Skip to main content

Urban-scale climate visualization and ICON model plotting framework

Project description

UrbanPlot – Urban Climate Visualization and Evaluation Framework


Introduction

UrbanPlot is a Python-based framework for visualization and evaluation of climate model simulations on urban and regional scales. It provides a standardized workflow for processing, harmonizing, comparing, and visualizing climate datasets from numerical models and observational products. UrbanPlot combines automated scientific data processing with publication-quality cartographic visualization. The framework supports temporal, unit, coordinate, and grid harmonization workflows, allowing datasets with different structures and resolutions to be compared consistently. UrbanPlot is particularly designed for ICON-based climate simulations but can be extended to other xarray-compatible climate datasets. For a comprehensive introduction and detailed user documentation, please consult the project documentation.

Key Features

  • Climate Model Evaluation
    • Compare climate simulations against observational and reference datasets
  • Automated Harmonization
    • Temporal harmonization
    • Unit harmonization
    • Coordinate harmonization
    • Grid harmonization
  • Urban Climate Visualization
    • Publication-quality maps
    • OpenStreetMap integration
    • ICON triangular grid support
  • Flexible Processing Modes
    • Standalone visualization mode
    • Model-reference comparison mode
    • Time-series generation workflows
  • Scientific Python Ecosystem
    • xarray
    • Cartopy
    • GeoPandas
    • OSMnx
    • NumPy
  • Configuration-Driven Design
    • Reproducible workflows
    • User-defined variables
    • Flexible processing pipelines

General Information

The UrbanPlot documentation provides detailed information on installation, configuration, data processing, examples, and developer workflows. Software installation and environment setup are described in the Installation Guide. New users should begin with the Quick Start Guide, which demonstrates the complete workflow from configuration generation to figure creation. Configuration options are documented in the Configuration Guide, including the main runtime configuration, ICON plotting configuration, and OpenStreetMap configuration. The scientific processing workflow is described in the Data Processing Guide, including temporal harmonization, unit harmonization, coordinate harmonization, and grid harmonization. Practical examples for temperature and precipitation analysis are provided in the Examples section. Developers interested in extending UrbanPlot can consult the API Reference, the Developer Guide, and the Release Guide. A complete overview of the available documentation is provided on the documentation Home page.

Getting Help

If you cannot find the answer in the documentation, please open an issue in the project repository.

Authors

See AUTHORS.TXT for a complete list of contributors.

Contributing

Contributions are welcome through the CLM-Community development workflow. Please consult the contribution guidelines and coding standards before submitting changes.

License

Copyright (C) 2024-2026, Karlsruhe Institute of Technology

UrbanPlot is licensed under the Apache-2.0. See LICENSES/Apache-2.0.txt for the full license text.

Bundled third-party components may be distributed under different licenses. All applicable license texts are collected in the LICENSES/ directory:

License Components
Apache-2.0 additional third-party components

SPDX-License-Identifier: Apache-2.0

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

urbanplot-0.1.7.tar.gz (75.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

urbanplot-0.1.7-py3-none-any.whl (87.6 kB view details)

Uploaded Python 3

File details

Details for the file urbanplot-0.1.7.tar.gz.

File metadata

  • Download URL: urbanplot-0.1.7.tar.gz
  • Upload date:
  • Size: 75.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.0

File hashes

Hashes for urbanplot-0.1.7.tar.gz
Algorithm Hash digest
SHA256 39331ab4f62690f1b6332d04551ca83b5edd8d558f418c9bcea1ccd784fcefe6
MD5 a515045669dc09d56db3bb16e3dd82cf
BLAKE2b-256 cb691223fac1a14dbca2c8904443cba250175e610e0f730923024c0f4caeb289

See more details on using hashes here.

File details

Details for the file urbanplot-0.1.7-py3-none-any.whl.

File metadata

  • Download URL: urbanplot-0.1.7-py3-none-any.whl
  • Upload date:
  • Size: 87.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.0

File hashes

Hashes for urbanplot-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 c7cb13d212711265b23d77200d874a0861a6a754c43fa23c8677d5da8b9c5ee4
MD5 5289bbcc63a7d063d0fc26669c3e5028
BLAKE2b-256 c66b2a63a6dcd40f44e8d13567ced0a3f4edd1634128207451dba715bdaeaad4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page