Relevant Papers

Referanser for prosjektet hentet fra en BibTeX-fil.

2021IPCC

Summary for Policymakers

Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change

Accessed 2026-03-03

incollection10.1017/9781009157896.001
2003T. N. Palmer

Predicting Uncertainty in Forecasts of Weather and Climate

European Centre for Medium-Range Weather Forecasts

techreport
n.d.David Tong

Fluid Dynamics

Lecture notes, Department of Applied Mathematics and Theoretical Physics, University of Cambridge

Accessed from DAMTP course notes

misc
National Weather Service

National Weather Service history timeline

NOAA, U.S. Department of Commerce

Accessed March 29, 2026

misc
2025Zhang, Huijun et al.

Machine Learning Methods for Weather Forecasting: A Survey

Atmosphere

article10.3390/atmos16010082
1970Hoerl, Arthur E. et al.

Ridge Regression: Biased Estimation for Nonorthogonal Problems

Technometrics

article10.1080/00401706.1970.10488634
7. april 2026Murel, Jacob et al.

What Is Multicollinearity?

IBM

online
2001Breiman, Leo

Random Forests

Machine Learning

article10.1023/A:1010933404324
1995Cortes, Corinna et al.

Support-Vector Networks

Machine Learning

article10.1007/BF00994018
1998LeCun, Yann et al.

Gradient-Based Learning Applied to Document Recognition

Proceedings of the IEEE

article10.1109/5.726791
1997Hochreiter, Sepp et al.

Long Short-Term Memory

Neural Computation

article10.1162/neco.1997.9.8.1735
2017Vaswani, Ashish et al.

Attention Is All You Need

Advances in Neural Information Processing Systems

inproceedings
2023Bi, Kaifeng et al.

Accurate medium-range global weather forecasting with 3D neural networks

Nature

article10.1038/s41586-023-06185-3
2024Bremnes, John Bjørnar et al.

Evaluation of forecasts by a global data-driven weather model with and without probabilistic post-processing at Norwegian stations

Nonlinear Processes in Geophysics

article10.5194/npg-31-247-2024
2019Chen, Buo-Fu et al.

Estimating Tropical Cyclone Intensity by Satellite Imagery Utilizing Convolutional Neural Networks

Weather and Forecasting

article10.1175/WAF-D-18-0136.1
2020Xiang, Zhongrun et al.

A Rainfall-Runoff Model With LSTM-Based Sequence-to-Sequence Learning

Water Resources Research

article10.1029/2019WR025326
14. april 2026European Centre for Medium-Range Weather Forecasts

Changes to ECMWF Models

ECMWF

online
14. april 2026NASA Glenn Research Center

The Navier-Stokes Equations

NASA

online
2020Weyn, Jonathan A. et al.

Improving Data-Driven Global Weather Prediction Using Deep Convolutional Neural Networks on a Cubed Sphere

Journal of Advances in Modeling Earth Systems

article10.1029/2020MS002109
2023Badrinath, Anirudhan et al.

Improving Precipitation Forecasts with Convolutional Neural Networks

Weather and Forecasting

article10.1175/WAF-D-22-0002.1
2025Leclerc, A. et al.

Improving predictions of convective storm wind gusts with deep learning and numerical weather models

npj Climate and Atmospheric Science

article10.1038/s44304-025-00142-y
4. september 2026Fernholz, Tim

Google's latest AI weather model gives you no excuse to forget your umbrella

TechCrunch

online
2026Bakketun, Åsmund et al.

Enhancing a high resolution data-driven weather prediction model with surface descriptors

arXiv preprint arXiv:2607.02824

misc10.48550/arXiv.2607.02824