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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
{"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\u201313. 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"]}
V3: Data and python codes were updated.
numerical modelling, algae, cyanobacteria, Greenland, glacier, numerical modeling, algae, cyanobacteria, Greenland, glacier
numerical modelling, algae, cyanobacteria, Greenland, glacier, numerical modeling, algae, cyanobacteria, Greenland, glacier
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