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    Impact of Atmospheric and Model Physics Perturbations On a High-Resolution Ensemble Data Assimilation System of the Red Sea

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    2019JC015611.pdf
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    Type
    Article
    Authors
    Sanikommu, Siva Reddy cc
    Toye, Habib cc
    Zhan, Peng cc
    Langodan, Sabique cc
    Krokos, Georgios cc
    Knio, Omar cc
    Hoteit, Ibrahim cc
    KAUST Department
    Applied Mathematics and Computational Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Earth Fluid Modeling and Prediction Group
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2020-08-19
    Preprint Posting Date
    2020-02-05
    Online Publication Date
    2020-08-19
    Print Publication Date
    2020-08
    Submitted Date
    2019-09-04
    Permanent link to this record
    http://hdl.handle.net/10754/664239
    
    Metadata
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    Abstract
    The Ensemble Adjustment Kalman Filter (EAKF) of the Data Assimilation Research Testbed (DART) is implemented to assimilate observations of satellite sea surface temperature, altimeter sea surface height and in situ ocean temperature and salinity profiles into an eddy-resolving 4 km Massachusetts Institute of Technology general circulation model (MITgcm) of the Red Sea. We investigate the impact of three different ensemble generation strategies (1) Iexp – uses ensemble of ocean states to initialize the model on 1st January, 2011 and inflates filter error covariance by 10%, (2) IAexp – adds ensemble of atmospheric forcing to Iexp , and (3) IAPexp – adds perturbed model physics to IAexp . The assimilation experiments are run for one year, starting from the same initial ensemble and assimilating data every three days. Results demonstrate that the Iexp mainly improved the model outputs with respect to assimilation-free MITgcm run in the first few months, before showing signs of dynamical imbalances in the ocean estimates, particularly in the data-sparse subsurface layers. The IAexp yielded substantial improvements throughout the assimilation period with almost no signs of imbalances, including the subsurface layers. It further well preserved the model mesoscale features resulting in an improved forecasts for eddies, both in terms of intensity and location. Perturbing model physics in IAPexp slightly improved the forecast statistics and also the placement of basin-scale eddies. Increasing hydrographic coverage further improved the results of IAPexp compared to IAexp in the subsurface layers. Switching off multiplicative inflation in IAexp and IAPexp leads to further improvements, especially in the subsurface layers.
    Citation
    Sanikommu, S., Toye, H., Zhan, P., Langodan, S., Krokos, G., Knio, O., & Hoteit, I. (2020). Impact of Atmospheric and Model Physics Perturbations On a High-Resolution Ensemble Data Assimilation System of the Red Sea. Journal of Geophysical Research: Oceans. doi:10.1029/2019jc015611
    Publisher
    American Geophysical Union (AGU)
    Journal
    Journal of Geophysical Research: Oceans
    DOI
    10.1029/2019jc015611
    arXiv
    2002.01825
    Additional Links
    https://onlinelibrary.wiley.com/doi/abs/10.1029/2019JC015611
    ae974a485f413a2113503eed53cd6c53
    10.1029/2019jc015611
    Scopus Count
    Collections
    Articles; Applied Mathematics and Computational Science Program; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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