TY - JOUR
T1 - ICESat-2 Meltwater Depth Estimates
T2 - Application to Surface Melt on Amery Ice Shelf, East Antarctica
AU - Fricker, Helen Amanda
AU - Arndt, Philipp
AU - Brunt, Kelly M.
AU - Datta, Rajashree Tri
AU - Fair, Zachary
AU - Jasinski, Michael F.
AU - Kingslake, Jonathan
AU - Magruder, Lori A.
AU - Wouters, Bert
AU - More Authors, null
PY - 2021
Y1 - 2021
N2 - Surface melting occurs during summer on the Antarctic and Greenland ice sheets, but the volume of stored surface meltwater has been difficult to quantify due to a lack of accurate depth estimates. NASA's ICESat-2 laser altimeter brings a new capability: photons penetrate water and are reflected from both the water and the underlying ice; the difference provides a depth estimate. ICESat-2 sampled Amery Ice Shelf on January 2, 2019 and showed double returns from surface depressions, indicating meltwater. For four melt features, we compared depth estimates from eight algorithms: six based on ICESat-2 and two from coincident Landsat-8 and Sentinel-2 imagery. All algorithms successfully identified surface water at the same locations. Algorithms based on ICESat-2 produced the most accurate depths; the image-based algorithms underestimated depths (by 30%–70%). This implies that ICESat-2 depths can be used to tune image-based algorithms, moving us closer to quantifying stored meltwater volumes across Antarctica and Greenland.
AB - Surface melting occurs during summer on the Antarctic and Greenland ice sheets, but the volume of stored surface meltwater has been difficult to quantify due to a lack of accurate depth estimates. NASA's ICESat-2 laser altimeter brings a new capability: photons penetrate water and are reflected from both the water and the underlying ice; the difference provides a depth estimate. ICESat-2 sampled Amery Ice Shelf on January 2, 2019 and showed double returns from surface depressions, indicating meltwater. For four melt features, we compared depth estimates from eight algorithms: six based on ICESat-2 and two from coincident Landsat-8 and Sentinel-2 imagery. All algorithms successfully identified surface water at the same locations. Algorithms based on ICESat-2 produced the most accurate depths; the image-based algorithms underestimated depths (by 30%–70%). This implies that ICESat-2 depths can be used to tune image-based algorithms, moving us closer to quantifying stored meltwater volumes across Antarctica and Greenland.
KW - Antarctica
KW - Greenland
KW - ICESat-2
KW - ice shelves
KW - surface melt
UR - http://www.scopus.com/inward/record.url?scp=85105007529&partnerID=8YFLogxK
U2 - 10.1029/2020GL090550
DO - 10.1029/2020GL090550
M3 - Article
VL - 48
JO - Geophysical Research Letters
JF - Geophysical Research Letters
SN - 0094-8276
IS - 8
M1 - e2020GL090550
ER -