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Titel |
Homogenisation of a gridded snow water equivalent climatology for Alpine terrain: methodology and applications |
VerfasserIn |
S. Jörg-Hess, F. Fundel, T. Jonas, M. Zappa |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1994-0416
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Digitales Dokument |
URL |
Erschienen |
In: The Cryosphere ; 8, no. 2 ; Nr. 8, no. 2 (2014-03-19), S.471-485 |
Datensatznummer |
250116080
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Publikation (Nr.) |
copernicus.org/tc-8-471-2014.pdf |
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Zusammenfassung |
Gridded snow water equivalent (SWE) data sets are valuable for estimating the
snow water resources and verify different model systems, e.g. hydrological,
land surface or atmospheric models. However, changing data availability
represents a considerable challenge when trying to derive consistent time
series for SWE products. In an attempt to improve the product consistency, we
first evaluated the differences between two climatologies of SWE grids that
were calculated on the basis of data from 110 and 203 stations, respectively.
The "shorter" climatology (2001–2009) was produced using 203 stations
(map203) and the "longer" one (1971–2009) 110 stations
(map110). Relative to map203, map110
underestimated SWE, especially at higher elevations and at the end of the
winter season. We tested the potential of quantile mapping to compensate for
mapping errors in map110 relative to map203. During a
9 yr calibration period from 2001 to 2009, for which both map203
and map110 were available, the method could successfully refine the
spatial and temporal SWE representation in map110 by making
seasonal, regional and altitude-related distinctions. Expanding the
calibration to the full 39 yr showed that the general underestimation of
map110 with respect to map203 could be removed for the
whole winter. The calibrated SWE maps fitted the reference (map203)
well when averaged over regions and time periods, where the mean error is
approximately zero. However, deviations between the calibrated maps and
map203 were observed at single grid cells and years. When we looked
at three different regions in more detail, we found that the calibration had
the largest effect in the region with the highest proportion of catchment
areas above 2000 m a.s.l. and that the general underestimation of
map110 compared to map203 could be removed for the entire
snow season. The added value of the calibrated SWE climatology is illustrated
with practical examples: the verification of a hydrological model, the
estimation of snow resource anomalies and the predictability of runoff
through SWE. |
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