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Reanalysis Surface Mass Balance of the Greenland Ice Sheet Along K‐Transect (2000–2014)
Author(s) -
Navari Mahdi,
Margulis Steven A.,
Tedesco Marco,
Fettweis Xavier,
Wal Roderik S. W.
Publication year - 2021
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2021gl094602
Subject(s) - greenland ice sheet , glacier mass balance , environmental science , albedo (alchemy) , snow , climatology , transect , remote sensing , atmospheric sciences , ice sheet , geology , meteorology , physical geography , glacier , oceanography , geography , art , performance art , art history
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%.