Structure of fields of oceanological quantities in the Kamyshovaya bay (Crimea) in November 2019

P.D. Lomakin2,1, A.I. Chepyzhenko2, Е. Grebneva1

1Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28

2Marine Hydrophysical Institute of RAS, RF, Sevastopol, Kapitanskaya St., 2

Email: p_lomakin@mail.ru

DOI: 10.33075/2220-5861-2020-2-29-35

Read moreStructure of fields of oceanological quantities in the Kamyshovaya bay (Crimea) in November 2019

Quasi-periodic vari-ability of total and intense cyclonic activity in the Вlack Sea region in 1951–2017

V.N. Maslova, E.N. Voskresenskaya, A.V. Yurovsky

 Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28

E-mail: veronika_maslova@mail.ru

DOI: 10.33075/2220-5861-2020-2-19-28

Read moreQuasi-periodic vari-ability of total and intense cyclonic activity in the Вlack Sea region in 1951–2017

Identification of formation mechanisms of Indian Ocean dipole

A.B. Polonsky, A.V. Torbinskii A.V., A.V. Gubarev

 Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28

E-mail: apolonsky5@mail.ru

DOI: 10.33075/2220-5861-2020-2-13-18

Read moreIdentification of formation mechanisms of Indian Ocean dipole

Development of methodological support of environmental monitoring of ground waters of the Sevastopol region

G.A.  Sigora, T.Yu. Khomenko, L.A. Nichkova

 Sevastopol State University, RF, Sevastopol, Universitetskaya St., 33

Email: tamara_homenko93@mail.ru

DOI: 10.33075/2220-5861-2020-2-5-12

Read moreDevelopment of methodological support of environmental monitoring of ground waters of the Sevastopol region

On a space-time variability and trends of wind stress curl over the Black Sea

E.A. Averyanova, A.V. Gubarev, A.B. Polonsky

Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28

E-mail: eisal@mail.ru, alexgub@inbox.ru, apolonsky5@mail.ru

DOI: 10.33075/2220-5861-2020-1-27-36

Read moreOn a space-time variability and trends of wind stress curl over the Black Sea

Methodological aspects of natural territories zoning using machine learning

D.O. Krivoguz, R.V. Borovskaya

Azov Sea Research Fisheries Institute (FSBSI “AzNIIRKH”), Kerch, Sverdlova St., 2

E-mail: krivoguz_d_o@azniirkh.ru

DOI: 10.33075/2220-5861-2020-1-14-20

Read moreMethodological aspects of natural territories zoning using machine learning

Wide spectral analysis of natural processes

V.A. Gaisky, P.V. Gaisky

Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28

DOI: 10.33075/2220-5861-2020-1-05-13

Read moreWide spectral analysis of natural processes

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