Details
Originalsprache | Englisch |
---|---|
Titel des Sammelwerks | Proceedings of the Coastal Engineering Conference |
Herausgeber/-innen | Daniel Cox |
Herausgeber (Verlag) | American Society of Civil Engineers (ASCE) |
Auflage | 37 |
ISBN (elektronisch) | 9780989661164 |
Publikationsstatus | Veröffentlicht - 1 Sept. 2023 |
Veranstaltung | 37th International Conference on Coastal Engineering, ICCE 2022 - Sydney, Australien Dauer: 4 Dez. 2022 → 9 Dez. 2022 |
Publikationsreihe
Name | Proceedings of the Coastal Engineering Conference |
---|---|
Nummer | 37 |
ISSN (Print) | 0161-3782 |
Abstract
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Tief- und Ingenieurbau
- Ingenieurwesen (insg.)
- Meerestechnik
- Erdkunde und Planetologie (insg.)
- Ozeanographie
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
Proceedings of the Coastal Engineering Conference. Hrsg. / Daniel Cox. 37. Aufl. American Society of Civil Engineers (ASCE), 2023. (Proceedings of the Coastal Engineering Conference; Nr. 37).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Comparison of field and forecast metocean data in the german bight
AU - Froehling, Lukas
AU - Grotebrune, Thilo
AU - Hildebrandt, Arndt
PY - 2023/9/1
Y1 - 2023/9/1
N2 - Offshore wind energy can contribute significantly to achieve greenhouse gas neutrality in the near future. But the planning, construction and operation of offshore wind parks is associated with high costs. In particular, the operation and maintenance (OandM) costs account for a major fraction and in turn are also dependent on appropriate weather windows in which working vessels can operate. A precise knowledge of how wind, sea state and currents affect each other, as well as the most accurate possible prediction of the development, is essential to maximize these periods and reduce the resulting costs. For the German Bight, the high-resolution coastal wave model (CWAM) is often used for this purpose. The CWAM is based on WAM (Hasselmann et al. 1988) and was developed by the German Meteorological Service (DWD) and German Maritime and Hydrographic Agency (BSH) in cooperation with the Helmholtz-Zentrum Hereon. Compared to other WAM models it offers the advantages of higher resolution, as well as the consideration of current speeds and tide-dependent water depths. The BSH also operates multiple measuring stations in the German Bight, which enable real-time investigation of sea state parameters. The general objective of this study is to compare historical data sets from in situ measurements in the German Bight with numerical forecast data and to identify which factors influence the accuracy of the CWAM and why deviations occur.
AB - Offshore wind energy can contribute significantly to achieve greenhouse gas neutrality in the near future. But the planning, construction and operation of offshore wind parks is associated with high costs. In particular, the operation and maintenance (OandM) costs account for a major fraction and in turn are also dependent on appropriate weather windows in which working vessels can operate. A precise knowledge of how wind, sea state and currents affect each other, as well as the most accurate possible prediction of the development, is essential to maximize these periods and reduce the resulting costs. For the German Bight, the high-resolution coastal wave model (CWAM) is often used for this purpose. The CWAM is based on WAM (Hasselmann et al. 1988) and was developed by the German Meteorological Service (DWD) and German Maritime and Hydrographic Agency (BSH) in cooperation with the Helmholtz-Zentrum Hereon. Compared to other WAM models it offers the advantages of higher resolution, as well as the consideration of current speeds and tide-dependent water depths. The BSH also operates multiple measuring stations in the German Bight, which enable real-time investigation of sea state parameters. The general objective of this study is to compare historical data sets from in situ measurements in the German Bight with numerical forecast data and to identify which factors influence the accuracy of the CWAM and why deviations occur.
UR - http://www.scopus.com/inward/record.url?scp=85181574068&partnerID=8YFLogxK
U2 - 10.9753/icce.v37.management.87
DO - 10.9753/icce.v37.management.87
M3 - Conference contribution
AN - SCOPUS:85181574068
T3 - Proceedings of the Coastal Engineering Conference
BT - Proceedings of the Coastal Engineering Conference
A2 - Cox, Daniel
PB - American Society of Civil Engineers (ASCE)
T2 - 37th International Conference on Coastal Engineering, ICCE 2022
Y2 - 4 December 2022 through 9 December 2022
ER -