Data assimilation with high-frequency (HF) radar surface currents at a marine renewable energy test site

L. Ren; S. Nash; M. Hartnett

doi:10.1201/b18973-28

Data assimilation with high-frequency (HF) radar surface currents at a marine renewable energy test site

L. Ren
, S. Nash
, M. Hartnett

Civil Engineering

University of Galway

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

5 Citations (Scopus)

Abstract

The abundant measured surface currents from HF radar system in coastal area are assimilated into model to improve the modeling forecasting ability. A sequential data assimilation scheme, Direct Insertion (DI), is applied to update model states. The influence of Direct Insertion data assimilation over time is analyzed at one reference point. Four versions of model with different update interval are implemented to study the length of data assimilation cycle. A free run with no data assimilation is performed for comparison.

Original language	English
Title of host publication	Renewable Energies Offshore - 1st International Conference on Renewable Energies Offshore, RENEW 2014
Editors	C. Guedes Soares
Publisher	CRC Press/Balkema
Pages	189-193
Number of pages	5
ISBN (Print)	9781138028715
DOIs	https://doi.org/10.1201/b18973-28
Publication status	Published - 2015
Event	1st International Conference on Renewable Energies Offshore, RENEW 2014 - Lisbon, Portugal Duration: 24 Nov 2014 → 26 Nov 2014

Publication series

Name	Renewable Energies Offshore - 1st International Conference on Renewable Energies Offshore, RENEW 2014

Conference

Conference	1st International Conference on Renewable Energies Offshore, RENEW 2014
Country/Territory	Portugal
City	Lisbon
Period	24/11/14 → 26/11/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Access to Document

10.1201/b18973-28

Cite this

Ren, L., Nash, S., & Hartnett, M. (2015). Data assimilation with high-frequency (HF) radar surface currents at a marine renewable energy test site. In C. G. Soares (Ed.), Renewable Energies Offshore - 1st International Conference on Renewable Energies Offshore, RENEW 2014 (pp. 189-193). (Renewable Energies Offshore - 1st International Conference on Renewable Energies Offshore, RENEW 2014). CRC Press/Balkema. https://doi.org/10.1201/b18973-28

Ren, L. ; Nash, S. ; Hartnett, M. / Data assimilation with high-frequency (HF) radar surface currents at a marine renewable energy test site. Renewable Energies Offshore - 1st International Conference on Renewable Energies Offshore, RENEW 2014. editor / C. Guedes Soares. CRC Press/Balkema, 2015. pp. 189-193 (Renewable Energies Offshore - 1st International Conference on Renewable Energies Offshore, RENEW 2014).

@inproceedings{1a2d39e1404a495f9fc8c44713408a69,

title = "Data assimilation with high-frequency (HF) radar surface currents at a marine renewable energy test site",

abstract = "The abundant measured surface currents from HF radar system in coastal area are assimilated into model to improve the modeling forecasting ability. A sequential data assimilation scheme, Direct Insertion (DI), is applied to update model states. The influence of Direct Insertion data assimilation over time is analyzed at one reference point. Four versions of model with different update interval are implemented to study the length of data assimilation cycle. A free run with no data assimilation is performed for comparison.",

author = "L. Ren and S. Nash and M. Hartnett",

note = "Publisher Copyright: {\textcopyright} 2015 Taylor \& Francis Group, London.; 1st International Conference on Renewable Energies Offshore, RENEW 2014 ; Conference date: 24-11-2014 Through 26-11-2014",

year = "2015",

doi = "10.1201/b18973-28",

language = "English",

isbn = "9781138028715",

series = "Renewable Energies Offshore - 1st International Conference on Renewable Energies Offshore, RENEW 2014",

publisher = "CRC Press/Balkema",

pages = "189--193",

editor = "Soares, \{C. Guedes\}",

booktitle = "Renewable Energies Offshore - 1st International Conference on Renewable Energies Offshore, RENEW 2014",

}

Ren, L, Nash, S & Hartnett, M 2015, Data assimilation with high-frequency (HF) radar surface currents at a marine renewable energy test site. in CG Soares (ed.), Renewable Energies Offshore - 1st International Conference on Renewable Energies Offshore, RENEW 2014. Renewable Energies Offshore - 1st International Conference on Renewable Energies Offshore, RENEW 2014, CRC Press/Balkema, pp. 189-193, 1st International Conference on Renewable Energies Offshore, RENEW 2014, Lisbon, Portugal, 24/11/14. https://doi.org/10.1201/b18973-28

Data assimilation with high-frequency (HF) radar surface currents at a marine renewable energy test site. / Ren, L.; Nash, S.; Hartnett, M.
Renewable Energies Offshore - 1st International Conference on Renewable Energies Offshore, RENEW 2014. ed. / C. Guedes Soares. CRC Press/Balkema, 2015. p. 189-193 (Renewable Energies Offshore - 1st International Conference on Renewable Energies Offshore, RENEW 2014).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

TY - GEN

T1 - Data assimilation with high-frequency (HF) radar surface currents at a marine renewable energy test site

AU - Ren, L.

AU - Nash, S.

AU - Hartnett, M.

PY - 2015

Y1 - 2015

N2 - The abundant measured surface currents from HF radar system in coastal area are assimilated into model to improve the modeling forecasting ability. A sequential data assimilation scheme, Direct Insertion (DI), is applied to update model states. The influence of Direct Insertion data assimilation over time is analyzed at one reference point. Four versions of model with different update interval are implemented to study the length of data assimilation cycle. A free run with no data assimilation is performed for comparison.

AB - The abundant measured surface currents from HF radar system in coastal area are assimilated into model to improve the modeling forecasting ability. A sequential data assimilation scheme, Direct Insertion (DI), is applied to update model states. The influence of Direct Insertion data assimilation over time is analyzed at one reference point. Four versions of model with different update interval are implemented to study the length of data assimilation cycle. A free run with no data assimilation is performed for comparison.

UR - https://www.scopus.com/pages/publications/84949772980

U2 - 10.1201/b18973-28

DO - 10.1201/b18973-28

M3 - Conference Publication

AN - SCOPUS:84949772980

SN - 9781138028715

T3 - Renewable Energies Offshore - 1st International Conference on Renewable Energies Offshore, RENEW 2014

SP - 189

EP - 193

BT - Renewable Energies Offshore - 1st International Conference on Renewable Energies Offshore, RENEW 2014

A2 - Soares, C. Guedes

PB - CRC Press/Balkema

T2 - 1st International Conference on Renewable Energies Offshore, RENEW 2014

Y2 - 24 November 2014 through 26 November 2014

ER -

Ren L, Nash S, Hartnett M. Data assimilation with high-frequency (HF) radar surface currents at a marine renewable energy test site. In Soares CG, editor, Renewable Energies Offshore - 1st International Conference on Renewable Energies Offshore, RENEW 2014. CRC Press/Balkema. 2015. p. 189-193. (Renewable Energies Offshore - 1st International Conference on Renewable Energies Offshore, RENEW 2014). doi: 10.1201/b18973-28

Data assimilation with high-frequency (HF) radar surface currents at a marine renewable energy test site

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this