Hindcasting of wave climate along the Pacific Coast of Japan in October 2014

Shinsaku Nishizaki, Tomoya Shibayama, Tomoyuki Takabatake, Ryota Nakamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

One-month wave simulations were performed from Oct. 1st to Nov. 1st in 2014. The one-way numerical models composed of WRF (Weather Research and Forecasting) and SWAN (Simulating WAve Nearshore) were used. This research focused on evaluations of both a resolution of wind data and a difference between structured SWAN (STSWAN) and unstructured SWAN (UNSWAN). The results show some differences among case studies. High resolution wind data affect peak values of significant waves at typhoon periods. In addition, the overestimation of swell caused by typhoons decreased at the nearshore points, in particular at Shimoda by using UNSWAN. As a conclusion, there is little difference between STSWAN and UNSWAN on the overall simulation of wave climate. However, UNSWAN is useful for simulating nearshore waves and has possibility to predict wave climate with higher precision than STSWAN.

Original languageEnglish
Title of host publicationASIAN AND PACIFIC COASTS 2017
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages129-138
Number of pages10
Edition213039
ISBN (Print)9789813233805
DOIs
Publication statusPublished - 2018 Jan 1
Event9th International Conference on Asian and Pacific Coasts, APAC 2017 - Pasay, Philippines
Duration: 2017 Oct 192017 Oct 21

Other

Other9th International Conference on Asian and Pacific Coasts, APAC 2017
CountryPhilippines
CityPasay
Period17/10/1917/10/21

Fingerprint

hindcasting
wave climate
coast
typhoon
swell
simulation
weather

Keywords

  • one-month wave simulation
  • significant wave
  • STSWAN
  • swell
  • UNSWAN

ASJC Scopus subject areas

  • Earth-Surface Processes
  • Oceanography

Cite this

Nishizaki, S., Shibayama, T., Takabatake, T., & Nakamura, R. (2018). Hindcasting of wave climate along the Pacific Coast of Japan in October 2014. In ASIAN AND PACIFIC COASTS 2017 (213039 ed., pp. 129-138). World Scientific Publishing Co. Pte Ltd. https://doi.org/10.1142/9789813233812_0013

Hindcasting of wave climate along the Pacific Coast of Japan in October 2014. / Nishizaki, Shinsaku; Shibayama, Tomoya; Takabatake, Tomoyuki; Nakamura, Ryota.

ASIAN AND PACIFIC COASTS 2017. 213039. ed. World Scientific Publishing Co. Pte Ltd, 2018. p. 129-138.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nishizaki, S, Shibayama, T, Takabatake, T & Nakamura, R 2018, Hindcasting of wave climate along the Pacific Coast of Japan in October 2014. in ASIAN AND PACIFIC COASTS 2017. 213039 edn, World Scientific Publishing Co. Pte Ltd, pp. 129-138, 9th International Conference on Asian and Pacific Coasts, APAC 2017, Pasay, Philippines, 17/10/19. https://doi.org/10.1142/9789813233812_0013
Nishizaki S, Shibayama T, Takabatake T, Nakamura R. Hindcasting of wave climate along the Pacific Coast of Japan in October 2014. In ASIAN AND PACIFIC COASTS 2017. 213039 ed. World Scientific Publishing Co. Pte Ltd. 2018. p. 129-138 https://doi.org/10.1142/9789813233812_0013
Nishizaki, Shinsaku ; Shibayama, Tomoya ; Takabatake, Tomoyuki ; Nakamura, Ryota. / Hindcasting of wave climate along the Pacific Coast of Japan in October 2014. ASIAN AND PACIFIC COASTS 2017. 213039. ed. World Scientific Publishing Co. Pte Ltd, 2018. pp. 129-138
@inproceedings{3670017d2ab149b0b1c95265439de42f,
title = "Hindcasting of wave climate along the Pacific Coast of Japan in October 2014",
abstract = "One-month wave simulations were performed from Oct. 1st to Nov. 1st in 2014. The one-way numerical models composed of WRF (Weather Research and Forecasting) and SWAN (Simulating WAve Nearshore) were used. This research focused on evaluations of both a resolution of wind data and a difference between structured SWAN (STSWAN) and unstructured SWAN (UNSWAN). The results show some differences among case studies. High resolution wind data affect peak values of significant waves at typhoon periods. In addition, the overestimation of swell caused by typhoons decreased at the nearshore points, in particular at Shimoda by using UNSWAN. As a conclusion, there is little difference between STSWAN and UNSWAN on the overall simulation of wave climate. However, UNSWAN is useful for simulating nearshore waves and has possibility to predict wave climate with higher precision than STSWAN.",
keywords = "one-month wave simulation, significant wave, STSWAN, swell, UNSWAN",
author = "Shinsaku Nishizaki and Tomoya Shibayama and Tomoyuki Takabatake and Ryota Nakamura",
year = "2018",
month = "1",
day = "1",
doi = "10.1142/9789813233812_0013",
language = "English",
isbn = "9789813233805",
pages = "129--138",
booktitle = "ASIAN AND PACIFIC COASTS 2017",
publisher = "World Scientific Publishing Co. Pte Ltd",
address = "Singapore",
edition = "213039",

}

TY - GEN

T1 - Hindcasting of wave climate along the Pacific Coast of Japan in October 2014

AU - Nishizaki, Shinsaku

AU - Shibayama, Tomoya

AU - Takabatake, Tomoyuki

AU - Nakamura, Ryota

PY - 2018/1/1

Y1 - 2018/1/1

N2 - One-month wave simulations were performed from Oct. 1st to Nov. 1st in 2014. The one-way numerical models composed of WRF (Weather Research and Forecasting) and SWAN (Simulating WAve Nearshore) were used. This research focused on evaluations of both a resolution of wind data and a difference between structured SWAN (STSWAN) and unstructured SWAN (UNSWAN). The results show some differences among case studies. High resolution wind data affect peak values of significant waves at typhoon periods. In addition, the overestimation of swell caused by typhoons decreased at the nearshore points, in particular at Shimoda by using UNSWAN. As a conclusion, there is little difference between STSWAN and UNSWAN on the overall simulation of wave climate. However, UNSWAN is useful for simulating nearshore waves and has possibility to predict wave climate with higher precision than STSWAN.

AB - One-month wave simulations were performed from Oct. 1st to Nov. 1st in 2014. The one-way numerical models composed of WRF (Weather Research and Forecasting) and SWAN (Simulating WAve Nearshore) were used. This research focused on evaluations of both a resolution of wind data and a difference between structured SWAN (STSWAN) and unstructured SWAN (UNSWAN). The results show some differences among case studies. High resolution wind data affect peak values of significant waves at typhoon periods. In addition, the overestimation of swell caused by typhoons decreased at the nearshore points, in particular at Shimoda by using UNSWAN. As a conclusion, there is little difference between STSWAN and UNSWAN on the overall simulation of wave climate. However, UNSWAN is useful for simulating nearshore waves and has possibility to predict wave climate with higher precision than STSWAN.

KW - one-month wave simulation

KW - significant wave

KW - STSWAN

KW - swell

KW - UNSWAN

UR - http://www.scopus.com/inward/record.url?scp=85048365670&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85048365670&partnerID=8YFLogxK

U2 - 10.1142/9789813233812_0013

DO - 10.1142/9789813233812_0013

M3 - Conference contribution

SN - 9789813233805

SP - 129

EP - 138

BT - ASIAN AND PACIFIC COASTS 2017

PB - World Scientific Publishing Co. Pte Ltd

ER -