Synthesis of ocean observations using data assimilation for operational, real-time and reanalysis systems: A more complete picture of the state of the ocean

AM Moore, MJ Martin, S Akella, HG Arango… - Frontiers in Marine …, 2019 - frontiersin.org
Ocean data assimilation is increasingly recognized as crucial for the accuracy of real-time
ocean prediction systems and historical re-analyses. The current status of ocean data …

Last Millennium Reanalysis with an expanded proxy database and seasonal proxy modeling

R Tardif, GJ Hakim, WA Perkins, KA Horlick… - Climate of the …, 2019 - cp.copernicus.org
The Last Millennium Reanalysis (LMR) utilizes an ensemble methodology to assimilate
paleoclimate data for the production of annually resolved climate field reconstructions of the …

[HTML][HTML] Next generation of Bluelink ocean reanalysis with multiscale data assimilation: BRAN2020

MA Chamberlain, PR Oke, RAS Fiedler… - Earth System …, 2021 - essd.copernicus.org
BRAN2020 (2020 version of the Bluelink ReANalysis) is an ocean reanalysis that combines
observations with an eddy-resolving, near-global ocean general circulation model to …

The Bluelink ocean data assimilation system (BODAS)

PR Oke, GB Brassington, DA Griffin, A Schiller - Ocean modelling, 2008 - Elsevier
Bluelink is Australia's contribution to the Global Ocean Data Assimilation Experiment
(GODAE). The goals of GODAE include the development and application of eddy-resolving …

A deterministic formulation of the ensemble Kalman filter: an alternative to ensemble square root filters

P Sakov, PR Oke - Tellus A: Dynamic Meteorology and …, 2008 - Taylor & Francis
The use of perturbed observations in the traditional ensemble Kalman filter (EnKF) results in
a suboptimal filter behaviour, particularly for small ensembles. In this work, we propose a …

Localization and sampling error correction in ensemble Kalman filter data assimilation

JL Anderson - Monthly Weather Review, 2012 - journals.ametsoc.org
Ensemble Kalman filters use the sample covariance of an observation and a model state
variable to update a prior estimate of the state variable. The sample covariance can be …

Relation between two common localisation methods for the EnKF

P Sakov, L Bertino - Computational Geosciences, 2011 - Springer
This study investigates the relation between two common localisation methods in ensemble
Kalman filter (EnKF) systems: covariance localisation and local analysis. Both methods are …

Towards a dynamically balanced eddy-resolving ocean reanalysis: BRAN3

PR Oke, P Sakov, ML Cahill, JR Dunn, R Fiedler… - Ocean Modelling, 2013 - Elsevier
The generation and evolution of eddies in the ocean are largely due to instabilities that are
unpredictable, even on short time-scales. As a result, eddy-resolving ocean reanalyses …

Assimilation of point SWE data into a distributed snow cover model comparing two contrasting methods

J Magnusson, D Gustafsson, F Hüsler… - Water resources …, 2014 - Wiley Online Library
In alpine and high‐latitude regions, water resource decision making often requires large‐
scale estimates of snow amounts and melt rates. Such estimates are available through …

Planetary gyre, time‐dependent eddies, torsional waves, and equatorial jets at the Earth's core surface

N Gillet, D Jault, CC Finlay - Journal of Geophysical Research …, 2015 - Wiley Online Library
We report a calculation of time‐dependent quasi‐geostrophic core flows for 1940–2010.
Inverting recursively for an ensemble of solutions, we evaluate the main source of …