Tyler C. Sutterley
University of California, Irvine
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Featured researches published by Tyler C. Sutterley.
Geophysical Research Letters | 2014
I. Velicogna; Tyler C. Sutterley; M. R. van den Broeke
We use Gravity Recovery and Climate Experiment (GRACE) monthly gravity fields to determine the regional acceleration in ice mass loss in Greenland and Antarctica for 2003-2013. We find that the total mass loss is controlled by only a few regions. In Greenland, the southeast and northwest generate 70% of the loss (280 ± 58 Gt/yr) mostly from ice dynamics, the southwest accounts for 54% of the total acceleration in loss (25.4 ± 1.2 Gt/yr 2 ) from a decrease in surface mass balance (SMB), followed by the northwest (34%), and we find no significant acceleration in the northeast. In Antarctica, the Amundsen Sea (AS) sector and the Antarctic Peninsula account for 64% and 17%, respectively, of the total loss (180 ± 10 Gt/yr) mainly from ice dynamics. The AS sector contributes most of the acceleration in loss (11 ± 4 Gt/yr 2 ), and Queen Maud Land, East Antarctica, is the only sector with a significant mass gain due to a local increase in SMB (63 ± 5 Gt/yr).
Geophysical Research Letters | 2014
Tyler C. Sutterley; I. Velicogna; Eric Rignot; J. Mouginot; Thomas Flament; Michiel R. van den Broeke; Jan Melchior van Wessem; C. H. Reijmer
We compare four independent estimates of the mass balance of the Amundsen Sea Embayment of West Antarctica, an area experiencing rapid retreat and mass loss to the sea. We use ICESat and Operation IceBridge laser altimetry, Envisat radar altimetry, GRACE time-variable gravity, RACMO2.3 surface mass balance, ice velocity from imaging radars, and ice thickness from radar sounders. The four methods agree in terms of mass loss and acceleration in loss at the regional scale. Over 1992-2013, the mass loss is 83 ± 5 Gt/yr with an acceleration of 6.1 ± 0.7 Gt/yr 2 . During the common period 2003-2009, the mass loss is 84 ± 10 Gt/yr with an acceleration of 16.3 ± 5.6 Gt/yr 2 , nearly 3 times the acceleration over 1992-2013. Over 2003-2011, the mass loss is 102 ± 10 Gt/yr with an acceleration of 15.7 ± 4.0 Gt/yr 2 . The results reconcile independent mass balance estimates in a setting dominated by change in ice dynamics with significant variability in surface mass balance.
Nature Communications | 2016
A. Khazendar; Eric Rignot; Dustin M. Schroeder; Helene Seroussi; Michael Schodlok; Bernd Scheuchl; J. Mouginot; Tyler C. Sutterley; I. Velicogna
Enhanced submarine ice-shelf melting strongly controls ice loss in the Amundsen Sea embayment (ASE) of West Antarctica, but its magnitude is not well known in the critical grounding zones of the ASEs major glaciers. Here we directly quantify bottom ice losses along tens of kilometres with airborne radar sounding of the Dotson and Crosson ice shelves, which buttress the rapidly changing Smith, Pope and Kohler glaciers. Melting in the grounding zones is found to be much higher than steady-state levels, removing 300–490 m of solid ice between 2002 and 2009 beneath the retreating Smith Glacier. The vigorous, unbalanced melting supports the hypothesis that a significant increase in ocean heat influx into ASE sub-ice-shelf cavities took place in the mid-2000s. The synchronous but diverse evolutions of these glaciers illustrate how combinations of oceanography and topography modulate rapid submarine melting to hasten mass loss and glacier retreat from West Antarctica.
Environmental Research Letters | 2014
Tyler C. Sutterley; I. Velicogna; Beata Csatho; Michiel R. van den Broeke; Soroush Rezvan-Behbahani; Greg Babonis
Glacial isostatic adjustment (GIA) represents a source of uncertainty for ice sheet mass balance estimates from the Gravity Recovery and Climate Experiment (GRACE) time-variable gravity measurements. We evaluate Greenland GIA corrections from Simpson et al (2009 Quat. Sci. Rev. 28 1631‐57), A et al (2013 Geophys. J. Int. 192 557‐72) and Wu et al (2010 Nature Geosci. 3 642‐6) by comparing the spatial patterns of GRACE-derived ice mass trends calculated using the three corrections with volume changes from ICESat (Ice, Cloud, and land Elevation Satellite) and OIB (Operation IceBridge) altimetry missions, and surface mass balance products from the Regional Atmospheric Climate Model (RACMO). During the period September 2003‐August 2011, GRACE ice mass changes obtained using the Simpson et al (2009 Quat. Sci. Rev. 28 1631‐57) and A et al (2013 Geophys. J. Int. 192 557‐72) GIA corrections yield similar spatial patterns and amplitudes, and are consistent with altimetry observations and surface mass balance data. The two GRACE estimates agree within 2% on average over the entire ice sheet, and better than 15% in four subdivisions of Greenland. The third GRACE estimate corrected using the (Wu et al 2010 Nature Geosci. 3 642‐6)) GIA shows similar spatial patterns, but produces an average ice mass loss for the entire ice sheet that is 64 67 Gt yr 1 smaller. In the Northeast the recovered ice mass change is 46‐49 Gt yr 1 (245‐270%) more positive than that deduced from the other two corrections. By comparing the spatial and temporal variability of the GRACE estimates with trends of volume changes from altimetry and surface mass balance from RACMO, we show that the Wu et al (2010 Nature Geosci. 3 642‐6) correction leads to a large mass increase in the Northeast that is inconsistent with independent observations.
The Cryosphere Discussions | 2018
Tyler C. Sutterley; Thorsten Markus; Thomas Neumann; Michiel R. van den Broeke; J. Melchior van Wessem; Stefan R. M. Ligtenberg
The authors use airborne laser altimetry (from airborne topographic mappers (ATM)) over Antarctic Peninsula (AP) and Amundsen Sea (AS) ice shelves, plus models of surface mass balance and firn compaction, to measure ice shelf thinning rates and assign these rates to individual terms in the mass balance. The study is complementary to several previous studies that used satellite altimeters. The coverage of ATM is poor prior to Operation Icebridge (OIB). However, it has some advantages in terms of dedicated tracks, in particular allowing measurements to get close to grounding lines. It is therefore a valuable study, and dataset, to provide to the community. C1
Climate Dynamics | 2016
P. Kishore; S. Jyothi; Ghouse Basha; S. V. B. Rao; M. Rajeevan; I. Velicogna; Tyler C. Sutterley
Nature | 2018
Andrew Shepherd; Erik R. Ivins; Eric Rignot; Ben Smith; Michiel R. van den Broeke; I. Velicogna; Pippa L. Whitehouse; Kate Briggs; Ian Joughin; Gerhard Krinner; Sophie Nowicki; Tony Payne; Theodore A. Scambos; Nicole Schlegel; Geruo A; Cécile Agosta; Andreas P. Ahlstrøm; Greg Babonis; Valentina Roberta Barletta; Alejandro Blazquez; Jennifer Bonin; Beata Csatho; Richard I. Cullather; Denis Felikson; Xavier Fettweis; René Forsberg; Hubert Gallée; Alex S. Gardner; Lin Gilbert; Andreas Groh
Remote Sensing of Environment | 2015
Ghouse Basha; P. Kishore; M. Venkat Ratnam; Taha B. M. J. Ouarda; I. Velicogna; Tyler C. Sutterley
Remote Sensing of Environment | 2016
P. Kishore; I. Velicogna; M. Venkat Ratnam; Ghouse Basha; Taha B. M. J. Ouarda; S.P. Namboothiri; Jonathan H. Jiang; Tyler C. Sutterley; G.N. Madhavi; S. V. B. Rao
Geophysical Research Letters | 2018
Tyler C. Sutterley; I. Velicogna; Xavier Fettweis; Eric Rignot; Brice Noël; Michiel R. van den Broeke