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WIND DATA REANALYSIS AS THE INPUT DATA FOR WAVE CLIMATE SIMULATION. СASPIAN SEA AS AN EXAMPLE. / Лопатухин, Леонид Иосифович; Яицкая, Наталья Александровна.

17th International Multidisciplinary Scientific GeoConference SGEM 2017: SGEM2017 Conference Proceedings, 29 June - 5 July, 2017. Том 17, issue 31 Болгария : STEF92 Technology Ltd., 2017. стр. 801-806 10173.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаяРецензирование

Harvard

Лопатухин, ЛИ & Яицкая, НА 2017, WIND DATA REANALYSIS AS THE INPUT DATA FOR WAVE CLIMATE SIMULATION. СASPIAN SEA AS AN EXAMPLE. в 17th International Multidisciplinary Scientific GeoConference SGEM 2017: SGEM2017 Conference Proceedings, 29 June - 5 July, 2017. Том. 17, issue 31, 10173, STEF92 Technology Ltd., Болгария, стр. 801-806. https://doi.org/10.5593/sgem2017/31/S12.101

APA

Лопатухин, Л. И., & Яицкая, Н. А. (2017). WIND DATA REANALYSIS AS THE INPUT DATA FOR WAVE CLIMATE SIMULATION. СASPIAN SEA AS AN EXAMPLE. в 17th International Multidisciplinary Scientific GeoConference SGEM 2017: SGEM2017 Conference Proceedings, 29 June - 5 July, 2017 (Том 17, issue 31, стр. 801-806). [10173] STEF92 Technology Ltd.. https://doi.org/10.5593/sgem2017/31/S12.101

Vancouver

Лопатухин ЛИ, Яицкая НА. WIND DATA REANALYSIS AS THE INPUT DATA FOR WAVE CLIMATE SIMULATION. СASPIAN SEA AS AN EXAMPLE. в 17th International Multidisciplinary Scientific GeoConference SGEM 2017: SGEM2017 Conference Proceedings, 29 June - 5 July, 2017. Том 17, issue 31. Болгария: STEF92 Technology Ltd. 2017. стр. 801-806. 10173 https://doi.org/10.5593/sgem2017/31/S12.101

Author

Лопатухин, Леонид Иосифович ; Яицкая, Наталья Александровна. / WIND DATA REANALYSIS AS THE INPUT DATA FOR WAVE CLIMATE SIMULATION. СASPIAN SEA AS AN EXAMPLE. 17th International Multidisciplinary Scientific GeoConference SGEM 2017: SGEM2017 Conference Proceedings, 29 June - 5 July, 2017. Том 17, issue 31 Болгария : STEF92 Technology Ltd., 2017. стр. 801-806

BibTeX

@inproceedings{798997797ed14107832b5b602fbcd10a,
title = "WIND DATA REANALYSIS AS THE INPUT DATA FOR WAVE CLIMATE SIMULATION. СASPIAN SEA AS AN EXAMPLE",
abstract = "The basic stage of the modern approach to calculation of a wind wave climate (long-term probability) includes the database formation using numerical hydrodynamic models. The input to such models is atmospheric pressure or wind velocity at some height over sea surface. This information extracted from the reanalysis data. Initially reanalysis intended for research of global processes without description of the extreme phenomena. For this reason, for calculations of a wave climate the reanalysis data have to be corrected. The approach to correction of the reanalysis data and some results are presented. It is shown that for speed of a wind less than 15 m/s the reanalysis as a whole overestimates values in comparison with the measurements, and for speed more than 15 m/s − underestimates. Therefore, for restoration by means of mathematical modelling of a full picture of wave fields including storm situations, it is necessary to apply multistage procedure of correction of the data: separately for each region of the sea and further for storm situations for all sea.",
keywords = "wind fields, reanalysis, hydrometeorological stations, winds at coastal stations, regression, Caspian Sea",
author = "Лопатухин, {Леонид Иосифович} and Яицкая, {Наталья Александровна}",
year = "2017",
month = sep,
day = "11",
doi = "10.5593/sgem2017/31/S12.101",
language = "English",
isbn = "978-619-7408-04-1",
volume = "17, issue 31",
pages = "801--806",
booktitle = "17th International Multidisciplinary Scientific GeoConference SGEM 2017",
publisher = "STEF92 Technology Ltd.",
address = "Bulgaria",

}

RIS

TY - GEN

T1 - WIND DATA REANALYSIS AS THE INPUT DATA FOR WAVE CLIMATE SIMULATION. СASPIAN SEA AS AN EXAMPLE

AU - Лопатухин, Леонид Иосифович

AU - Яицкая, Наталья Александровна

PY - 2017/9/11

Y1 - 2017/9/11

N2 - The basic stage of the modern approach to calculation of a wind wave climate (long-term probability) includes the database formation using numerical hydrodynamic models. The input to such models is atmospheric pressure or wind velocity at some height over sea surface. This information extracted from the reanalysis data. Initially reanalysis intended for research of global processes without description of the extreme phenomena. For this reason, for calculations of a wave climate the reanalysis data have to be corrected. The approach to correction of the reanalysis data and some results are presented. It is shown that for speed of a wind less than 15 m/s the reanalysis as a whole overestimates values in comparison with the measurements, and for speed more than 15 m/s − underestimates. Therefore, for restoration by means of mathematical modelling of a full picture of wave fields including storm situations, it is necessary to apply multistage procedure of correction of the data: separately for each region of the sea and further for storm situations for all sea.

AB - The basic stage of the modern approach to calculation of a wind wave climate (long-term probability) includes the database formation using numerical hydrodynamic models. The input to such models is atmospheric pressure or wind velocity at some height over sea surface. This information extracted from the reanalysis data. Initially reanalysis intended for research of global processes without description of the extreme phenomena. For this reason, for calculations of a wave climate the reanalysis data have to be corrected. The approach to correction of the reanalysis data and some results are presented. It is shown that for speed of a wind less than 15 m/s the reanalysis as a whole overestimates values in comparison with the measurements, and for speed more than 15 m/s − underestimates. Therefore, for restoration by means of mathematical modelling of a full picture of wave fields including storm situations, it is necessary to apply multistage procedure of correction of the data: separately for each region of the sea and further for storm situations for all sea.

KW - wind fields, reanalysis, hydrometeorological stations, winds at coastal stations, regression, Caspian Sea

U2 - 10.5593/sgem2017/31/S12.101

DO - 10.5593/sgem2017/31/S12.101

M3 - Conference contribution

SN - 978-619-7408-04-1

VL - 17, issue 31

SP - 801

EP - 806

BT - 17th International Multidisciplinary Scientific GeoConference SGEM 2017

PB - STEF92 Technology Ltd.

CY - Болгария

ER -

ID: 43475083