DOI: 10.5281/zenodo.8159182
title: Challenges of constructing and selecting the "perfect" initial and boundary conditions for the LES model PALM

description: <strong>README</strong> All the supplementary data needed for the reproduction of the experiment described in the manuscript are provided on this ZENODO repository. The supplementary data includes the following:<br> 1. IBC-pre-post-process.zip which contains:<br> - Radio sounding data used for vertical profile statistical and visual comparison. They are stored as "CHMU-soundings.dat" in the CHMU_soundings directory<br> - code for making the figures for vertical profile comparison between the WRF and PALM model<br> - code for performing the statistical analysis for the vertical profiles of PALM and the WRF model<br> - code for making the scatter plots of PALM and WRF vertical profiles<br> - code for making the heatmaps of the PALM model data 2. PALM_code.zip contains the source code for the current version of the PALM model used for this experiment 3. palm_inputs.zip contains:<br> - static driver file<br> - dynamic driver file<br> - configuration files for the first PALM run (p3d), and the configuration files for the restart runs (p3dr)<br> for each of the performed simulations 4. postproc.zip contains:<br> - the code for performing statistical analysis for minimum (min), average (Avg), and maximum (max) three-day averaged differences for the WRF and PALM model outputs<br> - the code for making figures of the differences between selected pairs of WRF and PALM model outputs 5. wrf_namelist.zip contains:<br> - list of files in which the setups/configuration for the WRF ensemble used in this experiment <strong>PALM MODEL INSTALLATION AND USAGE GUIDE</strong> A. Installation: 1. First, make sure to satisfy the Software Requirements. On Debian-based Linux Distributions, this can be achieved by the following command: sudo apt-get install gfortran g++ make cmake coreutils libopenmpi-dev openmpi-bin libnetcdff-dev netcdf-bin libfftw3-dev python3-pip python3-pyqt5 flex bison ncl-ncarg 2. Also, some additional python dependencies are needed, which can be installed using pip. In case you want to use a virtual environment for these dependencies, please make sure to create one first. Afterwards, you can install the python dependencies by executing the following command: python3 -m pip install -r requirements.txt 3. Now the PALM model system can be installed with the following commands (please replace with the desired installation directory): export install_prefix=""<br> bash install -p ${install_prefix}<br> export PATH=${install_prefix}/bin:${PATH} 4. The following optional command permanently adds this installation to your bash environment: echo "export PATH=${install_prefix}/bin:\${PATH}" &gt;&gt; ~/.bashrc 5. Type bash install -h to get all available options of the install script. During installation, the script calls the respective install script of all packages in this repository and installs them to the chosen directory. Therefore, it is not necessary to manually install any of the packages. You can test your installation with the following commands: palmtest --cases urban_environment_restart --cores 4 B. Usage: After a successful installation, the executables for all packages have been linked into the directory /bin and a default PALM configuration file can be found at /.palm.config.default. In case you have installed the python dependencies inside a virtual environment, that environment needs to be active whenever you wand to use PALM. For usage of each of the packages, please refer to their individual documentation. Next, you need to create your first PALM setup in order to start a simulation. To get a simple preconfigured setup and start your first PALM simulation, please execute the following sequence of commands: mkdir -p "${install_prefix}/JOBS/example_cbl/INPUT"<br> cp "packages/palm/model/tests/cases/example_cbl/INPUT/example_cbl_p3d" "${install_prefix}/JOBS/example_cbl/INPUT/"<br> cd ${install_prefix}<br> palmrun -r example_cbl -c default -a "d3#" -X 4 -v -z