121 citations as recorded by crossref.

1. Control of internal and external noise in genetic regulatory networks D. Orrell & H. Bolouri
2. Assessments of multiple metocean forecasts in the North Atlantic Ocean A. D'Agostini et al.
3. Shadowing Pseudo-Orbits and Gradient Descent Noise Reduction K. Judd
4. Tests of an Ensemble Kalman Filter for Mesoscale and Regional-Scale Data Assimilation. Part II: Imperfect Model Experiments Z. Meng & F. Zhang
5. Impact of model upgrades on diabatic processes in extratropical cyclones and downstream forecast evolution J. Maddison et al.
6. Role of the metric in forecast error growth: how chaotic is the weather? D. Orrell
7. Effects of stochastic parametrizations in the Lorenz '96 system D. Wilks
8. Artificial Neural Networks for Photovoltaic Power Forecasting: A Review of Five Promising Models R. Asghar et al.
9. Design of Positive, Negative, and Alternating Sign Generalized Logistic Maps W. Sayed et al.
10. Possible sources of forecast errors generated by the global/regional assimilation and prediction system for landfalling tropical cyclones. Part I: Initial uncertainties F. Zhou et al.
11. Lagrangian descriptors with uncertainty N. Chen et al.
12. Toward Improved Prediction: High-Resolution and Ensemble Modeling Systems in Operations P. Roebber et al.
13. Predictability Loss in an Intermediate ENSO Model due to Initial Error and Atmospheric Noise* A. Karspeck et al.
14. Study on the mean absolute growth of model error for chaos system . Yang Jin-Hui & . Song Jun-Qiang
15. A mathematical framework for quantifying nonlinear uncertainty propagation in eddy identification criteria C. Moser et al.
16. Time Step Sensitivity of Nonlinear Atmospheric Models: Numerical Convergence, Truncation Error Growth, and Ensemble Design J. Teixeira et al.
17. Aggressive shadowing of a low-dimensional model of atmospheric dynamics R. Lieb-Lappen & C. Danforth
18. Accounting for Model Error in Ensemble-Based State Estimation and Forecasting J. Hansen
19. Fire Weather Index: the skill provided by the European Centre for Medium-Range Weather Forecasts ensemble prediction system F. Di Giuseppe et al.
20. Integral correction of initial and model errors in system of multigrid NLS‐4DVar data assimilation for numerical weather prediction (SNAP) H. Zhang & X. Tian
21. A Note on the Role of the Initial Error Structure in the Tropics on the Seasonal-to-Decadal Forecasting Skill in the Extratropics S. Vannitsem & W. Duan
22. Stochastic modelling of model errors: a simulation study M. Tsyrulnikov
23. Clothing Sales Forecast Considering Weather Information: An Empirical Study in Brick-and-Mortar Stores by Machine-Learning J. Lv et al.
24. Conditional Gaussian Systems for Multiscale Nonlinear Stochastic Systems: Prediction, State Estimation and Uncertainty Quantification N. Chen & A. Majda
25. The effect of improved nowcasting of precipitation on air quality modeling G. Geertsema & B. Schreur
26. A causality-based learning approach for discovering the underlying dynamics of complex systems from partial observations with stochastic parameterization N. Chen & Y. Zhang
27. What might we learn from climate forecasts? L. Smith
28. Analysis of model error in forecast errors of extended atmospheric Lorenz 05 systems and the ECMWF system H. Bednář & H. Kantz
29. Examination of observation impacts derived from observing system experiments (OSEs) and adjoint models R. Gelaro & Y. Zhu
30. PV generation forecasting utilizing a classification-only approach S. Theocharides et al.
31. Heat waves in India: patterns, associations, and subseasonal prediction skill R. Mandal et al.
32. Attractor radius and global attractor radius and their application to the quantification of predictability limits J. Li et al.
33. Hamilton Energy Characteristics of Chaotic Systems and Energy Flow in Magnetically Coupled Circuits J. Li & B. Zhang
34. Anticipating bugs: Ticket-level bug prediction and temporal proximity effects D. La Prova et al.
35. Consistent nonlinear dynamics: identifying model inadequacy P. McSharry & L. Smith
36. Using the (3N)-Dimensional Generalized Lorenz Systems as a Testbed for Data Assimilation: The Ensemble Kalman Filter S. Moon & J. Baik
37. Empirical correction techniques: analysis and applications to chaotically driven low-order atmospheric models I. Trpevski et al.
38. Learning nonlinear turbulent dynamics from partial observations via analytically solvable conditional statistics N. Chen
39. Laplace’s Demon and the Adventures of His Apprentices R. Frigg et al.
40. Clustering numerical weather forecasts to obtain statistical prediction intervals A. Zarnani et al.
41. Forcing singular vectors and other sensitive model structures J. Barkmeijer et al.
42. Machine learning based algorithms for uncertainty quantification in numerical weather prediction models A. Moosavi et al.
43. A Martingale-Free Introduction to Conditional Gaussian Nonlinear Systems M. Andreou & N. Chen
44. Partly Cloudy With a Chance of Lava Flows: Forecasting Volcanic Eruptions in the Twenty‐First Century M. Poland & K. Anderson
45. Investigating the efficacy of a new symmetric index of agreement for evaluating WRF simulated summer monsoon rainfall over northeast India A. Chakravorty et al.
46. Predictability of Extratropical Cyclones: The Influence of Initial Condition and Model Uncertainties H. Zhu & A. Thorpe
47. Model error and sequential data assimilation: A deterministic formulation A. Carrassi et al.
48. Northward propagation of convection over the Indian region in multiphysics multimodel ensemble N. Karmakar et al.
49. Forecast improvement in Lorenz 96 system L. Basnarkov & L. Kocarev
50. Wave propagation in the Lorenz-96 model D. van Kekem & A. Sterk
51. Impact of evolution of initial conditions in tropical cyclone forecasting S. Kotal & S. Bhattacharya
52. 基于扩展卡尔曼滤波和自动微分技术对陆面数据同化系统参数的快速估计及其影响 佳. 田 et al.
53. How good is an ensemble at capturing truth? Using bounding boxes for forecast evaluation K. Judd et al.
54. Impact of nonlinearities and model error on pseudo-inverse calculations C. Reynolds
55. Inverse problems: A Bayesian perspective A. Stuart
56. Complex versus simple models: ion-channel cardiac toxicity prediction H. Mistry
57. Multi-Model Multi-Physics Ensemble: A Futuristic Way to Extended Range Prediction System A. Sahai et al.
58. Efficient high-dimensional variational data assimilation with machine-learned reduced-order models R. Maulik et al.
59. An EPC Forecasting Method for Stock Index Based on Integrating Empirical Mode Decomposition, SVM and Cuckoo Search Algorithm X. Li et al.
60. An eddifying Stommel model: fast eddy effects in a two-box ocean W. Barham & I. Grooms
61. A comparison of variance and total‐energy singular‐vectors C. Reynolds et al.
62. Conceptual Models for Exploring Sea-Surface Temperature Variability Vis-à Long-Range Weather Forecasting S. Soldatenko
63. Analysis of the Spread–Skill Relations Using the ECMWF Ensemble Prediction System over Europe S. Scherrer et al.
64. Applying Fuzzy Clustering to a Multimodel Ensemble for U.S. East Coast Winter Storms: Scenario Identification and Forecast Verification M. Zheng et al.
65. Against steady state E. Garzanti & P. Sternai
66. On the relative role of east and west pacific sea surface temperature (SST) gradients in the prediction skill of Central Pacific NINO3.4 SST S. Lekshmi et al.
67. Additive Model Perturbations Scaled by Physical Tendencies for Use in Ensemble Prediction M. Tsyrulnikov et al.
68. Effects of Coarsely Resolved and Temporally Interpolated Lateral Boundary Conditions on the Dispersion of Limited-Area Ensemble Forecasts P. Nutter et al.
69. The Influence of Atmospheric Noise and Uncertainty in Ocean Initial Conditions on the Limit of Predictability in a Coupled GCM C. Stan & B. Kirtman
70. High-resolution ensemble prediction of a polar low development J. Kristiansen et al.
71. Pseudo-Orbit Data Assimilation. Part II: Assimilation with Imperfect Models H. Du & L. Smith
72. Optimal atmospheric forcing perturbations for the cold-ocean warm-land pattern T. Iversen et al.
73. Optimization of NWP model closure parameters using total energy norm of forecast error as a target P. Ollinaho et al.
74. Estimation of the systematic error of precipitation and humidity in the MM5 model S. Ivanov et al.
75. A multi-model study of atmosphere predictability in coupled ocean–atmosphere systems Y. Ma et al.
76. Ensemble characteristics of an analog ensemble (AE) system for simultaneous prediction of multiple surface meteorological variables at local scale N. Batolar et al.
77. Role of the metric in forecast error growth: how chaotic is the weather? D. Orrell
78. Global Well-Posedness of Stochastic Nematic Liquid Crystals with Random Initial and Boundary Conditions Driven by Multiplicative Noise L. Wang et al.
79. Unsupervised learning on U.S. weather forecast performance C. Lin et al.
80. ESTIMATING ERROR GROWTH AND SHADOW BEHAVIOR IN NONLINEAR DYNAMICAL SYSTEMS D. ORRELL
81. Atmospheric Data Assimilation with an Ensemble Kalman Filter: Results with Real Observations P. Houtekamer et al.
82. Ensemble Forecasting in a System with Model Error D. Orrell
83. Making Forecasts for Chaotic Physical Processes C. Danforth & J. Yorke
84. The role of model and initial condition error in numerical weather forecasting investigated with an observing system simulation experiment N. Privé & R. Errico
85. Surface Weather Parameters Forecasting Using Analog Ensemble Method over the Main Airports of Morocco B. Alaoui et al.
86. Hybrid numerical models for wind speed forecasting M. Brabec et al.
87. The Impact of Spatial Dynamic Error on the Assimilation of Soil Moisture Retrieval Products X. Bai et al.
88. Comparison of deterministic and ensemble weather forecasts on ship sailing speed optimization X. Luo et al.
89. VISUALIZING BIFURCATIONS IN HIGH DIMENSIONAL SYSTEMS: THE SPECTRAL BIFURCATION DIAGRAM D. ORRELL & L. SMITH
90. Quantitative study of the relative effects of initial condition and model uncertainties on local predictability in a nonlinear dynamical system X. Li et al.
91. Ensemble Experiments on Numerical Weather Prediction Error and Uncertainty for a North Pacific Forecast Failure J. Hacker et al.
92. The Importance of Ensemble Techniques for Operational Space Weather Forecasting S. Murray
93. An antidote for hawkmoths: on the prevalence of structural chaos in non-linear modeling L. Nabergall et al.
94. Spatial impact of projected changes in rainfall and temperature on wheat yields in Australia A. Potgieter et al.
95. Model Error, Information Barriers, State Estimation and Prediction in Complex Multiscale Systems A. Majda & N. Chen
96. FILTERING CHAOS: A TECHNIQUE TO ESTIMATE DYNAMICAL AND OBSERVATIONAL NOISE IN NONLINEAR SYSTEMS D. ORRELL
97. Valuing information from mesoscale forecasts K. Kok et al.
98. Finite Cascades of Pitchfork Bifurcations and Multistability in Generalized Lorenz-96 Models A. Pelzer & A. Sterk
99. Efficient Adaptive Monte Carlo Uncertainty Forecasting for High Dimensional Nonlinear Dynamic Systems A. Vanfossen & M. Kumar
100. Evaluation of ‘GLAMEPS’—a proposed multimodel EPS for short range forecasting T. Iversen et al.
101. Partition of analysis and forecast error variance into growing and decaying components J. Feng et al.
102. A Limited-Memory Multiple Shooting Method for Weakly Constrained Variational Data Assimilation W. Xu & M. Anitescu
103. Predictability of large-scale atmospheric motions: Lyapunov exponents and error dynamics S. Vannitsem
104. Spectral analysis of forecast error investigated with an observing system simulation experiment N. Privè & R. Errico
105. A Low-Memory Approach for Best-State Estimation of Hidden Markov Models with Model Error M. Anitescu et al.
106. System economics: Overcoming the pitfalls of forecasting models via a multidisciplinary approach D. Orrell & P. McSharry
107. Error characteristics of temperature forecast in Finland for the period 1979–2011 in relation to various weather patterns J. Hyrkkänen et al.
108. Optimization of the Fixed Global Observing Network in a Simple Model C. Bishop et al.
109. Wind gust estimation by combining a numerical weather prediction model and statistical post-processing P. Patlakas et al.
110. Diagnosis of systematic analysis increments by using normal modes N. Žagar et al.
111. A post-processing method applied to simulated wind speeds in Romania A. Craciun & S. Stefan
112. Using the (Iterative) Ensemble Kalman Smoother to Estimate the Time Correlation in Model Error J. Amezcua et al.
113. Quick estimation of parameters for the land surface data assimilation system and its influence based on the extended Kalman filter and automatic differentiation J. Tian et al.
114. Demonstrating the value of larger ensembles in forecasting physical systems R. Machete & L. Smith
115. Global well-posedness of stochastic 2D primitive equations with random initial conditions G. Zhou & B. Guo
116. Saturation property of mean growth of initial error for chaos systems . Yang Jin-Hui & . Song Jun-Qiang
117. Model Error and Predictability over Different Timescales in the Lorenz '96 Systems D. Orrell
118. Determinants of bovine thermal response to heat and solar radiation exposures in a field environment B. Scharf et al.
119. Predicting long-term air pollutant concentrations through deep learning-based integration of heterogeneous urban data C. Chen et al.
120. Effects of parameter and data uncertainty on long-term projections in a model of the global forest sector J. Buongiorno & C. Johnston
121. Parametric sensitivity analysis of precipitation and temperature based on multi-uncertainty quantification methods in the Weather Research and Forecasting model Z. Di et al.