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-AS04] 大気の鉛直運動を基軸とした地球環境学の新展開

2025年5月30日(金) 10:45 〜 12:15 展示場特設会場 (4) (幕張メッセ国際展示場 7・8ホール)

コンビーナ:佐藤 正樹(東京大学大気海洋研究所)、佐藤 薫(東京大学 大学院理学系研究科 地球惑星科学専攻)、岡本 創(九州大学)、伊藤 純至(東北大学)、座長:佐藤 正樹(東京大学大気海洋研究所)、伊藤 純至(東北大学)

12:00 〜 12:15

[AAS04-06] ECOMIP: a new atmospheric model intercomparison project with validation data from EarthCARE and the ORCESTRA field campaig

*佐藤 正樹1,2Roh Woosub1、Hogan Robin3、Stevens Bjorn4 (1.東京大学大気海洋研究所、2.横浜国立大学台風科学技術研究センター、3. 欧州中期予報センター、4.マックスプランク気象研究所)

キーワード:EarthCARE、ORCESTRA、モデル比較実験、全球ストーム解像モデル

EarthCARE presents exciting new opportunities to evaluate and improve the representation of clouds, aerosols, precipitation, and radiation in atmospheric models at the scale of individual storms. To leverage these capabilities, we propose the EarthCARE-ORCHESTRA Model Intercomparison Project (ECOMIP), focusing on the ORCESTRA field campaign period from August 9 to September 29, 2024.
Our experimental design consists of evaluating models using EarthCARE data in both observation space—via satellite simulators (radar reflectivity, Doppler velocity, and lidar Mie and Rayleigh channels)—and model space, by comparing modeled radiative fluxes with observed retrievals of key variables such as water content, particle size, and precipitation rate.
We propose two types of experiments: (1) Short-term simulations: 2-day forecasts initialized daily from August 9 to September 29, 2024, with select days of special focus. These simulations will be directly compared to observations on the second day. (2) Long-term free runs: Continuous 2-month simulations (August–September 2024) evaluated statistically using contoured frequency by altitude diagrams (CFADs) and other diagnostics. Model output will be extracted both as a “curtain” along EarthCARE’s track and within a 3D domain over the central Atlantic, where the ORCESTRA campaign took place.
Currently, we are coordinating over 10 modeling groups interested in participating in ECOMIP. We welcome additional participants, including teams using global storm-resolving models (less than 5 km horizontal mesh scale), global weather and air-quality models, regional km-scale models, and conventional climate models.