Identifying causes of errors between two wave-related data using performance metrics

Iida, Takahito

Applied Ocean Research, 2024, 148, 104024

Number of Access:172（2025-11-17 17:39 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/97160

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Title
Identifying causes of errors between two wave-related data using performance metrics
Creator
NRID
1000050837573 1000050837573
researchmap permalink
takahito_iida takahito_iida
Scopus Author ID
56349040500 56349040500
CreatorName
Iida, Takahito
Subject
Frequency domain's representation
Performance metrics
Quantitative comparison
Time-series wave data
Description
Iida T., . Identifying causes of errors between two wave-related data using performance metrics. Applied Ocean Research 148, 104024 (2024); https://doi.org/10.1016/j.apor.2024.104024.
Abstract
Recently, numerous prediction methods of time-series data of wave-related phenomena have been developed. Quantitative evaluation of an error of a predicted result against a reference result is important to improve prediction accuracy. Many performance metrics are engaged to evaluate their accuracy. However, it is difficult for them to identify the error causes because all errors, no matter what the cause, are combined together. This paper presents new representations of performance metrics to separate errors by causes. Performances are evaluated in a frequency domain instead of a time domain. A frequency domain's amplitude and phase are respectively evaluated using performance metrics. In addition, to detect errors due to instantaneous phenomena and changes in an error trend over time, mean errors are defined by three-time intervals. The original metric uses all time-series data. On the other hand, a finite interval mean error at the present time is calculated by the mean of the preceding data. In addition, cumulative mean error at the present time is calculated by the mean of the data up to the present time. These new representations of performance metrics could help to identify error causes. Benchmark tests are carried out to demonstrate the validity of the proposed representations.
Publisher
Elsevier Ltd
Source Title
Applied Ocean Research
Volume (Issue)
148
Page
104024
Date of Issued
2024-07-01
Language
English
Handle URL
https://hdl.handle.net/11094/97160
PISSN
01411187
Relation.isIdenticalTo
DOI (Publisher Version)
https://doi.org/10.1016/j.apor.2024.104024
Access Rights
open access
CopyRight
This article is licensed under a Creative Commons Attribution 4.0 International License.
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Category
学術雑誌論文 Journal Article