Published August 3, 2022 | Version v3.0

Data set used in glacier algae and filamentous cyanobacteria models

  • 1. Institute of Industrial Science, The University of Tokyo
  • 2. Graduate School of Science, Chiba University
  • 3. Field Science Center for Northern Biosphere, Hokkaido University
  • 4. Meteorological Research Institute, Japan Meteorological Agency
  • 5. National Institute of Polar Research

Contributors

Contact person:

  • 1. Institute of Industrial Science, The University of Tokyo

Description

This is a data set for using the glacier algae and filamentous cyanobacteria models (Onuma et al., 2022). The content is as below.

- data: observed data (bio-volume, cell count, mineral weight, EC, pH and meteorological conditions) on the bare ice surface in Qaanaaq Ice Cap (CSV files). And, model input and output data (CSV files). About the detailed information on each file, please see the readme files.

- python: programs for the visualization (python scripts)

- figure: png files created by the python scripts

The codes of the glacier algae model can be downloaded below.
https://github.com/YukihikoOnuma/SnowAlgaeModel

The article regarding the models is as below.
https://doi.org/10.1017/jog.2022.76

Notes

V3: Data and python codes were updated.

Files

v3.zip

Files (6.5 MB)

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Additional details

References

  • Onuma Y, Takeuchi N, Uetake J, Niwano M, Tanaka S, Nagatsuka N, Aoki T (2022). Modeling seasonal growth of phototrophs on bare ice on the Qaanaaq Ice Cap, northwestern Greenland. Journal of Glaciology 1–13. https://doi.org/10.1017/jog.2022.76
  • Onuma, Y., Yoshimura, K. and Takeuchi, N. (2022), Global simulation of snow algal blooming by coupling a land surface and newly developed snow algae models, J. Geophys. Res. Biogeosciences, 127, e2021JG006339, doi: 10.1029/2021JG006339.
  • Onuma, Y. (2022). Snow Algae Model v1.0 (v1.0). Zenodo. https://doi.org/10.5281/zenodo.6258671