相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model
Julien Brajard et al.
JOURNAL OF COMPUTATIONAL SCIENCE (2020)
WeatherBench: A Benchmark Data Set for Data-Driven Weather Forecasting
Stephan Rasp et al.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS (2020)
A Reduced Order Deep Data Assimilation model
Cesar Quilodran Casas et al.
PHYSICA D-NONLINEAR PHENOMENA (2020)
Leveraging Modern Artificial Intelligence for Remote Sensing and NWP: Benefits and Challenges
Sid-Ahmed Boukabara et al.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY (2019)
Nonlinear Wave Ensemble Averaging in the Gulf of Mexico Using Neural Networks
Ricardo Martins Campos et al.
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY (2019)
Recent Advances in Supervised Dimension Reduction: A Survey
Guoqing Chao et al.
MACHINE LEARNING AND KNOWLEDGE EXTRACTION (2019)
Model Error Correction in Data Assimilation by Integrating Neural Networks
Jiangcheng Zhu et al.
BIG DATA MINING AND ANALYTICS (2019)
Challenges and design choices for global weather and climate models based on machine learning
Peter D. Dueben et al.
GEOSCIENTIFIC MODEL DEVELOPMENT (2018)
On the variational data assimilation problem solving and sensitivity analysis
Rossella Arcucci et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2017)
Inferring solutions of differential equations using noisy multi-fidelity data
Maziar Raissi et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2017)
Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling
P. Perdikaris et al.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2017)
Storm-Based Probabilistic Hail Forecasting with Machine Learning Applied to Convection-Allowing Ensembles
David John Gagne et al.
WEATHER AND FORECASTING (2017)
Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose Regularization
Huseyin Coskun et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
A Proposal on Machine Learning via Dynamical Systems
E. Weinan
COMMUNICATIONS IN MATHEMATICS AND STATISTICS (2017)
A Variational Data Assimilation Procedure for the Incompressible Navier-Stokes Equations in Hemodynamics
Marta D'Elia et al.
JOURNAL OF SCIENTIFIC COMPUTING (2012)
Inverse Problems in Neural Field Theory
Roland Potthast et al.
SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS (2009)
On the equivalence between Kalman smoothing and weak-constraint four-dimensional variational data assimilation
M. Fisher et al.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY (2005)
Improving wave predictions with artificial neural networks
O Makarynskyy
OCEAN ENGINEERING (2004)
Data assimilation of local model error forecasts in a deterministic model
V Babovic et al.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS (2002)
Neural networks as routine for error updating of numerical models
V Babovic et al.
JOURNAL OF HYDRAULIC ENGINEERING (2001)
分享论文
