Campbell D. Watson

According to our database, Campbell D. Watson authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-modal graph neural networks for localized off-grid weather forecasting.

Qidong Yang, Jonathan Giezendanner, Daniel Salles Civitarese, Johannes Jakubik, Eric Schmitt, Anirban Chandra, Jeremy Vila, Detlef Hohl, Christopher Hill, Campbell D. Watson, Sherrie Wang

CoRR, 2024

Prithvi WxC: Foundation Model for Weather and Climate.

Johannes Schmude, Sujit Roy, Will Trojak, Johannes Jakubik, Daniel Salles Civitarese, Shraddha Singh, Julian Kuehnert, Kumar Ankur, Aman Gupta, Christopher Phillips, Romeo Kienzler, Daniela Szwarcman, Vishal Gaur, Rajat Shinde, Rohit Lal, Arlindo Da Silva, Jorge Luis Guevara Diaz, Anne Jones, Simon Pfreundschuh, Amy Lin, Aditi Sheshadri, Udaysankar Nair, Valentine Anantharaj, Hendrik F. Hamann, Campbell D. Watson, Manil Maskey, Tsengdar J. Lee, Juan Bernabé-Moreno, Rahul Ramachandran

CoRR, 2024

Evaluating the transferability potential of deep learning models for climate downscaling.

Ayush Prasad, Paula Harder, Qidong Yang, Prasanna Sattegeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick

CoRR, 2024

Fine-tuning of Geospatial Foundation Models for Aboveground Biomass Estimation.

Michal Muszynski, Levente J. 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

CoRR, 2024

Detection and Characterization of Urban Heat Islands with Machine Learning.

Muaaz Bhamjee, Hiyam Debary, Zaheed Gaffoor, Tamara Govindasamy, Craig Mahlasi, Mustansar Fiaz, Etienne E. Vos, Levente Klein, Sibusisiwe Makhanya, Campbell D. Watson, Julian Kuehnert

Proceedings of the IGARSS 2024, 2024

2023

Hard-Constrained Deep Learning for Climate Downscaling.

Paula Harder, Alex Hernández-García, Venkatesh Ramesh, Qidong Yang, Prasanna Sattegeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick

J. Mach. Learn. Res., 2023

AI Foundation Models for Weather and Climate: Applications, Design, and Implementation.

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

CoRR, 2023

Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling.

Qidong Yang, Alex Hernández-García, Paula Harder, Venkatesh Ramesh, Prasanna Sattigeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick

CoRR, 2023

Above Ground Carbon Biomass Estimate with Physics-Informed Deep Network.

Juan Nathaniel, Gabrielle Nyirjesy, Campbell D. Watson, Conrad M. Albrecht, Levente J. Klein

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Aboveground carbon biomass estimate with Physics-informed deep network.

Juan Nathaniel, Levente J. Klein, Campbell D. Watson, Gabrielle Nyirjesy, Conrad M. Albrecht

CoRR, 2022

Generating physically-consistent high-resolution climate data with hard-constrained neural networks.

Paula Harder, Qidong Yang, Venkatesh Ramesh, Prasanna Sattigeri, Alex Hernández-García, Campbell D. Watson, Daniela Szwarcman, David S. Rolnick

CoRR, 2022

Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers.

Björn Lütjens, Catherine H. Crawford, Campbell D. Watson, Christopher Hill, Dava Newman

CoRR, 2022

Wildfire risk forecast: An optimizable fire danger index.

Eduardo Rodrigues, Bianca Zadrozny, Campbell D. Watson

CoRR, 2022

Controlling Weather Field Synthesis Using Variational Autoencoders.

Dário A. B. Oliveira, Jorge Guevara Diaz, Bianca Zadrozny, Campbell D. Watson, Xiao Xiang Zhu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

NetZeroCO2, an AI framework for accelerated nature-based carbon sequestration.

Ademir Ferreira da Silva, Juan Nathaniel, Ken C. L. Wong, Campbell D. Watson, Hongzhi Wang, Jitendra Singh, Alexandre Alkmim Chamon, Levente J. Klein

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion.

Ken C. L. Wong, Hongzhi Wang, Etienne E. Vos, Bianca Zadrozny, Campbell D. Watson, Tanveer F. Syeda-Mahmood

CoRR, 2021

Controlling Weather Field Synthesis Using Variational Autoencoders.

Dário Augusto Borges Oliveira, Jorge Guevara Diaz, Bianca Zadrozny, Campbell D. Watson

CoRR, 2021

A comparative study of stochastic and deep generative models for multisite precipitation synthesis.

Jorge Guevara Diaz, Dario Borges, Campbell D. Watson, Bianca Zadrozny

CoRR, 2021

Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network.

Daniel Salles Civitarese, Daniela Szwarcman, Bianca Zadrozny, Campbell D. Watson

CoRR, 2021

Decadal Forecasts with ResDMD: a Residual DMD Neural Network.

Eduardo Rodrigues, Bianca Zadrozny, Campbell D. Watson, David Gold

CoRR, 2021

A modular framework for extreme weather generation.

Bianca Zadrozny, Campbell D. Watson, Daniela Szwarcman, Daniel Civitarese, Dário A. B. Oliveira, Eduardo Rodrigues, Jorge Guevara Diaz

CoRR, 2021

Reservoir Computing in Reduced Order Modeling for Chaotic Dynamical Systems.

Alberto Costa Nogueira Jr., Felipe C. T. Carvalho, João Lucas de Sousa Almeida, Andrés Codas, Eloisa Bentivegna, Campbell D. Watson

Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021

2020

Reduced Order Modeling of Dynamical Systems Using Artificial Neural Networks Applied to Water Circulation.

Alberto Costa Nogueira, João Lucas de Sousa Almeida, Guillaume Auger, Campbell D. Watson

Proceedings of the High Performance Computing, 2020