All Stories

  1. Dynamic mode decomposition with core sketch
  2. An AI-based non-intrusive reduced-order model for extended domains applied to multiphase flow in pipes
  3. Spatio‐temporal Hourly and Daily Ozone Forecasting in China Using a Hybrid Machine Learning Model: Autoencoder and Generative Adversarial Networks
  4. A nonintrusive hybrid neural-physics modeling of incomplete dynamical systems: Lorenz equations
  5. A real-time flow forecasting with deep convolutional generative adversarial network: Application to flooding event in Denmark
  6. An advanced hybrid deep adversarial autoencoder for parameterized nonlinear fluid flow modelling
  7. A POD reduced-order model based on spectral Galerkin method for solving the space-fractional Gray–Scott model with error estimate
  8. Feasibility of DEIM for retrieving the initial field via dimensionality reduction
  9. Long lead-time daily and monthly streamflow forecasting using machine learning methods
  10. Long short-term memory embedded nudging schemes for nonlinear data assimilation of geophysical flows
  11. Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network
  12. A proper orthogonal decomposition variational multiscale meshless interpolating element free Galerkin method for incompressible magnetohydrodynamics flow
  13. Sampling and resolution characteristics in reduced order models of shallow water equations: intrusive vs non‐intrusive
  14. Modeling dynamic patterns from COVID-19 data using randomized dynamic mode decomposition in predictive mode and ARIMA
  15. Third-order sparse grid generalized spectral elements on hexagonal cells for uniform-speed advection in a plane
  16. Memory embedded non-intrusive reduced order modeling of non-ergodic flows
  17. Rapid spatio-temporal flood prediction and uncertainty quantification using a deep learning method
  18. Medium range forecasts using cut-cells: a sensitivity study
  19. A domain decomposition method for the non-intrusive reduced order modelling of fluid flow
  20. A Domain Decomposition Non-Intrusive Reduced Order Model for Turbulent Flows
  21. Processing epidemiological data using dynamic mode decomposition method
  22. A Reduced Order Model for the Fast Predictions of Reactivity and Neutron Distributions within Reactor Cores
  23. Performance of Adaptive Unstructured Mesh Modelling in Idealized Advection Cases over Steep Terrains
  24. A reduced order model for turbulent flows in the urban environment using machine learning
  25. Machine learning-based rapid response tools for regional air pollution modelling
  26. Well Optimisation With Goal-Based Sensitivity Maps Using Time Windows And Ensemble Perturbations
  27. Efficiency of randomised dynamic mode decomposition for reduced order modelling
  28. Non-intrusive model reduction for a 3D unstructured mesh control volume finite element reservoir model and its application to fluvial channels
  29. An indirect shooting method based on the POD/DEIM technique for distributed optimal control of the wave equation
  30. Towards non-intrusive reduced order 3D free surface flow modelling
  31. A parameterized non-intrusive reduced order model and error analysis for general time-dependent nonlinear partial differential equations and its applications
  32. Randomized dynamic mode decomposition for nonintrusive reduced order modelling
  33. Comparative numerical analysis using reduced-order modeling strategies for nonlinear large-scale systems
  34. A non-intrusive reduced-order model for compressible fluid and fractured solid coupling and its application to blasting
  35. Non-intrusive Reduced Order Modelling of Waterflooding in Geologically Heterogeneous Reservoirs
  36. An efficient goal-based reduced order model approach for targeted adaptive observations
  37. Non-intrusive reduced order modelling with least squares fitting on a sparse grid
  38. Non-intrusive reduced-order modeling for multiphase porous media flows using Smolyak sparse grids
  39. The method of dynamic mode decomposition in shallow water and a swirling flow problem
  40. 2D Burgers equation with large Reynolds number using POD/DEIM and calibration
  41. Ensemble data assimilation applied to an adaptive mesh ocean model
  42. Non-intrusive reduced order modelling of fluid–structure interactions
  43. On linear and nonlinear aspects of dynamic mode decomposition
  44. A POD reduced order model for resolving angular direction in neutron/photon transport problems
  45. POD/DEIM reduced-order strategies for efficient four dimensional variational data assimilation
  46. Non-intrusive reduced order modelling of the Navier–Stokes equations
  47. An improved algorithm for the shallow water equations model reduction: Dynamic Mode Decomposition vs POD
  48. A Study of Coupling Parameter Estimation Implemented by 4D-Var and EnKF with a Simple Coupled System
  49. An ensemble method for sensor optimisation applied to falling liquid films
  50. Reduced order modelling of an unstructured mesh air pollution model and application in 2D/3D urban street canyons
  51. Comparison of POD reduced order strategies for the nonlinear 2D shallow water equations
  52. Non-linear model reduction for the Navier–Stokes equations using residual DEIM method
  53. Reduced order borehole induction modelling
  54. Application of POD-DEIM Approach for Dimension Reduction of a Diffusive Predator-Prey System with Allee Effect
  55. Numerical Comparison of Iterative Ensemble Kalman Filters for Unsaturated Flow Inverse Modeling
  56. Part B: Sensitivity Analysis in Nonlinear Variational Data Assimilation: Theoretical Aspects and Applications
  57. Model reduction of a coupled numerical model using proper orthogonal decomposition
  58. Erratum
  59. Non-parametric calibration of the local volatility surface for European options using a second-order Tikhonov regularization
  60. A POD reduced-order model for eigenvalue problems with application to reactor physics
  61. The independent set perturbation method for efficient computation of sensitivities with applications to data assimilation and a finite element shallow water model
  62. POD/DEIM nonlinear model order reduction of an ADI implicit shallow water equations model
  63. A reduced-order finite volume element formulation based on POD method and numerical simulation for two-dimensional solute transport problems
  64. Non-linear Petrov–Galerkin methods for reduced order modelling of the Navier–Stokes equations using a mixed finite element pair
  65. POD reduced-order unstructured mesh modeling applied to 2D and 3D fluid flow
  66. Reduced order modeling based on POD of a parabolized Navier–Stokes equations model II: Trust region POD 4D VAR data assimilation
  67. Non-linear Petrov–Galerkin methods for reduced order hyperbolic equations and discontinuous finite element methods
  68. Parameter estimation of subsurface flow models using iterative regularized ensemble Kalman filter
  69. Numerical control of two-dimensional shock waves in dual solution domain by instant temperature disturbances
  70. A penalized four-dimensional variational data assimilation method for reducing forecast error related to adaptive observations
  71. Impact of non-smooth observation operators on variational and sequential data assimilation for a limited-area shallow-water equation model
  72. An optimizing implicit difference scheme based on proper orthogonal decomposition for the two-dimensional unsaturated soil water flow equation
  73. Reduced-order modeling based on POD of a parabolized Navier-Stokes equation model I: forward model
  74. Effect of random perturbations on adaptive observation techniques
  75. A theoretical study of HH σ bond activation catalyzed by VO2 + in gas phase
  76. A dual-weighted trust-region adaptive POD 4-D Var applied to a finite-volume shallow water equations model on the sphere
  77. A dual-weighted trust-region adaptive POD 4D-VAR applied to a finite-element shallow-water equations model
  78. An optimizing finite difference scheme based on proper orthogonal decomposition for CVD equations
  79. Spectral stochastic two-scale convergence method for parabolic PDEs
  80. The estimation of functional uncertainty using polynomial chaos and adjoint equations
  81. The independent set perturbation adjoint method: A new method of differentiating mesh-based fluids models
  82. Criteria of optimality for sensors' location based on adjoint transformation of observation data interpolation error
  83. Editorial
  84. Numerical modelling of cavitation erosion
  85. A POD reduced-order 4D-Var adaptive mesh ocean modelling approach
  86. An optimizing reduced PLSMFE formulation for non-stationary conduction-convection problems
  87. Reduced-order modelling of an adaptive mesh ocean model
  88. Comparison of advanced large-scale minimization algorithms for the solution of inverse ill-posed problems
  89. A POD reduced order unstructured mesh ocean modelling method for moderate Reynolds number flows
  90. A POD goal-oriented error measure for mesh optimization
  91. Data Assimilation for Geophysical Fluids
  92. Comparison of sequential data assimilation methods for the Kuramoto-Sivashinsky equation
  93. Different approaches to model error formulation in 4D-Var: a study with high-resolution advection schemes
  94. Different approaches to model error formulation in 4D-Var: a study with high-resolution advection schemes
  95. An estimation of the sensitivity of numerical error norm using adjoint model
  96. Mixed Finite Element Formulation and Error Estimates Based on Proper Orthogonal Decomposition for the Nonstationary Navier–Stokes Equations
  97. Estimation of goal functional error arising from iterative solution of Euler equations
  98. The Maximum Likelihood Ensemble Filter as a non‐differentiable minimization algorithm
  99. A Dual-Weighted Approach to Order Reduction in 4DVAR Data Assimilation
  100. Proper orthogonal decomposition approach and error estimation of mixed finite element methods for the tropical Pacific Ocean reduced gravity model
  101. Predictability, Observations, and Uncertainties in the Geosciences
  102. Efficiency of a POD-based reduced second-order adjoint model in 4D-Var data assimilation
  103. An optimizing reduced order FDS for the tropical Pacific Ocean reduced gravity model
  104. Adaptive ensemble reduction and inflation
  105. A reduced-order approach to four-dimensional variational data assimilation using proper orthogonal decomposition (Int. J. Numer. Meth. Fluids 2007;53(10):1571–1583)
  106. A reduced-order approach to four-dimensional variational data assimilation using proper orthogonal decomposition
  107. Open Boundary Control Problem for Navier-Stokes Equations Including a Free Surface: Data Assimilation
  108. Reduced-Order Modeling of the Upper Tropical Pacific Ocean Model using Proper Orthogonal Decomposition
  109. Adjoint A Posteriori Error Measures for Anisotropic Mesh Optimisation
  110. A Note on the Particle Filter with Posterior Gaussian Resampling
  111. Initiation of ensemble data assimilation
  112. Initiation of ensemble data assimilation
  113. A posteriori error estimation by postprocessor independent of method of flowfield calculation
  114. A comparative study of the performance of high resolution advection schemes in the context of data assimilation
  115. Adjoint goal-based error norms for adaptive mesh ocean modelling
  116. Adjoint correction and bounding of error using lagrange form of truncation term
  117. Analysis of the singular vectors of the full-physics Florida State University Global Spectral Model
  118. Sensitivity and Uncertainty Analysis, Volume II
  119. On a posteriori pointwise error estimation using adjoint temperature and Lagrange remainder
  120. The Impact of Background Error on Incomplete Observations for 4D-Var Data Assimilation with the FSU GSM
  121. Nuclear transparency in90c.m.°quasielasticA(p,2p)reactions
  122. A Perfectly Matched Layer Approach to the Linearized Shallow Water Equations Models
  123. Adaptive observations in the context of 4D-Var data assimilation
  124. A posteriori pointwise error estimation for compressible fluid flows using adjoint parameters and Lagrange remainder
  125. The GEOS-3 Retrospective Data Assimilation System: The 6-Hour Lag Case
  126. An Analysis of a Hybrid Optimization Method for Variational Data Assimilation
  127. Editorial
  128. Calculation of Uncertainty Propagation using Adjoint Equations
  129. Performance of hybrid methods for large-scale unconstrained optimization as applied to models of proteins
  130. Improved Skill for the Anomaly Correlation of Geopotential Heights at 500 hPa
  131. Truncated-Newton training algorithm for neurocomputational viscoplastic model
  132. Optimal control of flow with discontinuities
  133. Numerical and theoretical considerations for sensitivity calculation of discontinuous flow
  134. Optimal control of cylinder wakes via suction and blowing
  135. Second-Order Information in Data Assimilation*
  136. On Estimation of Temperature Uncertainty Using the Second Order Adjoint Problem
  137. Mesh refinement strategies for solving singularly perturbed reaction-diffusion problems
  138. The analysis of an ill-posed problem using multi-scale resolution and second-order adjoint techniques
  139. Suppression of vortex shedding for flow around a circular cylinder using optimal control
  140. Use of Differentiable and Nondifferentiable Optimization Algorithms for Variational Data Assimilation with Discontinuous Cost Functions
  141. Performance of 4D-Var with Different Strategies for the Use of Adjoint Physics with the FSU Global Spectral Model
  142. Sensitivity to Large-Scale Environmental Fields of the Relaxed Arakawa–Schubert Parameterization in the NASA GEOS-1 GCM
  143. A global uniformly convergent finite element method for a quasi-linear singularly perturbed elliptic problem
  144. Impact of Parameter Estimation on the Performance of the FSU Global Spectral Model Using Its Full-Physics Adjoint
  145. Study of Block Onset Using Sensitivity Perturbations in Climatological Flows
  146. The large momentum transfer reaction 12C(p,2p + n) as a new method for measuring short range NN correlations in nuclei
  147. Global uniformly convergent finite element methods for singularly perturbed elliptic boundary value problems: higher-order elements
  148. Performance of efficient minimization algorithms as applied to models of peptides and proteins
  149. Uniformly convergent finite element methods for singularly perturbed elliptic boundary value problems: convection—diffusion type
  150. Uniformly convergent finite element methods for singularly perturbed elliptic boundary value problems I: Reaction-diffusion Type
  151. Adjoint sensitivity of the Earth's radiation budget in the NCEP medium-range forecasting model
  152. Editorial
  153. FSU-GSM forecast error sensitivity to initial conditions: Application to Indian summer monsoon
  154. Practical and theoretical aspects of adjoint parameter estimation and identifiability in meteorology and oceanography
  155. Application of a New Adjoint Newton Algorithm to the 3D ARPS Storm-Scale Model Using Simulated Data
  156. Analysis of the Turkel–Zwas Scheme for the Two-Dimensional Shallow Water Equations in Spherical Coordinates
  157. A New Hessian Preconditioning Method Applied to Variational Data Assimilation Experiments Using NASA General Circulation Models
  158. Parallel Block Preconditioning Techniques for the Numerical Simulation of the Shallow Water Flow Using Finite Element Methods
  159. Sequential Open-Boundary Control by Data Assimilation in a Limited-Area Model
  160. A truncated Newton optimization algorithm in meteorology applications with analytic Hessian/vector products
  161. Variational Data Assimilation, Optimal Parameter Estimation and Sensitivity Analysis for Environmental Problems
  162. Iterative Domain Decomposition Algorithms: Theory and Applications
  163. Four-Dimensional Variational Data Assimilation Experiments with a Multilevel Semi-Lagrangian Semi-Implicit General Circulation Model
  164. Variational Data Assimilation with a Variable Resolution Finite-Element shallow-water Equations Model
  165. Parallel domain-decomposed preconditioners in finite element shallow water flow modeling
  166. Variational data assimilation with moist threshold processes using the NMC spectral model
  167. Variational data assimilation with moist threshold processes using the NMC spectral model
  168. An Adjoint Sensitivity Study of Blocking in a Two-Layer Isentropic Model
  169. Domain decomposition and parallel processing of a finite element model of the shallow water equations
  170. Variational Data Assimilation with a Semi-Lagrangian Semi-implicit Global Shallow-Water Equation Model and Its Adjoint
  171. Control Of Gravitational Oscillations in Variational Data Assimilation
  172. An Optimal Nudging Data Assimilation Scheme Using Parameter Estimation
  173. The Conjugate-Gradient Variational Analysis and Initialization Method: An Application to MONEX SOP 2 Data
  174. Incomplete observations and control of gravity waves in variational data assimilation
  175. Incomplete observations and control of gravity waves in variational data assimilation
  176. A Comparison of the Impact of Two Time-differencing Schemes on the NASA-GLAS Climate Model
  177. Variational Data Assimilation with an Adiabatic Version of the NMC Spectral Model
  178. The second order adjoint analysis: Theory and applications
  179. Exshall: A Turkel-Zwas explicit large time-step FORTRAN program for solving the shallow-water equations in spherical coordinates
  180. VARIATM—A FORTRAN program for objective analysis of pseudostress wind fields using large-scale conjugate-gradient minimization
  181. Finite-element schemes for extended integrations of atmospheric models
  182. Vectorization of conjugate-gradient methods for large-scale minimization in meteorology
  183. A combined simulated annealing and quasi-Newton-like conjugate-gradient method for determining the structure of mixed argon-xenon clusters
  184. Analysis of the Turkel-Zwas scheme for the shallow-water equations
  185. Objective Analysis of Pseudostress over the Indian Ocean Using a Direct-Minimization Approach
  186. Determination of the structure of mixed argon–xenon clusters using a finite‐temperature, lattice‐based Monte Carlo method
  187. Search for muon-electron and muon-positron conversion
  188. Introduction
  189. The Application of the Turkel–Zwas Explicit Large Time-Step Scheme to a Hemispheric Barotropic Model with Constraint Restoration
  190. FEUDX: a two-stage, high-accuracy, finite-element FORTRAN program for solving shallow-water equations
  191. Pent: A periodic pentadiagonal systems solver
  192. The Bayliss-Isaacson algorithm and the constraint restoration method are equivalent
  193. A Comparison of the Bounded Derivative and the Normal-Mode Initialization Methods Using Real Data
  194. Shall4 — an implicit compact fourth-order FORTRAN program for solving the shallow-water equations in conservation-law form
  195. Gustaf: A quasi-newton nonlinear ADI FORTRAN IV program for solving the shallow-water equations with augmented lagrangians
  196. A Numerov-Galerkin technique applied to a finite-element shallow-water equations model with enforced conservation of integral invariants and selective lumping
  197. Combined Penalty Multiplier Optimization Methods to Enforce Integral Invariants Conservation
  198. A linear ADI method for the shallow-water equations
  199. A Fourth-Order Compact Implicit Scheme for Solving the Non-Linear Shallow-Water Equations in Conservation-Law Form
  200. Finite-element simulation of the shallow-water equations model on a limited-area domain
  201. An Implicit Compact Fourth-Order Algorithm for Solving the Shallow-Water Equations in Conservation-Law Form
  202. FESW — a finite-element Fortran IV program for solving the shallow-water equations
  203. ADIF, a FORTRAN IV program for solving the shallow-water equations
  204. Application of fourth-order finite differences to a baroclinic model of the atmosphere
  205. Data Assimilation for Numerical Weather Prediction: A Review
  206. Non Parametric Calibration of the Local Volatility Surface for European Options Using a Second Order Tikhonov Regularization