[!IMPORTANT] On June 26 2024, Linux Foundation announced the merger of its financial services umbrella, the Fintech Open Source Foundation (FINOS), with OS-Climate, an open source community dedicated to building data technologies, modeling, and analytic tools that will drive global capital flows into climate change mitigation and resilience; OS-Climate projects are in the process of transitioning to the FINOS governance framework; read more on finos.org/press/finos-join-forces-os-open-source-climate-sustainability-esg
============================== Physical climate risk calculation engine.
An OS-Climate project, physrisk is a library for assessing the physical effects of climate change and thereby the potential benefit of measures to improve resilience.
An introduction and methodology is available here.
Physrisk is primarily designed to run 'bottom-up' calculations that model the impact of climate hazards on large numbers of individual assets (including natural) and operations. These calculations can be used to assess financial risks or socio-economic impacts. To do this physrisk collects:
Hazard indicators are on-boarded from public resources or inferred from climate projections, e.g. from CMIP or CORDEX data sets. Indicators are created from code in the hazard repo to make calculations as transparent as possible.
Physrisk is also designed to be a hosted, e.g. to provide on-demand calculations. physrisk-api and physrisk-ui provide an example API and user interface. A development version of the UI is hosted by OS-Climate.
The library can be run locally, although access to the hazard indicator data is needed. The library is installed via:
pip install physrisk-lib
Hazard indicator data is freely available. Members of the project are able to access OS-Climate S3 buckets. Credentials are available here. Information about the project is available via the community-hub. Non-members are able to download or copy hazard indicator data.
Hazard indicator data can be downloaded or copied from the 'os-climate-public-data' bucket. A list of the keys to copy is available from https://os-climate-public-data.s3.amazonaws.com/hazard/keys.txt
An inventory of the hazard data is maintained here (this is used by the physrisk library itself). The UI hazard viewer is a convenient way to browse data sets.
Access to hazard event data requires setting of environment variables specifying the S3 Bucket, for example:
OSC_S3_BUCKET=physrisk-hazard-indicators
OSC_S3_ACCESS_KEY=**********
OSC_S3_SECRET_KEY=**********
For use in a Jupyter environment, it is recommended to put the environment variables in a credentials.env file and do, for example:
from dotenv import load_dotenv
load_dotenv(dotenv_path=dotenv_path, override=True)
FAQs
OS-Climate Physical Risk Library
We found that physrisk-lib demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
PyPI confirms no security flaws were exploited in the Ultralytics supply chain attack and highlights improvements for safer package publishing.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.