Found: 10
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A data assimilation algorithm for predicting rain.
- Published in:
- Quarterly Journal of the Royal Meteorological Society, 2021, v. 147, n. 736, p. 1949, doi. 10.1002/qj.4004
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- Article
Ensemble-type Kalman filter algorithm conserving mass, total energy and enstrophy.
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- Quarterly Journal of the Royal Meteorological Society, 2017, v. 143, n. 708, p. 2902, doi. 10.1002/qj.3142
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- Article
Understanding the dependence of mean precipitation on convective treatment in tropical aquachannel experiments.
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- Weather & Climate Dynamics, 2023, p. 1, doi. 10.5194/wcd-2023-7
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- Article
Using neural networks to improve simulations in the gray zone.
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- Nonlinear Processes in Geophysics, 2022, v. 29, n. 2, p. 171, doi. 10.5194/npg-29-171-2022
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- Article
Training a convolutional neural network to conserve mass in data assimilation.
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- Nonlinear Processes in Geophysics, 2021, v. 28, n. 1, p. 111, doi. 10.5194/npg-28-111-2021
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- Article
Parameter and state estimation with ensemble Kalman filter based algorithms for convective scale applications.
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- Geophysical Research Abstracts, 2018, v. 20, p. 6860
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- Article
Conservation laws and ensemble Kalman filter algorithms.
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- Geophysical Research Abstracts, 2018, v. 20, p. 5794
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- Article
Sampling Error Correction Evaluated Using a Convective-Scale 1000-Member Ensemble.
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- Monthly Weather Review, 2020, v. 148, n. 3, p. 1229, doi. 10.1175/MWR-D-19-0154.1
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- Article
Using neural networks to improve simulations in the gray zone.
- Published in:
- Nonlinear Processes in Geophysics Discussions, 2021, p. 1, doi. 10.5194/npg-2021-20
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- Publication type:
- Article
Training a convolutional neural network to conserve mass in data assimilation.
- Published in:
- Nonlinear Processes in Geophysics Discussions, 2020, p. 1, doi. 10.5194/npg-2020-38
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- Article