Implementing a variational data assimilation system in an operational 1/4 degree global ocean model

J Waters, DJ Lea, MJ Martin, I Mirouze… - Quarterly Journal of …, 2015 - Wiley Online Library
This article describes the implementation of an incremental first guess at an appropriate time
three‐dimensional variational (3 DVAR) data assimilation scheme, NEMOVAR, in the Met …

The new eddy-permitting ORAP5 ocean reanalysis: description, evaluation and uncertainties in climate signals

H Zuo, MA Balmaseda, K Mogensen - Climate Dynamics, 2017 - Springer
A new eddy-permitting ocean reanalysis has been recently completed at ECMWF. It is called
Ocean ReAnalysis Pilot 5 (ORAP5), and it spans the period 1979–2012. This work describes …

An historical analysis of the California Current circulation using ROMS 4D-Var: System configuration and diagnostics

E Neveu, AM Moore, CA Edwards, J Fiechter, P Drake… - Ocean Modelling, 2016 - Elsevier
Abstract The Regional Ocean Modeling System (ROMS) 4-dimensional variational (4D-Var)
data assimilation tool has been used to compute two sequences of circulation analyses for …

A data-assimilative model reanalysis of the US Mid Atlantic Bight and Gulf of Maine: Configuration and comparison to observations and global ocean models

J Wilkin, J Levin, A Moore, H Arango, A López… - Progress in …, 2022 - Elsevier
Abstract A 15-year reanalysis (2007–2021) of circulation in the coastal ocean and adjacent
deep sea of the northeast US continental shelf is described. The analysis uses the Regional …

An ensemble of eddy-permitting global ocean reanalyses from the MyOcean project

S Masina, A Storto, N Ferry, M Valdivieso, K Haines… - Climate Dynamics, 2017 - Springer
A set of four eddy-permitting global ocean reanalyses produced in the framework of the
MyOcean project have been compared over the altimetry period 1993–2011. The main …

4DEnVar: link with 4D state formulation of variational assimilation and different possible implementations

G Desroziers, JT Camino, L Berre - Quarterly Journal of the …, 2014 - Wiley Online Library
The four‐dimensional ensemble variational (4DEnVar) formulation is receiving increasing
interest, especially in numerical weather prediction centres, which until now have mostly …

Optimal reduced space for variational data assimilation

R Arcucci, L Mottet, C Pain, YK Guo - Journal of Computational Physics, 2019 - Elsevier
Data Assimilation (DA) is an uncertainty quantification technique used to incorporate
observed data into a prediction model in order to improve numerical forecasted results …

4D-Var data assimilation and observation impact on surface transport of HF-Radar derived surface currents in the North-Western Mediterranean Sea

M Bendoni, AM Moore, A Molcard, MG Magaldi… - Ocean Modelling, 2023 - Elsevier
We investigated the effect of the assimilation of surface velocities from two HF-Radars
(HFRs) and satellite sea surface temperature (SST) into an ocean circulation model …

Impact of correlated observation errors on the conditioning of variational data assimilation problems

O Goux, S Gürol, AT Weaver… - … Linear Algebra with …, 2024 - Wiley Online Library
An important class of nonlinear weighted least‐squares problems arises from the
assimilation of observations in atmospheric and ocean models. In variational data …

Improving sea surface temperature in a regional ocean model through refined sea surface temperature assimilation

SC Iversen, AK Sperrevik, O Goux - Ocean Science, 2023 - os.copernicus.org
Infrared (IR) and passive microwave (PMW) satellite sea surface temperature (SST)
retrievals are valuable to assimilate into high-resolution regional ocean forecast models …