scholarly journals Correlation Analysis between Sea-level Change of China's Coastal Areas and the Mass Change of Antarctic Ice Caps

2013 ◽  
Author(s):  
Shi Yingjie ◽  
Wang Weian ◽  
Chen Wen
Keyword(s):  
Correlation Analysis ◽  
Sea Level ◽  
Sea Level Change ◽  
Coastal Areas ◽  
Mass Change ◽  
Ice Caps ◽  
Level Change

Volume–area scaling parameterisation of Norwegian ice caps: A comparison of different approaches

The Holocene ◽  
2016 ◽  
Vol 27 (1) ◽  
pp. 164-171 ◽  
Author(s):  
Tron Laumann ◽  
Atle Nesje
Keyword(s):  
Water Resources ◽  
Sea Level Rise ◽  
Sea Level ◽  
Sea Level Change ◽  
Global Scale ◽  
Two Dimensional ◽  
Ice Caps ◽  
Level Change ◽  
Global Sea Level ◽  
Best Fit

Over the recent decades, glaciers have in general continued to lose mass, causing surface lowering, volume reduction and frontal retreat, thus contributing to global sea-level rise. When making assessments of present and future sea-level change and management of water resources in glaciated catchments, precise estimates of glacier volume are important. The glacier volume cannot be measured on every single glacier. Therefore, the global glacier volume must be estimated from models or scaling approaches. Volume–area scaling is mostly applied for estimating volumes of glaciers and ice caps on a regional and global scale by using a statistical–theoretical relationship between glacier volume ( V) and area ( A) ( V =  cAγ) (for explanation of the parameters c and γ, see Eq. 1). In this paper, a two-dimensional (2D) glacier model has been applied on four Norwegian ice caps (Hardangerjøkulen, Nordre Folgefonna, Spørteggbreen and Vestre Svartisen) in order to obtain values for the volume–area relationship on ice caps. The curve obtained for valley glaciers gives the best fit to the smallest plateau glaciers when c = 0.027 km3−2 γ and γ = 1.375, and a slightly poorer fit when the glacier increases in size. For ice caps, c = 0.056 km3−2 γ and γ = 1.25 fit reasonably well for the largest, but yield less fit to the smaller.

scholarly journals An assessment of uncertainties in using volume-area modelling for computing the twenty-first century glacier contribution to sea-level change

2011 ◽  
Vol 5 (3) ◽  
pp. 1655-1695 ◽  
Author(s):  
A. B. A. Slangen ◽  
R. S. W. van de Wal
Keyword(s):  
Mass Balance ◽  
Sea Level ◽  
Climate Models ◽  
Climate Model ◽  
Sea Level Change ◽  
Total Uncertainty ◽  
Ice Caps ◽  
Level Change ◽  
Initial Volume ◽  
Temperature And Precipitation

Abstract. A large part of present-day sea-level change is formed by the melt of glaciers and ice caps (GIC). This study focuses on the uncertainties in the calculation of the GIC contribution on a century timescale. The model used is based on volume-area scaling, combined with the mass balance sensitivity of the GIC. We assess different aspects that contribute to the uncertainty in the prediction of the contribution of GIC to future sea-level rise, such as (1) the volume-area scaling method (scaling constant), (2) the choice of glacier inventory, (3) the imbalance of glaciers with climate, (4) the mass balance sensitivity, and (5) the climate models. Additionally, a comparison of the model results to the 20th century GIC contribution is presented. We find that small variations in the scaling constant cause significant variations in the initial volume of the glaciers, but only limited variations in the glacier volume change. If two existing glacier inventories are tuned such that the initial volume is the same, the GIC sea-level contribution over 100 yr differs by 0.027 m. It appears that the mass balance sensitivity is also important: variations of 20 % in the mass balance sensitivity have an impact of 17 % on the resulting sea-level projections. Another important factor is the choice of the climate model, as the GIC contribution to sea-level change largely depends on the temperature and precipitation taken from climate models. Combining all the uncertainties examined in this study leads to a total uncertainty of 4.5 cm or 30 % in the GIC contribution to global mean sea level. Reducing the variance in the climate models and improving the glacier inventories will significantly reduce the uncertainty in calculating the GIC contributions, and are therefore crucial actions to improve future sea-level projections.

scholarly journals Observation-Based Estimates of Global Glacier Mass Change and Its Contribution to Sea-Level Change

2016 ◽  
Vol 38 (1) ◽  
pp. 105-130 ◽  
Author(s):  
B. Marzeion ◽  
N. Champollion ◽  
W. Haeberli ◽  
K. Langley ◽  
P. Leclercq ◽  
...  
Keyword(s):  
Sea Level ◽  
Sea Level Change ◽  
Mass Change ◽  
Level Change

Global sea-level and ocean-mass budgets using advanced data products and uncertainty characterisation

2021 ◽  
Author(s):  
Martin Horwath ◽  
Anny Cazenave ◽  
Keyword(s):  
Time Series ◽  
Sea Level ◽  
Satellite Altimetry ◽  
Sea Level Change ◽  
Mass Change ◽  
Level Change ◽  
Ocean Mass ◽  
Global Mean Sea Level ◽  
Global Sea Level ◽  
Global Mean

<p>Studies of the global sea-level budget (SLB) and ocean-mass budget (OMB) are essential to assess the reliability of our knowledge of sea-level change and its contributors. The SLB is considered closed if the observed sea-level change agrees with the sum of independently assessed steric and mass contributions. The OMB is considered closed if the observed ocean-mass change is compatible with the sum of assessed mass contributions. </p><p>Here we present results from the Sea-Level Budget Closure (SLBC_cci) project conducted in the framework of ESA’s Climate Change Initiative (CCI). We used data products from CCI projects as well as newly-developed products based on CCI products and on additional data sources. Our focus on products developed in the same framework allowed us to exercise a consistent uncertainty characterisation and its propagation to the budget closure analyses, where the SLB and the OMB are assessed simultaneously. </p><p>We present time series of global mean sea-level changes from satellite altimetry; new time series of the global mean steric component generated from Argo drifter data with incorporation of sea surface temperature data; time series of ocean-mass change derived from GRACE satellite gravimetry; time series of global glacier mass change from a global glacier model; time series of mass changes of the Greenland Ice Sheet and the Antarctic Ice Sheet both from satellite radar altimetry and from GRACE; as well as time series of land water storage change from the WaterGAP global hydrological model. Our budget analyses address the periods 1993–2016 (covered by the satellite altimetry records) and 2003–2016 (covered by GRACE and the Argo drifter system). In terms of the mean rates of change (linear trends), the SLB is closed within uncertainties for both periods, and the OMB, assessable for 2003–2016 only, is also closed within uncertainties. Uncertainties (1-sigma) arising from the combined uncertainties of the elements of the different budgets considered are between 0.26 mm/yr and 0.40 mm/yr, that is, on the order of 10% of the magnitude of global mean sea-level rise, which is 3.05 ± 0.24 mm/yr and 3.65 ± 0.26 mm/yr for 1993-2016 and 2003-2016, respectively. We also assessed the budgets on a monthly time series basis. The statistics of monthly misclosure agrees with the combined uncertainties of the budget elements, which amount to typically 2-3 mm for the 2003–2016 period. We discuss possible origins of the residual misclosure.</p>

Bias in GRACE estimates of ice mass change due to accompanying sea-level change

2012 ◽  
Vol 87 (4) ◽  
pp. 387-392 ◽  
Author(s):  
M. G. Sterenborg ◽  
E. Morrow ◽  
J. X. Mitrovica
Keyword(s):  
Sea Level ◽  
Sea Level Change ◽  
Mass Change ◽  
Level Change

scholarly journals Geological processes and the management of groundwater resources in coastal areas

2003 ◽  
Vol 82 (1) ◽  
pp. 31-40 ◽  
Author(s):  
H. Kooi ◽  
J. Groen
Keyword(s):  
Sea Level ◽  
Groundwater Resources ◽  
Sea Level Change ◽  
Coastal Areas ◽  
Shallow Aquifer ◽  
Sediment Loading ◽  
Level Change ◽  
Geological Processes ◽  
And Sea Level

AbstractIn this contribution, a case is made for the significance of sedimentation and sea-level change for groundwater management of coastal areas. In groundwater practice these geological processes are rarely considered. The role of sediment loading in causing anomalous fluid pressures and flow fields in relatively shallow aquifer systems is discussed and illustrated via both case studies and generic modelling studies. The role of sea-level changes in controlling current salinity distributions is discussed likewise. Central in the discussion is the concept of memory of groundwater systems, which provides the basic reason why processes that were operative in the geological past are still of relevance today. It is argued and shown that awareness and knowledge of the influence of sediment loading and sea level change on current hydrological conditions can lead to improved characterization of the distribution of hydraulic parameters and of the distribution of water quality in coastal areas. This improved characterization, in turn, serves to enhance the validity of impact assessment studies for the long-term development and management of those areas.

scholarly journals Brief Communication: The global signature of post-1900 land ice wastage on vertical land motion

2016 ◽  
Author(s):  
Riccardo E. M. Riva ◽  
Thomas Frederikse ◽  
Matt A. King ◽  
Ben Marzeion ◽  
Michiel van den Broeke
Keyword(s):  
Solid Earth ◽  
Sea Level ◽  
Ice Sheets ◽  
Sea Level Change ◽  
Vertical Deformation ◽  
Ice Caps ◽  
Level Change ◽  
Vertical Land Motion ◽  
Loading Effects ◽  
Spatially Varying

Abstract. Melting glaciers, ice caps and ice sheets have made an important contribution to sea-level rise through the last century. Self-attraction and loading effects driven by shrinking ice masses cause a spatially-varying redistribution of ocean waters that affects reconstructions of past sea level from sparse observations. We model the solid earth response to ice mass changes and find significant vertical deformation signals over large continental areas. We show how deformation rates have been strongly varying through the last century, which implies that they should be properly modelled before interpreting and extrapolating recent observations of vertical land motion and sea level change.

scholarly journals Brief communication: The global signature of post-1900 land ice wastage on vertical land motion

2017 ◽  
Vol 11 (3) ◽  
pp. 1327-1332 ◽  
Author(s):  
Riccardo E. M. Riva ◽  
Thomas Frederikse ◽  
Matt A. King ◽  
Ben Marzeion ◽  
Michiel R. van den Broeke
Keyword(s):  
Solid Earth ◽  
Sea Level ◽  
Ice Sheets ◽  
Sea Level Change ◽  
Vertical Deformation ◽  
Ice Caps ◽  
Level Change ◽  
Vertical Land Motion ◽  
Loading Effects ◽  
Spatially Varying

Abstract. Melting glaciers, ice caps and ice sheets have made an important contribution to sea-level rise through the last century. Self-attraction and loading effects driven by shrinking ice masses cause a spatially varying redistribution of ocean waters that affects reconstructions of past sea level from sparse observations. We model the solid-earth response to ice mass changes and find significant vertical deformation signals over large continental areas. We show how deformation rates have been strongly varying through the last century, which implies that they should be properly modelled before interpreting and extrapolating recent observations of vertical land motion and sea-level change.

scholarly journals Arctic Sea Level Budget Assessment during the GRACE/Argo Time Period

2020 ◽  
Vol 12 (17) ◽  
pp. 2837
Author(s):  
Roshin P. Raj ◽  
Ole B. Andersen ◽  
Johnny A. Johannessen ◽  
Benjamin D. Gutknecht ◽  
Sourav Chatterjee ◽  
...  
Keyword(s):  
Sea Level ◽  
Sea Level Change ◽  
Mass Change ◽  
The Arctic ◽  
Altimeter Data ◽  
Significant Shift ◽  
Important Indicator ◽  
Level Change ◽  
Ocean Mass ◽  
Time Period

Sea level change is an important indicator of climate change. Our study focuses on the sea level budget assessment of the Arctic Ocean using: (1) the newly reprocessed satellite altimeter data with major changes in the processing techniques; (2) ocean mass change data derived from GRACE satellite gravimetry; (3) and steric height estimated from gridded hydrographic data for the GRACE/Argo time period (2003–2016). The Beaufort Gyre (BG) and the Nordic Seas (NS) regions exhibit the largest positive trend in sea level during the study period. Halosteric sea level change is found to dominate the area averaged sea level trend of BG, while the trend in NS is found to be influenced by halosteric and ocean mass change effects. Temporal variability of sea level in these two regions reveals a significant shift in the trend pattern centered around 2009–2011. Analysis suggests that this shift can be explained by a change in large-scale atmospheric circulation patterns over the Arctic. The sea level budget assessment of the Arctic found a residual trend of more than 1.0 mm/yr. This nonclosure of the sea level budget is further attributed to the limitations of the three above mentioned datasets in the Arctic region.

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