A new high resolution absolute temperature grid for the Greater Alpine Region back to 1780. (15th August 2012)
- Record Type:
- Journal Article
- Title:
- A new high resolution absolute temperature grid for the Greater Alpine Region back to 1780. (15th August 2012)
- Main Title:
- A new high resolution absolute temperature grid for the Greater Alpine Region back to 1780
- Authors:
- Chimani, Barbara
Matulla, Christoph
Böhm, Reinhard
Hofstätter, Michael - Abstract:
- <abstract abstract-type="main" xml:lang="en"> <title>ABSTRACT</title> <p>This study presents a new gridded dataset providing absolute monthly mean temperatures across the Greater Alpine Region (GAR) of Europe at a spatial resolution of 5 arcmin (6 × 9 km in the region) from 1780 to 2008. The starting point was a set of long‐term homogenized station time series. To assure the quality of the analyses back in time, when the station density decreases, missing measurements were reconstructed by an Empirical Orthogonal Function analysis that can deal with gappy data. It is shown that the reconstructed values comprise similar statistical features to the observations and that the method produces no breaks between the reconstructions and the observations. The compound anomaly dataset was then interpolated separately for two different altitude ranges to preserve anomaly gradients between high and low elevations. This allowed for the derivation of individual anomalies at each grid point in GAR. Finally, these smooth anomalies were blended with the highly resolved monthly mean absolute temperature fields, provided by a project of the European Climate Support Network. The added value of this new high resolution and long‐term temperature dataset is shown and discussed using the examples of the height of the 0 °C altitude and vertical lapse rates. For the first time, these and other features are now available for more than two centuries in a topographically complex region like GAR.</p><abstract abstract-type="main" xml:lang="en"> <title>ABSTRACT</title> <p>This study presents a new gridded dataset providing absolute monthly mean temperatures across the Greater Alpine Region (GAR) of Europe at a spatial resolution of 5 arcmin (6 × 9 km in the region) from 1780 to 2008. The starting point was a set of long‐term homogenized station time series. To assure the quality of the analyses back in time, when the station density decreases, missing measurements were reconstructed by an Empirical Orthogonal Function analysis that can deal with gappy data. It is shown that the reconstructed values comprise similar statistical features to the observations and that the method produces no breaks between the reconstructions and the observations. The compound anomaly dataset was then interpolated separately for two different altitude ranges to preserve anomaly gradients between high and low elevations. This allowed for the derivation of individual anomalies at each grid point in GAR. Finally, these smooth anomalies were blended with the highly resolved monthly mean absolute temperature fields, provided by a project of the European Climate Support Network. The added value of this new high resolution and long‐term temperature dataset is shown and discussed using the examples of the height of the 0 °C altitude and vertical lapse rates. For the first time, these and other features are now available for more than two centuries in a topographically complex region like GAR.</p> </abstract> … (more)
- Is Part Of:
- International journal of climatology. Volume 33:Number 9(2013)
- Journal:
- International journal of climatology
- Issue:
- Volume 33:Number 9(2013)
- Issue Display:
- Volume 33, Issue 9 (2013)
- Year:
- 2013
- Volume:
- 33
- Issue:
- 9
- Issue Sort Value:
- 2013-0033-0009-0000
- Page Start:
- 2129
- Page End:
- 2141
- Publication Date:
- 2012-08-15
- Subjects:
- Climatology -- Periodicals
Climat -- Périodiques
Climatologie -- Périodiques
551.605 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/joc.3574 ↗
- Languages:
- English
- ISSNs:
- 0899-8418
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.168000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 3649.xml