Lei Wang

and 1 more

The inevitable coarse pixels (~25 km) of satellite passive microwave images introduced large uncertainty to the surface melt area estimation on Antarctic ice margins. Our test showed that the melt index of the Austral year 2012-13 in the Antarctic Peninsula calculated from the high resolution product was 33% lower than the original Special Sensor Microwave/Imager (SSM/I) images. Therefore, by allowing for fractional melt estimation, a subpixel mapping method was adopted in this research to improve the accuracy and reliability of surface melt measurement from passive microwave images. This innovative method uses the least squares mixture analysis (LSMA) on the time series of daily passive microwave images by taking advantage of their high temporal resolution. The endmembers for the unmixing calculation were collected under the constraint of voronoi polygons. The fractional melt index of each pixel was calculated by multiplying its area with melt fraction. By using the high resolution passive microwave earth system data record (PMESDR) dataset as the reference, we found that compared with the original SSM/I images, the overestimation of surface melt was corrected by the unmixing analysis. A log-linear regression between melt fraction and elevation showed that the melt fraction is inversely correlated to the elevation, and the topography is the dominant factor for melt fraction distribution in high elevations. We recommend such a treatment of linear unmixing analysis on the passive microwave images to be used for future surface melt mapping in Antarctica and Greenland.

Shujie Wang

and 6 more

Rapid retreat of the Larsen A and B ice shelves has provided important clues about the ice shelf destabilization processes. The Larsen C Ice Shelf, the largest remaining ice shelf on the Antarctic Peninsula, may also be vulnerable to future collapse in a warming climate. Here, we utilize multi-source satellite images collected over 1963–2020 to derive multidecadal time series of ice front, flow velocities, and critical rift features over Larsen C, with the aim of understanding the controls on its retreat. We complement these observations with modeling experiments using the Ice-sheet and Sea-level System Model to examine how front geometry conditions and mechanical weakening due to rifts affect ice shelf dynamics. Over the past six decades, Larsen C lost over 20% of its area, dominated by rift-induced tabular iceberg calving. The Bawden Ice Rise and Gipps Ice Rise are critical areas for rift formation, through their impact on the longitudinal deviatoric stress field. Mechanical weakening around Gipps Ice Rise is found to be a primary control on localized flow acceleration, leading to the propagation of two rifts that caused a major calving event in 2017. Capturing the time-varying effects of rifts on ice rigidity in ice shelf models is essential for making realistic predictions of ice shelf flow dynamics and instability. In the context of the Larsen A and Larsen B collapses, we infer a chronology of destabilization processes for embayment-confined ice shelves, which provides a useful framework for understanding the historical and future destabilization of Antarctic ice shelves.