Computational Model Library

LogoClim: WorldClim in NetLogo (2.0.0)

LogoClim is a NetLogo model for simulating and visualizing global climate conditions. It allows researchers to integrate high-resolution climate data into agent-based models, supporting reproducible research in ecology, agriculture, environmental sciences, and other fields that rely on climate data.

The model utilizes raster data to represent climate variables such as temperature and precipitation over time. It incorporates historical data (1951-2024) and future climate projections (2021-2100) derived from global climate models under various Shared Socioeconomic Pathways (SSPs, O’Neill et al., 2017). All climate inputs come from WorldClim 2.1, a widely used source of high-resolution, interpolated climate datasets based on weather station observations worldwide (Fick & Hijmans, 2017).

LogoClim follows the FAIR Principles for Research Software (Barker et al., 2022) and is openly available on the CoMSES Network and GitHub. See the Logônia model for an example of its integration into a full NetLogo simulation.

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Release Notes

  • Updated the model for compatibility with NetLogo 7.0.0.
  • Resized interface widgets to match the new NetLogo standard dimensions.
  • Changed the LogoClim license from MIT to GPLv3.
  • Removed the transition-seconds slider, as it is no longer necessary.
  • Removed the adjust-world-size? slider; world size adjustment is now always enabled by default.
  • Introduced the global variable plot-max-y-range to optimize computations.
  • Revised documentation to reflect updates.

Associated Publications

A manuscript describing the model has been submitted to the Journal of Open Source Software (JOSS) and is currently under review.

This release is out-of-date. The latest version is 2.1.0

LogoClim: WorldClim in NetLogo 2.0.0

Submitted by Daniel Vartanian Published Aug 04, 2025 Last modified Sep 29, 2025
Time Series NetLogo LevelSpace Simulations WorldClim Climate Change Agent-Based Modeling Climate Data Visualization Climate Projections Climate Simulations Environmental Sciences Future Climate Scenarios Geospatial Analysis Historical Climate Data Logônia Parallel Execution Raster Data Reproducible Research Shared Socioeconomic Pathways Spatial Analysis

LogoClim is a NetLogo model for simulating and visualizing global climate conditions. It allows researchers to integrate high-resolution climate data into agent-based models, supporting reproducible research in ecology, agriculture, environmental sciences, and other fields that rely on climate data.

The model utilizes raster data to represent climate variables such as temperature and precipitation over time. It incorporates historical data (1951-2024) and future climate projections (2021-2100) derived from global climate models under various Shared Socioeconomic Pathways (SSPs, O’Neill et al., 2017). All climate inputs come from WorldClim 2.1, a widely used source of high-resolution, interpolated climate datasets based on weather station observations worldwide (Fick & Hijmans, 2017).

LogoClim follows the FAIR Principles for Research Software (Barker et al., 2022) and is openly available on the CoMSES Network and GitHub. See the Logônia model for an example of its integration into a full NetLogo simulation.

Release Notes

  • Updated the model for compatibility with NetLogo 7.0.0.
  • Resized interface widgets to match the new NetLogo standard dimensions.
  • Changed the LogoClim license from MIT to GPLv3.
  • Removed the transition-seconds slider, as it is no longer necessary.
  • Removed the adjust-world-size? slider; world size adjustment is now always enabled by default.
  • Introduced the global variable plot-max-y-range to optimize computations.
  • Revised documentation to reflect updates.

Cite this Model

Daniel Vartanian, Leandro Garcia, Aline (2025, August 04). “LogoClim: WorldClim in NetLogo” (Version 2.0.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/bccd451f-76a4-408a-85fd-c5024359ba9a/releases/2.0.0/

Replication of a previously described model

No.

Associated Publication(s)

A manuscript describing the model has been submitted to the Journal of Open Source Software (JOSS) and is currently under review.

References

Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., & Taylor, K. E. (2016). Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geoscientific Model Development, 9(5), 1937-1958. https://doi.org/10.5194/gmd-9-1937-2016

Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: New 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology, 37(12), 4302-4315. https://doi.org/10.1002/joc.5086

Harris, I., Osborn, T. J., Jones, P., & Lister, D. (2020). Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Scientific Data, 7(1), 109. https://doi.org/10.1038/s41597-020-0453-3

O’Neill, B. C., Kriegler, E., Ebi, K. L., Kemp-Benedict, E., Riahi, K., Rothman, D. S., van Ruijven, B. J., van Vuuren, D. P., Birkmann, J., Kok, K., Levy, M., & Solecki, W. (2017). The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st century. Global Environmental Change, 42, 169-180. https://doi.org/10.1016/j.gloenvcha.2015.01.004

Vartanian, D., Garcia, L., & Carvalho, A. M. (2025). {Logônia}: Plant growth response model in NetLogo [Computer software]. https://doi.org/10.17605/OSF.IO/TPY7S

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Contributors
Daniel Vartanian Leandro Garcia Aline Martins de Carvalho Aline
External Repository
github.com/sustentarea/logoclim
DOI
No assigned DOI
Model Version
2.0.0
License
GPL-3.0
Programming Language
NetLogo
Software Framework
NetLogo 7.0.0
Operating System
Operating System Independent
Publish Date
Monday, August 04, 2025
Last Updated
Monday, September 29, 2025
Downloads 27
Peer Review
Unreviewed
Version Submitter First published Last modified Status
2.1.0 Daniel Vartanian Tue Sep 16 05:25:45 2025 Mon Sep 29 20:33:55 2025 Published
2.0.0 Daniel Vartanian Mon Aug 4 22:58:14 2025 Mon Sep 29 20:33:30 2025 Published
1.0.0 Daniel Vartanian Thu Jul 3 10:02:19 2025 Mon Sep 29 20:33:29 2025 Published
0.0.0 Daniel Vartanian Thu Jul 3 02:30:24 2025 Mon Sep 29 20:33:29 2025 Published

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