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Global Change Master Directory (GCMD)
Greenland Surface Mass Balance
Entry ID: Modelling_Arctic_Glaciers_VDBroeke_IPY37_NL


Summary
Abstract: Model data, RACMO2

Purpose: The Greenland ice sheet (GrIS) contains enough water to raise global sea level by about 7 m. Recent research shows that melt water that has formed at the ice sheet surface drains to the bed of the glacier, accelerating the ice flow. As a result, the glacier thins, the surface lowers, melting increases and the cycle starts anew. This positive feedback between surface climate and ice dynamics is part of the mounting evidence that large ice volumes such as the GrIS could react much faster to a change in climate than has been assumed thus far. In spite of the potential threat this poses for low-lying countries such as the Netherlands, it is still unknown whether the GrIS is growing or shrinking under the present climate conditions and how it has contributed to sea level change in the past and will contribute to sea level change in the future.

A crucial boundary condition for the accurate modelling of past, present and future volume changes of the GrIS is the surface mass balance, comprising the sum of all mass fluxes towards (solid precipitation) and away (melt, sublimation, erosion) from the ice sheet surface. Because reliable GrIS surface mass balance fields are not available, we do not know the volume of the GrIS and its contribution to sea level changes during the previous interglacial (the Eemian, 125,000 years ago) or during the last glacial maximum (LGM, some 21,000 years ago), nor can we predict with any certainty how the GrIS will behave in a (future) enhanced greenhouse climate.

In this project, the surface mass balance of the GrIS will be modelled for these key periods in the past and future. By using a regional atmospheric climate model (RACMO2), driven at the boundaries by state-of-the-art atmospheric general circulation models, this can be done at unprecedented high resolution (18 km) to match the typical resolution of ice dynamical models. Another big advantage of using a meteorological model is the availability of spatially and temporally realistic melt fluxes to study the interaction with ice dynamics. With results from this research we will be able to hindcast and predict the changes in the volume of the GrIS with much improved accuracy and with that its contribution to past and future changes in global sea level.

Related URL
Link: View Related Information
Description: Regional modeling of Greenland surface mass balance for key episodes in the past and future (Eemian, pre-industrial)

Geographic Coverage
 N: 85.0 S: 55.0  E: 10.0  W: -80.0

 Min Altitude: 0  Max Altitude: TOP OF ATMOSPHERE  Min Depth: 0.065 M  Max Depth: 30 M

Data Set Citation
Dataset Creator: Prof. dr. M.R. van den Broeke
Dataset Title: Greenland surface mass balance
Dataset Series Name: Runs for Eemian and pre-industrial times
Dataset Release Place: Utrecht, the Netherlands
Dataset Publisher: IMAU, Utrecht University
Version: Not provided
Data Presentation Form: netCDF


Temporal Coverage
Start Date: 2006-08-01
Stop Date: 2010-07-31


Location Keywords
CONTINENT > NORTH AMERICA > GREENLAND
GEOGRAPHIC REGION > ARCTIC
GEOGRAPHIC REGION > POLAR


Data Resolution
Temporal Resolution: 6 hr


Science Keywords
CRYOSPHERE >GLACIERS/ICE SHEETS >ICE SHEETS >SURFACE MASS BALANCE OF GREENLAND ICE SHEET    [Definition]
CRYOSPHERE >GLACIERS/ICE SHEETS >ICE SHEETS >REGIONAL ATMOSPHERIC CLIMATE MODEL    [Definition]


Project
IPY >INTERNATIONAL POLAR YEAR    [Information]
GLACIODYN >The dynamic response of Arctic glaciers to global warming    [Information]


Quality
The model RACMO2 has been tested and checked against current climate data and it is used to evaluate the current climate in Greenland resulting in several publications. Model data for the Eemian were tested in 1 publication (see the list of publications).


Access Constraints
No constraints


Use Constraints
Contact the author / data center to request data


Keywords
Chronostratigraphic Unit (stage): Eemian & pre-industrial
GLACIODYN
IPY-NL


Data Set Progress
ACTIVE


Data Center
Institute for Marine and Atmospheric Research, Physics and Astronomy Department, Utrecht University    [Information]
Data Center URL: http://www.imau.nl

Data Center Personnel
Name: MICHIEL VAN DEN BROEKE
Phone: +31 30 253 3169
Fax: +31 30 254 3163
Email: m.r.vandenbroeke at uu.nl
Contact Address:
Utrecht University
Institute for Marine and Atmospheric Research
PO Box 80 005
City: Utrecht
Postal Code: 3508 TA
Country: The Netherlands



Distribution
Distribution_Media: Contact the author / data center to request data
Distribution_Format: Netcdf files
Fees: No fees apply


Personnel
MICHIEL VAN DEN BROEKE
Role: INVESTIGATOR
Role: TECHNICAL CONTACT
Role: METADATA AUTHOR
Phone: +31 30 253 3169
Fax: +31 30 254 3163
Email: m.r.vandenbroeke at uu.nl
Contact Address:
Utrecht University
Institute for Marine and Atmospheric Research
PO Box 80 005
City: Utrecht
Postal Code: 3508 TA
Country: The Netherlands


Publications/References
Kaspar, F., N. Kühl, U. Cubasch and T. Litt (2005-01-01T00:00:00.000Z), A model-data‚Äźcomparison of European temperatures in the Eemian interglacial, Geophys. Res. Lett., 32, L11703, doi:10.1029/2005GL022456

Ettema, J., M.R. van den Broeke, E. van Meijgaard, W.J. Van den Berg, J.L. Bamber, J.E. Box, and R.C. Bales (2009-01-01T00:00:00.000Z), Higher surface mass balance of the Greenland ice sheet revealed by high-resolution climate-modeling, Geophys. Res. Lett., 36, L12501, doi:10.1029/2009GL038110

Ettema, J., M.R. van den Broeke, E. van Meijgaard, W.J. Van den Berg, J.E. Box, and K. Steffen (2010-01-01T00:00:00.000Z), Climate of the Greenland ice sheet using a high-resolution climate model, part 1: Evaluation, The Cryosphere, 4, 511-527

Michiel van den Broeke, et al., (2009-01-01T00:00:00.000Z), Partitioning Recent Greenland Mass Loss, Science, 326, 984, doi:10.1126/science.1178176
Extended Metadata Properties
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Creation and Review Dates
DIF Creation Date: 2010-02-22
Last DIF Revision Date: 2018-05-25



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