[HTML][HTML] Evaluating high-frequency radar data assimilation impact in coastal ocean operational modelling
The impact of the assimilation of HFR (high-frequency radar) observations in a high-
resolution regional model is evaluated, focusing on the improvement of the mesoscale …
resolution regional model is evaluated, focusing on the improvement of the mesoscale …
[HTML][HTML] A four-dimensional incremental analysis update for the ensemble Kalman filter
L Lei, JS Whitaker - Monthly Weather Review, 2016 - journals.ametsoc.org
A Four-Dimensional Incremental Analysis Update for the Ensemble Kalman Filter in:
Monthly Weather Review Volume 144 Issue 7 (2016) Jump to Content Jump to Main …
Monthly Weather Review Volume 144 Issue 7 (2016) Jump to Content Jump to Main …
Assimilation of deformation data for eruption forecasting: Potentiality assessment based on synthetic cases
In monitoring active volcanoes, the magma overpressure is one of the key parameters used
in forecasting volcanic eruptions. This parameter can be inferred from the ground …
in forecasting volcanic eruptions. This parameter can be inferred from the ground …
OpenDA-NEMO framework for ocean data assimilation
Data assimilation methods provide a means to handle the modeling errors and uncertainties
in sophisticated ocean models. In this study, we have created an OpenDA-NEMO framework …
in sophisticated ocean models. In this study, we have created an OpenDA-NEMO framework …
Assimilation of sea surface temperature, sea ice concentration and sea ice drift in a model of the Southern Ocean
Current ocean models have relatively large errors and biases in the Southern Ocean. The
aim of this study is to provide a reanalysis from 1985 to 2006 assimilating sea surface …
aim of this study is to provide a reanalysis from 1985 to 2006 assimilating sea surface …
Assessment of a nonlinear ensemble transform filter for high-dimensional data assimilation
J Tödter, P Kirchgessner, L Nerger… - Monthly Weather …, 2016 - journals.ametsoc.org
This work assesses the large-scale applicability of the recently proposed nonlinear
ensemble transform filter (NETF) in data assimilation experiments with the NEMO ocean …
ensemble transform filter (NETF) in data assimilation experiments with the NEMO ocean …
Data assimilation with the ensemble Kalman filter in a high-resolution wave forecasting model for coastal areas
The present work describes a post-processing implementation of the ensemble Kalman filter
(EnKF) that is used to improve the wave predictions in a high-resolution Simulating Waves …
(EnKF) that is used to improve the wave predictions in a high-resolution Simulating Waves …
An ensemble Kalman filter system with the Stony Brook Parallel Ocean Model v1. 0
S Ohishi, T Hihara, H Aiki, J Ishizaka… - Geoscientific Model …, 2022 - gmd.copernicus.org
This study develops an ensemble Kalman filter (EnKF)-based regional ocean data
assimilation system in which the local ensemble transform Kalman filter (LETKF) is …
assimilation system in which the local ensemble transform Kalman filter (LETKF) is …
Ensemble assimilation of ARGO temperature profile, sea surface temperature, and altimetric satellite data into an eddy permitting primitive equation model of the N …
Sea surface height, sea surface temperature, and temperature profiles at depth collected
between January and December 2005 are assimilated into a realistic eddy permitting …
between January and December 2005 are assimilated into a realistic eddy permitting …
The smoother extension of the nonlinear ensemble transform filter
P Kirchgessner, J Tödter, B Ahrens… - Tellus A: Dynamic …, 2017 - Taylor & Francis
The recently-proposed nonlinear ensemble transform filter (NETF) is extended to a fixed-lag
smoother. The NETF approximates Bayes' theorem by applying a square root update. The …
smoother. The NETF approximates Bayes' theorem by applying a square root update. The …