A characterization of Greenland Ice Sheet surface melt and runoff in contemporary reanalyses and a regional climate model

For the Greenland Ice Sheet (GrIS), large-scale melt area has increased in recent years and is detectable via remote sensing, but its relation to runoff is not known. Historical, modeled melt area and runoff from Modern-Era Retrospective Analysis for Research and Applications (MERRA-Replay), the Int...

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Main Authors: Richard eCullather, Sophie eNowicki, Bin eZhao, Lora eKoenig
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-02-01
Series:Frontiers in Earth Science
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/feart.2016.00010/full
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author Richard eCullather
Richard eCullather
Sophie eNowicki
Bin eZhao
Bin eZhao
Lora eKoenig
author_facet Richard eCullather
Richard eCullather
Sophie eNowicki
Bin eZhao
Bin eZhao
Lora eKoenig
author_sort Richard eCullather
collection DOAJ
description For the Greenland Ice Sheet (GrIS), large-scale melt area has increased in recent years and is detectable via remote sensing, but its relation to runoff is not known. Historical, modeled melt area and runoff from Modern-Era Retrospective Analysis for Research and Applications (MERRA-Replay), the Interim Re-Analysis of the European Centre for Medium Range Weather Forecasts (ERA-I), the Climate Forecast System Reanalysis (CFSR), the Modèle Atmosphérique Régional (MAR), and the Arctic System Reanalysis (ASR) are examined. These sources compare favorably with satellite-derived estimates of surface melt area for the period 2000-2012. Spatially, the models markedly disagree on the number of melt days in the interior of the southern part of the ice sheet, and on the extent of persistent melt areas in the northeastern GrIS. Temporally, the models agree on the mean seasonality of daily surface melt and on the timing of large-scale melt events in 2012. In contrast, the models disagree on the amount, seasonality, spatial distribution, and temporal variability of runoff. As compared to global reanalyses, time series from MAR indicate a lower correlation between runoff and melt area (r2 = 0.805). Runoff in MAR is much larger in the second half of the melt season for all drainage basins, while the ASR indicates larger runoff in the first half of the year. This difference in seasonality for the MAR and to an extent for the ASR provide a hysteresis in the relation between runoff and melt area, which is not found in the other models. The comparison points to a need for reliable observations of surface runoff.
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spelling doaj.art-3dea6d877af54ebfbeb4fd861ba3cbed2022-12-22T03:16:22ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632016-02-01410.3389/feart.2016.00010171757A characterization of Greenland Ice Sheet surface melt and runoff in contemporary reanalyses and a regional climate modelRichard eCullather0Richard eCullather1Sophie eNowicki2Bin eZhao3Bin eZhao4Lora eKoenig5University of Maryland at College ParkNASA Goddard Space Flight CenterNASA Goddard Space Flight CenterNASA Goddard Space Flight CenterScience Applications International CorporationUniversity of Colorado at BoulderFor the Greenland Ice Sheet (GrIS), large-scale melt area has increased in recent years and is detectable via remote sensing, but its relation to runoff is not known. Historical, modeled melt area and runoff from Modern-Era Retrospective Analysis for Research and Applications (MERRA-Replay), the Interim Re-Analysis of the European Centre for Medium Range Weather Forecasts (ERA-I), the Climate Forecast System Reanalysis (CFSR), the Modèle Atmosphérique Régional (MAR), and the Arctic System Reanalysis (ASR) are examined. These sources compare favorably with satellite-derived estimates of surface melt area for the period 2000-2012. Spatially, the models markedly disagree on the number of melt days in the interior of the southern part of the ice sheet, and on the extent of persistent melt areas in the northeastern GrIS. Temporally, the models agree on the mean seasonality of daily surface melt and on the timing of large-scale melt events in 2012. In contrast, the models disagree on the amount, seasonality, spatial distribution, and temporal variability of runoff. As compared to global reanalyses, time series from MAR indicate a lower correlation between runoff and melt area (r2 = 0.805). Runoff in MAR is much larger in the second half of the melt season for all drainage basins, while the ASR indicates larger runoff in the first half of the year. This difference in seasonality for the MAR and to an extent for the ASR provide a hysteresis in the relation between runoff and melt area, which is not found in the other models. The comparison points to a need for reliable observations of surface runoff.http://journal.frontiersin.org/Journal/10.3389/feart.2016.00010/fullGreenlandrunoffregional climate modelIce sheetsReanalysesmelt area
spellingShingle Richard eCullather
Richard eCullather
Sophie eNowicki
Bin eZhao
Bin eZhao
Lora eKoenig
A characterization of Greenland Ice Sheet surface melt and runoff in contemporary reanalyses and a regional climate model
Frontiers in Earth Science
Greenland
runoff
regional climate model
Ice sheets
Reanalyses
melt area
title A characterization of Greenland Ice Sheet surface melt and runoff in contemporary reanalyses and a regional climate model
title_full A characterization of Greenland Ice Sheet surface melt and runoff in contemporary reanalyses and a regional climate model
title_fullStr A characterization of Greenland Ice Sheet surface melt and runoff in contemporary reanalyses and a regional climate model
title_full_unstemmed A characterization of Greenland Ice Sheet surface melt and runoff in contemporary reanalyses and a regional climate model
title_short A characterization of Greenland Ice Sheet surface melt and runoff in contemporary reanalyses and a regional climate model
title_sort characterization of greenland ice sheet surface melt and runoff in contemporary reanalyses and a regional climate model
topic Greenland
runoff
regional climate model
Ice sheets
Reanalyses
melt area
url http://journal.frontiersin.org/Journal/10.3389/feart.2016.00010/full
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