[M-GI28] [EE] Data assimilation: A fundamental approach in geosciences

2017年5月22日(月) 15:30 〜 17:00 ポスター会場 (国際展示場 7ホール)

コンビーナ:中野慎也(情報・システム研究機構　統計数理研究所)、藤井陽介(気象庁気象研究所)、宮崎真一(京都大学理学研究科)、三好建正(理化学研究所計算科学研究機構)

Data assimilation is an inversion approach to estimate the evolution of a system by utilizing a constraint given by a dynamical simulation model. Data assimilation is now widely used not only in meteorology and oceanography but also other fields of geosciences such as hydrology, solid earth science, and space science. This session aims at providing an opportunity for discussion on data assimilation studies among researchers of various field of geosciences. We encourage contributions addressing novel methods and theoretical developments of data assimilation. Contributions dealing with useful applications of data assimilation are also welcome.

[MGI28-P01] Data assimilation for optimal estimation of frictional parameters and prediction of afterslip in the 2003 Tokachi-oki earthquake

*加納将行¹、宮崎真一²、石川洋一³、伊藤耕介⁴、平原和朗² (1.東京大学地震研究所、2.京都大学理学研究科、3.海洋研究開発機構、4.琉球大学理学部)

[MGI28-P02] Observation impact on the medium and the long-term range forecast on an eddy-resolving ocean forecast system based on ROMS

*瀬藤聡¹、黒田寛⁵、高橋大介⁵、東屋知範⁵、奥西武²、長谷川大介²、筧茂穂²、金子仁²、清水勇吾¹、日高清隆¹、廣江豊¹、山崎恵市¹、亀田卓彦¹、青木一宏¹、種子田雄³、森永健司⁴、岡崎誠⁴、増島雅親⁴、西本篤史¹ (1.国立研究開発法人水産研究・教育機構中央水産研究所、2.国立研究開発法人水産研究・教育機構東北区水産研究所、3.国立研究開発法人水産研究・教育西海区水産研究所、4.国立研究開発法人水産研究・教育機構国際水産資源研究所、5.国立研究開発法人水産研究・教育機構北海道区水産研究所)

[MGI28-P03] Development of an operational system for monitoring and forecasting coastal and open ocean states around Japan.

*広瀬成章¹、碓氷典久¹、豊田隆寛¹、藤井陽介¹、高槻靖¹、坂本圭¹、辻野博之¹ (1.気象庁気象研究所)

[MGI28-P04] Analysis error estimation in a 4-dimensional variational ocean data assimilation system using a quasi-Newton method

*藤井陽介¹、丹羽洋介¹、碓氷典久¹ (1.気象庁気象研究所)

[MGI28-P05] A Reanalysis Experiment using a Coupled Atmosphere-Ocean Data Assimilation System in JMA/MRI

*藤井陽介¹、石橋俊之¹、安田珠幾²、高谷祐平¹、入口武史¹、齊藤直彬¹、竹内義明¹ (1.気象庁気象研究所、2.気象庁)

[MGI28-P06] Numerical Weather Prediction Experiments using a Coupled Atmosphere-Ocean Data Assimilation System in JMA/MRI

*石橋俊之¹、入口武史¹、藤井陽介¹、安田珠幾²、高谷祐平¹、齊藤直彬¹、竹内義明¹ (1.気象庁気象研究所、2.気象庁)

[MGI28-P07] Towards assimilation of aerosol data from an imager of GOSAT into the aerosol transport model SPRINTARS

*中村東奈¹、亀井秋秀²、横田達也²、網代正孝² (1.富士通エフ・アイ・ピー株式会社、2.国立環境研究所)

[MGI28-P08] Multi-scale localization with NICAM-LETKF using real observations

*近藤圭一¹、三好建正¹ (1.国立研究開発法人理化学研究所計算科学研究機構)

[MGI28-P09] Implicit thinning and localization of dense observation data in the LETKF: A case of phased array weather radar

*Guo-Yuan Lien¹、Takemasa Miyoshi¹ (1.RIKEN AICS)

[MGI28-P10] Data assimilation experiment for reproducing the temporal evolution of the inner-magnetospheric environment

*中野慎也¹、Brandt Pontus²、Fok Mei-Ching³ (1.情報・システム研究機構　統計数理研究所、2.The Johns Hopkins University Applied Physics Laboratory、3.NASA Goddard Space Flight Center)

[MGI28-P11] Use of kernel regression in ensemble Kalman filters

*中野慎也¹ (1.情報・システム研究機構　統計数理研究所)

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