English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Improving the ability of regional climate models (RCMs) and ice sheet models(ISMs) to simulate spatiotemporal variations in the mass of the Greenland IceSheet (GrIS) is crucial for prediction of future sea level rise. Whileseveral studies have examined recent trends in GrIS mass loss, studiesfocusing on mass variations at sub-annual and sub-basin-wide scales are stilllacking. At these scales, processes responsible for mass change are less wellunderstood and modeled, and could potentially play an important role infuture GrIS mass change. Here, we examine spatiotemporal variations in massover the GrIS derived from the Gravity Recovery and Climate Experiment(GRACE) satellites for the January 2003–December 2012 period using a"mascon" approach, with a nominal spatial resolution of 100 km, and atemporal resolution of 10 days. We compare GRACE-estimated mass variationsagainst those simulated by the Modèle Atmosphérique Régionale(MAR) RCM and the Ice Sheet System Model (ISSM). In order to properly comparespatial and temporal variations in GrIS mass from GRACE with model outputs,we find it necessary to spatially and temporally filter model results toreproduce leakage of mass inherent in the GRACE solution. Both modeled andsatellite-derived results point to a decline (of −178.9 ± 4.4 and−239.4 ± 7.7 Gt yr<sup>−1</sup> respectively) in GrIS mass over theperiod examined, but the models appear to underestimate the rate of massloss, especially in areas below 2000 m in elevation, where the majority ofrecent GrIS mass loss is occurring. On an ice-sheet-wide scale, the timing ofthe modeled seasonal cycle of cumulative mass (driven by summer mass loss)agrees with the GRACE-derived seasonal cycle, within limits of uncertaintyfrom the GRACE solution. However, on sub-ice-sheet-wide scales, some areasexhibit significant differences in the timing of peaks in the annual cycle ofmass change. At these scales, model biases, or processes not accounted forby models related to ice dynamics or hydrology, may lead to the observed differences. This highlights the need forfurther evaluation of modeled processes at regional and seasonal scales, andfurther study of ice sheet processes not accounted for, such as the role ofsubglacial hydrology in variations in glacial flow

Greenland Ice Sheet seasonal and spatial mass variability from model simulations and GRACE (2003–2012)