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[HTML][HTML] Assessment of high-resolution regional ocean reanalysis K-ORA22 for the Northwest Pacific
I Chang, YH Kim, YG Park, H **, G Pak, JI Kwon… - Progress in …, 2024 - Elsevier
Abstract The Korea Institute of Ocean Science and Technology developed the Korea
Operational Oceanographic System-Ocean Predictability Experiment for Marine …
Operational Oceanographic System-Ocean Predictability Experiment for Marine …
Insights from very‐large‐ensemble data assimilation experiments with a high‐resolution general circulation model of the Red Sea
S Sanikommu, N Raboudi… - Quarterly Journal of …, 2024 - Wiley Online Library
Abstract Ensemble Kalman Filters (EnKFs), which assimilate observations based on
statistics derived from an ensemble of samples of ocean states, have become the norm for …
statistics derived from an ensemble of samples of ocean states, have become the norm for …
Ensemble optimal interpolation for adjoint-free biogeochemical data assimilation
JP Mattern, CA Edwards - PLoS One, 2023 - journals.plos.org
Advanced marine ecosystem models can contain more than 100 biogeochemical variables,
making data assimilation for these models a challenging prospect. Traditional variational …
making data assimilation for these models a challenging prospect. Traditional variational …
Assimilating water level observations with the ensemble optimal interpolation scheme into a rainfall‐runoff‐inundation model: A repository‐based dynamic covariance …
M Khaniya, Y Tachikawa… - Journal of Flood Risk …, 2024 - Wiley Online Library
Although conceptually attractive, the use of ensemble data assimilation methods, such as
the ensemble Kalman filter (EnKF), can be constrained by intensive computational …
the ensemble Kalman filter (EnKF), can be constrained by intensive computational …
Use of non-stationary covariance matrices for ensemble optimal interpolation implementation in a distributed hydrological model
M Khaniya, Y Tachikawa, T Sayama - Proceeding of Annual …, 2022 - jstage.jst.go.jp
The EnOI scheme, as presented by Evensen1), is based on the covariance matrix generated
from a stationary ensemble. However, different approaches of ensemble sampling exist in …
from a stationary ensemble. However, different approaches of ensemble sampling exist in …