Module load_tif
Warning: we advise to use instead module local
This IGM module is designed to load spatial 2D raster data from any .tif file present in the working directory (folder) and transform each of them into TensorFlow variables. The name of the file becomes the name of the variable. For example, the file topg.tif will yield the variable topg. At a minimum, the module is expected to import basal topography represented by the topg variable. Additionally, it can derive basal topography from ice thickness and surface topography. Other fields present in the folder will also be converted to TensorFlow variables, allowing them to be accessed in the code via state.myvar. For instance, providing the icemask variable can help define an accumulation area, which is useful for modeling individual glaciers and preventing overflow into neighboring catchments.
The module provides functionality for resampling the data using the coarsen parameter, which can be set to values like 2, 3, or 4 (with a default value of 1 indicating no coarsening). It also supports cropping the data by setting the crop parameter to True and specifying the desired bounds.
Additionally, by setting icemask_invert to True, an ice mask can be generated from an ESRI Shapefile specified by the icemask_shapefile parameter. This mask can identify areas that should contain glaciers or remain glacier-free, based on the icemask_include parameter.
This module depends on rasterio.
Contributors: G. Jouvet, A. Henz (icemask add-on)
Config Structure
load_tif:
coarsen: 1
crop: False
xmin: -1.0e+20
xmax: 1.0e+20
ymin: -1.0e+20
ymax: 1.0e+20
icemask_include: False
icemask_shapefile: icemask.shp
icemask_invert: False
Parameters
| Name | Type | Units | Description | Default Value |
|---|---|---|---|---|
| coarsen | int | dimless | Coarsen the data from NetCDF file by a certain (integer) number (2 would be twice coarser ignore data each 2 grid points) | 1 |
| crop | bool | dimless | Crop the data from NetCDF file with given top/down/left/right bounds | False |
| xmin | float | m | Crop the data from NetCDF file with the given minimum x bound | -1e+20 |
| xmax | m | float | Crop the data from NetCDF file with the given maximum x bound | 1e+20 |
| ymin | float | m | Crop the data from NetCDF file with the given minimum y bound | -1e+20 |
| ymax | float | m | Crop the data from NetCDF file with the given maximum y bound | 1e+20 |
| icemask_include | bool | dimless | Include ice mask in the NetCDF file | False |
| icemask_shapefile | str | dimless | Shapefile for ice mask | icemask.shp |
| icemask_invert | bool | dimless | Invert the ice mask | False |