Multi-scenario Extreme Weather Simulator (MEWS)
Project description
![MEWS](documentation/figures/logo.png)
The Multi-scenario Extreme Weather Simulator (MEWS) is a Python package designed to add extreme weather events to existing weather data or projections. MEWS does not simulate weather but rather adds variations in weather for the purpose of probabilistic resilience analyses of infrastructure systems.
Currently, MEWS provides the capacity to add extreme events that are initiated via a Markov chain. When an extreme events occurs, sampling from a probability distribution indicates the total integrated level of additional energy added to the weather signal (wind,temperature,humidity etc…) beyond the dataset. MEWS also provides parameters to increase the frequency (Markov chain probabilities) and severity (shifting parameters for probability distributions) of extreme events.
In general MEWS can add any function to a time series allowing gradual climate trends to also be included in the overall weather signals.
Significant enhancements to MEWS are envisioned that provide reasonably realistic selection of hurricane futures, extreme precipitation, and extreme heat and cold scenarios for resilience analysis.
Currently the infrastructure focus has been for Building Energy Simulation and MEWS can read/write altered weather files for Energy Plus (https://energyplus.net/) and DOE-2 (https://www.doe2.com/) weather files. Both of these provide a rich library of historic and Typical Meteorological weather inputs around the world. Future connections will link MEWS to NOAA data sources.
The DOE-2 capability is contingent on forming a legal license agreement with James Hirsch and Associates (www.doe2.com) and placing the BIN2TXT.EXE and TXT2BIN.EXE utilities that come with DOE-2.2 into the ‘third_party_software’ folder.
MEWS has only been tested on Windows using Python 3.8.5 more robust testing is under development. Documentation will also follow in the near future.
License
See the LICENSE.md file for license details
Organization
- Directories
ci - UNDER CONSTRUCTION - eventually testing via travis-ci
mews - Python package
documentation - UNDER CONSTRUCTION - eventually documentation on ReadTheDocs
- examples - two scripts showing how to use the ‘Extremes’ class to create
heat waves
Contact
Daniel Villa, Sandia National Laboratories (SNL) dlvilla@sandia.gov
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