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# CLIMA-Land
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## About
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Note that CliMA Land is being refactored. During this process, no new feature will be added and only bug fix is allowed. We wish to present the refactored CliMA Land in the near future, please wait for the new version v0.2.
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This project is supposed to be a community effort, leveraging all the work that has been done in Land Surface Modeling from various groups around the world. The ultimate goal here is to build a Soil-Plant-Atmosphere continuum (SPAC) bio-physical model that represents the state of the art and can be coupled to the Climate-Machine, i.e. Caltech's CLIMA initiative. The model will include multi-layer soil and canopy properties and models "observables" that can be used as constraint, e.g. Solar Induced Chlorophyll Fluorescence (SIF) on the leaf-level propagated through the canopy, reflectance in various bands as measured from space, soil and vegetation moisture content. A specific focus will be on water-carbon feedbacks by testing recent developments in stomatal optimization theories as well as plant hydraulics. We will try to adhere to some [coding structure](https://github.com/gbonan/CLM-ml_v0) developed by Gordan Bonan but implement parts from other programs, such as [SCOPE](https://github.com/Christiaanvandertol/SCOPE).
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5. Make sure you have these files in the folder before heading to next step
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-`Project.toml`
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-`Manifest.toml`
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-`clima-land.jl`
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-`era5_2019_55_329_1X.csv`
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6. run the model for a site at 26.5N 115.5E for the year 2019
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```shell
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$ julia --project
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```
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```julia
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julia>include("clima-land.jl");
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julia> params =query_data(26.5, 115.5, 2019);
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julia>clima_land!(params...);
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```
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7. you should get a file named `era5_2019_117_296_1X.simulation.hs.csv` after a few minutes
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You will need to edit the functions we provided if you need to change more parameters, or output more results. Feel free to contact us through email or Github Issues (if this tutorial does not work).
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## References
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Please cite the following when you use the CliMA Land (v0.1)
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pages = {112497}
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}
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```
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### Canopy complexity
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Y. Wang, C. Frankenberg. 2022.
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On the impact of canopy model complexity on simulated carbon, water, and solar-induced chlorophyll fluorescence fluxes.
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