Campbell D. Watson

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Dynamical Systems

Top Venues

Publications

Ayush Prasad, Paula Harder, Qidong Yang, Prasanna Sattegeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick
Evaluating the transferability potential of deep learning models for climate downscaling. CoRR (2024)
Michal Muszynski, Levente Klein, Ademir Ferreira da Silva, Anjani Prasad Atluri, Carlos Gomes, Daniela Szwarcman, Gurkanwar Singh, Kewen Gu, Maciel Zortea, Naomi Simumba, Paolo Fraccaro, Shraddha Singh, Steve Meliksetian, Campbell D. Watson, Daiki Kimura, Harini Srinivasan
Fine-tuning of Geospatial Foundation Models for Aboveground Biomass Estimation. CoRR (2024)
Qidong Yang, Alex Hernández-García, Paula Harder, Venkatesh Ramesh, Prasanna Sattigeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling. CoRR (2023)
S. Karthik Mukkavilli, Daniel Salles Civitarese, Johannes Schmude, Johannes Jakubik, Anne Jones, Nam Nguyen, Christopher Phillips, Sujit Roy, Shraddha Singh, Campbell D. Watson, Raghu K. Ganti, Hendrik F. Hamann, Udaysankar Nair, Rahul Ramachandran, Kommy Weldemariam
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation. CoRR (2023)
Juan Nathaniel, Gabrielle Nyirjesy, Campbell D. Watson, Conrad M. Albrecht, Levente J. Klein
Above Ground Carbon Biomass Estimate with Physics-Informed Deep Network. IGARSS (2023)
Ademir Ferreira da Silva, Juan Nathaniel, Ken C. L. Wong, Campbell D. Watson, Hongzhi Wang, Jitendra Singh, Alexandre Alkmim Chamon, Levente J. Klein
NetZeroCO2, an AI framework for accelerated nature-based carbon sequestration. Big Data (2022)
Dário A. B. Oliveira, Jorge Guevara Diaz, Bianca Zadrozny, Campbell D. Watson, Xiao Xiang Zhu
Controlling Weather Field Synthesis Using Variational Autoencoders. IGARSS (2022)
Paula Harder, Qidong Yang, Venkatesh Ramesh, Prasanna Sattigeri, Alex Hernández-García, Campbell D. Watson, Daniela Szwarcman, David S. Rolnick
Generating physically-consistent high-resolution climate data with hard-constrained neural networks. CoRR (2022)
Björn Lütjens, Catherine H. Crawford, Campbell D. Watson, Christopher Hill, Dava Newman
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers. CoRR (2022)
Juan Nathaniel, Levente J. Klein, Campbell D. Watson, Gabrielle Nyirjesy, Conrad M. Albrecht
Aboveground carbon biomass estimate with Physics-informed deep network. CoRR (2022)
Alberto Costa Nogueira Jr., Felipe C. T. Carvalho, João Lucas de Sousa Almeida, Andrés Codas, Eloisa Bentivegna, Campbell D. Watson
Reservoir Computing in Reduced Order Modeling for Chaotic Dynamical Systems. ISC Workshops (2021)
Jorge Guevara Diaz, Dario Borges, Campbell D. Watson, Bianca Zadrozny
A comparative study of stochastic and deep generative models for multisite precipitation synthesis. CoRR (2021)
Bianca Zadrozny, Campbell D. Watson, Daniela Szwarcman, Daniel Civitarese, Dário A. B. Oliveira, Eduardo Rodrigues, Jorge Guevara Diaz
A modular framework for extreme weather generation. CoRR (2021)
Ken C. L. Wong, Hongzhi Wang, Etienne E. Vos, Bianca Zadrozny, Campbell D. Watson, Tanveer F. Syeda-Mahmood
Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion. CoRR (2021)
Daniel Salles Civitarese, Daniela Szwarcman, Bianca Zadrozny, Campbell D. Watson
Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network. CoRR (2021)
Eduardo Rodrigues, Bianca Zadrozny, Campbell D. Watson, David Gold
Decadal Forecasts with ResDMD: a Residual DMD Neural Network. CoRR (2021)
Alberto Costa Nogueira, João Lucas de Sousa Almeida, Guillaume Auger, Campbell D. Watson
Reduced Order Modeling of Dynamical Systems Using Artificial Neural Networks Applied to Water Circulation. ISC Workshops (2020)