Improving Atmospheric Angular Momentum Forecasts by Machine Learning-Reference-Cited by-同舟云学术

Improving Atmospheric Angular Momentum Forecasts by Machine Learning

Published:2021-12 Issue:12 Volume:8 Page:
ISSN:2333-5084
Container-title:Earth and Space Science
language:en
Short-container-title:Earth and Space Science

Author:

Dill R.¹^ORCID,Saynisch‐Wagner J.¹,Irrgang C.¹^ORCID,Thomas M.¹²

Affiliation:

1. Earth System Modelling Helmholtz Centre Potsdam GFZ German Research Centre Potsdam Germany

2. Institute of Meteorology Freie Universität Berlin Berlin Germany

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Science (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021EA002070

Reference30 articles.

1. Atmospheric angular momentum fluctuations, length-of-day changes and polar motion

2. Atmospheric angular momentum forecasts as novel tests of global numerical weather prediction models

3. Development of Temperature Dependent Retention Models in Ion Chromatography by the Cascade Forward and Back Propagation Artificial Neural Networks

4. Polar motion excitation by variations of the effective angular momentum function: Considerations concerning deconvolution problem;Brzeziński A.;Manuscripta Geodaetica,1992

5. Improving Wind Forecasts in the Lower Stratosphere by Distilling an Analog Ensemble Into a Deep Neural Network

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Operational Forecasting of Effective Angular Momentum Functions Fourteen Days Ahead;International Association of Geodesy Symposia;2024

2. ESMGFZ EAM Products for EOP Prediction: Toward the Quantification of Time Variable EAM Forecast Errors;Artificial Satellites;2023-12-01

3. Geophysically Informed Machine Learning for Improving Rapid Estimation and Short‐Term Prediction of Earth Orientation Parameters;Journal of Geophysical Research: Solid Earth;2023-09-27

4. Ultra-short-term prediction of LOD using LSTM neural networks;Journal of Geodesy;2023-05

5. Short‐Term Forecasting of Wind Gusts at Airports Across CONUS Using Machine Learning;Earth and Space Science;2022-12