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The proposed algorithm is called the HB-DFR algorithm, in reference to the combination of Histchfeld-Bordan\u0027s attenuation correction method (HB method) and the dual-frequency ratio (DFR) method. The HB-DFR algorithm is tested with a synthetic DPR dataset produced from the standard product of the PR on the Tropical Rainfall Measuring Mission. Precipitation rates estimated by the HB-DFR algorithm at the lowest (near-surface) range bin are evaluated by comparing them with the corresponding values calculated from the drop size distribution of the synthetic dataset. For \u0027light precipitation\u0027 (below 1 mm h-1), precipitation rates are slightly underestimated because of the multiple-solution problem in the DFR method. For \u0027heavy precipitation\u0027 (above 10 mm h-1), the precipitation rates are severely underestimated, and the biases become large when thick liquid phase precipitation occurs. 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The Basic Performance of a Precipitation Retrieval Algorithm for the Global Precipitation Measurement Mission's Single/Dual-Frequency Radar Measurements
http://hdl.handle.net/10069/34075
http://hdl.handle.net/10069/340755f6d51b0-560b-4cf4-a924-edca7eb93672
名前 / ファイル | ライセンス | アクション |
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IEEETGRS51_5239.pdf (1.2 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2014-01-27 | |||||
タイトル | ||||||
タイトル | The Basic Performance of a Precipitation Retrieval Algorithm for the Global Precipitation Measurement Mission's Single/Dual-Frequency Radar Measurements | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Attenuation | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Radar | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Rain | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者 |
Seto, Shinta
× Seto, Shinta× Iguchi, Toshio× Oki, Taikan |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | A precipitation retrieval algorithm is proposed for the dual-frequency precipitation radar (DPR) on the core satellite of the Global Precipitation Measurement mission. The proposed algorithm is called the HB-DFR algorithm, in reference to the combination of Histchfeld-Bordan's attenuation correction method (HB method) and the dual-frequency ratio (DFR) method. The HB-DFR algorithm is tested with a synthetic DPR dataset produced from the standard product of the PR on the Tropical Rainfall Measuring Mission. Precipitation rates estimated by the HB-DFR algorithm at the lowest (near-surface) range bin are evaluated by comparing them with the corresponding values calculated from the drop size distribution of the synthetic dataset. For 'light precipitation' (below 1 mm h-1), precipitation rates are slightly underestimated because of the multiple-solution problem in the DFR method. For 'heavy precipitation' (above 10 mm h-1), the precipitation rates are severely underestimated, and the biases become large when thick liquid phase precipitation occurs. For 'medium precipitation' (between 1 and 10 mm h -1), the estimates are satisfactory. As almost 50% of precipitation falls as medium precipitation in the synthetic dataset, this result validates the usefulness of DPR measurements and the HB-DFR algorithm. Because the HB-DFR algorithm is a forward retrieval algorithm, it has multiple solutions and produces larger errors when applied to lower (farther) range bins. Unlike other dual-frequency algorithms, the HB-DFR algorithm can be easily switched to a single-frequency algorithm at a range bin where a measurement at one of the two frequencies is not available. | |||||
書誌情報 |
IEEE Transactions on Geoscience and Remote Sensing 巻 51, 号 12, p. 5239-5251, 発行日 2013-12 |
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出版者 | ||||||
出版者 | Institute of Electrical and Electronics Engineers Inc. | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 01962892 | |||||
EISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 15580644 | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1109/TGRS.2012.2231686 | |||||
権利 | ||||||
権利情報 | c 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |||||
著者版フラグ | ||||||
出版タイプ | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
引用 | ||||||
内容記述タイプ | Other | |||||
内容記述 | IEEE Transactions on Geoscience and Remote Sensing, 51(12), pp.5239-5251; 2013 |