Ecology
; Time series analysis
; Automated algorithms
; Comprehensive comparisons
; Degree of variability
; High frequency data
; Potential problems
; Spatio-temporal resolution
; Three-layered structures
; Water temperatures
; Lakes
; epilimnion
; lake ecosystem
; seasonality
; spatiotemporal analysis
; stratification
; surface layer
; thermal water
; time series analysis
; vertical distribution
; water column
Wilson, H.L., Centre for Freshwater and Environmental Studies, Dundalk Institute of Technology, Dundalk, Co. Louth, Ireland; Ayala, A.I., Department of Ecology and Genetics Limnology, Uppsala University, Uppsala, Sweden; Jones, I.D., Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, United Kingdom; Rolston, A., An Fóram Uisce - The Water Forum, Nenagh, Co. Tipperary, Ireland; Pierson, D., Department of Ecology and Genetics Limnology, Uppsala University, Uppsala, Sweden; de Eyto, E., Marine Institute Catchment Research Facility, Furnace, Newport, Co. Mayo, Ireland; Grossart, H.-P., Institute for Biochemistry and Biology, Potsdam University, Potsdam, Germany; Perga, M.-E., University of Lausanne, Faculty of Geoscience and Environment, Lausanne, 1015, Switzerland; Woolway, R.I., Centre for Freshwater and Environmental Studies, Dundalk Institute of Technology, Dundalk, Co. Louth, Ireland; Jennings, E., Centre for Freshwater and Environmental Studies, Dundalk Institute of Technology, Dundalk, Co. Louth, Ireland
Recommended Citation:
Wilson H.L.,Ayala A.I.,Jones I.D.,et al. Variability in epilimnion depth estimations in lakes[J]. Hydrology and Earth System Sciences,2020-01-01,24(11)