Japan Geoscience Union Meeting 2022

Presentation information

[J] Poster

A (Atmospheric and Hydrospheric Sciences ) » A-CG Complex & General

[A-CG43] Science in the Arctic Region

Sun. May 29, 2022 11:00 AM - 1:00 PM Online Poster Zoom Room (11) (Ch.11)

convener:Jun Ono(JAMSTEC Japan Agency for Marine-Earth Science and Technology), convener:Tomoki Morozumi(Research Faculty of Agriculture, Hokkaido University), Rigen Shimada(Japan Aerospace Exploration Agency), convener:Masatake Hori(University of Tokyo, Atmosphere Ocean Research Institute), Chairperson:Jun Ono(Japan Agency for Marine-Earth Science and Technology)

11:00 AM - 1:00 PM

[ACG43-P04] Red snow distribubtion calcurated with a snow algae model on Harding Icefield in Alaska

*Nozomu Takeuchi1, Kaito Wada1 (1.Chiba University)

Keywords:snow algae, glacier, Alaska

Red snow is colored snow surface caused by blooms of photosynthetic microbes (snow algae) and occurs commonly on melting snowpacks and glaciers worldwide. As colored snow melt faster due to lower albedo, it is important to simulate their spatial and temporal variations on snowpacks or glaciers. A snow algae model is a simple numerical model to calculate snow algal growth on snow surface. In this study, we simulated red snow distribution on Harding Ice Field in Alaska using a snow algal model, local air temperature record, and digital elevation model and evaluated it with those obtained from satellite images. The model calculation revealed that the red snow surface appeared at the terminus area of outlet glaciers early summer, then expanded their distribution in the central part of the ice field. As compared with the red snow distribution derived from satellite images, the algal growth calculated by the model was slightly behind, suggesting that some of parameters of the model need to be adapted to this ice field.