Reanalysis Surface Mass Balance of the Greenland Ice Sheet Along K-Transect (2000–2014)

Accurate estimates of surface mass balance over the Greenland ice sheet (GrIS) would contribute to understanding the cause of recent changes and would help to better estimate the future contribution of the GrIS to sea-level rise. Given the limitations of in-situ measurements, modeling, and remote se...

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Bibliographic Details
Main Authors: Navari, Mahdi, Margulis, Steven A., Tedesco, Marco, Fettweis, Xavier, van de Wal, Roderik S.W.
Other Authors: Sub Dynamics Meteorology, Proceskunde, Sub Algemeen Marine & Atmospheric Res
Language:English
Published: 2021
Subjects:
Online Access:https://dspace.library.uu.nl/handle/1874/413025
Description
Summary:Accurate estimates of surface mass balance over the Greenland ice sheet (GrIS) would contribute to understanding the cause of recent changes and would help to better estimate the future contribution of the GrIS to sea-level rise. Given the limitations of in-situ measurements, modeling, and remote sensing, it is critical to explore the opportunity to merge the available data to better characterize the spatial and temporal variation of the GrIS surface mass balance (SMB). This work utilizes a particle batch smoother data assimilation technique that yields SMB estimates that benefit from the snow model Crocus and a 16-day albedo product derived from satellite remote sensing data. Comparison of the results against in-situ SMB measurements shows that the assimilation of the albedo product reduces the root mean square error of the posterior estimates of SMB by 51% and reduces bias by 95%.