DOI: 10.5194/hess-19-3405-2015
Scopus记录号: 2-s2.0-84938613962
论文题名: A comprehensive filtering scheme for high-resolution estimation of the water balance components from high-precision lysimeters
作者: Hannes M ; , Wollschläger U ; , Schrader F ; , Durner W ; , Gebler S ; , Pütz T ; , Fank J ; , Von Unold G ; , Vogel H ; -J
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2015
卷: 19, 期: 8 起始页码: 3405
结束页码: 3418
语种: 英语
Scopus关键词: Soil surveys
; Weighing
; Adaptive thresholds
; Environmental observatories
; Filtering procedures
; Filtering schemes
; High resolution estimation
; High temporal resolution
; Management practices
; Water balance components
; Lysimeters
; accuracy assessment
; data set
; error analysis
; estimation method
; evapotranspiration
; filter
; lysimeter
; management practice
; noise
; precipitation (climatology)
; resolution
; terrestrial environment
; threshold
; water budget
英文摘要: Large weighing lysimeters are currently the most precise method to directly measure all components of the terrestrial water balance in parallel via the built-in weighing system. As lysimeters are exposed to several external forces such as management practices or wind influencing the weighing data, the calculated fluxes of precipitation and evapotranspiration can be altered considerably without having applied appropriate corrections to the raw data. Therefore, adequate filtering schemes for obtaining most accurate estimates of the water balance components are required. In this study, we use data from the TERENO (TERrestrial ENvironmental Observatories) SoilCan research site in Bad Lauchstädt to develop a comprehensive filtering procedure for high-precision lysimeter data, which is designed to deal with various kinds of possible errors starting from the elimination of large disturbances in the raw data resulting e.g., from management practices all the way to the reduction of noise caused e.g., by moderate wind. Furthermore, we analyze the influence of averaging times and thresholds required by some of the filtering steps on the calculated water balance and investigate the ability of two adaptive filtering methods (the adaptive window and adaptive threshold filter (AWAT filter; Peters et al., 2014), and a new synchro filter applicable to the data from a set of several lysimeters) to further reduce the filtering error. Finally, we take advantage of the data sets of all 18 lysimeters running in parallel at the Bad Lauchstädt site to evaluate the performance and accuracy of the proposed filtering scheme. For the tested time interval of 2 months, we show that the estimation of the water balance with high temporal resolution and good accuracy is possible. The filtering code can be downloaded from the journal website as Supplement to this publication. © Author(s) 2015. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78455
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Helmholtz Centre for Environmental Research GmbH - UFZ, Theodor-Lieser-Straße 4, Halle, Germany; Helmholtz Centre for Environmental Research GmbH - UFZ, Permoserstr. 15, Leipzig, Germany; WESS - Water and Earth System Science Competence Cluster, Keplerstraße 17, Tübingen, Germany; Institute of Geoecology, Soil Science and Soil Physics, Technische Universität Braunschweig, Langer Kamp 19c, Braunschweig, Germany; Thünen Institute of Climate-Smart Agriculture (TI-AK), Bundesallee 50, Braunschweig, Germany; Agrosphere (IBG-3), Institute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, Jülich, Germany; JOANNEUM RESEARCH - RESOURCES, Elisabethstraße 18/2, Graz, Austria; UMS GmbH, Gmunder Str. 37, München, Germany
Recommended Citation:
Hannes M,, Wollschläger U,, Schrader F,et al. A comprehensive filtering scheme for high-resolution estimation of the water balance components from high-precision lysimeters[J]. Hydrology and Earth System Sciences,2015-01-01,19(8)