16:15 〜 16:30
[AOS15-04] Is the high droplet number density of late spring Arctic water clouds an indication of snow/ice algae – cloud – Arctic melting feedback?
キーワード：Arctic ice algal bloom, cloud microphysics, feedback, lidar measurements, CALIPSO
Water cloud droplet number density, Nd, together with other cloud microphysical properties such as liquid water content, can be accurately estimated from CALIPSO measurements (Hu et al., 2021, https://www.frontiersin.org/articles/10.3389/frsen.2021.724615/full ) from 2006 to 2023.
One interesting findings from the new droplet number density statistics is the huge Nd values of boundary layer clouds in the springtime Arctic. Comparing Nd with chlorophyll biomass of snow/ice algae calculated from high resolution Arctic models, we found excellent spatial/temporal correlations between the two. I will introduce the lidar measurements of water cloud microphysical properties, the spatial and temporal correlation between the cloud properties and ice algal biomass, and a hypothesis of a positive feedback mechanism of springtime Arctic snow/ice algae, biological aerosols and Arctic clouds.
I will also introduce the ongoing ICESAT-2 data analysis of snow properties (Hu et al., 2022, https://www.frontiersin.org/articles/10.3389/frsen.2022.855159/abstract ) and the sea-ice cover that may help evaluate the atmosphere, snow/ice and springtime ice algal bloom feedback mechanisms.
One interesting findings from the new droplet number density statistics is the huge Nd values of boundary layer clouds in the springtime Arctic. Comparing Nd with chlorophyll biomass of snow/ice algae calculated from high resolution Arctic models, we found excellent spatial/temporal correlations between the two. I will introduce the lidar measurements of water cloud microphysical properties, the spatial and temporal correlation between the cloud properties and ice algal biomass, and a hypothesis of a positive feedback mechanism of springtime Arctic snow/ice algae, biological aerosols and Arctic clouds.
I will also introduce the ongoing ICESAT-2 data analysis of snow properties (Hu et al., 2022, https://www.frontiersin.org/articles/10.3389/frsen.2022.855159/abstract ) and the sea-ice cover that may help evaluate the atmosphere, snow/ice and springtime ice algal bloom feedback mechanisms.