| アイテムタイプ |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2015-03-26 |
| タイトル |
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タイトル |
Raindrop Size Distribution (DSD) Retrieval for X-Band Dual-Polarization Radar |
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言語 |
en |
| 言語 |
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言語 |
eng |
| キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
Algorithms |
| キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
Radars/Radar observations |
| キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
Optimization |
| 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 |
| アクセス権 |
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アクセス権 |
metadata only access |
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アクセス権URI |
http://purl.org/coar/access_right/c_14cb |
| 著者 |
吉川, 栄一
CHANDRASEKAR, Venkatachalam
牛尾, 知雄
Yoshikawa, Eiichi
CHANDRASEKAR, Venkatachalam
Ushio, Tomoo
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| 著者所属 |
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宇宙航空研究開発機構航空本部(JAXA) : 大阪大学 : コロラド州立大学 |
| 著者所属 |
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コロラド州立大学 |
| 著者所属 |
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大阪大学 |
| 著者所属（英） |
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en |
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Institute of Aeronautical Technology, Japan Aerospace Exploration Agency (JAXA) : Osaka University : Colorado State University |
| 著者所属（英） |
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en |
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Colorado State University |
| 著者所属（英） |
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en |
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Osaka University |
| 出版者（英） |
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出版者 |
American Meteorological Society |
| 書誌情報 |
en : Journal of Atmospheric and Oceanic Technology
巻 31,
号 2,
p. 387-403,
発行日 2014-02
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| 抄録（英） |
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内容記述タイプ |
Other |
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内容記述 |
A raindrop size distribution (DSD) retrieval method for a dual-polarization radar at attenuating frequency is proposed. The proposed method is developed such that the range profiles of the gamma DSD parameters, an intercept parameter Nw (mm(exp -1) m(exp -3)), and a median volume diameter D(0) (mm) can be estimated to match the dual-polarization measurements, measured equivalent reflectivity at horizontal polarization Z(Hm), measured differential reflectivity Z(DRm), and measured differential propagation phase Φ(DPm), where the forward scattering and backscattering are formulated simultaneously to avoid the two-step process of attenuation correction and DSD retrieval. Additionally, the proposed method does not have the attenuation-correction errors accumulated along range that traditional forward and backward processes have, since the range profiles of the DSD parameters are optimized in a radar beam simultaneously. In the simulation, the proposed algorithm showed fairly good accuracies for retrievals Nw and D(0). Errors with the different axis ratio models or calibration biases in Z(Hm) and Z(DRm), which contaminate assumptions of the proposed method in real observational data, were also evaluated. Under a Gaussian fluctuation model, the estimation process, known as an iterative maximum-likelihood estimator, derives the best estimation in the statistical fluctuation conditions. This scheme could be extended to duplicative observation such as a radar network environment. |
| ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
0739-0572 |
| ISSNONLINE |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
1520-0426 |
| 書誌レコードID |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AA10458270 |
| 資料番号 |
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内容記述タイプ |
Other |
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内容記述 |
資料番号: PA1420036000 |
