Ashesh Chattopadhyay

Jul 26, 2024 | agupubs.onlinelibrary.wiley.com | Y. Qiang Sun |Hamid A. Pahlavan |Ashesh Chattopadhyay |Pedram Hassanzadeh

1 Introduction Small-scale processes such as moist convection, gravity waves, and turbulence are key players in the variability of the climate system and its response to increased greenhouse gases.

Mar 23, 2024 | agupubs.onlinelibrary.wiley.com | Rambod Mojgani |Ashesh Chattopadhyay |Pedram Hassanzadeh

1 Introduction Numerical solutions of physics-based models are the core of modern weather and climate predictions. However, climate and numerical weather prediction (NWP) models suffer from a variety of parametric and structural errors (model errors, hereafter).

Feb 13, 2023 | scienmag.com | Yifei Guan |Ashesh Chattopadhyay |Pedram Hassanzadeh

HOUSTON - (Feb. 13, 2023) - One of the oldest tools in computational physics - a 200-year-old mathematical technique known as Fourier analysis - can reveal crucial information about how a form of artificial intelligence called a deep neural network learns to perform tasks involving complex physics like climate and turbulence modeling, according to a new study. Credit: Image courtesy of P. Hassanzadeh/Rice University HOUSTON - (Feb.