100 citations as recorded by crossref.

1. Rainfall forecasting skill of GFS model at T1534 and T574 resolution over India during the monsoon season C. Sridevi et al.
2. Impact of non‐stationarity on hybrid ensemble filters: A study with a doubly stochastic advection‐diffusion‐decay model M. Tsyrulnikov & A. Rakitko
3. Hybrid Background Error Covariances for a Limited-Area Deterministic Weather Prediction System J. Bédard et al.
4. Forward sensitivity approach for estimating eddy viscosity closures in nonlinear model reduction S. Ahmed et al.
5. Weakly coupled atmosphere–ocean data assimilation in the Canadian global prediction system (v1) S. Skachko et al.
6. Scale-Dependent Background Error Covariance Localization: Evaluation in a Global Deterministic Weather Forecasting System J. Caron & M. Buehner
7. A review of operational methods of variational and ensemble‐variational data assimilation R. Bannister
8. Development of a Hybrid En3DVar Data Assimilation System and Comparisons with 3DVar and EnKF for Radar Data Assimilation with Observing System Simulation Experiments R. Kong et al.
9. Using Icepack to reproduce ice mass balance buoy observations in landfast ice: improvements from the mushy-layer thermodynamics M. Plante et al.
10. Estimation of Systematic Errors in the GFS Using Analysis Increments K. Bhargava et al.
11. A Hierarchical Bayes Ensemble Kalman Filter M. Tsyrulnikov & A. Rakitko
12. Near-Surface Wind Observation Impact on Forecasts: Temporal Propagation of the Analysis Increment J. Bédard et al.
13. Implementation of Deterministic Weather Forecasting Systems Based on Ensemble–Variational Data Assimilation at Environment Canada. Part II: The Regional System J. Caron et al.
14. The Impact of Incremental Analysis Update on Regional Simulations for Typhoons Y. Ge et al.
15. Assimilation of radar radial velocity data with the WRF hybrid 4DEnVar system for the prediction of hurricane Ike (2008) F. Shen et al.
16. Object-Based Verification of GSI EnKF and Hybrid En3DVar Radar Data Assimilation and Convection-Allowing Forecasts within a Warn-on-Forecast Framework L. Chen et al.
17. Survey of data assimilation methods for convective‐scale numerical weather prediction at operational centres N. Gustafsson et al.
18. Hybrid ensemble 4DVar assimilation of stratospheric ozone using a global shallow water model D. Allen et al.
19. A comparison of variational, ensemble-based, and hybrid data assimilation methods over East Asia for two one-month periods E. Yang & H. Kim
20. Tensor Formulation of Ensemble-Based Background Error Covariance Matrix Factorization T. Ishibashi
21. An Ensemble Kalman Filter for Numerical Weather Prediction Based on Variational Data Assimilation: VarEnKF M. Buehner et al.
22. Real Data Assimilation Using the Local Ensemble Transform Kalman Filter (LETKF) System for a Global Non-hydrostatic NWP model on the Cubed-sphere S. Shin et al.
23. Block Krylov methods for accelerating ensembles of variational data assimilations F. Mercier et al.
24. Towards ensemble data assimilation for the Environment Canada Regional Ice Prediction System A. Shlyaeva et al.
25. A New Approach for Estimating the Observation Impact in Ensemble–Variational Data Assimilation M. Buehner et al.
26. 100 Years of Progress in Forecasting and NWP Applications S. Benjamin et al.
27. Implementation of Deterministic Weather Forecasting Systems Based on Ensemble–Variational Data Assimilation at Environment Canada. Part I: The Global System M. Buehner et al.
28. Precision and convergence speed of the ensemble Kalman filter-based parameter estimation: setting parameter uncertainty for reliable and efficient estimation K. Sueki et al.
29. The Local Ensemble Tangent Linear Model: an enabler for coupled model 4D‐Var C. Bishop et al.
30. Dependence on initial conditions versus model formulations for medium‐range forecast error variations L. Magnusson et al.
31. Satellite Flood Inundation Assessment and Forecast Using SMAP and Landsat J. Du et al.
32. International challenge to predict the impact of radioxenon releases from medical isotope production on a comprehensive nuclear test ban treaty sampling station P. Eslinger et al.
33. Evaluating the Forecast Impact of Assimilating ATOVS Radiance With the Regional System of Multigrid NLS‐4DVar Data Assimilation for Numerical Weather Prediction (SNAP) H. Zhang & X. Tian
34. Contributions of natural and anthropogenic sources to ambient ammonia in the Athabasca Oil Sands and north-western Canada C. Whaley et al.
35. Assimilating All-sky Infrared Radiances from Himawari-8 Using the 3DVar Method for the Prediction of a Severe Storm over North China D. Xu et al.
36. A geo‐statistical observation operator for the assimilation of near‐surface wind data J. Bédard et al.
37. Development of an Operational Hybrid Data Assimilation System at KIAPS I. Kwon et al.
38. The Advantages of Hybrid 4DEnVar in the Context of the Forecast Sensitivity to Initial Conditions H. Song et al.
39. Ensemble analysis and forecast of ecosystem indicators in the North Atlantic using ocean colour observations and prior statistics from a stochastic NEMO–PISCES simulator M. Popov et al.
40. The Modular and Integrated Data Assimilation System at Environment and Climate Change Canada (MIDAS v3.9.1) M. Buehner et al.
41. Development of an Early Warning and Incident Response System for the Protection of Visitors from Natural Hazards in Important Outdoor Sites in Greece C. Psaroudakis et al.
42. An OSSE-Based Evaluation of Hybrid Variational–Ensemble Data Assimilation for the NCEP GFS. Part I: System Description and 3D-Hybrid Results D. Kleist & K. Ide
43. Data assimilation in the geosciences: An overview of methods, issues, and perspectives A. Carrassi et al.
44. A 3D ensemble variational data assimilation scheme for the limited‐area AROME model: Formulation and preliminary results T. Montmerle et al.
45. Relationships among Four-Dimensional Hybrid Ensemble–Variational Data Assimilation Algorithms with Full and Approximate Ensemble Covariance Localization C. Liu & M. Xue
46. On the Use of Cost-Effective Valid-Time-Shifting (VTS) Method to Increase Ensemble Size in the GFS Hybrid 4DEnVar System B. Huang & X. Wang
47. Evaluation of the Four-Dimensional Ensemble-Variational Hybrid Data Assimilation with Self-Consistent Regional Background Error Covariance for Improved Hurricane Intensity Forecasts S. Zhang & Z. Pu
48. On process-oriented conditional targeted covariance inflation (TCI) for 3D-volume radar data assimilation K. Vobig et al.
49. A Four‐Dimensional Ensemble‐Variational (4DEnVar) Data Assimilation System Based on GRAPES‐GFS: System Description and Primary Tests S. Zhu et al.
50. Estimation of the Added Value of the Absolute Calibration of GPS Radio Occultation Data for Numerical Weather Prediction J. Aparicio & S. Laroche
51. Comparison between Four-Dimensional LETKF and Ensemble-Based Variational Data Assimilation with Observation Localization S. Yokota et al.
52. A parallel implementation of a 4DEnVar ensemble É. Arbogast et al.
53. Particle filters for high‐dimensional geoscience applications: A review P. van Leeuwen et al.
54. Unraveling the Mechanism of Extreme (More than 30 Sigma) Precipitation during August 2018 and 2019 over Kerala, India P. Mukhopadhyay et al.
55. Uncertainty Quantification of WRF Model for Rainfall Prediction over the Sichuan Basin, China Y. Du et al.
56. Formulation and use of 3D‐hybrid and 4D‐hybrid ensemble covariances in the Météo‐France global data assimilation system L. Berre & E. Arbogast
57. Handling non-linearity in radar data assimilation using the non-linear least squares enhanced POD-4DVar B. Zhang et al.
58. A study on harmonizing total ozone assimilation with multiple sensors Y. Rochon et al.
59. Assimilation of Infrared Radiance Observations with Sensitivity to Land Surfaces in the Canadian Ensemble–Variational System S. Dutta et al.
60. West African operational daily solar forecast errors and their link with meteorological conditions L. Clauzel et al.
61. Development of Methods and Technologies for Operational Assimilation of Meteorological Observations at the Hydrometcenter of Russia M. Tsyrulnikov et al.
62. Unraveling the socio-environmental drivers during the early COVID-19 pandemic in China A. Alaniz et al.
63. Was the extreme rainfall that caused the August 2022 flood in Pakistan predictable? I. Malik et al.
64. Optimized Localization and Hybridization to Filter Ensemble-Based Covariances B. Ménétrier & T. Auligné
65. Improving spatial localization in 4DEnVar G. Desroziers et al.
66. Hybrid 4DVAR with a Local Ensemble Tangent Linear Model: Application to the Shallow-Water Model D. Allen et al.
67. PyDA: A Hands-On Introduction to Dynamical Data Assimilation with Python S. Ahmed et al.
68. The Near-Real-Time SCALE-LETKF System: A Case of the September 2015 Kanto-Tohoku Heavy Rainfall G. Lien et al.
69. To what extent is your data assimilation scheme designed to find the posterior mean, the posterior mode or something else? D. Hodyss et al.
70. A Fast and Generic Method to Identify Parameters in Complex and Embedded Geophysical Models: The Example of Turbulent Mixing in the Ocean C. Aldebert et al.
71. Rapid troposphere tomography using adaptive simultaneous iterative reconstruction technique W. Zhang et al.
72. Regional Ensemble–Variational Data Assimilation Using Global Ensemble Forecasts W. Wu et al.
73. An Efficient Local Correlation Matrix Decomposition Approach for the Localization Implementation of Ensemble‐Based Assimilation Methods H. Zhang & X. Tian
74. An OSSE-Based Evaluation of Hybrid Variational–Ensemble Data Assimilation for the NCEP GFS. Part II: 4DEnVar and Hybrid Variants D. Kleist & K. Ide
75. Three-dimensional variational assimilation with a multivariate background error covariance for the Model for Prediction Across Scales – Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 2.0.0-beta) B. Jung et al.
76. Comparison of Hybrid-4DEnVar and Hybrid-4DVar Data Assimilation Methods for Global NWP A. Lorenc et al.
77. Regularization of the Ensemble Kalman Filter using a non-parametric, non-stationary spatial model M. Tsyrulnikov & A. Sotskiy
78. Integrated Hybrid Data Assimilation for an Ensemble Kalman Filter
79. A Second-Order Exact Ensemble Square Root Filter for Nonlinear Data Assimilation J. Tödter & B. Ahrens
80. International challenge to model the long-range transport of radioxenon released from medical isotope production to six Comprehensive Nuclear-Test-Ban Treaty monitoring stations C. Maurer et al.
81. Impact of hybrid GSI analysis using ETR ensembles V. Prasad & C. Johny
82. High-Resolution NWP Forecast Precipitation Comparison over Complex Terrain of the Sierras de Córdoba during RELAMPAGO-CACTI G. Casaretto et al.
83. Particle-filter-enhanced reinforcement learning under noisy measurements W. Song et al.
84. Sensitivities of the NCEP Global Forecast System J. Wang et al.
85. Scale-dependent background-error covariance localisation M. Buehner & A. Shlyaeva
86. Impact of Coupling with an Ice–Ocean Model on Global Medium-Range NWP Forecast Skill G. Smith et al.
87. Third international challenge to model the medium- to long-range transport of radioxenon to four Comprehensive Nuclear-Test-Ban Treaty monitoring stations C. Maurer et al.
88. An ensemble-variational inversion system for the estimation of ammonia emissions using CrIS satellite ammonia retrievals M. Sitwell et al.
89. Data Assimilation of Compressible Flows With Discontinuities: Evaluating Algorithms on Sod's Shock Tube A. Edoh et al.
90. Impacts of satellite data assimilation with different model vertical levels on QPFs downstream of the Tibetan Plateau Z. Qin & X. Zou
91. On Oceanic Initial State Errors in the Ensemble Data Assimilation for a Coupled General Circulation Model Y. Chen et al.
92. Assimilation of Wheat and Soil States into the APSIM-Wheat Crop Model: A Case Study Y. Zhang et al.
93. Implementation of Scale-Dependent Background-Error Covariance Localization in the Canadian Global Deterministic Prediction System J. Caron & M. Buehner
94. Grand ensemble forecasts verification based on two high resolution (∼12 km) global ensemble prediction systems A. Mamgain et al.
95. A hybrid approach to generating search subspaces in dynamically constrained 4-dimensional data assimilation M. Yaremchuk et al.
96. Convergent least-squares optimization methods for variational data assimilation C. Cartis et al.
97. Non-Gaussian Deterministic Assimilation of Radar-Derived Precipitation Accumulations M. Buehner & D. Jacques
98. JMA Operational Hourly Hybrid 3DVar with Singular Vector-Based Mesoscale Ensemble Prediction System S. YOKOTA et al.
99. Improvement of the Snow Depth in the Common Land Model by Coupling a Two-Dimensional Deterministic Ensemble Model with a Variational Hybrid Snow Cover Fraction Data Assimilation Scheme and a New Observation Operator J. Xu et al.
100. Estimation of regional-scale near real time reference evapotranspiration using remote sensing and weather data to improve agriculture advisory A. Soni et al.