Melt Ponds on Arctic Summer Sea Ice from Optical Satellite Data ...

• Published in: Geophysical Research Letters
• Main Author: Niehaus, Hannah
• Format: Thesis
• Language: English
• Published: Universität Bremen 2024
• Subjects: Arctic; Sea Ice; Melt Ponds; Retrieval Algorithm; Remote Sensing; Satellite Observations; 530; albedo; Sea ice
• Online Access: https://dx.doi.org/10.26092/elib/3078; https://media.suub.uni-bremen.de/handle/elib/8044

The presence of melt ponds on Arctic summer sea ice strongly alters the absorption of solar radiation by the sea ice-ocean system and thereby the Arctic energy budget. Therefore, melt ponds are key to the positive sea ice-albedo feedback, which is one of the main drivers of the amplified Arctic warming observed in recent decades, and even affects the global climate. To analyze the mechanisms of melt pond evolution and their implications on the sea ice state, and to improve their representation in climate models, comprehensive observational data are needed. This dissertation presents a new approach to retrieve melt pond, sea ice and open ocean fractions at pan-Arctic scales from Sentinel-3 optical satellite data. The newly developed Melt Pond Detection 2 (MPD2) algorithm is the first fully physical retrieval that can distinguish these three surface types at the spatial resolution of 1.2 km. Because multiple combinations of surface type fractions result in similar observations at this coarse resolution, prior ...