Calculating temperature dependence over long time periods: derivation of methods
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Date
1996
Publication Type
Report
ETH Bibliography
yes
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Abstract
Rates of ecological processes are usually influenced by temperature. For simplicity and efficiency of ecosystem models it is often necessary to summarise information about temperature dependence from short, e.g. hourly, time intervals over longer, e.g. monthly, time periods, i.e. to calculate long term expected values of dependence functions. This aim can seldom be achieved by applying the temperature function to the mean temperature, because temperature dependencies are in many cases nonlinear. Therefore, we derived newly seven methods for such a temporal aggregation of temperature dependence. The methods determine the expected value interpreting either hourly temperature, daily temperature mean, or daily temperature mean and amplitude as random variables. The dependence function hereby is approximated by a piecewise linear function, the daily temperature course by a triangle and the density function of the normal distribution by a parabola. The resulting methods cover a range of temperature input data resolutions: monthly mean or standard deviation or both of either hourly temperatures, daily temperature extrema, daily temperature means and amplitudes, or only daily tempuature means. The methods can be applied to all types of dependence functions, in particular to nonlinear ones.
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published
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Journal / series
Volume
26
Pages / Article No.
Publisher
Terrestrial Systems Ecology, Department of Environmental Systems Science, ETH Zurich
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Date created
Subject
Gap dynamics; Forests; Climatic change; Temperature; Modeling
Organisational unit
02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science
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Is previous version of: 10.1016/S0304-3800(96)01907-2Is documented by: https://www.sysecol.ethz.ch/publications/reports/#26