Notebooks
Community Resilience Research Using IN-CORE - Case Study with 2011 Tornado Event at Joplin, MO
Chen Wang, Jong Lee, Chris Navarro, Rashmil Panchani, Yong Wook Kim, Y-Lan Yang, Rob Kooper, Vismayak Mohanarajan, Wanting Lisa Wang, Lisa Watkins
Community resilience research is essential for anticipating, preventing, and mitigating the impacts of natural and anthropogenic disasters. To support this research, the Center for Risk-Based Community Resilience Planning, funded by the National Institute of Standards and Technology (NIST), developed the measurement science and metrics that can help communities in planning, adapting and recovering from disasters. This measurement science is implemented on an open-source platform called the Interdependent Networked Community Resilience Modeling Environment (IN-CORE). On IN-CORE, users can run scientific analyses that model the impact of natural hazards and community resilience against these impacts.
This Jupyter Notebook uses the Joplin, MO community and the historical 2011 EF-5 Tornado event as an example of how to use IN-CORE to analyze community resilience. The city of Joplin, Missouri, USA, was hit by an EF-5 tornado on May 22, 2011 (NIST Report). Note that IN-CORE supports various hazards including earthquake, tornado, tsunami, flood, and hurricane.
The notebook contains the following analyses: structural damage analysis on buildings, electric power network damage, building functionality, economic impact analysis on the community’s economy, population dislocation analysis, housing household recovery analysis, and retrofit analysis on buildings. In addition, the notebook demonstrates the visualization of outputs from these analyses.
Lastly, the core logic of this notebook is used to power the IN-CORE Community Resilience Playbook, an interactive guide for community resilience planning. It has been used in workshops with the city planners and government officials, making it a valuable resource for resilience planning.
Using Radicals to Empower Budding Computational Chemists
Jacob States, Isaac Spackman, Shubham Vyas
The integration of computational physical chemistry into undergraduate laboratories presents a unique opportunity for collaboration with the research software engineering field. To promote more efficient computational workflows and foster engagement among budding programmers in computational modeling, we present this notebook investigating small molecules with unpaired electrons (radicals). The CF3 radical has been extensively explored in the chemical literature owing to its importance in ozone depletion from CFCs (chlorofluorocarbons) and its unusual geometric structure which deviates from the planar structure of the CH3 radical, despite the similar size of the fluorine atom and the hydrogen atom. Exploring trends along chemical groups is commonplace in the chemical literature, and as such we have created a notebook demonstrating the facile preparation and analysis of a simple experiment substituting the F atoms in the CF3 radical for other halogens in the same group (Cl, Br, I) in a combinatorial fashion. From a single excel sheet, input files for the quantum modeling software ORCA can be reproducibly generated. Upon completion of the requested calculations, the meaningful data is systematically extracted from the produced log files. This method contrasts with traditional practices in undergraduate labs in which students manually construct input files and scroll through log files to copy/paste data and demonstrates a more efficient and reproducible alternative. The notebook not only serves as an educational tool but also acquaints future research software engineers with the specialized software developed by computational chemists.
Hawaiʻi Climate Data Portal API Demo
Jared McLean, Sean Cleveland
The Hawaiʻi Climate Data Portal (HCDP) (available https://www.hawaii.edu/climate-data-portal/data-portal/) provides access to 30+ years of climatological data collected from sensor stations around the state of Hawaiʻi and gridded data products derived from these values. The HCDP is a publicly available web application and is backed by an API that is accessible to researchers on request. This notebook demonstrates some of the abilities and usage of the HCDP API and the data provided by it. The notebook will show the user how to retrieve and map sensor station metadata and values, retrieve gridded data products, produce timeseries of station and gridded data, and generate data packages for large amounts of data that can be downloaded directly or sent to the user’s email.