| Item type |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2016-06-13 |
| タイトル |
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タイトル |
Experimental Assimilation of the GPM Core Observatory DPR Reflectivity Profiles for Typhoon Halong |
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言語 |
en |
| 言語 |
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言語 |
eng |
| 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 |
岡本, 幸三
青梨, 和正
久保田, 拓志
田島, 知子
Okamoto, Kozo
Aonashi, Kazumasa
Kubota, Takuji
Tashima, Tomoko
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| 著者所属 |
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気象庁気象研究所 |
| 著者所属 |
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気象庁気象研究所 |
| 著者所属 |
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宇宙航空研究開発機構地球観測研究センター(JAXA)(EORC): 気象庁気象研究所 |
| 著者所属 |
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リモート・センシング技術センター |
| 著者所属（英） |
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en |
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Meteorological Research Institute, Japan Meteorological Agency |
| 著者所属（英） |
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en |
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Meteorological Research Institute, Japan Meteorological Agency |
| 著者所属（英） |
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en |
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Earth Observation Research Center, Japan Aerospace Exploration Agency (JAXA)(EORC) |
| 著者所属（英） |
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en |
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Remote Sensing Technology Center of Japan |
| 出版者 |
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出版者 |
アメリカ気象学会 |
| 出版者（英） |
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出版者 |
American Meteorological Society |
| 書誌情報 |
en : Monthly Weather Review
発行日 2016-03-29
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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 |
Space-based precipitation radar data have been underused in data assimilation studies and operations despite their valuable information on vertically resolved hydrometeor profiles around the globe. The authors developed direct assimilation of reflectivities (Ze) from the Dual-Frequency Precipitation Radar (DPR) on board the Global Precipitation Measurement (GPM) Core Observatory to improve mesoscale predictions. Based on comparisons with Ze observations, this cloud resolving model mostly reproduced Ze but produced overestimations of Ze induced by excessive snow with large diameter particles. With an ensemble-based variational scheme and preprocessing steps to properly treat reflectivity observations including conservative quality control and superobbing procedures, the authors assimilated DPR Ze and/or rain-affected radiances of GPM Microwave Imager (GMI) for the case of Typhoon Halong in July 2014. With the vertically resolving capability of DPR, the authors effectively selected Ze observations most suited to data assimilation, for example, by removing Ze above the melting layer to avoid contamination due to model bias. While the GMI radiance had large impacts on various control variables, the DPR made a fine delicate analysis of the rain mixing ratio and updraft. This difference arose from the observation characteristics (coverage width and spatial resolution), sensitivities represented in the observation operators, and structures of the background error covariance. Because the DPR assimilation corrected excessive increases in rain and clouds due to the radiance assimilation, the combined use of DPR and GMI generated more accurate analysis and forecast than separate use of them with respect to the agreement of observations and tropical cyclone position errors. |
| 内容記述 |
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内容記述タイプ |
Other |
|
内容記述 |
形態: カラー図版あり |
| 内容記述（英） |
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内容記述タイプ |
Other |
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内容記述 |
Physical characteristics: Original contains color illustrations |
| 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 |
0027-0644 |
| 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 |
AA0074822X |
| DOI |
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識別子タイプ |
DOI |
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関連識別子 |
http://dx.doi.org/10.1175/MWR-D-15-0399.1 |
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関連名称 |
info:doi/10.1175/MWR-D-15-0399.1 |
| 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: PA1610020000 |
