APPROVAL OF THE OPERATIONAL DIAGNOSE AND FORECASTING SYSTEM OF HYDROMETEOROLOGICAL CHARACTERISTICS FOR CASPIAN SEA

http://doi.org/10.24057/2414-9179-2018-1-24-321-333

View or download the article (Rus)

About the Authors

Vladimir V. Fomin

State Oceanographic Institute (SOI),
Kropotkinsky Lane 6, 119034, Moscow, Rossia,
E-mail: vladimirfomin@live.com

Nikolay A. Diansky

State Oceanographic Institute (SOI),
Kropotkinsky Lane 6, 119034, Moscow, Rossia,

Lomonosov Moscow State University, Faculty of Physics,
Leninskie Gory, bldg 1, str. 2, 119991, Moscow, Russia.

The Institute of Numerical Mathematics of the Russian Academy of Sciences,
Gubkin str., 8, 119333, Moscow, Russia

E-mail: nikolay. diansky@gmail.com

Tatiana Yu. Vyruchalkina

Northern Water Problems Institute of Karelian Research Centre of the Russian Academy of Sciences,
Aleksander Nevsky str., 50, 185030, Petrozavodsk, Republic of Karelia, Russia,

E-mail: vyruchi@list.ru

Abstract

The development of the Marine and Atmospheric Research System (MARS) for simulation of the Caspian Sea hydrometeorological characteristics is presented. It includes computation of the atmospheric forcing with the regional non-hydrostatic atmosphere model Weather Research and Forecasting model (WRF), as well as computation of currents, sea level, temperature, salinity and sea ice with the model of marine circulation INMOM (Institute of Numerical Mathematics Ocean Model) and the computation of wind wave parameters using the Russian wind-wave model (RWWM). The results on verification of the hydrometeorological characteristics of diagnosis and forecast computations with MARS are presented. Verification of the regional nonhydrostatic atmospheric model WRF was performed using data from coastal weather stations. Based on the results of retrospective computations, the quality of calculated meteorological characteristics was estimated taking into account its synoptic and seasonal variability. It was shown that an increase in spatial resolution of WRF model leads to an improvement in the reproduction of meteorological characteristics. Based on the results of the forecast computations, the quality of calculated meteorological characteristics was estimated according to forecast time. The verification of the INMOM model was carried out according to data from hydrological stations and also based on the results of computations of interannual variability of sea level. It is shown that changes made in MARS lead to a quality improvement in computation results. Thus, new version of MARS allows to reproduce seasonal and interannual changes of the Caspian sea level and can be used both for diagnoze and forecast computations of hydrological and meteorological characteristics.

Keywords

Caspian Sea, ocean circulation, operational modeling, numerical methods.

References

  1. Brydon D., San S., Bleck R. A new approximation of the equation of state for seawater, suitable for numerical ocean models. J. Geoph. Res. 1999. V. 104. No C1. P. 1537–1540.
  2. Diansky N.A. Modelling of ocean circulation and investigation of its response to short- and long-period atmospheric forcing. M.: PhysMathLit, 2013. 272 p. (in Russian).
  3. Diansky N.A., Fomin V.V., Vyruchalkina T.Y. Modeling of the Caspian sea circulation using marine and atmospheric calculations of system MARS. Trudy gosudarstvennogo okeanograficheskogo institute. 2016. No 217. P. 50–76 (in Russian).
  4. Diansky N.A., Fomin V.V., Vyruchalkina T.Y., Gusev A.V. Numerical simulation of the Caspian sea circulation using the marine and atmospheric research system. Trudy Karelskogo nauch nauchnauchnogo centra Rossiiskoy akademii nauk. 2016. No 5. P. 21–34 (in Russian).
  5. Dyakonov G.S., Ibrayev R.A. Simulation of Interannual Variability of the Caspian Sea Level in a High Resolution Hydrodynamic Model. Оceanology. 2018. V. 58, No 1. P. 11–22 (in Russian).
  6. Griffies S.M., Winton M., Samuels B.L., 2004: The Large and Yeager (2004) dataset and CORE. NOAA Geophysical Fluid Dynamics Laboratory PO Box 308, Forrestal Campus Princeton, New Jersey, 08542 USA (Manuscript last edited 28 September 2004).
  7. Large W.G., Yeager S.G. The global climatology of an interannually varying air—sea flux. Climate Dynamics. 2009. V. 33. P. 341–364.
  8. Pacanowski R.C., Philander S.G.H. Parametrization of vertical mixing in numerical models of the tropical ocean. J. Phys. Oceanogr. 1981. V. 11. P. 1443–1451.
  9. Popov S.K., Batov V.V., Elisov V.V., Lobov A.L. Advanced technology for forecasting currents and the sea level of the Caspian Sea. Scientific and technical journal environmental protection in the oil and gas complex. 2013. No 5. P. 53–59 (in Russian).
  10. Popov S.K., Lobov A.L. Diagnosis and forecast of the level of the Caspian Sea in the operational hydrodynamic model. Meteorology and Hydrology. 2017. 9. P. 90–99 (in Russian).
  11. Popov S.K., Lobov A.L. Modelling of spatial and temporal variability of the Caspian Sea level 1948–1994. Proceedings of the Hydrometeorological Center of Russia. 2013. No 350. P. 68–87 (in Russian).
  12. Skamarock A. Description of the Advanced Research WRF, Version 3. NCAR Technical Notes, 2008.
  13. Zalesny V.В., Diansky N.А., Fomin V.V., Moshonкin S.N., Demyshev S.G. Numerical model of the circulation ofthe Black Sea and the Sea of Azov // Russian Journal of Numerical Analysis and Mathematical Modelling. 2012. V. 27, No 1. P. 95–111.
  14. Zyryanov V.N. Hydrodynamic basis of formation of large-scale water circulation in the Caspian Sea: 1. Asymptotic theory. Water Resources. 2015. V. 42. No 6. P. 294–304.
  15. Zyryanov V.N. Hydrodynamic basis of formation of large-scale water circulation in the Caspian Sea: 2. Numerical simulation. Water Resources. 2016. V. 43, No 2. P. 292–305.

For citation: Fomin V.V., Diansky N.A., Vyruchalkina T.Yu. APPROVAL OF THE OPERATIONAL DIAGNOSE AND FORECASTING SYSTEM OF HYDROMETEOROLOGICAL CHARACTERISTICS FOR CASPIAN SEA Proceedings of the International conference “InterCarto. InterGIS”. 2018;24(1):321–333 http://doi.org/10.24057/2414-9179-2018-1-24-321-333