2019
DOI: 10.1016/j.oceaneng.2019.106639
|View full text |Cite
|
Sign up to set email alerts
|

Evaluating extreme cyclonic sea states

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 28 publications
0
2
0
Order By: Relevance
“…Winds are often underestimated at some locations, mainly in the Southern Hemisphere, due to the lack of observational data (e.g., Stopa and Cheung, 2014). This problem contributes to the misrepresentation of cyclones, particularly the most intense ones, which leads to issues in windwave climate hindcast and forecast (e.g., Kumar et al, 2003;Campos and Guedes Soares, 2016;Bakhtyar et al, 2018;Mattioli et al, 2019;Campos et al, 2019), and storm surge estimations (e.g., Colle et al, 2010;Booth et al, 2016;Sebastian et al, 2019). Therefore, it is important to evaluate cyclone and storm track characteristics of datasets available at high temporal resolution, since 1-hourly fields are frequently used to support the production of wave hindcasts and forecasts, and energy sector assessments.…”
Section: Introductionmentioning
confidence: 99%
“…Winds are often underestimated at some locations, mainly in the Southern Hemisphere, due to the lack of observational data (e.g., Stopa and Cheung, 2014). This problem contributes to the misrepresentation of cyclones, particularly the most intense ones, which leads to issues in windwave climate hindcast and forecast (e.g., Kumar et al, 2003;Campos and Guedes Soares, 2016;Bakhtyar et al, 2018;Mattioli et al, 2019;Campos et al, 2019), and storm surge estimations (e.g., Colle et al, 2010;Booth et al, 2016;Sebastian et al, 2019). Therefore, it is important to evaluate cyclone and storm track characteristics of datasets available at high temporal resolution, since 1-hourly fields are frequently used to support the production of wave hindcasts and forecasts, and energy sector assessments.…”
Section: Introductionmentioning
confidence: 99%
“…The assessment of extreme waves generated by typhoons (tropical cyclones) is fundamental for coastal planning. Yet, such storm events exhibit strong variability on relatively short timespans, implying that standard statistical methods applied to waves hindcasted or measured at a certain location could lead to uncertain or highly approximate results (Mattioli et al, 2019). This underscores the benefits of comparing a recent typhoon with past HEW events using boulder-inferred data.…”
Section: Aimsmentioning
confidence: 99%