Climatelearn: Benchmarking machine learning for weather and climate modeling

T Nguyen, J Jewik, H Bansal… - Advances in Neural …, 2024 - proceedings.neurips.cc
Modeling weather and climate is an essential endeavor to understand the near-and long-
term impacts of climate change, as well as to inform technology and policymaking for …

Short-range forecasts of global precipitation using deep learning-augmented numerical weather prediction

M Singh, N Acharya, A Grover, SA Rao… - arxiv preprint arxiv …, 2022 - arxiv.org
Precipitation governs Earth's hydroclimate, and its daily spatiotemporal fluctuations have
major socioeconomic effects. Advances in Numerical weather prediction (NWP) have been …

Deep Learning for Postprocessing Global Probabilistic Forecasts on Subseasonal Time Scales

N Horat, S Lerch - Monthly Weather Review, 2024 - journals.ametsoc.org
Subseasonal weather forecasts are becoming increasingly important for a range of
socioeconomic activities. However, the predictive ability of physical weather models is very …

Machine Learning to improve and understand sub-seasonal forecasts of European temperature

JW van Straaten - 2023 - research.vu.nl
Europe faces droughts, heatwaves, and other extreme weather events every year. To
prevent the worst of the impacts good probabilistic forecasts are needed, ideally issued …

Advancing Climate Science with Machine Learning

S He - 2022 - search.proquest.com
Climate change is considered one of the greatest challenges for humanity in the twenty-first
century. The changing climate affects almost every aspect of people's lives, including but not …

Balancing Exploration and Exploitation: Task-Targeted Exploration for Scientific Decision-Making

GE Flaspohler - 2022 - dspace.mit.edu
How do we collect observational data that reveal fundamental properties of scientific
phenomena? This is a key challenge in modern scientific discovery. Scientific phenomena …

[PDF][PDF] VU Research Portal

JW van Straaten - research.vu.nl
Europe faces impactful droughts, heatwaves, and other extreme weather events every year.
Ideally, these events would be predicted in advance so that society can take action and …