Abstract. Surface melting is a major component of the Greenland ice
sheet surface mass balance, and it affects sea level rise through direct runoff
and the modulation of ice dynamics and hydrological processes,
supraglacially, englacially and subglacially. Passive microwave (PMW)
brightness temperature observations are of paramount importance in studying
the spatial and temporal evolution of surface melting due to their long
temporal coverage (1979–present) and high temporal resolution (daily).
However, a major limitation of PMW datasets has been the relatively coarse
spatial resolution, which has historically been of the order of tens of kilometers.
Here, we use a newly released PMW dataset (37 GHz, horizontal polarization)
made available through a NASA “Making Earth System Data Records for Use in
Research Environments” (MeASUREs) program to study the spatiotemporal
evolution of surface melting over the Greenland ice sheet at an enhanced
spatial resolution of 3.125 km. We assess the outputs of different detection
algorithms using data collected by automatic weather stations (AWSs) and
the outputs of the Modèle Atmosphérique Régional (MAR) regional climate model. We found that sporadic
melting is well captured using a dynamic algorithm based on the outputs of
the Microwave Emission Model of Layered Snowpack (MEMLS), whereas a fixed
threshold of 245 K is capable of detecting persistent melt. Our results
indicate that, during the reference period from 1979 to 2019 (from 1988 to 2019),
surface melting over the ice sheet increased in terms of both duration, up
to 4.5 (2.9) d per decade, and extension, up to 6.9 % (3.6 %) of the
entire ice sheet surface extent per decade, according to the MEMLS
algorithm. Furthermore, the melting season started up to 4.0 (2.5) d
earlier and ended 7.0 (3.9) d later per decade. We also explored the
information content of the enhanced-resolution dataset with respect to the
one at 25 km and MAR outputs using a semi-variogram approach. We found
that the enhanced product is more sensitive to local-scale processes, thereby
confirming the potential of this new enhanced product for monitoring surface
melting over Greenland at a higher spatial resolution than the historical
products and for monitoring its impact on sea level rise. This offers the
opportunity to improve our understanding of the processes driving melting,
to validate modeled melt extent at high resolution and, potentially, to
assimilate these data in climate models.