Add Tutorial Chapter 3: Multiple grid cells MICM box model#509
Add Tutorial Chapter 3: Multiple grid cells MICM box model#509boulderdaze merged 10 commits intomainfrom
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… MICM box model Co-authored-by: mattldawson <[email protected]>
Co-authored-by: mattldawson <[email protected]>
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@copilot this needs to be added to the CMakeLists.txt file that builds the other tests
docs/source/tutorials/chapter3.rst
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| for multiple independent air masses simultaneously. | ||
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| Each grid cell represents an independent set of well-mixed air masses, | ||
| allowing us to model different atmospheric conditions (temperature, pressure, initial concentrations) |
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| allowing us to model different atmospheric conditions (temperature, pressure, initial concentrations) | |
| allowing us to model different atmospheric conditions (temperature, pressure, concentrations) |
docs/source/tutorials/chapter3.rst
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| The key advantage is that a single call to ``micm%solve`` processes all grid cells: | ||
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| .. code-block:: fortran | ||
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| call micm%solve(time_step, state, solver_state, solver_stats, error) | ||
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| This is much more efficient than calling the solver separately for each grid cell, | ||
| especially when dealing with large numbers of atmospheric grid cells in climate or weather models. | ||
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| To build and run the example, follow the same build instructions as in Chapter 1 and 2. | ||
| The compilation command would be: |
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| The key advantage is that a single call to ``micm%solve`` processes all grid cells: | |
| .. code-block:: fortran | |
| call micm%solve(time_step, state, solver_state, solver_stats, error) | |
| This is much more efficient than calling the solver separately for each grid cell, | |
| especially when dealing with large numbers of atmospheric grid cells in climate or weather models. | |
| To build and run the example, follow the same build instructions as in Chapter 1 and 2. | |
| The compilation command would be: | |
| A call to ``micm%solve`` with a state that represents multiple grid cells is only required once per time step; all grid cells are solved simultaneously in a multi-grid cell micm state. | |
| .. code-block:: fortran | |
| call micm%solve(time_step, state, solver_state, solver_stats, error) | |
| This is much more efficient than calling the solver separately for each grid cell, | |
| especially when dealing with large numbers of atmospheric grid cells in climate or weather models. | |
| To build and run the example, follow the same build instructions as in Chapter 1 and 2. | |
| The compilation command would be: |
docs/source/tutorials/chapter3.rst
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| **Analysis of Results:** | ||
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| Notice how each grid cell evolves differently: | ||
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| - **Grid Cell 1** (273K): Starting with concentrations of 1.0, the cooler temperature leads to slower reaction rates | ||
| - **Grid Cell 2** (283K): Starting with higher concentrations (2.0), shows proportionally similar evolution patterns but at roughly double the scale | ||
| - **Grid Cell 3** (293K): Starting with lower concentrations (0.5), the warmer temperature leads to faster reaction rates but proportionally similar patterns | ||
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| The chemical mechanism responds to both the initial concentrations and the temperature conditions. | ||
| You can observe that Grid Cell 2, which starts with twice the concentration of Grid Cell 1, | ||
| maintains roughly twice the final concentrations, demonstrating the linear scaling behavior of the system. | ||
| Meanwhile, the different temperatures lead to slightly different reaction efficiencies across the cells. | ||
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| This multiple grid cell approach is essential for atmospheric modeling applications | ||
| where hundreds or thousands of grid cells need to be processed simultaneously | ||
| while maintaining computational efficiency. |
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Hi @mattldawson, @K20shores, should we remove this paragraph or keep it? The values are fabricated, so the analysis is not meaningful, but I don't know. What do you think?
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I’m actually thinking of removing this. It feels too AI-generated.
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Oh yeah, I don't think we need an analysis. All we need to say is that the results differ in each grid cell due to the varying conditions.
This PR adds a new Tutorial Chapter 3 that extends the MICM box model from Chapter 2 to demonstrate handling multiple grid cells simultaneously with a single call to the MICM solver.
What's Added
New Tutorial Documentation (
docs/source/tutorials/chapter3.rst)New Fortran Example Program (
fortran/test/fetch_content_integration/test_micm_multiple_grid_cells.F90)cell_strideandvar_stridefor multi-cell data accessUpdated Tutorial Index (
docs/source/tutorials/tutorials.rst)Key Features
The tutorial demonstrates several important concepts:
micm%solve()call handles all grid cells simultaneouslystate%concentrations(1 + (cell_id - 1) * cell_stride + (species_index - 1) * var_stride)Example Usage
This tutorial provides essential foundation knowledge for atmospheric modeling applications where hundreds or thousands of grid cells need efficient chemical mechanism processing.
Fixes #205.
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