Sval_Imp_v1: A gridded forcing dataset for climate change impact research on Svalbard
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-dimen...
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ftcopernicus:oai:publications.copernicus.org:essdd80483 2023-05-15T15:08:10+02:00 Sval_Imp_v1: A gridded forcing dataset for climate change impact research on Svalbard Schuler, Thomas Vikhamar Østby, Torbjørn Ims 2019-11-11 application/pdf https://doi.org/10.5194/essd-2019-180 https://www.earth-syst-sci-data-discuss.net/essd-2019-180/ eng eng doi:10.5194/essd-2019-180 https://www.earth-syst-sci-data-discuss.net/essd-2019-180/ eISSN: 1866-3516 Text 2019 ftcopernicus https://doi.org/10.5194/essd-2019-180 2019-12-24T09:48:13Z 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. Text Arctic Climate change Svalbard Copernicus Publications: E-Journals Arctic Svalbard |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
language |
English |
description |
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. |
format |
Text |
author |
Schuler, Thomas Vikhamar Østby, Torbjørn Ims |
spellingShingle |
Schuler, Thomas Vikhamar Østby, Torbjørn Ims Sval_Imp_v1: A gridded forcing dataset for climate change impact research on Svalbard |
author_facet |
Schuler, Thomas Vikhamar Østby, Torbjørn Ims |
author_sort |
Schuler, Thomas Vikhamar |
title |
Sval_Imp_v1: A gridded forcing dataset for climate change impact research on Svalbard |
title_short |
Sval_Imp_v1: A gridded forcing dataset for climate change impact research on Svalbard |
title_full |
Sval_Imp_v1: A gridded forcing dataset for climate change impact research on Svalbard |
title_fullStr |
Sval_Imp_v1: A gridded forcing dataset for climate change impact research on Svalbard |
title_full_unstemmed |
Sval_Imp_v1: A gridded forcing dataset for climate change impact research on Svalbard |
title_sort |
sval_imp_v1: a gridded forcing dataset for climate change impact research on svalbard |
publishDate |
2019 |
url |
https://doi.org/10.5194/essd-2019-180 https://www.earth-syst-sci-data-discuss.net/essd-2019-180/ |
geographic |
Arctic Svalbard |
geographic_facet |
Arctic Svalbard |
genre |
Arctic Climate change Svalbard |
genre_facet |
Arctic Climate change Svalbard |
op_source |
eISSN: 1866-3516 |
op_relation |
doi:10.5194/essd-2019-180 https://www.earth-syst-sci-data-discuss.net/essd-2019-180/ |
op_doi |
https://doi.org/10.5194/essd-2019-180 |
_version_ |
1766339575387521024 |