日本地球惑星科学連合2025年大会

講演情報

[E] 口頭発表

セッション記号 A (大気水圏科学) » A-AS 大気科学・気象学・大気環境

[A-AS07] EarthCAREによる雲エアロゾル放射科学の幕開け

2025年5月30日(金) 10:45 〜 12:15 展示場特設会場 (5) (幕張メッセ国際展示場 7・8ホール)

コンビーナ:久保田 拓志(宇宙航空研究開発機構 地球観測研究センター)、岡本 創(九州大学)、佐藤 正樹(東京大学大気海洋研究所)、高橋 暢宏(名古屋大学 宇宙地球環境研究所)、座長:高橋 暢宏(名古屋大学 宇宙地球環境研究所)、久保田 拓志(宇宙航空研究開発機構 地球観測研究センター)


11:00 〜 11:15

[AAS07-08] Aerosol retrieval using the ATLID and MSI onboard EarthCARE

★Invited Papers

*西澤 智明1、工藤 玲2、及川 栄治2、日暮 明子1、神 慶孝1、杉本 伸夫1、佐藤 可織3、岡本 創3 (1.国立環境研究所、2.気象庁気象研究所、3.九州大学応用力学研究所)

キーワード:エアロゾル、ライダー、イメージャー、全球、エアロゾル種

EarthCARE is a Japan-Europe joint satellite observation mission for understanding the interaction between cloud, aerosol, and radiation processes in the earth climate. Four sensors of cloud profiling radar (CPR), multi-spectral imager (MSI), broadband radiometer (BBR), and high spectral resolution lidar (ATLID) are onboard the EarthCARE satellite. We have developed algorithms to estimate geophysical parameters of aerosols and clouds (JAXA ATLID level 2 standard products) from ATLID measurements to determine their global distribution. The algorithms estimate the following four products: (1) Layer identifiers such as aerosols, clouds, clear-skies, or surfaces, (2) Particle optical properties such as extinction, backscatter, and depolarization ratio at 355nm, (3) Particle type identifiers such as smoke, dust, warm-water, and 3-D ice, (4) Planetary boundary layer height. In addition, we have developed algorithms to estimate extinction coefficient of four aerosol components such as dust, sea-salt, carbonaceous, and water-soluble particles using only ATLID data or both ATLID and MSI data (JAXA ATLID level 2 research products). Prior to the development of the algorithm for ATLID, we have developed a similar aerosol component retrieval algorithm using CALIOP and MODIS data; this technique was introduced into the ATLID algorithm. Since the successful launch in May 2024, we have been comparing the ATLID products with ground-based lidar and other data. In this presentation, we will present the results of this initial comparison analysis and discuss future improvements to the ATLID algorithm. We will also introduce our global aerosol analysis using CALIOP, with a view to applying it to EarthCARE global aerosol data.