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Atms 4320 Lab 2 Anthony R. Lupo
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Lab 2 -Methodologies for evaluating the total derviatives in the fundamental equations of hydrodynamics Recall that the total derivative can be exact “Independent of path” or path dependent:
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Lab 2 -Methodologies for evaluating the total derviatives in the fundamental equations of hydrodynamics Total derivative composed of the eulerian and advective derivative: In evaluating the derivative, we estimate the partial derivative by assuming that the function is well behaved, or that the changes are “linear” from point a to point b.
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Lab 2 -Methodologies for evaluating the total derviatives in the fundamental equations of hydrodynamics For most horizontal fields, that assumption is reasonable, but there are many places where this assumption fails (i.e frontal zones). How do we estimate the derivative given a field of regularly spaced data? Given: the following expression:
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Lab 2 -Methodologies for evaluating the total derviatives in the fundamental equations of hydrodynamics we can “estimate” temperature change in x (foreward differencing) at point 2,2 for example: or we can estimate using a backward difference:
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Lab 2 -Methodologies for evaluating the total derviatives in the fundamental equations of hydrodynamics Derivative estimates are most accurate when we use more points, so consider a “centered difference” This can also be represented as the difference of two “Taylor” equations
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Lab 2 -Methodologies for evaluating the total derviatives in the fundamental equations of hydrodynamics Here they are!
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Lab 2 -Methodologies for evaluating the total derviatives in the fundamental equations of hydrodynamics With these equations we can also get an expression for the second derivative (just add (1) and (2) above):
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Lab 2 -Methodologies for evaluating the total derviatives in the fundamental equations of hydrodynamics This is called “finite differencing” since we are estimating derivatives using discrete estimates for the derivative quantities! More precisely, what we have is second order finite differencing. We can derive higher order differences from Taylor series expansions. (ATMS 4800/7800).
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Lab 2 -Methodologies for evaluating the total derviatives in the fundamental equations of hydrodynamics Laplacian operator:
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Lab 2 -Methodologies for evaluating the total derviatives in the fundamental equations of hydrodynamics Truncation error typically on order of the highest order term retained in estimate, thus for second order differencing, truncation error is on order of: For 4th order differencing on order of:
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Lab 2 -Methodologies for evaluating the total derviatives in the fundamental equations of hydrodynamics Truncation Error = Difference equation - differential equation Stability of Calculations: Courant - Friedrichs-Levy (CFL) condition for computational stability
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Lab 2 -Methodologies for evaluating the total derviatives in the fundamental equations of hydrodynamics Typically used for evaluating schemes that estimate total derivative (e.g. leapfrog scheme)
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Lab 2 -Methodologies for evaluating the total derviatives in the fundamental equations of hydrodynamics Where c is phase speed of the upper air wave (propagation speed). Typically on order of 10 m s -1 If CFL = 1 (neutral stability, no growth, but solution propagates with computational error and modes) If CFL < 1 (stable solutions, solution propagates with computational error and modes) If CFL > 1 (computational unstable, solution grows exponentially without bound)
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