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CLIMADA Project

CLIMADA Project
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Language

Jupyter Notebook, Python

Tool Type

API, Manual

License

GNU General Public License version 3

Version

default

About the tool Responsible

CLIMADA Project

CLIMADA Project
What problems does it solve?

CLIMADA solves the problem of assessing climate risks and adaptation options by providing an open-source software framework that enables researchers, policymakers, and businesses to analyze the impacts of natural disasters and explore adaptation strategies, facilitating informed decision-making in the context of climate change.

How does the tool work?

CLIMADA is an open-source software program that allows for the assessment of climate risks and adaptation options. It works by simulating the impacts of natural phenomena at high resolution, using historical and probabilistic data. Users can analyze potential damage and explore adaptation strategies for different climate scenarios.

Open standards

CLIMADA uses open standards such as the Data API to provide access to historical and probabilistic datasets of extreme weather events. It is also based on Python and follows the guidelines of the GNU General Public License Version 3, promoting transparency and collaboration in software development.

Sector
Science and Technology
Environment and Natural Disaster
Functionality
Data collection analysis and visualization
Data interoperability
Geolocation
Sustainable development goals
Climate action
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Connect with the Development Code team and discover how our carefully curated open source tools can support your institution in Latin America and the Caribbean. Contact us to explore solutions, resolve implementation issues, share reuse successes or present a new tool. Write to [email protected]

Contact us
CLIMADA Simulation Model Framework CLIMADA Simulation Model Framework

Diagram showing how CLIMADA integrates climate scenarios, hazards, vulnerability and exposure to generate risk analysis and assess resilience measures.

Spatial distribution of exposure value in London and Mumbai Spatial distribution of exposure value in London and Mumbai

Maps showing exposure value in USD based on luminosity (Lit), population (Pop), and their combination (Lit*Pop) for London and Mumbai.

Flooded Area in Pakistan Between 01 and 29 August 2022 Flooded Area in Pakistan Between 01 and 29 August 2022

Comparison of flooded areas observed by satellites and estimated by models in Pakistan during August 2022.

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