MC 5501
Speaker
Prof. Andrea Scott (University of Waterloo)
Title
Fusing data for improved sea ice concentration estimates
Abstract
Passive microwave sensors are a valuable tool for monitoring sea ice concentration in the Arctic. However, data from these sensors are known to have biases for thin ice, can be inaccurate when there is significant atmospheric moisture and have a high uncertainty in the marginal ice zone. Fusing passive microwave data with other sources of data can lead to improved results. In this talk we will discuss different data types and data fusion strategies as well as ways to quantify the uncertainty in the fused results. The focus will be on demonstrating the effectiveness of these tools for monitoring the marginal ice zone.
This event is part of the NSERC CREATE-funded Quantitative Climate Science summer school. More information about this initiative can be found at https://qcs-create2024.github.io/