Uncertainty characterisation in ice-sheet mass balance estimates and intercomparisons ...

• Main Authors: Horwath, Martin, Rignot, Eric, Smith, Benjamin E., Schlegel, Nicole-Jeanne, Shepherd, Andrew, Ivins, Erik, Otosaka, Inès
• Format: Conference Object
• Language: unknown
• Published: GFZ German Research Centre for Geosciences 2023
• Subjects: Ice Sheet
• Online Access: https://dx.doi.org/10.57757/iugg23-3890; https://gfzpublic.gfz-potsdam.de/pubman/item/item_5020656

<!--!introduction!--> Ice-sheet mass balance is commonly estimated by the input output method, the altimetry method, the gravimetry method, or their combination. All of them are subject to uncertainties, e.g. due to limitations in sampling and resolution, residual calibration issues, and corrections from geophysical models involved. Error budgets have been built for each of them. Intercomparison exercises have been conducted to analyze residual uncertainties, to learn about the implications this may have on our understanding of physical processes controlling the mass balance, and to generate compound estimates. Here we review approaches and discussions on uncertainty characterization related to the Ice-sheet Mass Balance Intercomparison Exercise (IMBIE). We discuss the following problems: First, the target mass balance estimates embrace different temporal scales from monthly to multi-decadal, and embrace different mass balance representations, either as rates of mass change or as mass anomalies w.r.t. ... : The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) ...