PALM Create Static Driver (palm_csd)

In order to create comprehensive drivers for PALM runs in urban environments, PALM comes shipped with the tool palm_csd. This python3-based script was developed in the course of ​the MOSAIK project and thus is, in principal, only working for the democities Berlin, Hamburg, and Stuttgart. However, with some effort it is possible to adapt the script for other cities as well. Note that in the mid-term, palm_csd will be replaced by a more generic and universal tool based with a graphical user interface as front end.

Execution

In order to create a static driver, go to the working directory (usually ~/palm/current_version), prepare a palm_csd configuration file (see below, an exemplary file can be found here​). After set-up of the configuration file, execute palm_csd as follows:

palm_csd .csd.config.default

The static driver will be written to the directory specified in the configuration file. During compilation of the driver, palm_csd will print some more or less useful information to screen.

Configuration file

This section describes how to set-up a configuration file for creating a static driver for PALM based on pre-processed NetCDF data. In the following we will use data for Berlin, which is available via Open Access. The configuration file uses the well-known format of INI files, which are processed by the ConfigParser? package in python. It consists of the following sections:

[global]

A set of global attributes can be defined that will be passed to the static driver file. In details, the following attributes can be set (see also static driver description:

Attribute	Data type	Description
author	string	Author of the static driver. Use the format: name, email
contact	string	Contact person, format as for author
acronym	string	Institional acronym (formating rules applies to static drivers used in the ​MOSAIK project)
comment	string	Arbitrary text
data_content	string	Arbitrary text
dependencies	string	Arbitrary text
keywords	string	Arbitrary keywords
source	string	List of data sources used to generate the driver
campaign	string	Information on measurement capaign (if applicable)
location	string	Geo-location of the static driver content (if applicable)
site	string	Site description od the static driver content (if applicable)
institution	string	Institution of the driver creator
palm_version	float	PALM version for which the driver was generated (for comptatibility checks)
rotation_angle	float	Clockwise angle of rotation in degrees between North positive y axis and the y axis in the data, e.g. 0.0. This value overwrites the namelist parameter rotation_angle.
references	string	Arbitrary text

Example:

author = Bjoern Maronga, maronga@muk.uni-hannover.de
contact_person = Bjoern Maronga, maronga@muk.uni-hannover.de
acronym = LUHimuk
comment = created with palm_csd
data_content
dependencies
keywords
source
campaign
location = Berlin
site = Berlin Mitte
institution = Institute of Meteorology and Climatology, Leibniz University Hannover
palm_version = 6.0
rotation_angle = 0.0
references

[settings]

filename_out = /ldata2/MOSAIK/showcase_python lai_roof_intensive = 1.5 lai_roof_extensive = 3.0 lai_high_vegetation_default = 5.0 lai_low_vegetation_default = 1.0 lai_alpha = 5.0 lai_beta = 3.0 patch_height_default = 10.0 bridge_width = 3.0 debug_mode = False season = "summer"

[output]

path = /ldata2/MOSAIK/ file_out = winter_iop1_test version = 1

[input_01] - [input_XX]

path = /ldata2/MOSAIK/Berlin_static_driver_data pixel_size = 15.0 file_x = Berlin_CoordinatesUTM_x_15m_DLR.nc file_y = Berlin_CoordinatesUTM_y_15m_DLR.nc file_x_UTM = Berlin_CoordinatesUTM_y_15m_DLR.nc file_y_UTM = Berlin_CoordinatesUTM_x_15m_DLR.nc file_lat = Berlin_CoordinatesLatLon_y_15m_DLR.nc file_lon = Berlin_CoordinatesLatLon_x_15m_DLR.nc file_zt = Berlin_terrain_height_15m_DLR.nc file_buildings_2d = Berlin_building_height_15m_DLR.nc file_building_id = Berlin_building_id_15m_DLR.nc file_building_type = Berlin_building_type_15m_DLR.nc file_bridges_2d = Berlin_bridges_height_15m_DLR.nc file_bridges_id = Berlin_bridges_id_15m_DLR.nc file_lai = Berlin_leaf_area_index_15m_DLR_WANG_summer.nc file_vegetation_type = Berlin_vegetation_type_15m_DLR.nc file_vegetation_height = Berlin_vegetation_patch_height_15m_DLR.nc file_pavement_type = Berlin_pavement_type_15m_DLR.nc file_water_type = Berlin_water_type_15m_DLR.nc file_soil_type = Berlin_soil_type_15m_DLR.nc file_street_type = Berlin_street_type_15m_DLR.nc file_street_crossings = Berlin_street_crossings_15m_DLR.nc file_tree_height = Berlin_trees_height_clean_15m.nc file_tree_crown_diameter = Berlin_tree_crown_15m_DLR.nc file_tree_trunk_diameter = Berlin_trees_trunk_clean_15m.nc file_tree_type = Berlin_trees_type_15m_DLR.nc file_patch_height = Berlin_vegetation_patch_height_15m_DLR.nc file_vegetation_on_roofs = Berlin_vegetation_on_roofs_15m_DLR.nc

[domain_root]

pixel_size = 15.0 origin_x = 19605 origin_y = 20895 nx = 200 ny = 200 buildings_3d = False dz = 15.0 allow_high_vegetation = True generate_vegetation_patches = True use_palm_z_axis= False interpolate_terrain = False domain_parent vegetation_on_roofs = True street_trees = True canopy_patches = True

[domain_01] - [domain_NXX]

pixel_size = 1.0 origin_x = 19605 origin_y = 20895 nx = 1023 ny = 1023 buildings_3d = True dz = 1.0 allow_high_vegetation = False generate_vegetation_patches = True use_palm_z_axis= True interpolate_terrain = True domain_parent = root vegetation_on_roofs = True street_trees = True canopy_patches = True

Required input data

Best practices

Literature

• Heldens et al.
• Mikhailovic & Lalic
• Markkanen et al.