Simulating large-scale circulation in seas and oceans

Zalesny, V. B.; Ivchenko, Vladimir

doi:10.1134/s0001433815030135

Cited by 4 publications

(1 citation statement)

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“…The efficiency of use of the above-described three-dimensional temperature and salinity arrays is estimated on the basis of their assimilation in the water circulation model. Currently, in the oceanology two approaches to the development and successful application of algorithms for the assimilation of available measurement data in the circulation models are the most promising: variational (4D-Var [18][19][20]) and Ensemble Kalman Filter approach. The latter is subdivided into an extended Ensemble Kalman Filter (EnKF [21,22]) and Ensemble Optimal Interpolation (EnOI [23]).…”

Section: Reanalysis Of the Sea Hydrophysical Fields Over 2012 By Assimilating Temperature And Salinity Pseudo-measurements In Mhi Modelmentioning

confidence: 99%

Modelling of Water Pollution Propagation in the Sevastopol Bay

Лишаев¹,

Knysh²,

Коротаев³

2019

PhO

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Using the original method consisting in the combined analysis of altimetry data and scanty measurements by the Argo buoys, three-dimensional fields of the temperature and salinity pseudomeasurements were previously reconstructed at the 63-500 m layer horizons, at that the areas to the right of the Rim Current and in the anticyclonic eddies up to the 125 m depth remained unfilled. Data and methods. The algorithm for restoring the unfilled areas by replenishing them with the seawater salinity and temperature values within the layer 2.5-125 m (using the altimetry and the Argo data for 2012 as an example) is proposed. The daily-average salinity (temperature) in the 2.5-125 m layer was reconstructed by correcting the model-predicted salinity (temperature) through the weighted data of its deviations from the pseudo-measurements carried out on the underlying baseline. 150 m horizon was assumed to be the main baseline for which pseudo-measurements are available on the entire horizon of the sea. The weighting factors are determined by the salinity (temperature) covariance functions of the baseline with the model salinity (temperature) on the overlying horizons. The iterative procedure was used to reconstruct the salinity and temperature pseudo-measurements. Results. Comparison of the root-mean-square deviations of the reconstructed salinity fields from the measured ones and its variability showed that in the halocline on the 88 m horizon, its variability was 1.9 times higher than the salinity deviations. Variability of the measured temperature on the 88 m horizon was 1.5 times higher than the deviations of the reconstructed temperature fields. The reconstructed fields of the salinity (temperature) pseudo-measurements were assimilated in the model of the Marine Hydrophysical Institute (MHI) by the adaptive statistic method for reanalysis of the Black Sea fields for 2012. The temperature and salinity fields reconstructed in reanalysis were validated. The cold intermediate layer (CIL) is well reproduced; its temperature is slightly understated. The satellite measurements of the sea surface temperature should be necessarily assimilated in the circulation model. The sea level in the deep-water area reconstructed in reanalysis was quite close to the altimetry one. Discussion and conclusion. Three-dimensional fields of temperature and salinity in the main pycnocline are reconstructed with sufficiently high accuracy in the deep-water part of the Black Sea. The seawater temperature in the surface layer 0-40 m cannot be reconstructed with acceptable accuracy. The approaches proposed in the previous studies and in the present paper can be effective for the other marine areas like the marginal seas of the oceanic type and the oceanic eddies, where relatively homogeneous water masses are observed.

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