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dc.contributor.author
Ahrens, Bodo
dc.date.accessioned
2019-06-25T16:09:14Z
dc.date.available
2017-06-09T05:27:49Z
dc.date.available
2019-06-25T16:09:14Z
dc.date.issued
2006
dc.identifier.issn
1027-5606
dc.identifier.issn
1607-7938
dc.identifier.other
10.5194/hessd-2-1893-2005
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/22504
dc.identifier.doi
10.3929/ethz-b-000022504
dc.description.abstract
Spatial interpolation of rain gauge data is impor-tant in forcing of hydrological simulations or evaluation ofweather predictions, for example. This paper investigatesthe application of statistical distance, like one minus com-mon variance of observation time series, between data sitesinstead of geographical distance in interpolation. Here, asa typical representative of interpolation methods the inversedistance weighting interpolation is applied and the test datais daily precipitation observed in Austria. Choosing statis-tical distance instead of geographical distance in interpola-tion of available coarse network observations to sites of adenser network, which is not reporting for the interpolationdate, yields more robust interpolation results. The most dis-tinct performance enhancement is in or close to mountainousterrain. Therefore, application of statistical distance in theinverse distance weighting interpolation or in similar meth-ods can parsimoniously densify the currently available obser-vation network. Additionally, the success further motivatessearch for conceptual rain–orography interaction models ascomponents of spatial rain interpolation algorithms in moun-tainous terrain.
en_US
dc.format
application/pdf
dc.language.iso
en
en_US
dc.publisher
Copernicus
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-nc-sa/2.5/
dc.title
Distance in spatial interpolation of daily rain gauge data
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Generic
dc.date.published
2006-04-04
ethz.journal.title
Hydrology and Earth System Sciences
ethz.journal.volume
10
en_US
ethz.journal.issue
2
en_US
ethz.journal.abbreviated
Hydrol. earth syst. sci.
ethz.pages.start
197
en_US
ethz.pages.end
208
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.nebis
001881462
ethz.publication.place
Göttingen
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02717 - Institut für Atmosphäre und Klima / Inst. Atmospheric and Climate Science::03360 - Schär, Christoph / Schär, Christoph
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02717 - Institut für Atmosphäre und Klima / Inst. Atmospheric and Climate Science::03360 - Schär, Christoph / Schär, Christoph
ethz.date.deposited
2017-06-09T05:28:00Z
ethz.source
ECIT
ethz.identifier.importid
imp59364d010843f87164
ethz.ecitpid
pub:37368
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-13T08:09:05Z
ethz.rosetta.lastUpdated
2020-02-15T19:50:26Z
ethz.rosetta.versionExported
true
ethz.COinS
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