34 results
On the reconstruction of unknown driving forces from low-mode observations in the 2D Navier–Stokes equations
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- Proceedings of the Royal Society of Edinburgh. Section A: Mathematics , First View
- Published online by Cambridge University Press:
- 01 April 2024, pp. 1-24
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A digital twin for ship structures—R&D project in Japan
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- Data-Centric Engineering / Volume 5 / 2024
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- 27 March 2024, e7
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20 - Geodynamic Data Assimilation: Techniques and Observables to Construct and Constrain Time-Dependent Earth Models
- from Part III - ‘Solid’ Earth Applications: From the Surface to the Core
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- Applications of Data Assimilation and Inverse Problems in the Earth Sciences
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- 20 June 2023
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- 06 July 2023, pp 311-325
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13 - Data Assimilation for Real-Time Shake-Mapping and Prediction of Ground Shaking in Earthquake Early Warning
- from Part III - ‘Solid’ Earth Applications: From the Surface to the Core
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- Applications of Data Assimilation and Inverse Problems in the Earth Sciences
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- 20 June 2023
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- 06 July 2023, pp 209-219
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1 - Inverse Problems and Data Assimilation in Earth Sciences
- from Part I - Introduction
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- Applications of Data Assimilation and Inverse Problems in the Earth Sciences
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- 20 June 2023
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- 06 July 2023, pp 3-8
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21 - Understanding and Predicting Geomagnetic Secular Variation via Data Assimilation
- from Part III - ‘Solid’ Earth Applications: From the Surface to the Core
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- Applications of Data Assimilation and Inverse Problems in the Earth Sciences
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- 20 June 2023
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- 06 July 2023, pp 326-340
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5 - Data Assimilation of Seasonal Snow
- from Part II - ‘Fluid’ Earth Applications: From the Surface to the Space
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- Applications of Data Assimilation and Inverse Problems in the Earth Sciences
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- 20 June 2023
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- 06 July 2023, pp 79-92
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22 - Pointwise and Spectral Observations in Geomagnetic Data Assimilation: The Importance of Localization
- from Part III - ‘Solid’ Earth Applications: From the Surface to the Core
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- Applications of Data Assimilation and Inverse Problems in the Earth Sciences
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- 20 June 2023
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- 06 July 2023, pp 341-355
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Ensemble-based 4DVarNet uncertainty quantification for the reconstruction of sea surface height dynamics
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- Environmental Data Science / Volume 2 / 2023
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- 30 June 2023, e18
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Applications of Data Assimilation and Inverse Problems in the Earth Sciences
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- 20 June 2023
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- 06 July 2023
17 - Merging of Machine Learning and Physics
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- Introduction to Environmental Data Science
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- 23 March 2023
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- 23 March 2023, pp 549-568
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Mean flow reconstruction of unsteady flows using physics-informed neural networks
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- Data-Centric Engineering / Volume 4 / 2023
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- 25 January 2023, e4
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Toward data assimilation of ship-induced aerosol–cloud interactions
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- Environmental Data Science / Volume 1 / 2022
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- 23 December 2022, e31
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Evolution of machine learning in environmental science—A perspective
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- Environmental Data Science / Volume 1 / 2022
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- 13 April 2022, e3
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An improved adjoint-based ocean wave reconstruction and prediction method
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- Flow: Applications of Fluid Mechanics / Volume 2 / 2022
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- 24 January 2022, E2
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2 - Predicting Weather
- from Part I - The Past
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- The Climate Demon
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- 02 November 2021
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- 21 October 2021, pp 27-46
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A physics perspective on lidar data assimilation for mobile robots
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DASSO: a data assimilation system for the Southern Ocean that utilizes both sea-ice concentration and thickness observations
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- Journal of Glaciology / Volume 67 / Issue 266 / December 2021
- Published online by Cambridge University Press:
- 28 May 2021, pp. 1235-1240
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Variational assimilation of web camera-derived estimates of visibility for Alaska aviation
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- Experimental Results / Volume 2 / 2021
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- 15 March 2021, e14
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Part V - Magnetic Fields beyond the Earth and beyond Today
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- Geomagnetism, Aeronomy and Space Weather
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- 25 October 2019
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- 14 November 2019, pp 265-326
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