( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Machine learning for climate physics and simulations

, , , , , и . (2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Pedram Derakhshani

Pedram Emami

Pedram Yazdanbakhsh

Pedram Azad

Pedram Hovareshti

 

Другие публикации лиц с тем же именем

Data-driven predictions of a multiscale Lorenz 96 chaotic system using machine-learning methods: reservoir computing, artificial neural network, and long short-term memory network, , и . Nonlinear Processes in Geophysics, 27 (3): 373-389 (2019)Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow., , , и . CoRR, (2022)Closed-form discovery of structural errors in models of chaotic systems by integrating Bayesian sparse regression and data assimilation., , и . CoRR, (2021)Data-driven prediction of a multi-scale Lorenz 96 chaotic system using a hierarchy of deep learning methods: Reservoir computing, ANN, and RNN-LSTM., , , и . CoRR, (2019)Deep spatial transformers for autoregressive data-driven forecasting of geophysical turbulence., , , и . CI, стр. 106-112. ACM, (2020)Stable a posteriori LES of 2D turbulence using convolutional neural networks: Backscattering analysis and generalization to higher Re via transfer learning., , , и . J. Comput. Phys., (2022)Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence., , , , и . CoRR, (2022)Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems., , , и . CoRR, (2022)Quantifying the eddy-jet feedback strength of the annular mode in an idealized GCM and reanalysis data, , и . (14.08.2016)Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems., , , и . J. Comput. Phys., (марта 2023)