Changes between Version 7 and Version 8 of Doc/Footprint
- Timestamp:
- 04/11/23 16:10:34 (15 months ago)
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Doc/Footprint
v7 v8 15 15 Is a full-fledged climate model needed to answer my research question? Could a simple, less computationally-expensive model (such as OSCAR for present-day and future climate or iLOVECLIM for paleoclimates) provide me the answer? 16 16 17 If the IPSL climate model is what you need to do your research, then it is important to minimize the number of simulations that haverun.17 If the IPSL climate model is what you need to do your research, then it is important to minimize the number of simulations that you have to run. 18 18 19 == Are there experiments that already exist to answer my research question ?==20 Are there experiments (e.g., from CMIP6 ) that already exist and that can be used to answer my research question? Maybe these experiments are not exactly what I need but their preliminary analysis can speed up and narrow down the design of the experiments I need to run.19 == Are there experiments that already exist to answer my research question? == 20 Are there experiments (e.g., from CMIP6 on /bdd/CMIP6 on spirit) that already exist and that can be used to answer my research question? Maybe these experiments are not exactly what I need but their preliminary analysis can speed up and narrow down the design of the experiments I need to run. 21 21 22 == Is my experimental design well thought out? ==22 == Is my experimental design well thought through? == 23 23 Do I have an estimate of the signal-to-noise ratio that I am looking for in my experiments? If my experimental design requires running an ensemble of simulations, do I have an estimate of the ensemble size required and can this ensemble size be reduced by a better experimental design (e.g., by increasing the forcing)? 24 24 25 25 == Notify the configuration manager == 26 Before using a model s configuration, you should always notify your manager. This will ensure that your study is well thought outand prepared.26 Before using a model configuration, you should always discuss with your manager or a knowledgeable colleague. This will ensure that your study is well thought through and prepared. 27 27 28 == Can I share my results to help another researcher 28 == Can I share my results to help another researcher? == 29 29 Maybe my climate experiments can be useful to someone else at IPSL. Discuss your experimental design around and pool with other scientists at IPSL to run a joint set of experiments with all the climate model output you need. 30 30 … … 34 34 You should check that you have all the diagnostics you expect will be needed to analyze the results later on. As high-frequency diagnostics slow down the model and use a lot of mass storage, you should limit the high-frequency diagnostics to what is required. It may be appropriate to output diagnostics at a high-frequency resolution only for a sub-period of the simulation. 35 35 36 == Check everything before launch the production run ==37 First, run short simulations in TEST or DEVT mode to check that you have all the diagnostics you need and that the model is doing what you expect it to do. Always compile in `prod` mode for the production experiments to get most optimization out of the compiler.36 == Check everything before launching the production run == 37 First, run short simulations in TEST or DEVT mode to check that you have all the diagnostics you need and that the model is doing what you expect it to do. Always compile in `prod` mode for the production experiments to get most optimization out of the Fortran compiler. 38 38 39 39 If you plan to launch an ensemble of simulations: start with only one member, wait to have outputs and check them before starting all other members. Indeed it is easier and less consuming to clean and redo a short simulation instead of a full ensemble. … … 45 45 Your model experiments are now running. 46 46 47 You may check during the run that the simulations are doing what you expect them to do. You may also check that their computational cost is what you expect.47 You may check during the run that the simulations are doing what you expect them to do. You may also check that their computational cost is in line with what you expect. 48 48 49 Example: despite all your attention, your experiments turn out to be bugged, the experimental design was inappropriate or some diagnostics are missing. These things happen, do not blame yourself too much, analyze your errors and you may rerun the simulations with the corrected experimental design or setup! High research quality remains what we aim for.49 Note: despite all your attention, your experiments turn out to be bugged, the experimental design was inappropriate or some diagnostics are missing. These things happen, do not blame yourself too much, analyze your errors and you may rerun the simulations with the corrected experimental design or setup! High research quality remains what we aim for. 50 50 51 == Share your results with other researcher ==51 == Share your results with other researchers == 52 52 Your model experiments are done and it is time to analyze them. 53 53
