https://github.com/comses-education/chime-abm

CHIME Hurricane Model with FAIR+OSG enhancements

https://github.com/comses-education/chime-abm

Science Score: 13.0%

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    Found 4 DOI reference(s) in README
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    Low similarity (8.3%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

CHIME Hurricane Model with FAIR+OSG enhancements

Basic Info
  • Host: GitHub
  • Owner: comses-education
  • License: gpl-3.0
  • Language: NetLogo
  • Default Branch: main
  • Size: 44.7 MB
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Fork of comses/chime-abm
Created about 4 years ago · Last pushed about 2 years ago

https://github.com/comses-education/chime-abm/blob/main/

# chime-abm

[![fair-software](https://img.shields.io/badge/fair--software.eu-%E2%97%8F%20%20%E2%97%8F%20%20%E2%97%8B%20%20%E2%97%8B%20%20%E2%97%8B-orange)](https://fair-software.eu)
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The Communicating Hazard Information in the Modern Environment (CHIME) agent-based model (ABM) was designed to investigate the dynamics of hazardous weather communication and decision making in the context of evolving hazard forecasts and the complex modern information environment. It is implemented in Netlogo, version 6. https://ccl.northwestern.edu/netlogo/

The model can be run by opening the Chime.nlogo file with the Netlogo program. Geographic and forecast information used by the model are included in the Region and Storms folders, respectively.

Detailed information about the model code can be found in the CHIME ABM ODD document which follows the Object, Design Concepts and Details format as described by Grimm et. al (2006). 

Detailed information about how to use this model and test if it is working correctly can be found in the document entitled HowToUse.md

Work using this model can be found in the following publications:

Morss R. E., Demuth J. L., Lazrus H., Palen L., Barton C. M., Davis C. A., Snyder C., Wilhelmi O. V., Anderson K. M., Ahijevych D. A., Anderson J., Bica M., Fossell K. R., Henderson J., Kogan M., Stowe K., Watts J., 2017: Hazardous Weather Prediction and Communication in the Modern Information Environment. Bulletin of the American Meteorological Society, 98, 26532674, https://doi.org/10.1175/BAMS-D-16-0058.1.

Watts J., Morss R. E., Barton C. M., Demuth J. L., 2019: Conceptualizing and implementing an agent-based model of information flow and decision making during hurricane threats. Environmental Modelling & Software, 122, 104524, https://doi.org/10.1016/j.envsoft.2019.104524.

Additional reference:

Grimm V., Berger U., Bastiansen F., Eliassen S., Ginot V., Giske J., Goss-Custard J., Grand T., Heinz S. K., Huse G., Huth A., Jepsen J. U., Jrgensen C., Mooij W. M., Mller B., Pe'er G., Piou C., Railsback S. F., Robbins A. M., Robbins M. M., Rossmanith E., Rger N., Strand E., Souissi S., Stillman R. A., Vab R., Visser U. and DeAngelis D. L., 2006: A standard protocol for describing individual-based and agent-based models. Ecological Modelling, 198,(1-2), 115-126.


Owner

  • Name: CoMSES Net: Education
  • Login: comses-education
  • Kind: organization
  • Email: education@comses.net

CoMSES Net Educational Initiatives

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