46 lines
1.5 KiB
Markdown
46 lines
1.5 KiB
Markdown
## What is new?
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There is one new added component: `AdvectionKernel`s which is an "interface" (i.e an abstract class).
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There are two implementations simple Euler integration called `EulerIntegrationKernel` and
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Runge Kutta integration called `RK4AdvectionKernel`.
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Main function gives a good example of how to use the library. Especially the following function which prints the
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position of the particle at every time step.
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```Cpp
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template <typename AdvectionKernelImpl>
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void advectForSomeTime(const UVGrid &uvGrid, const AdvectionKernelImpl &kernel, double latstart, double lonstart) {
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// Require at compile time that kernel derives from the abstract class AdvectionKernel
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static_assert(std::is_base_of<AdvectionKernel, AdvectionKernelImpl>::value, NotAKernelError);
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double lat1 = latstart, lon1 = lonstart;
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for(int time = 100; time <= 10000; time += AdvectionKernel::DT) {
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cout << "lat = " << lat1 << " lon = " << lon1 << endl;
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auto [templat, templon] = kernel.advect(time, lat1, lon1);
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lat1 = templat;
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lon1 = templon;
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}
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}
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```
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## Location of data
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The data path is hardcoded such that the following tree structure is assumed:
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The current assumption is that the name of the `u`s and `v`s are flipped since this is the way the data was given to us.
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```
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data/
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grid.h5
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hydrodynamic_U.h5
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hydrodynamic_V.h5
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interactive-track-and-trace/
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opening-hdf5/
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...
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```
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## Compiling
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Let the current directory be the `src` directory. Run:
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```shell
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mkdir build
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cd build
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cmake ..
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make
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``` |