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Discussion papers
https://doi.org/10.5194/essd-2019-180
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-180
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: data description paper 11 Nov 2019

Submitted as: data description paper | 11 Nov 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).

Sval_Imp_v1: A gridded forcing dataset for climate change impact research on Svalbard

Thomas Vikhamar Schuler1 and Torbjørn Ims Østby1,a Thomas Vikhamar Schuler and Torbjørn Ims Østby
  • 1Department of Geosciences, University of Oslo, Norway
  • aLyse AS, Stavanger, Norway

Abstract. We present Sval_Imp_v1, a high resolution gridded dataset designed for forcing models of terrestrial surface processes on Svalbard. The dataset is defined on a 1 km grid covering the archipelago of Svalbard, located in the Norwegian Arctic (74–82° N). Using a hybrid methodology combining multi-dimensional interpolation with simple dynamical modelling, the atmospheric reanalyses ERA-40 and ERA-interim by the European Centre for Medium-Range Weather Forecasting have been downscaled to cover the period 1957–2017 at steps of 6 h. The dataset is publicly available from a data repository. In this paper, we describe the methodology used to construct the dataset, present the organization of the data in the repository and discuss the performance of the downscaling procedure. In doing so, the dataset is compared to a wealth of data available from operational as well as project-based measurements. The quality of the downscaled dataset is found to vary in space and time, but generally represents an improvement compared to unscaled values, especially for precipitation. Whereas operational records are biased to low-elevations around the fringes of the archipelago, we stress the hitherto under-used potential of project-based measurements for evaluating atmospheric models. For instance, records of snow accumulation on large ice masses may represent measures of seasonally-integrated precipitation in regions sensitive to the downscaling procedure, thus providing added value.

Thomas Vikhamar Schuler and Torbjørn Ims Østby
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Status: open (until 06 Jan 2020)
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Thomas Vikhamar Schuler and Torbjørn Ims Østby
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Sval_Imp_v1, Svalbard impact assessment forcing dataset, version 1 T. V. Schuler https://doi.org/10.11582/2018.00006

Thomas Vikhamar Schuler and Torbjørn Ims Østby
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Short summary
Atmospheric variables needed to force terrestrial process models (permafrost, glacier mass balance, seasonal snow, surface energy balance), have been downscaled from the ERA 40 and ERA interim re-analyses using methodology described in the accompanying paper. The gridded dataset has a horizontal resolution of 1 km and covers the entire Svalbard archipelago. The data have a temporal resolution of 6 h and cover the entire ERA40 period (1957–2002) and the ERAinterim period (1979–2017).
Atmospheric variables needed to force terrestrial process models (permafrost, glacier mass...
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