日本地球惑星科学連合2021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-CG 大気海洋・環境科学複合領域・一般

[A-CG36] 衛星による地球環境観測

2021年6月3日(木) 13:45 〜 15:15 Ch.08 (Zoom会場08)

コンビーナ:沖 理子(宇宙航空研究開発機構)、本多 嘉明(千葉大学環境リモートセンシング研究センター)、高薮 縁(東京大学 大気海洋研究所)、松永 恒雄(国立環境研究所地球環境研究センター/衛星観測センター)、座長:岡本 幸三(気象研究所)、三好 建正(理化学研究所)

14:00 〜 14:15

[ACG36-14] Enhancement of Integrated Satellite Simulators for Data Assimilation

*幾田 泰酵1 (1.気象庁気象研究所)

キーワード:GPM、DPR、データ同化

In order to data assimilate the GPM/DPR, it is necessary to simulate the KuPR and KaPR from the results of the forecast model and compare them with the observation. The accuracy of the DPR simulation is directly related to the accuracy of data assimilation. To improve the accuracy of data assimilation, we enhanced the Integrated Satellite Simulators (I-Simulator). The I-Simulator is based on the radar simulator used for DPR data assimilation in the Meso-scale Analysis at JMA. In addition, it can also simulate microwaves using RTTOV-SCATT, and it is also possible to simulate ground-based radar.

In this study, the DPR is simulated using the predictions of the Meso-Scale Model at JMA. The hydrometeors of targets to simulate are cloud water, rain, cloud ice, snow, and graupel. The particles of snow and cloud ice are assumed to be non-spherical particles. The attenuation by the hydrometeors is taken into account in the calculation of the reflectivity. The observation error characteristics are discussed by comparing the simulation and the observation. We will show not only the observation error characteristics of KuPR and KaPR, but also the error characteristics of DFRm, which includes the outer swath KaPR in DPR-L2 V06X. The effects of DPR data assimilation expected from the Jacobian of the observation operator will be shown in the presentation.