日本地球惑星科学連合2015年大会

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セッション記号 M (領域外・複数領域) » M-GI 地球科学一般・情報地球科学

[M-GI37] 情報地球惑星科学と大量データ処理

2015年5月28日(木) 09:00 〜 10:45 203 (2F)

コンビーナ:*豊田 英司(気象庁予報部数値予報課)、若林 真由美(基礎地盤コンサルタンツ株式会社)、野々垣 進(独立行政法人 産業技術総合研究所 地質情報研究部門 情報地質研究グループ)、豊田 英司(気象庁予報部数値予報課)、村田 健史(情報通信研究機構)、寺薗 淳也(会津大学)、堀 智昭(名古屋大学太陽地球環境研究所 ジオスペース研究センター)、大竹 和生(気象庁気象大学校)、堀之内 武(北海道大学地球環境科学研究院)、座長:堀 智昭(名古屋大学太陽地球環境研究所)、村田 健史(情報通信研究機構)

09:15 〜 09:30

[MGI37-11] 大気エアロゾル・雲・放射の国際地上観測ネットワークSKYNETのデータハンドリングについて

*入江 仁士1Pradeep Khatri1岡本 浩1高村 民雄1清水 厚2日暮 明子2西澤 智明2青木 一真3中島 映至4 (1.千葉大学、2.国立環境研究所、3.富山大学、4.東京大学)

キーワード:SKYNET, 地上観測, ネットワーク, エアロゾル, 雲, 放射

SKYNET is an observation network dedicated for aerosol-cloud-radiation interaction researches. It was initiated under the WCRP/GAME project and expanded focusing on East Asia as the ADEOS/GLI validation activity. The primary objectives of SKYNET are 1) to quantitatively evaluate long-term variations of aerosols, clouds, and atmospheric radiation and 2) to understand their effects on climate through aerosol-cloud-radiation interaction. In addition, the validation for satellite observations (e.g., GOSAT, GOSAT-2, GCOM-C, EarthCARE, and Himawari-8) as well as climate model simulations and data assimilations are also within the scope of the SKYNET activity. To accomplish these objectives, SKYNET observes optical and microphysical properties of aerosols and clouds and atmospheric radiation in worldwide under close collaboration among national agencies, institutes, and universities. All sites of SKYNET are equipped with one or more sky radiometers as the main instrument. To strengthen the ability of the SKYNET, simultaneous measurements with other instruments such as pyranometer, pyrgeometer, microwave radiometer, absorption meter, cloud camera, lidar, and MAX-DOAS are also conducted for some selected sites. These various data measured at each site are collected by a local computer and then transferred via the Internet to Center for Environmental Remote Sensing (CEReS) of Chiba University and National Institute for Environmental Studies (NIES) in real time and processed automatically. In addition, since the data are stored in the local computer first, this system works as the open system that data can be processed and analyzed by the observer as well. As a result, a solid collaborative framework has been formed to improve analysis softwares and enhance data analysis by the community. Considering the potential expansion of SKYNET, for instance, for upcoming satellite validation activities, we desire improved instrument and data handling systems to better use limited human and pecuniary resources. Such discussions are made in this talk, along with some new findings obtained from recent SKYNET activities.