Reanalysis Surface Mass Balance of the Greenland Ice Sheet along K-transect (2000-2014)

peer reviewed 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 measurement, modeling,...

Full description

Bibliographic Details
Published in:Geophysical Research Letters
Main Authors: Navari, M., Margulis, S., Tedesco, M., Fettweis, Xavier, van de wal, R.
Other Authors: Sphères - SPHERES
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2021
Subjects:
Physical
chemical
mathematical & earth Sciences
Earth sciences & physical geography
Physique
chimie
mathématiques & sciences de la terre
Sciences de la terre & géographie physique
Greenland
Ice Sheet
Online Access:https://orbi.uliege.be/handle/2268/262717
https://doi.org/10.1029/2021GL094602
Description
Summary:peer reviewed 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 measurement, 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 (RMSE) of the posterior estimates of SMB by 51% and reduces bias by 95%.

Similar Items