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An ensemble-based data assimilation system for forecasting variability of the Northwestern Pacific ocean
An adjoint-free four-dimensional variational (a4dVar) data assimilation (DA) is implemented in an operational ocean forecast system based on an...
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A natural Hessian approximation for ensemble based optimization
A key challenge in reservoir management and other fields of engineering involves optimizing a nonlinear function iteratively. Due to the lack of...
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Low-Rank Ensemble Methods
This chapter willError covariance matrix introduce another approximation where we represent all state error covariances using a finite ensemble of...
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Ensemble Kalman Inversion for Determining Model Parameter of Self-potential Data in the Mineral Exploration
Self-potential (SP) method has been increasingly popular in geophysical exploration of mineral resources using an assumption that the causative...
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Combining ensemble Kalman filter and multiresolution analysis for efficient assimilation into adaptive mesh models
A new approach is developed for data assimilation into adaptive mesh models with the ensemble Kalman filter (EnKF). The EnKF is combined with a...
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How to choose credible ensemble members for the sub-seasonal to seasonal prediction of precipitation?
The sub-seasonal to seasonal (S2S) prediction of precipitation is not only a hot topic but also a challenge. The traditional ensemble mean and...
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Signal Detection and Enhancement for Seismic Crosscorrelation Using the Wavelet-Domain Kalman Filter
Crosscorrelation is a classical signal-processing technique that plays an important role in exploration and earthquake geophysics. Seismic velocity...
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Assimilation of GOES-R Geostationary Lightning Mapper Flash Extent Density Data in GSI 3DVar, EnKF, and Hybrid En3DVar for the Analysis and Short-Term Forecast of a Supercell Storm Case
Capabilities to assimilate Geostationary Operational Environmental Satellite “R-series” (GOES-R) Geostationary Lightning Mapper (GLM) flash extent...
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Ensemble-based history matching of the Edvard Grieg field using 4D seismic data
The Edvard Grieg field is a highly complex and heterogeneous reservoir with an extensive fault structure and a mixture of sandstone, conglomerate,...
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Characterization of three-dimensional channel reservoirs using ensemble Kalman filter assisted by principal component analysis
Ensemble-based analyses are useful to compare equiprobable scenarios of the reservoir models. However, they require a large suite of reservoir models...
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Dynamical downscaling using CGCM ensemble average: an application to seasonal prediction for summer precipitation over South Korea
This study investigates how to properly downscale the coupled general circulation model (CGCM) ensemble prediction dynamically more efficiently than...
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Assimilating Precipitation Features Based on the Fractions Skill Score: An Idealized Study with an Intermediate AGCM
Advanced observation techniques such as radars and satellites provide spatial patterns of precipitationPrecipitation areas on regional scales and...
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Calibration and uncertainty analysis of integrated SWAT-MODFLOW model based on iterative ensemble smoother method for watershed scale river-aquifer interactions assessment
River-aquifer interaction is a key component of the hydrological cycle that affects water resources and quality. Recently, the application of...
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Linear EnKF Update
The Kalman filter or its ensemble version, the ensemble Kalman filter, is optimal for a linear model and -measurement operator. This chapter will...
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The Impact of Satellite Radiance Data Assimilation within a Frequently Updated Regional Forecast System Using a GSI-based Ensemble Kalman Filter
A regional ensemble Kalman filter (EnKF) data assimilation (DA) and forecast system was recently established based on the Gridpoint Statistical...
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Improved forecast of 2015/16 El Niño event in an experimental coupled seasonal ensemble forecasting system
To improve NOAA’s seasonal forecasting capabilities, a new coupled system within the Unified Forecast System (UFS) framework is being developed...
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Evaluation of the Global Ensemble Forecast System (GEFS T1534) for the probabilistic prediction of cyclonic disturbances over the North Indian Ocean during 2020 and 2021
With increasing number of cyclonic disturbances (CDs) over the North Indian Ocean, the prediction of pre-genesis, along with the accurate forecast of...
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The statistical observation localized equivalent-weights particle filter in a simple nonlinear model
This paper presents an improved approach based on the equivalent-weights particle filter (EWPF) that uses the proposal density to effectively improve...
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Ensemble forecast of tropical cyclone tracks based on deep neural networks
A nonlinear artificial intelligence ensemble forecast model has been developed in this paper for predicting tropical cyclone (TC) tracks based on the...
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How much does a high-resolution global ensemble forecast improve upon deterministic prediction skill for the Indian summer monsoon?
The global Ensemble Prediction System (EPS) at NCMRWF (NEPS-G) comprises of 22 perturbed members in addition to the control (CNTL) member at 12 km...
