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Papers by Konstantin Korotenko
Izvestiya, Atmospheric and Oceanic Physics, 2019
A high-frequency (1.2 MHz) four-beam Acoustic Doppler Current Profiler moored on the seabed has b... more A high-frequency (1.2 MHz) four-beam Acoustic Doppler Current Profiler moored on the seabed has been used for direct turbulence measurements in a tidal channel. Five tidal cycles covering calm and storm periods are selected from the measurements. The effect of the tidal cycle asymmetry and the wind forcing variability on the turbulence intensity, Reynolds stresses, and the current energy characteristics is estimated. It is shown that the power density of the tidal flow is twice as low during the storm period than during the calm period. Wave filtering in calculating Reynolds stresses made it possible to estimate the contribution of small-scale turbulence to its intensity.
Brief History of the Community Ocean Modeling System (COMS)
Tidal Circulation and Stream Resources in the Taiwan Strait
Oceanology, Jul 1, 2018
The paper analyzes the available parametrizations for calculating oil dispersion in water. A new ... more The paper analyzes the available parametrizations for calculating oil dispersion in water. A new parametrization of oil droplet flux into water has been elaborated based on a number of recent experimental studies on wind waves and oil droplet dispersion during wave breaking. The turnover rate (TOR) of the sea surface is proposed to determine the primary flux of oil droplets into water. The parameter of lognormal distribution (median) of oil droplets is calculated versus their sizes in a wide range of oil density, viscosity, interfacial tension, and wind speed.
Oceanology, Nov 1, 2018
The paper proposes a new parameterization of natural dispersion of a marine oil spill due to wind... more The paper proposes a new parameterization of natural dispersion of a marine oil spill due to windwave breakup of the oil slick and penetration of oil droplets into the water. The quantity of oil returning to the surface due to positive buoyancy in the time between wind wave overturns is estimated. The role of vertical turbulent exchange as a factor limiting oil droplet flux from the sea surface into the water column is discussed.
Моделирование разливов нефти в море для планирования мероприятий по обеспечению экологической безопасности при реализации нефтегазовых проектов. Часть 2. Особенности реализации прикладных задач
Проблемы Арктики и Антарктики, Mar 30, 2016
Some Basic Physical, Mathematical and Modeling Concepts
The 2010 Deep Water Horizon and 2002 Supertanker Prestige Accidents
Феноменологическая модель диспергирования нефтяного разлива в море и параметризации некоторых процессов
Okeanologiya, 2018
Geophysical Fluid Dynamics and Modeling Challenges
Modeling the 2010 DWH Oil Spill 5.1 Introduction: the BP/Deepwater Horizon Accident Th e Deepwate... more Modeling the 2010 DWH Oil Spill 5.1 Introduction: the BP/Deepwater Horizon Accident Th e Deepwater Horizon (DWH) oil platform was situated about 80 km southeast of the Mississippi River delta in the Mississippi Canyon Macondo Block 252 (Figure 5.1). On 20 April 2010, the Macondo oil well experienced a massive blowout, causing the explosion and collapse of the DWH. Th e explosion and subsequent sinking of the rig on 22 April began what has become the largest off shore oil spill in U.S. history. Large amounts of crude oil and gas gushed from a well blowout at the ocean bottom (~1500 m depth) into the Gulf of Mexico (GoM) for nearly 3 months. For this period, approximately 4.9 million barrels (~668360 metric tones) of oil from the Macondo well [1] to which BP added 1.84 million gallons (~5980 metric tones) of dispersants have been released into the Gulf.
О роли ветрового волнения в процессе диспергирования нефтяного разлива в море
Okeanologiya, 2018
Appendix II: A Model Study of Ventilation of the Mississippi Bight by Baroclinic Eddies: Local Instability and Remote Loop Current Effects
On the Simulation of Density Currents by z-Level Models
John Wiley & Sons, Inc. eBooks, Sep 19, 2014
Initialization and Data Assimilation; MAM Procedure
Extreme Events and Oil Rig Stability
John Wiley & Sons, Inc. eBooks, Sep 19, 2014
Th e ocean response to hurricane-strength winds is important because the surface currents generat... more Th e ocean response to hurricane-strength winds is important because the surface currents generated near the eye-wall of a storm may be fast enough to destroy oil rigs. An example was Hurricane Katrina which damaged or destroyed thirty oil platforms and caused the closure of nine refi neries 1 . Katrina was one of the fi ve deadliest hurricanes in US history causing at least 1833 fatalities. It made (a second) landfall in southeastern Louisiana on August 29 th , 2005. Much of the damage to New Orleans was caused by the large storm surges which destroyed and damaged many levees surrounding the city 2 . Katrina's powerful eye wall winds caused intense vertical mixing, upwelling and latent heat fl uxes.Katrina's intensity increased as it swept across the Gulf, encountering a large Loop Current eddy, which provided an additional source of heat energy. Th e ensuing changes in the upper water column temperature structure may have infl uenced the fate and properties of Hurricane Rita which followed a very similar path just three weeks later. Hurricane Rita was the fourth-most intense Atlantic hurricane ever recorded and the most intense tropical cyclone ever observed in the Gulf of Mexico. It made landfall in Sabine, Texas on September 24 th , 2005 and led to much damage and 120 reported deaths 3 . Sheng et al. [2] modeled the oceanographic response to Hurricane Juan.
Influence of bottom topography on dynamics of river plumes in semi-enclosed domains: Case study in Taiwan Strait
A Five-Century Gulf Simulation Using DieCAST
Modeling Gulf of Mexico Circulation and Oil Dispersal, 2014
Izvestiya, Atmospheric and Oceanic Physics, 2019
A high-frequency (1.2 MHz) four-beam Acoustic Doppler Current Profiler moored on the seabed has b... more A high-frequency (1.2 MHz) four-beam Acoustic Doppler Current Profiler moored on the seabed has been used for direct turbulence measurements in a tidal channel. Five tidal cycles covering calm and storm periods are selected from the measurements. The effect of the tidal cycle asymmetry and the wind forcing variability on the turbulence intensity, Reynolds stresses, and the current energy characteristics is estimated. It is shown that the power density of the tidal flow is twice as low during the storm period than during the calm period. Wave filtering in calculating Reynolds stresses made it possible to estimate the contribution of small-scale turbulence to its intensity.
Brief History of the Community Ocean Modeling System (COMS)
Tidal Circulation and Stream Resources in the Taiwan Strait
Oceanology, Jul 1, 2018
The paper analyzes the available parametrizations for calculating oil dispersion in water. A new ... more The paper analyzes the available parametrizations for calculating oil dispersion in water. A new parametrization of oil droplet flux into water has been elaborated based on a number of recent experimental studies on wind waves and oil droplet dispersion during wave breaking. The turnover rate (TOR) of the sea surface is proposed to determine the primary flux of oil droplets into water. The parameter of lognormal distribution (median) of oil droplets is calculated versus their sizes in a wide range of oil density, viscosity, interfacial tension, and wind speed.
Oceanology, Nov 1, 2018
The paper proposes a new parameterization of natural dispersion of a marine oil spill due to wind... more The paper proposes a new parameterization of natural dispersion of a marine oil spill due to windwave breakup of the oil slick and penetration of oil droplets into the water. The quantity of oil returning to the surface due to positive buoyancy in the time between wind wave overturns is estimated. The role of vertical turbulent exchange as a factor limiting oil droplet flux from the sea surface into the water column is discussed.
Моделирование разливов нефти в море для планирования мероприятий по обеспечению экологической безопасности при реализации нефтегазовых проектов. Часть 2. Особенности реализации прикладных задач
Проблемы Арктики и Антарктики, Mar 30, 2016
Some Basic Physical, Mathematical and Modeling Concepts
The 2010 Deep Water Horizon and 2002 Supertanker Prestige Accidents
Феноменологическая модель диспергирования нефтяного разлива в море и параметризации некоторых процессов
Okeanologiya, 2018
Geophysical Fluid Dynamics and Modeling Challenges
Modeling the 2010 DWH Oil Spill 5.1 Introduction: the BP/Deepwater Horizon Accident Th e Deepwate... more Modeling the 2010 DWH Oil Spill 5.1 Introduction: the BP/Deepwater Horizon Accident Th e Deepwater Horizon (DWH) oil platform was situated about 80 km southeast of the Mississippi River delta in the Mississippi Canyon Macondo Block 252 (Figure 5.1). On 20 April 2010, the Macondo oil well experienced a massive blowout, causing the explosion and collapse of the DWH. Th e explosion and subsequent sinking of the rig on 22 April began what has become the largest off shore oil spill in U.S. history. Large amounts of crude oil and gas gushed from a well blowout at the ocean bottom (~1500 m depth) into the Gulf of Mexico (GoM) for nearly 3 months. For this period, approximately 4.9 million barrels (~668360 metric tones) of oil from the Macondo well [1] to which BP added 1.84 million gallons (~5980 metric tones) of dispersants have been released into the Gulf.
О роли ветрового волнения в процессе диспергирования нефтяного разлива в море
Okeanologiya, 2018
Appendix II: A Model Study of Ventilation of the Mississippi Bight by Baroclinic Eddies: Local Instability and Remote Loop Current Effects
On the Simulation of Density Currents by z-Level Models
John Wiley & Sons, Inc. eBooks, Sep 19, 2014
Initialization and Data Assimilation; MAM Procedure
Extreme Events and Oil Rig Stability
John Wiley & Sons, Inc. eBooks, Sep 19, 2014
Th e ocean response to hurricane-strength winds is important because the surface currents generat... more Th e ocean response to hurricane-strength winds is important because the surface currents generated near the eye-wall of a storm may be fast enough to destroy oil rigs. An example was Hurricane Katrina which damaged or destroyed thirty oil platforms and caused the closure of nine refi neries 1 . Katrina was one of the fi ve deadliest hurricanes in US history causing at least 1833 fatalities. It made (a second) landfall in southeastern Louisiana on August 29 th , 2005. Much of the damage to New Orleans was caused by the large storm surges which destroyed and damaged many levees surrounding the city 2 . Katrina's powerful eye wall winds caused intense vertical mixing, upwelling and latent heat fl uxes.Katrina's intensity increased as it swept across the Gulf, encountering a large Loop Current eddy, which provided an additional source of heat energy. Th e ensuing changes in the upper water column temperature structure may have infl uenced the fate and properties of Hurricane Rita which followed a very similar path just three weeks later. Hurricane Rita was the fourth-most intense Atlantic hurricane ever recorded and the most intense tropical cyclone ever observed in the Gulf of Mexico. It made landfall in Sabine, Texas on September 24 th , 2005 and led to much damage and 120 reported deaths 3 . Sheng et al. [2] modeled the oceanographic response to Hurricane Juan.
Influence of bottom topography on dynamics of river plumes in semi-enclosed domains: Case study in Taiwan Strait
A Five-Century Gulf Simulation Using DieCAST
Modeling Gulf of Mexico Circulation and Oil Dispersal, 2014