Found: 49
Select item for more details and to access through your institution.
Improving weather and climate predictions by training of supermodels.
- Published in:
- Earth System Dynamics Discussions, 2019, p. 1, doi. 10.5194/esd-2019-32
- By:
- Publication type:
- Article
Improving weather and climate predictions by training of supermodels.
- Published in:
- Earth System Dynamics, 2019, v. 10, n. 4, p. 789, doi. 10.5194/esd-10-789-2019
- By:
- Publication type:
- Article
On the numerical integration of the Lorenz-96 model, with scalar additive noise, for benchmark twin experiments.
- Published in:
- Geoscientific Model Development Discussions, 2019, p. 1, doi. 10.5194/gmd-2019-258
- By:
- Publication type:
- Article
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model.
- Published in:
- Geoscientific Model Development Discussions, 2019, p. 1, doi. 10.5194/gmd-2019-136
- By:
- Publication type:
- Article
Tailoring data assimilation to discontinuous Galerkin models.
- Published in:
- Quarterly Journal of the Royal Meteorological Society, 2024, v. 150, n. 762, p. 2820, doi. 10.1002/qj.4737
- By:
- Publication type:
- Article
Supervised machine learning to estimate instabilities in chaotic systems: Estimation of local Lyapunov exponents.
- Published in:
- Quarterly Journal of the Royal Meteorological Society, 2023, v. 149, n. 753, p. 1236, doi. 10.1002/qj.4450
- By:
- Publication type:
- Article
Dynamical effects of inflation in ensemble‐based data assimilation under the presence of model error.
- Published in:
- Quarterly Journal of the Royal Meteorological Society, 2022, v. 148, n. 746, p. 2368, doi. 10.1002/qj.4307
- By:
- Publication type:
- Article
Ensemble Kalman filter for nonconservative moving mesh solvers with a joint physics and mesh location update.
- Published in:
- Quarterly Journal of the Royal Meteorological Society, 2021, v. 147, n. 736, p. 1539, doi. 10.1002/qj.3980
- By:
- Publication type:
- Article
Estimating model evidence using ensemble‐based data assimilation with localization – The model selection problem.
- Published in:
- Quarterly Journal of the Royal Meteorological Society, 2019, v. 145, n. 721, p. 1571, doi. 10.1002/qj.3513
- By:
- Publication type:
- Article
Adaptive covariance inflation in the ensemble Kalman filter by Gaussian scale mixtures.
- Published in:
- Quarterly Journal of the Royal Meteorological Society, 2019, v. 145, n. 718, p. 53, doi. 10.1002/qj.3386
- By:
- Publication type:
- Article
Accounting for model error due to unresolved scales within ensemble Kalman filtering.
- Published in:
- Quarterly Journal of the Royal Meteorological Society, 2015, v. 141, n. 689, p. 1417, doi. 10.1002/qj.2451
- By:
- Publication type:
- Article
Assimilation of Sentinel-1 Backscatter into a Land Surface Model with River Routing and Its Impact on Streamflow Simulations in Two Belgian Catchments.
- Published in:
- Journal of Hydrometeorology, 2023, v. 24, n. 12, p. 2389, doi. 10.1175/JHM-D-22-0198.1
- By:
- Publication type:
- Article
Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology.
- Published in:
- Cryosphere, 2024, v. 18, n. 5, p. 2381, doi. 10.5194/tc-18-2381-2024
- By:
- Publication type:
- Article
Deep learning subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell elasto-brittle rheology.
- Published in:
- Cryosphere, 2023, v. 17, n. 7, p. 2965, doi. 10.5194/tc-17-2965-2023
- By:
- Publication type:
- Article
Arctic sea ice data assimilation combining an ensemble Kalman filter with a novel Lagrangian sea ice model for the winter 2019–2020.
- Published in:
- Cryosphere, 2023, v. 17, n. 4, p. 1735, doi. 10.5194/tc-17-1735-2023
- By:
- Publication type:
- Article
Impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the Arctic.
- Published in:
- Cryosphere, 2018, v. 12, n. 3, p. 935, doi. 10.5194/tc-12-935-2018
- By:
- Publication type:
- Article
State and parameter estimation with the extended Kalman filter: an alternative formulation of the model error dynamics.
- Published in:
- Quarterly Journal of the Royal Meteorological Society, 2011, v. 137, n. 655, p. 435, doi. 10.1002/qj.762
- By:
- Publication type:
- Article
Short time augmented extended Kalman filter for soil analysis: a feasibility study.
- Published in:
- Atmospheric Science Letters (John Wiley & Sons, Inc. ), 2012, v. 13, n. 4, p. 268, doi. 10.1002/asl.394
- By:
- Publication type:
- Article
Generative Diffusion for Regional Surrogate Models From Sea‐Ice Simulations.
- Published in:
- Journal of Advances in Modeling Earth Systems, 2024, v. 16, n. 10, p. 1, doi. 10.1029/2024MS004395
- By:
- Publication type:
- Article
Probabilistic forecast using a Lagrangian sea ice model: application for search and rescue operations.
- Published in:
- 2017
- By:
- Publication type:
- Abstract
Data assimilation in the geosciences: An overview of methods, issues, and perspectives.
- Published in:
- WIREs: Climate Change, 2018, v. 9, n. 5, p. 1, doi. 10.1002/wcc.535
- By:
- Publication type:
- Article
Assimilation of Backscatter Observations into a Hydrological Model: A Case Study in Belgium Using ASCAT Data.
- Published in:
- Remote Sensing, 2022, v. 14, n. 22, p. 5740, doi. 10.3390/rs14225740
- By:
- Publication type:
- Article
Comparison of Local Ensemble Transform Kalman Filter, 3DVAR, and 4DVAR in a Quasigeostrophic Model.
- Published in:
- Monthly Weather Review, 2009, v. 137, n. 2, p. 693, doi. 10.1175/2008MWR2396.1
- By:
- Publication type:
- Article
Training a supermodel with noisy and sparse observations: a case study with CPT and the synch rule on SPEEDO – v.1.
- Published in:
- Geoscientific Model Development, 2022, v. 15, n. 9, p. 3831, doi. 10.5194/gmd-15-3831-2022
- By:
- Publication type:
- Article
On the numerical integration of the Lorenz-96 model, with scalar additive noise, for benchmark twin experiments.
- Published in:
- Geoscientific Model Development, 2020, v. 13, n. 4, p. 1903, doi. 10.5194/gmd-13-1903-2020
- By:
- Publication type:
- Article
Multivariate state and parameter estimation with data assimilation on sea-ice models using a Maxwell-Elasto-Brittle rheology.
- Published in:
- Cryosphere Discussions, 2023, p. 1, doi. 10.5194/egusphere-2023-1809
- By:
- Publication type:
- Article
Inferring the instability of a dynamical system from the skill of data assimilation exercises.
- Published in:
- Nonlinear Processes in Geophysics, 2021, v. 28, n. 4, p. 633, doi. 10.5194/npg-28-633-2021
- By:
- Publication type:
- Article
Data assimilation using adaptive, non-conservative, moving mesh models.
- Published in:
- Nonlinear Processes in Geophysics, 2019, v. 26, n. 3, p. 175, doi. 10.5194/npg-26-175-2019
- By:
- Publication type:
- Article
Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models.
- Published in:
- Nonlinear Processes in Geophysics, 2019, v. 26, n. 3, p. 143, doi. 10.5194/npg-26-143-2019
- By:
- Publication type:
- Article
Chaotic dynamics and the role of covariance inflation for reduced rank Kalman filters with model error.
- Published in:
- Nonlinear Processes in Geophysics, 2018, v. 25, n. 3, p. 633, doi. 10.5194/npg-25-633-2018
- By:
- Publication type:
- Article
Training a supermodel with noisy and sparse observations: a case study with CPT and the synch rule on SPEEDO - v.1.
- Published in:
- Geoscientific Model Development Discussions, 2021, p. 1, doi. 10.5194/gmd-2021-221
- By:
- Publication type:
- Article
Improving weather and climate predictions by training of supermodels.
- Published in:
- Geophysical Research Abstracts, 2019, v. 21, p. 1
- By:
- Publication type:
- Article
Combining Data Assimilation and Machine Learning to emulate a numerical model from noisy and sparse observations.
- Published in:
- Geophysical Research Abstracts, 2019, v. 21, p. 1
- By:
- Publication type:
- Article
Data-driven inference of the ordinary differential equation representation of a chaotic dynamical model using data assimilation.
- Published in:
- Geophysical Research Abstracts, 2019, v. 21, p. 1
- By:
- Publication type:
- Article
Data Assimilation for Chaotic Geophysical Dynamics - An Overview.
- Published in:
- Geophysical Research Abstracts, 2019, v. 21, p. 1
- By:
- Publication type:
- Article
Supermodeling: Improving Predictions with an Ensemble of Interacting Models.
- Published in:
- Bulletin of the American Meteorological Society, 2023, v. 104, n. 9, p. E1670, doi. 10.1175/BAMS-D-22-0070.1
- By:
- Publication type:
- Article
Machine Learning for Earth System Observation and Prediction.
- Published in:
- Bulletin of the American Meteorological Society, 2021, v. 102, n. 4, p. E710, doi. 10.1175/BAMS-D-20-0307.1
- By:
- Publication type:
- Article
SCIENTIFIC CHALLENGES OF CONVECTIVE-SCALE NUMERICAL WEATHER PREDICTION.
- Published in:
- Bulletin of the American Meteorological Society, 2018, v. 99, n. 4, p. 699, doi. 10.1175/BAMS-D-17-0125.1
- By:
- Publication type:
- Article
A Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data Assimilation.
- Published in:
- Monthly Weather Review, 2020, v. 148, n. 10, p. 3973, doi. 10.1175/MWR-D-19-0240.1
- By:
- Publication type:
- Article
Linking the Anomaly Initialization Approach to the Mapping Paradigm: A Proof-of-Concept Study.
- Published in:
- Monthly Weather Review, 2015, v. 143, n. 11, p. 4695, doi. 10.1175/MWR-D-14-00398.1
- By:
- Publication type:
- Article
Extending the Square Root Method to Account for Additive Forecast Noise in Ensemble Methods.
- Published in:
- Monthly Weather Review, 2015, v. 143, n. 10, p. 3857, doi. 10.1175/MWR-D-14-00375.1
- By:
- Publication type:
- Article
Accounting for Model Error in Variational Data Assimilation: A Deterministic Formulation.
- Published in:
- Monthly Weather Review, 2010, v. 138, n. 9, p. 3369, doi. 10.1175/2010MWR3192.1
- By:
- Publication type:
- Article
Investigating ecosystem connections in the shelf sea environment using complex networks.
- Published in:
- Biogeosciences, 2024, v. 21, n. 3, p. 731, doi. 10.5194/bg-21-731-2024
- By:
- Publication type:
- Article
Inferring the instability of a dynamical system from the skill of data assimilation exercises.
- Published in:
- Nonlinear Processes in Geophysics Discussions, 2021, p. 1, doi. 10.5194/npg-2021-25
- By:
- Publication type:
- Article
Data assimilation using adaptive, non-conservative, moving mesh models.
- Published in:
- Nonlinear Processes in Geophysics Discussions, 2019, p. 1, doi. 10.5194/npg-2019-9
- By:
- Publication type:
- Article
Data assimilation as a deep learning tool to infer ODE representations of dynamical models.
- Published in:
- Nonlinear Processes in Geophysics Discussions, 2019, p. 1, doi. 10.5194/npg-2019-7
- By:
- Publication type:
- Article
Chaotic dynamics and the role of covariance inflation for reduced rank Kalman filters with model error.
- Published in:
- Nonlinear Processes in Geophysics Discussions, 2018, p. 1, doi. 10.5194/npg-2018-4
- By:
- Publication type:
- Article
TREATMENT OF THE ERROR DUE TO UNRESOLVED SCALES IN SEQUENTIAL DATA ASSIMILATION.
- Published in:
- International Journal of Bifurcation & Chaos in Applied Sciences & Engineering, 2011, v. 21, n. 12, p. 3619, doi. 10.1142/S0218127411030775
- By:
- Publication type:
- Article
On Temporal Scale Separation in Coupled Data Assimilation with the Ensemble Kalman Filter.
- Published in:
- Journal of Statistical Physics, 2020, v. 179, n. 5/6, p. 1161, doi. 10.1007/s10955-020-02525-z
- By:
- Publication type:
- Article