日本地球惑星科学連合2022年大会

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[E] ポスター発表

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-AS02] 大気の鉛直運動を基軸とした地球環境学の新展開

2022年5月30日(月) 11:00 〜 13:00 オンラインポスターZoom会場 (6) (Ch.06)

コンビーナ:佐藤 正樹(東京大学大気海洋研究所)、コンビーナ: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)、コンビーナ:丹羽 洋介(国立環境研究所)、座長: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)、丹羽 洋介(国立環境研究所)

11:00 〜 13:00

[AAS02-P02] Vertical winds recovered from high time-resolution multiple-Doppler wind synthesis

*山田 芳則1牛尾 知雄2佐藤 晋介3 (1.叡啓大学、2.大阪大学、3.情報通信研究機構 電磁波研究所 電磁波伝搬研究センター)

キーワード:デュアルフェーズドアレイレーダー解析、MUSCAT法による複雑地形上の高時間解像度の3次元風解析、dual-PAWR解析と高解像度数値モデル結果の鉛直流の相互比較

1. Introduction
Vertical motions in the atmosphere are closely related to the activity of clouds, and cloud-related natural hazards, and so on. Regardless of their importance, their actual condition, however, still remains unknown because the difficulties in the direct reliable measurements. Past determination of vertical winds in precipitation systems have been mostly relied on the conventional multiple-Doppler radar analysis (e.g., Ray et al. 1980). A more advancing method called MUSCAT (Bousquet and Chong 1998; Chong and Bousquet 2001) significantly improved the accuracy in the determined wind components, especially in the vertical winds, by overcoming the deficiencies in the conventional approach. The discrepancies of the MUSCAT-derived vertical wind components from the true values are not clear yet.
Apart from the Doppler radar analysis, numerical simulations of convective clouds can be made at high spatial resolutions. For example, Ito et al. (2021) has conducted idealized experiments with horizontal spacings down to 100 m for a case of torrential rainfall. It is uncertain that whether the magnitudes of the simulated vertical velocities in their study really occurred in clouds. More studies are indispensable to understand the vertical winds in the atmosphere. This paper presents the vertical winds at 30-second intervals derived from dual phased array weather radar (PAWR) Doppler radar analysis.

2. Wind recovery from dual-PAWR analysis
Three-dimensional wind retrieval at 30-second time resolution was made by employing MUSCAT permitting to the analysis over a complex terrain (e.g., Chong and Cosma 2000). The data fit form proposed by Yamada (2013) was adopted. The horizontal and vertical resolutions are set equal to 0.5 km and 0.3 km, respectively, with the lowest height of 0.3 km above sea surface. The orography data was made by the digital elevation model (10m grid) provided by the Geospatial Information Authority of Japan so that its spatial resolution is consistent with that of the wind recovery.

3. Time change in the updrafts in the updraft core
Figure 1 indicates time change in the mean updrafts (downdrafts) in an updraft (downdraft) core for a relatively active convective clouds occurred on Aug. 29, 2019 over and around the Osaka Bay, Japan. The mean values are computed using five values from the largest at each height. It is apparent that their time evolution is quite rapid. In addition, The magnitude of updrafts and downdrafts are comparable. Large downdrafts ware analyzed in the cloud.
Second example comes from a precipitation system of relatively weak convective activity passed over the Osaka Bay on Jul. 11, 2019. An excellent reproducibility of this precipitation system by the non-hydrostatic model of the Japan Meteorological Agency with the same horizontal resolution as that of the wind restitution gave an good opportunity for an inter-comparison of radar- and model-derived vertical winds over the sea. The 0.5-km resolution model was conducted, using the nesting technique, by a subsequent execution of a 5-km and 2-km resolution models. Since the heights of the wind recovery and the model do not usually coincide, the vertical winds from the two results were compared at the nearest proximity heights. It was found that the magnitudes and the occurrence frequencies were similar for updrafts and downdrafts (Fig. 2).

4. Summary
It appears necessary to accumulate dual-PAWR analysis and to make mutual comparisons among vertical winds derived and estimated by various methods to advance the knowledge of vertical winds.

Acknowledgements
This research is supported by JSPS KAKENHI Grant Number JP19H00815 for the project entitled "Clarification of generating mechanisms of cloud-related severe phenomena over diverse surfaces by advanced methods and the improvement of their short-range forecasts".