime Variability of Clouds From DSCOVR/EPIC Observations

Daytime Variability of Cloud Fraction From DSCOVR/EPIC Observations

On the use of complexity algorithms: a cautionary lesson from climate research

Analyzing changes in the complexity of climate in the last four decades using MERRA-2 radiation data

Collaborators (1)

Belén Pérez-Lancho

Make your next move.