Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Synthesis of ocean observations using data assimilation for operational, real-time and reanalysis systems: A more complete picture of the state of the ocean
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 …
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
The Last Millennium Reanalysis (LMR) utilizes an ensemble methodology to assimilate
paleoclimate data for the production of annually resolved climate field reconstructions of the …
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 …
observations with an eddy-resolving, near-global ocean general circulation model to …
The Bluelink ocean data assimilation system (BODAS)
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 …
(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
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 …
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 …
variable to update a prior estimate of the state variable. The sample covariance can be …
Relation between two common localisation methods for the EnKF
This study investigates the relation between two common localisation methods in ensemble
Kalman filter (EnKF) systems: covariance localisation and local analysis. Both methods are …
Kalman filter (EnKF) systems: covariance localisation and local analysis. Both methods are …
Towards a dynamically balanced eddy-resolving ocean reanalysis: BRAN3
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 …
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 …
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
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 …
Inverting recursively for an ensemble of solutions, we evaluate the main source of …