Trend of mass change in the Antarctic ice sheet recovered from the GRACE temporal gravity field

Abstract

It is important to quantify mass variations in the Antarctic ice sheet to study the global sea-level rise and climate change. A hybrid filtering scheme employing a combination of the decorrelated filter P3M6 and 300 km Fan filter was used, and the surface mass variations over the Antarctic are recovered from GRACE CSR RL04 monthly gravity field models from August 2002 to June 2010. After deduction of leakage errors using the GLDAS hydrological model and postglacial rebound effects using the glacial isostatic adjustment model IJ05, the variations in the ice sheet mass are obtained. The results reveal that the rate of melting of the Antarctic ice sheet is 80.0 Gt/a and increasing and contributes 0.22 mm/a to the global sea-level rise; the mass loss rate is 78.3 Gt/a in the West Antarctic and 1.6 Gt/a in the East Antarctic. The average mass loss rate increases from 39.3 Gt/a for the period 2002-2005 to 104.2 Gt/a for the period 2006-2010, and its corresponding contribution to the global sea-level rise increases from 0.11 to 0.29 mm/a, which indicates accelerated ice mass loss over the Antarctic since 2006. Moreover, the mass accumulation rates for Enderby Land and Wilkes Land along the coast of East Antarctica decrease for the period 2006-2008 but increase evidently after 2009. GRACE, temporal gravity field, Antarctic ice sheet, mass variation Citation:Luo Z C, Li Q, Zhang K, et al. Trend of mass change in the Antarctic ice sheet recovered from the GRACE temporal gravity field.

Late Quaternary glacial history constrains glacio-isostatic rebound in Enderby Land, East Antarctica

“…Thus, as the post‐LGM change in ice heights in these three areas is broadly concordant, the ice load assumed in these models for Rayner Glacier is reasonable when compared to the field evidence. In turn, this improves the reliability of GRACE ice mass change assessments in this area that use these postglacial rebound models [ Chen et al ., ; Yamamoto et al ., ; Luo et al ., ; King et al ., ].…”

GRACE-Derived Terrestrial Water Storage Changes in the Inter-Basin Region and Its Possible Influencing Factors: A Case Study of the Sichuan Basin, China

“…Anomalous gravity fields were obtained by removing the mean field with respect to the study period. Data were processed following the methods of Luo et al [38], including: (1) degree-2 zonal C20 time series were replaced by analyzed …”

“…Anomalous gravity fields were obtained by removing the mean field with respect to the study period. Data were processed following the methods of Luo et al [38], including: (1) degree-2 zonal C20 time series were replaced by analyzed Satellite Laser Ranging (SLR) data [39]; and (2) a hybrid filtering scheme combined de-correlation filter P3M6 (at spherical harmonic orders 6 and above, a three order polynomial is fitted by least squares and is removed from even and odd coefficient pairs) [40] and 300 km Fan filter [41] was applied to reduce noise from GRACE data.…”

Separation and Recovery of Geophysical Signals Based on the Kalman Filter with GRACE Gravity Data

“…Next, by subtracting the fitted values from the original SH coefficients, the residual values are treated as the signals. The de-striping filter for the Stokes' coefficients with order m or higher using a polynomial of degree n is also known as the PnMm filter, such as P7M7 and P11M11 [18], P3M10 [19], P3M6 [20,21], P4M6 [22],and P5M8 [23]. Different values of the parameter n and m in the de-striping filter can suppress the stripe features to a different extent in different research contexts.…”