| Item type |
文献 / Documents(1) |
| 公開日 |
2023-04-14 |
| アクセス権 |
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アクセス権 |
open access |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
| 出版社版DOI |
|
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|
関連識別子 |
https://doi.org/10.2299/jsp.24.195 |
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関連名称 |
10.2299/jsp.24.195 |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| タイトル |
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|
タイトル |
Correction Method for Numerically Forecast Wind Speed Data of MSM-GPV Using CNN |
| 著者 |
ホリハタ, ダイチ
鈴木, 浩司
北島, 孝弘
桑原, 明伸
安野, 卓
瀧川, 喜義
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| 抄録 |
|
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内容記述 |
This paper describes a statistical correction model for wind speed data of the Meso-Scale Model Grid Point Value (MSM-GPV), which is one of the numerical weather forecasting systems. In the numerical forecasting system, there are calculation errors caused by both the physical modeling and estimation of initial values. Because numerical forecast data have two-dimensional spatial information, convolution with a convolutional neural network (CNN) is used to grasp and correct the two-dimensional features of errors contained in the forecast data. In the simulations, several MSM-GPV data used for the input data and various correction models are prepared and compared with the results of a fully connected neural network from the viewpoints of the error improvement rate and error distribution. |
| 書誌情報 |
en : Journal of Signal Processing
巻 24,
号 4,
p. 195-198,
発行日 2020-07-15
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| 収録物ID |
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|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
18801013 |
| 出版者 |
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出版者 |
Research Institute of Signal Processing |
| 備考 |
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|
値 |
利用は著作権の範囲内に限られる。 |
| EID |
|
|
識別子 |
373204 |
| 言語 |
|
|
言語 |
eng |
jsp_24_4_195.pdf (3.47 MB)
