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Kuentz, Anna
Publications (3 of 3) Show all publications
Kuentz, A., Arheimer, B., Hundecha, Y. & Wagener, T. (2017). Understanding hydrologic variability across Europe through catchment classification. Hydrology and Earth System Sciences, 21(6), 2863-2879
Open this publication in new window or tab >>Understanding hydrologic variability across Europe through catchment classification
2017 (English)In: Hydrology and Earth System Sciences, ISSN 1027-5606, E-ISSN 1607-7938, Vol. 21, no 6, p. 2863-2879Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-4138 (URN)10.5194/hess-21-2863-2017 (DOI)000403233600001 ()
Available from: 2017-08-08 Created: 2017-08-08 Last updated: 2018-01-13Bibliographically approved
Brigode, P., Brissette, F., Nicault, A., Perreault, L., Kuentz, A., Mathevet, T. & Gailhard, J. (2016). Streamflow variability over the 1881-2011 period in northern Quebec: comparison of hydrological reconstructions based on tree rings and geopotential height field reanalysis. Climate of the Past, 12(9), 1785-1804
Open this publication in new window or tab >>Streamflow variability over the 1881-2011 period in northern Quebec: comparison of hydrological reconstructions based on tree rings and geopotential height field reanalysis
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2016 (English)In: Climate of the Past, ISSN 1814-9324, E-ISSN 1814-9332, Vol. 12, no 9, p. 1785-1804Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-3333 (URN)10.5194/cp-12-1785-2016 (DOI)000383970700001 ()
Available from: 2016-10-18 Created: 2016-10-18 Last updated: 2018-01-14Bibliographically approved
Kuentz, A., Mathevet, T., Gailhard, J. & Hingray, B. (2015). Building long-term and high spatio-temporal resolution precipitation and air temperature reanalyses by mixing local observations and global atmospheric reanalyses: the ANATEM model. Hydrology and Earth System Sciences, 19(6), 2717-2736
Open this publication in new window or tab >>Building long-term and high spatio-temporal resolution precipitation and air temperature reanalyses by mixing local observations and global atmospheric reanalyses: the ANATEM model
2015 (English)In: Hydrology and Earth System Sciences, ISSN 1027-5606, E-ISSN 1607-7938, Vol. 19, no 6, p. 2717-2736Article in journal (Refereed) Published
Abstract [en]

Efforts to improve the understanding of past climatic or hydrologic variability have received a great deal of attention in various fields of geosciences such as glaciology, dendrochronology, sedimentology and hydrology. Based on different proxies, each research community produces different kinds of climatic or hydrologic reanalyses at different spatio-temporal scales and resolutions. When considering climate or hydrology, many studies have been devoted to characterising variability, trends or breaks using observed time series representing different regions or climates of the world. However, in hydrology, these studies have usually been limited to short temporal scales (mainly a few decades and more rarely a century) because they require observed time series (which suffer from a limited spatio-temporal density). This paper introduces ANATEM, a method that combines local observations and large-scale climatic information (such as the 20CR Reanalysis) to build long-term probabilistic air temperature and precipitation time series with a high spatio-temporal resolution (1 day and a few km(2)). ANATEM was tested on the reconstruction of air temperature and precipitation time series of 22 watersheds situated in the Durance River basin, in the French Alps. Based on a multi-criteria and multi-scale diagnosis, the results show that ANATEM improves the performance of classical statistical models - especially concerning spatial homogeneity - while providing an original representation of uncertainties which are conditioned by atmospheric circulation patterns. The ANATEM model has been also evaluated for the regional scale against independent long-term time series and was able to capture regional low-frequency variability over more than a century (1883-2010).

National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-1973 (URN)10.5194/hess-19-2717-2015 (DOI)000357125300014 ()
Available from: 2016-04-26 Created: 2016-03-03 Last updated: 2018-01-10Bibliographically approved
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