no code implementations • 19 Sep 2023 • S. Karthik Mukkavilli, Daniel Salles Civitarese, Johannes Schmude, Johannes Jakubik, Anne Jones, Nam Nguyen, Christopher Phillips, Sujit Roy, Shraddha Singh, Campbell Watson, Raghu Ganti, Hendrik Hamann, Udaysankar Nair, Rahul Ramachandran, Kommy Weldemariam
In particular, we are witnessing the rise of AI foundation models that can perform competitively on multiple domain-specific downstream tasks.
1 code implementation • 8 Aug 2022 • Paula Harder, Alex Hernandez-Garcia, Venkatesh Ramesh, Qidong Yang, Prasanna Sattigeri, Daniela Szwarcman, Campbell Watson, David Rolnick
In order to conserve physical quantities, here we introduce methods that guarantee statistical constraints are satisfied by a deep learning downscaling model, while also improving their performance according to traditional metrics.
no code implementations • 28 Mar 2022 • Eduardo Rodrigues, Bianca Zadrozny, Campbell Watson
This approach has two benefits: (1) the NFDRS IC parameters can be improved for each region using actual observed fire events, and (2) the internal variables remain intact for interpretations by specialists instead of meaningless hidden layers as in traditional neural networks.
no code implementations • 30 Jul 2021 • Dario Augusto Borges Oliveira, Jorge Guevara Diaz, Bianca Zadrozny, Campbell Watson
One of the consequences of climate change is anobserved increase in the frequency of extreme cli-mate events.
no code implementations • 16 Jul 2021 • Jorge Guevara, Dario Borges, Campbell Watson, Bianca Zadrozny
Future climate change scenarios are usually hypothesized using simulations from weather generators.
no code implementations • 14 Jul 2021 • Daniel Salles Civitarese, Daniela Szwarcman, Bianca Zadrozny, Campbell Watson
An impact of climate change is the increase in frequency and intensity of extreme precipitation events.
no code implementations • 21 Jun 2021 • Eduardo Rodrigues, Bianca Zadrozny, Campbell Watson, David Gold
Operational forecasting centers are investing in decadal (1-10 year) forecast systems to support long-term decision making for a more climate-resilient society.