uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
Adjustment of regional climate model output for modeling the climatic mass balance of all glaciers on Svalbard
Rhein Westfal TH Aachen, Dept Geog, Aachen, Germany.;Univ Innsbruck, Inst Atmospher & Cryospher Sci, Innsbruck, Austria..
Univ Innsbruck, Inst Atmospher & Cryospher Sci, Innsbruck, Austria..
Univ Utrecht, Inst Marine & Atmospher Res Utrecht, Utrecht, Netherlands..
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
Show others and affiliations
2016 (English)In: Journal of Geophysical Research - Atmospheres, ISSN 2169-897X, E-ISSN 2169-8996, Vol. 121, no 10, 5411-5429 p.Article in journal (Refereed) Published
Abstract [en]

Large-scale modeling of glacier mass balance relies often on the output from regional climate models (RCMs). However, the limited accuracy and spatial resolution of RCM output pose limitations on mass balance simulations at subregional or local scales. Moreover, RCM output is still rarely available over larger regions or for longer time periods. This study evaluates the extent to which it is possible to derive reliable region-wide glacier mass balance estimates, using coarse resolution (10 km) RCM output for model forcing. Our data cover the entire Svalbard archipelago over one decade. To calculate mass balance, we use an index-based model. Model parameters are not calibrated, but the RCM air temperature and precipitation fields are adjusted using in situ mass balance measurements as reference. We compare two different calibration methods: root mean square error minimization and regression optimization. The obtained air temperature shifts (+1.43 degrees C versus +2.22 degrees C) and precipitation scaling factors (1.23 versus 1.86) differ considerably between the two methods, which we attribute to inhomogeneities in the spatiotemporal distribution of the reference data. Our modeling suggests a mean annual climatic mass balance of -0.05 +/- 0.40 mw.e.a(-1) for Svalbard over 2000-2011 and a mean equilibrium line altitude of 452 +/- 200m above sea level. We find that the limited spatial resolution of the RCM forcing with respect to real surface topography and the usage of spatially homogeneous RCM output adjustments and mass balance model parameters are responsible for much of the modeling uncertainty. Sensitivity of the results to model parameter uncertainty is comparably small and of minor importance.

Place, publisher, year, edition, pages
2016. Vol. 121, no 10, 5411-5429 p.
National Category
Earth and Related Environmental Sciences
URN: urn:nbn:se:uu:diva-303139DOI: 10.1002/2015JD024380ISI: 000381629900018OAI: oai:DiVA.org:uu-303139DiVA: diva2:971007
Swedish Research CouncilSwedish Polar Research Secretariat
Available from: 2016-09-15 Created: 2016-09-15 Last updated: 2016-09-15Bibliographically approved

Open Access in DiVA

fulltext(11470 kB)24 downloads
File information
File name FULLTEXT01.pdfFile size 11470 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Pohjola, Veijo A.
By organisation
In the same journal
Journal of Geophysical Research - Atmospheres
Earth and Related Environmental Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 24 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 29 hits
ReferencesLink to record
Permanent link

Direct link