日本地球惑星科学連合2024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-AS01] 大気の鉛直運動を基軸とした地球環境学の新展開

2024年5月28日(火) 10:45 〜 12:00 104 (幕張メッセ国際会議場)

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)、岡本 創(九州大学)

11:45 〜 12:00

[AAS01-05] The Land-Ocean Contrasts in Deep Convective Cloud Intensity Using Global Satellite Observations and DYAMOND simulations

★Invited Papers

*Hanii Takahashi1、ZHENGZHAO Johnny Luo2、Graeme Stephens 1、Longtao Wu1、Mark Smalley1 (1.NASA Jet Propulsion Laboratory、2.CUNY City College of New York )

キーワード:CloudSat, DYAMOND, Convective processes , Convective Dynamics

Vertical mass transport by convective updrafts is critically important since it effectively controls the energy budgets and hydrological cycles. For vertical transport, the primary center of action is the convective core, and one of the key processes that affects the convective core is entrainment because entrainment dilutes the strength of convective updraft cores and weakens the intensity of vertical transport. Since the 1960s, an inverse correlation between entrainment rate (λ) and convective core size (R) has been adopted as a cornerstone of cumulus cloud modeling. However, it has never been systematically explored with global satellite observations. To this end, this study revisits the λ-R relation using multiple years of A-Train observations. Our results show that the inverse relationship is robust. Further, our analysis shows that continental convective clouds tend to have smaller λ and larger R compared to oceanic convective clouds, suggesting that vertical mass transport by continental convection is more efficient. So, what are the causes of these land-ocean contrasts in convective cloud characters? To investigate this, we first use multiple years of global satellite observations of clouds to examine relations among various convective cloud characters and their environments. Second, in light of numerous previous work that often focused on one aspect of the problem at a time, this current study seeks to combine all the aforementioned factors, including both environmental parameters (such as LCL and CAPE) and convective cloud properties (such as convective intensity, core width and entrainment rate), in a single analysis framework. Finally, we compare DYAMOND simulations to explore how climate models represent the land-ocean contrasts in deep convection. Our goal is to elucidate the interconnections among these different factors to come up with a more complete explanation of the land-ocean contrasts in convection.