UMEP Core

Setup

• Make sure you have a Python installation on your system
• Install vscode and github apps.
• Install uv package manager (e.g. pip install uv).
• Clone repo.
• Run uv sync from the directory where pyproject.toml in located to install .venv and packages.
• Select .venv Python environment.
• FYI: Recommended settings and extensions are included in the repo. Proceed if prompted to install extensions.
• Develop and commit to Github often!

Demo

See the demo notebook file at /demo.py.

Also, a test with GBG data is found in /solweig_gbg_test.py

The demo and the test uses the datasets included in the tests folder

Original code

The code reproduced in the umep folder is adapted from the original GPLv3-licensed code by Fredrik Lindberg, Ting Sun, Sue Grimmond, Yihao Tang, Nils Wallenberg.

The original code has been modified to work without QGIS to facilitate Python workflows.

The original code can be found at: UMEP-processing.

This modified code is licensed under the GNU General Public License v3.0.

See the LICENSE file for details.

Please give all credit for UMEP code to the original authors and cite accordingly.

© Copyright 2018 - 2020, Fredrik Lindberg, Ting Sun, Sue Grimmond, Yihao Tang, Nils Wallenberg.

Lindberg F, Grimmond CSB, Gabey A, Huang B, Kent CW, Sun T, Theeuwes N, Järvi L, Ward H, Capel- Timms I, Chang YY, Jonsson P, Krave N, Liu D, Meyer D, Olofson F, Tan JG, Wästberg D, Xue L, Zhang Z (2018) Urban Multi-scale Environmental Predictor (UMEP) - An integrated tool for city-based climate services. Environmental Modelling and Software.99, 70-87 https://doi.org/10.1016/j.envsoft.2017.09.020

Demo Data

Two seprated demo dataset are included

ATENS (vector data)

Tree Canopies

Copernicus

Trees

https://walkable.cityofathens.gr/home

Buildings

http://gis.cityofathens.gr/layers/athens_geonode_data:geonode:c40solarmap

Gothenburg (raster data)

Standard dataset used in tutorials (https://umep-docs.readthedocs.io/en/latest/Tutorials.html)