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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We present an ensemble of numerical simulations of the Cordilleran ice sheetduring the Last Glacial Maximum performed with the Parallel Ice Sheet Model(PISM), applying temperature offsets to the present-day climatologies fromfive different data sets. Monthly mean surface air temperature andprecipitation from WorldClim, the NCEP/NCAR reanalysis, the ERA-Interimreanalysis, the Climate Forecast System Reanalysis and the North AmericanRegional Reanalysis are used to compute surface mass balance in a positivedegree-day model. Modelled ice sheet outlines and volumes appear highlysensitive to the choice of climate forcing. For three of the four reanalysisdata sets used, differences in precipitation are the major source fordiscrepancies between model results. We assess model performance againsta geomorphological reconstruction of the ice margin at the Last GlacialMaximum, and suggest that part of the mismatch is due to unresolvedorographic precipitation effects caused by the coarse resolution ofreanalysis data. The best match between model output and the reconstructedice margin is obtained using the high-resolution North American RegionalReanalysis, which we retain for simulations of the Cordilleran ice sheet inthe future

The effect of climate forcing on numerical simulations of the Cordilleran ice sheet at the Last Glacial Maximum