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parametrization [2024/06/20 14:58] – angelegt pschlue1 | parametrization [2024/06/20 14:59] (current) – pschlue1 |
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<font 11pt/inherit;;#c00000;;inherit>**Parameterization:**</font> | ====== Parameterization ====== |
<font 11pt/inherit;;#000000;;inherit>In a model, quantity</font> | |
<font 11pt/inherit;;#000000;;inherit>CKGE_TMP_i A CKGE_TMP_i</font> | In a model, quantity A is modelled. A is influenced by unknown B. Parameterization is to express B using A and/or other known quantities, such that A can be estimated. Parameterization schemes usually consist of parameters to be determined empirically.\\ |
<font 11pt/inherit;;#000000;;inherit>is modelled.</font> | Example, we model population density ρ using model (conservation equation) dρ/dt = s, where s is birth-death rate, but unknown. Because of this, the model is not “closed”. Since s is too difficult to estimate, we express s using ρ, e.g., s = r ρ, where r is a parameter. The model is now\\ |
<font 11pt/inherit;;#000000;;inherit>CKGE_TMP_i A CKGE_TMP_i</font> | dρ/dt = r ρ\\ |
<font 11pt/inherit;;#000000;;inherit>is influenced by</font> | which is the Mathus (1798) population growth theory. We use parameterization to describe our understanding of the processes. It is a vital technique for representing cross-scale and cross-compartment interactions in complex systems. (YS, 12.06.2024). |
<font 11pt/inherit;;#000000;;inherit>unknown</font> | |
<font 11pt/inherit;;#000000;;inherit>CKGE_TMP_i B CKGE_TMP_i</font> | |
<font 11pt/inherit;;#000000;;inherit>.</font> | |
<font 11pt/inherit;;#000000;;inherit>Parameterization is to express</font> | |
<font 11pt/inherit;;#000000;;inherit>CKGE_TMP_i B CKGE_TMP_i</font> | |
<font 11pt/inherit;;#000000;;inherit>using</font> | |
<font 11pt/inherit;;#000000;;inherit>CKGE_TMP_i A CKGE_TMP_i</font> | |
<font 11pt/inherit;;#000000;;inherit>and/or other known quantities</font> | |
<font 11pt/inherit;;#000000;;inherit>, such that</font> | |
<font 11pt/inherit;;#000000;;inherit>CKGE_TMP_i A CKGE_TMP_i</font> | |
<font 11pt/inherit;;#000000;;inherit>can be estimated</font> | |
<font 11pt/inherit;;#000000;;inherit>.</font> | |
<font 11pt/inherit;;#000000;;inherit>Parameterization scheme</font> | |
<font 11pt/inherit;;#000000;;inherit>s usually</font> | |
<font 11pt/inherit;;#000000;;inherit>consist of parameters</font> | |
<font 11pt/inherit;;#000000;;inherit>to be</font> | |
<font 11pt/inherit;;#000000;;inherit>determined empirically.</font> | |
<font 11pt/inherit;;#000000;;inherit>Example, we model population density</font> | |
<font 11pt/inherit;;#000000;;inherit>CKGE_TMP_i ρ CKGE_TMP_i</font> | |
<font 11pt/inherit;;#000000;;inherit>using model (</font> | |
<font 11pt/inherit;;#000000;;inherit>conservation equation</font> | |
<font 11pt/inherit;;#000000;;inherit>)</font> | |
<font 11pt/inherit;;#000000;;inherit>d</font> | |
<font 11pt/inherit;;#000000;;inherit>CKGE_TMP_i ρ CKGE_TMP_i</font> | |
<font 11pt/inherit;;#000000;;inherit>/d</font> | |
<font 11pt/inherit;;#000000;;inherit>CKGE_TMP_i t CKGE_TMP_i</font> | |
<font 11pt/inherit;;#000000;;inherit>=</font> | |
<font 11pt/inherit;;#000000;;inherit>CKGE_TMP_i s CKGE_TMP_i</font> | |
<font 11pt/inherit;;#000000;;inherit>, where</font> | |
<font 11pt/inherit;;#000000;;inherit>CKGE_TMP_i s CKGE_TMP_i</font> | |
<font 11pt/inherit;;#000000;;inherit>is birth-death rate</font> | |
<font 11pt/inherit;;#000000;;inherit>, but unknown. Because</font> | |
<font 11pt/inherit;;#000000;;inherit>of this,</font> | |
<font 11pt/inherit;;#000000;;inherit>the</font> | |
<font 11pt/inherit;;#000000;;inherit>model is</font> | |
<font 11pt/inherit;;#000000;;inherit>not “closed”. Since</font> | |
<font 11pt/inherit;;#000000;;inherit>CKGE_TMP_i s CKGE_TMP_i</font> | |
<font 11pt/inherit;;#000000;;inherit>is too difficult to estimate</font> | |
<font 11pt/inherit;;#000000;;inherit>,</font> | |
<font 11pt/inherit;;#000000;;inherit>we express</font> | |
<font 11pt/inherit;;#000000;;inherit>CKGE_TMP_i s CKGE_TMP_i</font> | |
<font 11pt/inherit;;#000000;;inherit>using</font> | |
<font 11pt/inherit;;#000000;;inherit>CKGE_TMP_i ρ CKGE_TMP_i</font> | |
<font 11pt/inherit;;#000000;;inherit>, e.g.,</font> | |
<font 11pt/inherit;;#000000;;inherit>s CKGE_TMP_i</font> | |
<font 11pt/inherit;;#000000;;inherit>=</font> | |
<font 11pt/inherit;;#000000;;inherit>r CKGE_TMP_i</font> | |
<font 11pt/inherit;;#000000;;inherit>ρ CKGE_TMP_i</font> | |
<font 11pt/inherit;;#000000;;inherit>,</font> | |
<font 11pt/inherit;;#000000;;inherit>where</font> | |
<font 11pt/inherit;;#000000;;inherit>r CKGE_TMP_i</font> | |
<font 11pt/inherit;;#000000;;inherit>is</font> | |
<font 11pt/inherit;;#000000;;inherit>a parameter.</font> | |
<font 11pt/inherit;;#000000;;inherit>The model is</font> | |
<font 11pt/inherit;;#000000;;inherit>now</font> | |
<font 11pt/inherit;;#000000;;inherit>d</font> | |
<font 11pt/inherit;;#000000;;inherit>CKGE_TMP_i ρ CKGE_TMP_i</font> | |
<font 11pt/inherit;;#000000;;inherit>/d</font> | |
<font 11pt/inherit;;#000000;;inherit>CKGE_TMP_i t CKGE_TMP_i</font> | |
<font 11pt/inherit;;#000000;;inherit>=</font> | |
<font 11pt/inherit;;#000000;;inherit>CKGE_TMP_i r CKGE_TMP_i</font> | |
<font 11pt/inherit;;#000000;;inherit>CKGE_TMP_i ρ CKGE_TMP_i</font> | |
<font 11pt/inherit;;#000000;;inherit>which</font> | |
<font 11pt/inherit;;#000000;;inherit>is the Mathus (1798) population growth theory.</font> | |
<font 11pt/inherit;;#000000;;inherit>We use p</font> | |
<font 11pt/inherit;;#000000;;inherit>arameterization</font> | |
<font 11pt/inherit;;#000000;;inherit>to describe our understanding of the processes. It</font> | |
<font 11pt/inherit;;#000000;;inherit>is</font> | |
<font 11pt/inherit;;#000000;;inherit>a vital technique for</font> | |
<font 11pt/inherit;;#000000;;inherit>representing cross-scale and cross-compartment interactions</font> | |
<font 11pt/inherit;;#000000;;inherit>in complex systems</font> | |
<font 11pt/inherit;;#000000;;inherit>.</font> | |
<font 11pt/inherit;;#000000;;inherit>(</font> | |
<font 11pt/inherit;;#00b0f0;;inherit>YS, 12.06.2024</font> | |
<font 11pt/inherit;;#000000;;inherit>).</font> | |
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