2022
DOI: 10.5194/tc-2022-118
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Characteristics of the contemporary Antarctic firn layer simulated with IMAU-FDM v1.2A (1979–2020)

Abstract: Abstract. Firn simulations are essential for understanding Antarctic ice sheet mass change as they enable us to convert satellite altimetry observed volume changes to mass changes, and to quantify the meltwater buffering capacity of firn. Here, we present and evaluate a simulation of the contemporary Antarctic firn layer using the updated semi-empirical firn model IMAU-FDM for the period 1979–2020. In IMAU-FDM, we have improved the fresh snow density and firn compaction parameterizations, and used improved 5 a… Show more

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Cited by 14 publications
(17 citation statements)
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“…To vary the reference REMA ice surface, we use time-varying ice equivalent thinning rates from 1985 to 2020 derived from a constellation of satellite missions ( 94 ), smoothed with a 5-year boxcar filter, assuming that the REMA DEM is time-stamped to 9 May 2015 ( 93 ). Ice equivalent thickness is estimated at each velocity epoch by removing a time-varying firn air content, provided by the Institute for Marine and Atmospheric research Utrecht IMAU firn densification model ( 95 , 96 ), forced by RACMO2.3p2 ( 62 ). The total grounding line discharge at each ice shelf is estimated by integrating the pixel-based discharge estimate for all flux gate pixels for that ice shelf.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…To vary the reference REMA ice surface, we use time-varying ice equivalent thinning rates from 1985 to 2020 derived from a constellation of satellite missions ( 94 ), smoothed with a 5-year boxcar filter, assuming that the REMA DEM is time-stamped to 9 May 2015 ( 93 ). Ice equivalent thickness is estimated at each velocity epoch by removing a time-varying firn air content, provided by the Institute for Marine and Atmospheric research Utrecht IMAU firn densification model ( 95 , 96 ), forced by RACMO2.3p2 ( 62 ). The total grounding line discharge at each ice shelf is estimated by integrating the pixel-based discharge estimate for all flux gate pixels for that ice shelf.…”
Section: Methodsmentioning
confidence: 99%
“…The method to derive time series of basal melt rates from CryoSat-2 from 2010 to 2020 follows the mass conservation approach described in ( 32 ). The monthly elevation change is generated from swath-processed CryoSat-2 radar altimetry ( 60 , 61 ), the ice shelf mask and ice shelf thickness are from BedMachine Antarctica ( 79 ), the ice velocity is an ITS_LIVE composite ( 99 ), and the SMB and firn air content are from RACMO2.3p2 ( 62 ) and the IMAU firn densification model ( 95 , 96 ), respectively. For the melt time series, we consider time evolution in ice shelf extent, ice shelf thickness, SMB, and firn air content; during the CryoSat period, changes in ice divergence are negligible.…”
Section: Methodsmentioning
confidence: 99%
“…13). Ice-equivalent thickness is estimated at each velocity epoch by removing a time-varying firn air content, provided by the IMAU Firn Densification Model 98,99 , forced by RACMO2.3p2 54 (Supplementary Fig. 14).…”
Section: Grounding Line Discharge and Ice Velocitymentioning
confidence: 99%
“…( 2)). Estimates of firn air content are obtained from the 27 km resolution IMAU-FDM v1.2A (Veldhuijsen et al, 2022) on a 10-daily basis. The IMAU-FDM is forced with climate data from RACMO which is why they share the same resolution.…”
Section: Firn Air Contentmentioning
confidence: 99%