Reanalysis data of wind fields above the caspian sea for Calculation of wind-induced waves

Cover Page

Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription or Fee Access

Abstract

A database covering at least 30 years is required for calculation of the wind-induced waves mode in accordance with recommendations of the World Meteorological Organization. Continuous measurements of wind-induced waves for this period of time are missing or available only for a limited number of offshore strips. Typically this information is a result of calculations based on numerical (spectral) hydrodynamic models of the wind-induced waves while input data is information regarding wind from reanalyzes. Reanalysis can be used for calculation of wind-induced waves without any preliminary processing but not for all offshore zones. The Caspian Sea is used as an example to demonstrate an approach to revision of the National Centers for Environmental Prediction/National Center for Atmospheric Research reanalysis data and study results are provided.

Full Text

Restricted Access

About the authors

L. I. Lopatoukhin

Saint-Petersburg State University; Saint-Petersburg State University of information technologies, mechanics and optics

Author for correspondence.
Email: leonid-lop@yandex.ru

Oceanography Department

Russian Federation, Saint-Petersburg

N. A. Yaitskaya

Southern Scientific Centre of the Russian Academy of Sciences; Sochi Research Centre of the Russian Academy of Sciences

Email: yaitskayan@gmail.com
Russian Federation, Rostov-on-Don; Sochi

References

  1. Бухановский А.В., Иванов С.В., Лопатухин Л.И. Подходы, опыт и некоторые результаты исследований волнового климата океанов и морей // Вестн. СПбГУ. Сер. 7. Геология. География. 2005. № 3. С. 62-74.
  2. Бухановский А.В., Лопатухин Л.И. Чернышева Е.С. Новое поколение справочников по режиму волнения морей // Науч.-техн. сб. Рос. морского регистра судоходства. 2011. Вып. 34. С. 50-65.
  3. Бухановский А.В., Лопатухин Л.И., Чернышева Е.С., Колесов А.М. Шторм на Черном море 11 ноября 2007 и статистики экстремальных штормов моря // Изв. РГО. 2009. Вып. 2. С. 71-84.
  4. Единая государственная система информации об обстановке в Мировом океане. http://portal.esimo.ru/portal (Дата обращения 26.06.2019).
  5. Лопатухин Л.И. Ветровое волнение. Учебное пособие. СПб.: Изд-во СПбГУ, 2012. 165 с.
  6. Лопатухин Л.И., Бухановский А.В., Зильберштейн О.И., Лобов А.Л., Чумаков М.М., Попов С.К. Инженерно-гидрометеорологические изыскания на трассе североевропейского газопровода // Тр. 7-й Междунар. конф. и выставки по освоению ресурсов нефти и газа Российской Арктики и континентального шельфа СНГ RAO/CIS Offshore. СПб., 2005. С. 333-337.
  7. Мирзоев Д.А., Зильберштейн О.И., Лопатухин Л.И., Миронов Е.У., Михайлов Н.Н. Концепция обеспечения специализированной гидрометеорологической информацией проектирования сооружений на шельфе арктических морей // Тр. Четвертой Междунар. конф. “Освоение шельфа арктических морей. RAO-99”. СПб., 1999. Ч. 1. С. 311-318.
  8. Расписание погоды. RP5. https://rp5.ru/Погода_в_мире (Дата обращения 26.06.2019).
  9. Kalnay E., Kanamitsu M., Kistler R., Collins W., Deaven D., Gandin L., Iredell M., Saha S., White G., Woollen J., Zhu Y., Chelliah M., Ebisuzaki W., Higgins W., Janowiak J., Mo K.C., Ropelewski C., Wang J., Leetmaa A., Reynolds R., Jenne R., Joseph D. The NCEP/NCAR 40-year reanalysis project // Bull. Am. Meteorol. Soc. 1996. V. 77. P. 437-470.
  10. Lin L., Resio D. Improving wind input information for Great Lakes wave hindcast study // Proc. 6th Int. Workshop on wave Hindcasting and Forecasting. 2000. P. 29-43.
  11. Lopatoukhin L.J., Boukhanovsky A.V., Chernysheva E.S., Ivanov S.V. Hindcasting of wind and wave climate of seas around Russia // Proc. 8th Int. Workshop on Wave Hindcasting and Forecasting. 2004.
  12. Research Data Achieve. Computational and Information Systems Lab. NCAR UCAR. http://rda.ucar.edu/ (Дата обращения 26.06.2019).

Supplementary files

Supplementary Files
Action
1. JATS XML
2. Fig. 1. Urgent values (every 6 hours) of the wind speed module according to the Atyrau (a) and “about. Sandy ”(b) and reanalysis of NCEP / NCAR.

Download (541KB)
3. Fig. 2. Quantile biplots of urgent values of the module of wind speed (V, m / s) according to the NCEP / NCAR reanalysis data in grid nodes (1) and measurements on the HMS (2) as a whole for a year and for two seasons: 3 - quantiles, 4 - bisector of the coordinate node, 5 - regression line (calibration curve). The abscissa axis is the observational data, the ordinate axis is the reanalysis. The numbers on the graph correspond to the security (%) of the quantiles. Winter - November – March; summer: April – October.

Download (749KB)
4. Fig. 3. Quantile biplots of urgent values of the wind velocity modulus (V> 15 m / s) according to the NCEP / NCAR reanalysis data at the grid nodes and measurements at the Turkmenbashi (a) and Sandy (b) GMS: 1 - quantiles, 2 - bisector of the coordinate node, 3 - regression line (calibration curve). The numbers on the graph correspond to the security (%) of the quantiles.

Download (187KB)
5. Fig. 4. Comparison of wind speed (V> 15 m / s) according to the NCEP / NCAR reanalysis and meteorological observations at the Turkmenbashi (a) and Peschaniy (b) GMS for storm situations from 1948 to 1990.

Download (364KB)

Copyright (c) 2019 Russian academy of sciences