Ocean, Cryosphere and Sea Level Change

doi:10.1017/9781009157896.011

Cited by 180 publications

(59 citation statements)

References 992 publications

(1,611 reference statements)

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“…All current retrieval techniques operate on the assumption that Ku-band radar waves travel through the overlying snow and return to the detector from the snow-ice interface. However, in its latest assessment report, the IPCC attributed a low confidence in sea ice thickness changes over the satellite period to "snow-induced uncertainties in the retrieval algorithms" (Fox-Kemper et al, 2021, p. 1251.…”

mentioning

confidence: 99%

Synoptic Variability in Satellite Altimeter‐Derived Radar Freeboard of Arctic Sea Ice

Nab

Mallett

Gregory

et al. 2023

Geophysical Research Letters

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The Arctic's sea ice cover is retreating as the region continues to warm at nearly four times the global average rate (Rantanen et al., 2022). Alongside a decrease in extent and age (Stroeve & Notz, 2018), the sea ice is thinning (Kwok, 2018;Mallett et al., 2021) and snow depth is declining (Stroeve et al., 2020;Webster et al., 2014). A thinning ice pack affects the thermodynamic processes that govern seasonal ice melt and growth, as well as the dynamic processes that control ice mobility (e.g., Rampal et al., 2009). Assimilation of accurate sea ice thickness and snow depth data into models offers an opportunity to improve the prediction of future sea ice state (e.g., Holland et al., 2021;Mignac et al., 2022). Despite the importance of sea ice thickness, the most accurate estimates come from highly localized in situ observations from autonomous ice-buoys or upward-looking sonar instruments. While airborne-or submarine-based campaigns offer greater spatial coverage, they too remain temporally and spatially constrained. Satellite-mounted laser and radar altimeters offer a potential solution by providing year-round, pan-Arctic monitoring.Several studies have demonstrated an approach to convert Ku-band satellite radar altimeter freeboards from CryoSat-2 (CS2) and Sentinel-3 (S3) to sea ice thickness (Lawrence et al., 2019;Laxon et al., 2013). Sea ice freeboard, the height of the snow-ice interface relative to the surrounding ocean surface, is estimated from the return-time of a radar pulse. Thickness can be derived from the freeboard by applying the assumption of hydrostatic equilibrium together with assumptions concerning the snow, ice and water densities and the snow depth.

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confidence: 99%

Synoptic Variability in Satellite Altimeter‐Derived Radar Freeboard of Arctic Sea Ice

Nab

Mallett

Gregory

et al. 2023

Geophysical Research Letters

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“…Both the AR5 and SROCC reports utilized a baseline period of 1986-2005, whereas the latest 6th Assessment Report (AR6) by IPCC considered an updated baseline period of 1995-2014(Fox-Kemper et al, 2021. The AR6 report analyzed five carbon emission scenarios, called Shared Socioeconomic Pathways (SSPs), to predict sea level rise due to anthropogenic drivers of climate change.…”

Section: Introductionmentioning

confidence: 99%

“…The SSP5-8.5, SSP3-7.0, and SSP2-4.5 scenarios represent very high, high, moderate and current levels until midcentury of greenhouse gas (GHG) emissions. The SSP1-1.9 and SSP1-2.6 scenarios represent very low and low GHG emissions which decline to net zero around 2050 followed by net negative emissions (Fox-Kemper et al, 2021). Table 1 lists the median values and 5-95 percentile ranges for these five scenarios.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we consider all five SSP scenarios in the IPCC 6th Assessment Report to analyze how uncertainty in sea level rise influences uncertainty in maximum tidal elevation at Tiger Point, Char Purulia, and Sandwip, in the Meghna estuary, Bangladesh. It should be noted that none of the IPCC reports considered land subsidence in projections of GMSL because of the high dependence on local conditions (Church et al, 2013;Fox-Kemper et al, 2021;Oppenheimer et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Characterization of uncertainty in maximum tidal elevation near Bangladesh coastline due to uncertain sea level rise

Sarwar

Borthwick

2023

J Flood Risk Management

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The Ganges‐Brahmaputra‐Meghna delta is vulnerable to sea level rise from global warming. Based on sea level rise predictions for the year 2100 given in the 6th Assessment Report by the Intergovernmental Panel on Climate Change (IPCC), we examine the effect of uncertainty in sea level rise on maximum tidal elevation statistics at several locations along the Bangladesh coastline using a discretized derived distribution approach. For five IPCC scenarios, the standard deviation in maximum tidal elevation including sea level rise is predicted to increase by between 3% and 61% at three different locations for a 41% increase in the standard deviation of mean sea level rise. By excluding the linear effect of sea level rise, the increase in the standard deviation of maximum tidal elevation is found to vary spatially from 2% to 68% with a 41% increase in the standard deviation of sea level rise.

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“…

Global sea levels are projected to increase by 0.46-1.89 m by 2100 (Fox-Kemper et al, 2021). Sea level rise (SLR) will substantially increase both the frequency and intensity of extreme coastal events (i.e., energetic waves, high spring tides, and storm surge) interacting with infrastructure (Cayan et al, 2008;Heberger et al, 2009;Mastrandrea & Luers, 2012).

…”

mentioning

confidence: 99%

A Numerical Study of Dam‐Break Driven Swash and Beach Groundwater Interactions

Delisle,

Kim,

Gallien

2023

JGR Oceans

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The dynamic interaction between swash and beach groundwater is fundamental to understanding wave runup and sediment transport processes. A numerical model that simultaneously resolves free surface and porous media flow for a variably saturated subsurface is presented. The novel numerical model, SedOlaFlow, is developed by merging the existing two‐phase, Eulerian sediment transport model, SedWaveFoam, with the surface wave solver, olaFlow. SedOlaFlow is validated with large wave flume surface and subsurface data for dam‐break driven swash over permeable gravel and sand beaches. Sediment size significantly impacts the swash‐groundwater relationship through infiltration/exfiltration and subsurface processes which modulate runup. Model results demonstrate that vertical infiltration into the upper unsaturated beach leads to a delayed groundwater table response to swash in the sand beach. Pressure fluctuations in the sand beach are not directly indicative of the swash depth or groundwater table and exfiltration may occur even when the swash depth is non‐zero. Groundwater circulation induced by a single swash event is non‐uniform and highly dynamic in the variably saturated vadose zone. Elevated ambient groundwater levels generally increase swash extent and duration. These findings establish the existence of a bi‐directional relationship between swash and groundwater flows and have significant implications on the effects of sea level rise on coastal flooding.

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Ocean, Cryosphere and Sea Level Change

Cited by 180 publications

References 992 publications

Synoptic Variability in Satellite Altimeter‐Derived Radar Freeboard of Arctic Sea Ice

Synoptic Variability in Satellite Altimeter‐Derived Radar Freeboard of Arctic Sea Ice

Characterization of uncertainty in maximum tidal elevation near Bangladesh coastline due to uncertain sea level rise

A Numerical Study of Dam‐Break Driven Swash and Beach Groundwater Interactions

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