Greenland ice velocity maps from the PROMICE project

Solgaard, Anne; Kusk, Anders; Boncori, John Peter Merryman; Dall, Jørgen; Mankoff, Kenneth D.; Ahlstrøm, Andreas P.; Andersen, S. B.; Citterio, Michele; Karlsson, Nanna B.; Kjeldsen, Kristian K.; Korsgaard, Niels J.; Larsen, Signe Hillerup; Fausto, Robert S.

doi:10.5194/essd-2021-46

Cited by 15 publications

(49 citation statements)

References 2 publications

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“…Discharge across flux gates is derived with a 200 m spatial resolution grid, but then summed and provided at glacier resolution (Mankoff and Solgaard, 2020a). Temporal coverage begins in 1986 with a few velocity estimates, and is now updating each time a new velocity product is released, which is every~12 days with a~30 day lag (Solgaard et al, 2021) (data: Solgaard and Kusk ( 2021)). Some changes have been implemented since the last publication describing the marine mass balance product in detail (i.e., ).…”

Section: Marine Mass Balancementioning

confidence: 99%

“…The basal mass balance (BMB; Karlsson et al (2021)) comes from mass lost at the bed from geothermal flux (BMB GF ), frictional heating (BMB friction ) from the basal shear velocity, and viscous heat dissipation (BMB VHD ) from surface runoff routed to the bed (i.e. the volume of the subglacial conduits formed from surface runoff; Mankoff and Tulaczyk (2017)).…”

Section: Basal Mass Balancementioning

confidence: 99%

“…Different approaches have been employed to infer the value of the BMB GF often with diverging results (see e.g., Rogozhina et al (2012); Rezvanbehbahani et al (2019)). Lacking substantial validation that favours one BMB GF map over the others, Karlsson et al (2021) instead use the average of three widely used BMB GF estimates: Fox Maule et al ( 2009); Shapiro and Ritzwoller (2004), and Martos et al (2018). The BMB GF melt rate is calculated aṡ…”

Section: Geothermal Fluxmentioning

confidence: 99%

“…The term has only been measured in a handful of places (e.g., Ryser et al (2014); Maier et al (2019)) and it is unclear how representative those measurements are on ice-sheet scales. Karlsson et al (2021) therefore estimate the frictional heating using the Full Stokes Elmer/Ice model that resolves all stresses while relating basal sliding and shear stress using a linear friction law (Gillet-Chaulet et al, 2012;Maier et al, 2021 The model is tuned to match a multi-decadal surface velocity map (Joughin et al, 2018) covering 1995-2015 and it returns an estimated basal friction heat that is used to calculate the basal melt due to friction, similar to Eq. 1:…”

Section: Frictionmentioning

confidence: 99%

“…Finally, the IO method is the only one that can provide insight into the processes (how) by distinguishing between changes in mass gain (e.g., snowfall), and changes in mass loss terms (e.g., surface melting vs. calving). Our IO method is also the first IO product to include the basal mass balance (Karlsson et al, 2021) -a term implicitly included in the GMB and VC methods but neglected by all previous IO estimates.…”

Section: Introductionmentioning

confidence: 99%

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Greenland ice sheet mass balance from 1840 through next week

Mankoff¹,

Fettweis²,

Langen³

et al. 2021

Preprint

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Abstract. The mass of the Greenland ice sheet is declining as mass gain from snowfall is exceeded by mass loss from surface meltwater runoff, marine-terminating glacier calving and submarine melting, and basal melting. Here we use the input/output (IO) method to estimate mass change from 1840 through next week. Mass gains come from three regional climate models (RCMs; HIRHAM/HARMONIE, MAR, and RACMO) and a semi-empirical surface mass balance (SMB) model. Mass losses come from the RCMs, a statistical SMB model, ice discharge at marine terminating glaciers, and ice melted at the base of the ice sheet. From these products we provide an annual estimate of GIS mass balance from 1840 through 1985 and a daily estimate at sector and region scale from 1986 through next week. Compared to other mass balance estimates, this product updates daily, has higher temporal resolution, and is the first IO product to include the basal mass balance which is a source of an additional ~8 % mass loss. Our results demonstrate an accelerating GIS-scale mass loss and general agreement among six other products. Results from this study are available at https://dataverse01.geus.dk/privateurl.xhtml?token=d09976c4-4f89-43ef-8f91-173d269806a4 (Mankoff et al., 2021).

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Section: Marine Mass Balancementioning

confidence: 99%

Section: Basal Mass Balancementioning

confidence: 99%

Section: Geothermal Fluxmentioning

confidence: 99%

Section: Frictionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Greenland ice sheet mass balance from 1840 through next week

Mankoff¹,

Fettweis²,

Langen³

et al. 2021

Preprint

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Wintertime lake drainage cascade triggers large-scale ice flow response in Greenland

Maier

Andersen

Mouginot

et al. 2022

Preprint

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Surface melt forces summertime ice-flow accelerations on glaciers and ice sheets. Here, we show that large meltwater-forced accelerations also occur in winter in Greenland. We document supraglacial lakes (SGLs) draining in cascades at unusually high elevation, causing an expansive flow acceleration over a ˜5200 km 2 region during winter. The 3-component interferometric surface velocity field and decomposition modeling reveals the underlying flood propagation with unprecedented detail as it traveled over 160 km from the drainage site to the margin, providing novel constraints on subglacial water pathways, drainage morphology, and links with basal sliding. The triggering SGLs continuously grew over 40 years and suddenly released decades of stored meltwater into regions of the bed never previously forced, demonstrating surface melt can impact dynamics well beyond its production. We show these events are common and thus their cumulative impact on dynamics should be further evaluated.

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Greenland ice-sheet wide glacier classification based on two distinct seasonal ice velocity behaviors

et al. 2021

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Greenland glaciers exhibit variable seasonal velocity signals that may reflect differences in subglacial hydrology. Here, we conduct a first GrIS-wide glacier classification based on seasonal velocity patterns derived from 2017 Sentinel-1 radar data. Our classification focuses on two distinct seasonal ice velocity patterns, with the first (type-2 from Moon and others, 2014) showing periods of both speedup and slowdown during the melt season, and the second (type-3) instead showing a longer period of slowdown from elevated velocities in the winter and spring. We analyze 221 glaciers in 2017 and show that 48 exhibit type-2 behavior, and 72 exhibit type-3 behavior. We extend the classification to 2018 and 2019 and find that while the glaciers meeting each criterion vary year to year, type-2 is consistently more common in the northern regions and type-3 is more common in the south. Our results highlight the varied impact of meltwater on subglacial drainage systems and glacier flow in Greenland.

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Greenland ice velocity maps from the PROMICE project

Cited by 15 publications

References 2 publications

Greenland ice sheet mass balance from 1840 through next week

Greenland ice sheet mass balance from 1840 through next week

Wintertime lake drainage cascade triggers large-scale ice flow response in Greenland

Greenland ice-sheet wide glacier classification based on two distinct seasonal ice velocity behaviors

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