Evolution of the pollution in the Sea of Azov by satellite data and simulation results
    
    
  
  
  
      
      
      
        
Vestnik Udmurtskogo universiteta. Matematika, mehanika, kompʹûternye nauki, Tome 27 (2017) no. 3, pp. 450-459
    
  
  
  
  
  
    
      
      
        
      
      
      
    Voir la notice de l'article provenant de la source Math-Net.Ru
            
              			Methods of sharing information obtained by methods of remote sensing of the sea surface from space and numerical solutions are discussed  in this paper. The results of numerical modeling and data of satellite observations on the state of the waters of the Sea of Azov for the period
2013–2014 are summarized on the basis of developed algorithms. Three-dimensional hydrodynamic modeling of water dynamics and evolution of contaminants in the Sea of Azov is performed using the model of POM (Princeton Ocean Model) with a real atmospheric forcing SKIRON. The joint analysis of numerical solutions and data of space monitoring Aqua (MODIS) allows to study the features of the spatial and temporal distribution of pollution in the Sea of Azov. New model algorithms are used to analyze the consistency of the results of numerical solutions, satellite observation data and their combination. The dynamic-stochastic method of assimilating satellite information is used, which makes it possible to obtain an estimate of the quality of the model prediction depending on the intervals between the assimilation of satellite data.
			
            
            
            
          
        
      
                  
                    
                    
                    
                    
                    
                      
Keywords: 
Sea of Azov, remote observations, numerical modeling, Kalman filter.
Mots-clés : evolution of passive admixture, assimilation of satellite data
                    
                  
                
                
                Mots-clés : evolution of passive admixture, assimilation of satellite data
@article{VUU_2017_27_3_a11,
     author = {T. Ya. Shul'ga},
     title = {Evolution of the pollution in the {Sea} of {Azov} by satellite data and simulation results},
     journal = {Vestnik Udmurtskogo universiteta. Matematika, mehanika, kompʹ\^uternye nauki},
     pages = {450--459},
     publisher = {mathdoc},
     volume = {27},
     number = {3},
     year = {2017},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VUU_2017_27_3_a11/}
}
                      
                      
                    TY - JOUR AU - T. Ya. Shul'ga TI - Evolution of the pollution in the Sea of Azov by satellite data and simulation results JO - Vestnik Udmurtskogo universiteta. Matematika, mehanika, kompʹûternye nauki PY - 2017 SP - 450 EP - 459 VL - 27 IS - 3 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/VUU_2017_27_3_a11/ LA - ru ID - VUU_2017_27_3_a11 ER -
%0 Journal Article %A T. Ya. Shul'ga %T Evolution of the pollution in the Sea of Azov by satellite data and simulation results %J Vestnik Udmurtskogo universiteta. Matematika, mehanika, kompʹûternye nauki %D 2017 %P 450-459 %V 27 %N 3 %I mathdoc %U http://geodesic.mathdoc.fr/item/VUU_2017_27_3_a11/ %G ru %F VUU_2017_27_3_a11
T. Ya. Shul'ga. Evolution of the pollution in the Sea of Azov by satellite data and simulation results. Vestnik Udmurtskogo universiteta. Matematika, mehanika, kompʹûternye nauki, Tome 27 (2017) no. 3, pp. 450-459. http://geodesic.mathdoc.fr/item/VUU_2017_27_3_a11/
