Preprocessing system for the TerM (INM RAS-MSU land surface model)
Project description
Preprocessing system (TerMPS) delivering the land surface parameters for the INM RAS-MSU (TerM) model.
Preprocessing system was developed in the Python programming language (Python 3) in the form of a py-module (preprocessing_module.py). The module (preprocessing_module.py) consists of several parts.
- Functions for generating data on an arbitrary uniform latitude-longitude grid:
- read_data
- create_grid
- select_cells
- calc_area_cell
- calc_weighted_average
- calc_weighted_average4grid (multiprocessor mode)
- calc_percentage_type
- Functions for generating data on an arbitrary vertical (depth) grid:
- calc_layer_bounds
- calc_delta_layer
- recalc_levels
- Additional functions:
- write_netcdf_2d
- write_netcdf_3d
- convert_tiff_to_netcdf
A detailed description of the package is presented on the Wiki.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
termps-0.0.2.1.tar.gz
(9.9 kB
view details)
Built Distribution
File details
Details for the file termps-0.0.2.1.tar.gz
.
File metadata
- Download URL: termps-0.0.2.1.tar.gz
- Upload date:
- Size: 9.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7ed4fd8b4d063918c34e4e738d05d52cd9ea858244267779c56da54b954c78e9 |
|
MD5 | ae267c653b1e0d18af44c802ade31c8f |
|
BLAKE2b-256 | 683dfa07271756426cb45fa859e50e51789924b2bd15b601d8ae8a9f03fd6d3a |
File details
Details for the file TerMPS-0.0.2.1-py3-none-any.whl
.
File metadata
- Download URL: TerMPS-0.0.2.1-py3-none-any.whl
- Upload date:
- Size: 9.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 118dad7bb1a1cf7493e912067622414b23377b392e3ddfc7f56a60a6a6585683 |
|
MD5 | 0af538a92551c2b37af27884403c9fc0 |
|
BLAKE2b-256 | fe5c20b23e8a445bc476652f8734f97ed74d40bd0a81272b0a6c805eac32ecbe |