|
Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Science / Faculty of Science >
北海道大学地球物理学研究報告 = Geophysical bulletin of Hokkaido University >
第85号 >
アンサンブルスプレッドを活かしたガイダンスの精度向上
This item is licensed under:Creative Commons Attribution-NonCommercial 4.0 International
| Title: | アンサンブルスプレッドを活かしたガイダンスの精度向上 |
| Other Titles: | The improvement of post-processing with the ensemble spread |
| Authors: | 相河, 卓哉1 Browse this author | | 稲津, 將2 Browse this author →KAKEN DB |
| Authors(alt): | Aikawa, Takuya1 | | Inatsu, Masaru2 |
| Issue Date: | 26-Mar-2022 |
| Publisher: | 北海道大学大学院理学研究院 |
| Journal Title: | 北海道大学地球物理学研究報告 |
| Journal Title(alt): | Geophysical bulletin of Hokkaido University |
| Volume: | 85 |
| Start Page: | 1 |
| End Page: | 10 |
| Abstract: | Post-processing is an inevitable procedure to statistically correct systematic errors in a numerical model product. Karman filtering, a post-processing technique, often ameliorated the prediction skill by overlearning due to large random errors. This study conducted an experiment to determine the observation error variance from the ensemble spread, based on an idealised numerical model of Lorenz 96. The results suggested that the overlearning was mitigated in spite of synchronisation of systematic errors and the prediction skill was higher than in previous method. |
| Rights: | https://creativecommons.org/licenses/by-nc/4.0/ |
| Type: | bulletin (article) |
| URI: | http://hdl.handle.net/2115/84678 |
| Appears in Collections: | 北海道大学地球物理学研究報告 = Geophysical bulletin of Hokkaido University > 第85号
|
|
