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The Kühtai data set: 25 years of lysimetric, snow pillow, and meteorological measurements
Snow measurements at the Kühtai station in Tirol, Austria, (1920 m.a.s.l.) are described. The data set includes snow water equivalent from a 10 m(2) snow pillow, snow melt outflow from a 10 m(2) snow lysimeter placed at the same location as the pillow, meteorological data (precipitation, incoming sh...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5575548/ https://www.ncbi.nlm.nih.gov/pubmed/28931957 http://dx.doi.org/10.1002/2017WR020445 |
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author | Krajči, P. Kirnbauer, R. Parajka, J. Schöber, J. Blöschl, G. |
author_facet | Krajči, P. Kirnbauer, R. Parajka, J. Schöber, J. Blöschl, G. |
author_sort | Krajči, P. |
collection | PubMed |
description | Snow measurements at the Kühtai station in Tirol, Austria, (1920 m.a.s.l.) are described. The data set includes snow water equivalent from a 10 m(2) snow pillow, snow melt outflow from a 10 m(2) snow lysimeter placed at the same location as the pillow, meteorological data (precipitation, incoming shortwave radiation, reflected shortwave radiation, air temperature, relative air humidity, and wind speed), and other data (snow depths, snow temperatures at seven heights) from the period October 1990 to May 2015. All data have been quality checked, and gaps in the meteorological data have been filled in. The data set is unique in that all data are available at a temporal resolution of 15 min over a period of 25 years with minimal changes in the experimental setup. The data set can therefore be used to analyze snow pack processes over a long‐time period, including their extremes and long‐term changes, in an Alpine climate. Analyses may benefit from the combined measurement of snow water equivalent, lysimeter outflow, and precipitation at a wind‐sheltered alpine site. An example use of data shows the temporal variability of daily and 1 April snow water equivalent observed at the Kühtai site. The results indicate that the snow water equivalent maximum varies between 200 and more than 500 mm w.e., but there is no statistically significant temporal trend in the period 1990–2015. |
format | Online Article Text |
id | pubmed-5575548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-55755482017-09-18 The Kühtai data set: 25 years of lysimetric, snow pillow, and meteorological measurements Krajči, P. Kirnbauer, R. Parajka, J. Schöber, J. Blöschl, G. Water Resour Res Technical Reports: Data Snow measurements at the Kühtai station in Tirol, Austria, (1920 m.a.s.l.) are described. The data set includes snow water equivalent from a 10 m(2) snow pillow, snow melt outflow from a 10 m(2) snow lysimeter placed at the same location as the pillow, meteorological data (precipitation, incoming shortwave radiation, reflected shortwave radiation, air temperature, relative air humidity, and wind speed), and other data (snow depths, snow temperatures at seven heights) from the period October 1990 to May 2015. All data have been quality checked, and gaps in the meteorological data have been filled in. The data set is unique in that all data are available at a temporal resolution of 15 min over a period of 25 years with minimal changes in the experimental setup. The data set can therefore be used to analyze snow pack processes over a long‐time period, including their extremes and long‐term changes, in an Alpine climate. Analyses may benefit from the combined measurement of snow water equivalent, lysimeter outflow, and precipitation at a wind‐sheltered alpine site. An example use of data shows the temporal variability of daily and 1 April snow water equivalent observed at the Kühtai site. The results indicate that the snow water equivalent maximum varies between 200 and more than 500 mm w.e., but there is no statistically significant temporal trend in the period 1990–2015. John Wiley and Sons Inc. 2017-06-13 2017-06 /pmc/articles/PMC5575548/ /pubmed/28931957 http://dx.doi.org/10.1002/2017WR020445 Text en © 2017. The Authors. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Technical Reports: Data Krajči, P. Kirnbauer, R. Parajka, J. Schöber, J. Blöschl, G. The Kühtai data set: 25 years of lysimetric, snow pillow, and meteorological measurements |
title | The Kühtai data set: 25 years of lysimetric, snow pillow, and meteorological measurements |
title_full | The Kühtai data set: 25 years of lysimetric, snow pillow, and meteorological measurements |
title_fullStr | The Kühtai data set: 25 years of lysimetric, snow pillow, and meteorological measurements |
title_full_unstemmed | The Kühtai data set: 25 years of lysimetric, snow pillow, and meteorological measurements |
title_short | The Kühtai data set: 25 years of lysimetric, snow pillow, and meteorological measurements |
title_sort | kühtai data set: 25 years of lysimetric, snow pillow, and meteorological measurements |
topic | Technical Reports: Data |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5575548/ https://www.ncbi.nlm.nih.gov/pubmed/28931957 http://dx.doi.org/10.1002/2017WR020445 |
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