The provision of mineral resources mining, transport operations, design institutes and insurance companies with meteorological and oceanography data is an important task, so as probable magnitudes of most important environmental elements, estimated on the basis of extreme values theory, determine both the economical profit of the activities and the human safety and environmental protection.

INFOMAR specialists have developed the special automated technology for extreme environmental condition computation including hydrodynamic and probabilistic modelling. For offshore areas, for example, on the basis of historical information and observation series analysis for the region of interest, extreme storm cases with corresponding weather maps are selected. Then fields of earth-surface level winds and atmospheric pressure gradients are produced. This information is required for the hydrodynamic computation of storms and total sea level oscillations and currents by verified 2D and 3D hydrodynamic models. Baroclinic models are also actively used. By produced probabilistic models, which are based on Gumbel's low and Langbein's relationship, the results of numerical modelling are processed and long-return period characteristics of sea level, currents at different horizons as well as characteristics of waves are determined. This complex of models and methods is successfully implemented for research and survey for a number of project design objects in different regions including the Barents, Kara, Baltic, Caspian, Okhotsk Seas.

The items listed below have been identified as the key data and parameters required for the design of onshore and offshore facilities as well as pipelines, for example. The other sets of Metocean parameters can be estimated in accordance with contractual requirements if customer is under regulation of Canadian, US, Norwegian or Russian Standards (CSA, API, DNV, SNIP). INFOMAR has rich experience on performance of appropriate projects and customer support for state expertise procedures executing.

LISTING OF METOCEAN DATA / PARAMETERS

1. Meteorology

1.1.   Air temperature, °C
• Estimated air temperature of the coldest five-day period. 
• Average air temperature of the coldest days. 
• Absolute minimum air temperature. 
• Absolute maximum air temperature.

1.2.   Air Humidity
• Average annual air humidity. 
• Air humidity. of the coldest month. 
• Air humidity. of the warmest month.

1.3.   Operational Wind Statistics
• Wind recurrence with respect to velocity intervals and directions, by months, in ice and ice-free periods, for the entire year. 
• The number of days a year with wind speeds of 4, 8, 10, 12, and 15 m/sec. 
• Average and maximum duration of wind conditions by speed intervals. 
• A vertical wind speed profile for a layer of up to 100 m high.

1.4.   Wind Extreme Statistical Characteristics
• Wind speed with 1, 5, 10, 25, 50 and 100-year return periods and averaging intervals of 10 min at a height of 10 m. 
• Wind gust speed of 1, 5, 10, 25, 50 and 100-year return periods measured at a height of 10 m with averaging intervals 3-5 sec.

1.5.   Duration and dates of navigation period, by month
• Maximum duration. 
• Minimum duration. 
• Average duration.

1.6.   Precipitation
• Distribution of precipitation by months. 
• Average monthly and extreme values of snow cover thickness.

1.7.   Visibility
• Number of days with fog estimated by months and by fog duration, in hours.

1.8.   Icing
• Frequency of icing. 
• Number of days with icing. 
• Amount of ice per 1 sq. m of horizontal surface. 
• Amount of ice per 1 sq. m of vertical surface. 
• Thickness of the glaze ice wall versus its height above the sea level .

2.   Oceanography

2.1.   Water Temperature
• Water temperature by seasons (by horizons, including bottom one). 
• Absolute maximum water temperature. 
• Absolute minimum water temperature.

2.2.   Seawater Salinity And Transparency (By Seasons)

2.3.   Sea Level Operational Statistics
• Tidal regime. 
• Observation analysis.

2.4.   Extreme Sea Level Characteristics
• Highest and lowest astronomical tides relative to the mean sea level. 
• Extreme positive and negative surges predicted to occur once in 5, 10, 25, 50 and 100-years. 
• Estimated minimum and maximum sea level values relative to the mean sea level, predicted to occur once in 5, 10, 25, 50 and 100 -years. 
• Seasonal sea level variations. 
• Recommended estimated maximum sea level at the storm of 100-year return period and wave height probability of 0.1%.

2.5.   Sea Currents Operational Statistics
• Recurrence of velocities and directions of the total sea currents at no less than three horizons, obtained from the observation data. 
• A general scheme of sea currents in the operation area with details by seasons at not less than three horizons; a detailed scheme for the surface horizon based on typical wind conditions.

2.6.   Characteristics Of Maximum Sea Current Velocities
• Estimated maximum velocities of total sea currents with an indication of direction, predicted to occur once in 5, 10, 25, 50 and 100-year periods at no less than three horizons, including the near-bottom one. 
• Maximum tidal currents velocities at the indicated horizons.

2.7.   Wave Operational Statistics
• Wave probability (%) by months, and for entire year. 
• Duration of storms and weather windows for wave heights above and below the specified threshold. 
• Swell waves characteristics. 
• Wave spectral characteristics. 
• Orbital velocities.

2.8.   Wave Extreme Statistics
• Estimated wave parameters - average, 50%, 13%, 3%, 1%, and 0.1% probability, with "n"-year return period (n = 1, 5, 10, 25, 50 and 100 years). 
• Estimated periods and wave lengths corresponding to wave heights n year return period. 
• Exceedance of the wave crest of 0.1% probability with "n" year return period. 
• Hazardous wave directions, the most probable direction of maximum estimated waves.

2.9.   Combined extremes of the main hydrological parameters