https://github.com/arve-research/lpj2char

lpj2char is a helper program to convert LPJ-LMfire burned area fraction and fire carbon into Z-scores to compare with paleo-charcoal data

https://github.com/arve-research/lpj2char

Science Score: 13.0%

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Repository

lpj2char is a helper program to convert LPJ-LMfire burned area fraction and fire carbon into Z-scores to compare with paleo-charcoal data

Basic Info
  • Host: GitHub
  • Owner: ARVE-Research
  • Language: Fortran
  • Default Branch: main
  • Homepage:
  • Size: 17.6 KB
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Created about 4 years ago · Last pushed about 4 years ago

https://github.com/ARVE-Research/lpj2char/blob/main/

# lpj2char

This repository contains a helper program to convert burned area fraction and carbon emissions from wildfire simulated with the [LPJ-LMfire](https://github.com/ARVE-Research/LPJ-LMfire) dynamic global vegetation model into Z-scores to compare with paleo-charcoal data. Transformation of model output into z-scores follows the procedure outlined in Brcher et al (2014); see also Marlon et al (2016) and further references at https://pjbartlein.github.io/GCDv3Analysis/. The Fortran code for calculating the z-score lambda was adapted from code developed by P.J. Bartlein and the R MASS library.

References

Marlon, J. R., Kelly, R., Daniau, A.-L., Vannire, B., Power, M. J., Bartlein, P., Higuera, P., Blarquez, O., Brewer, S., Brcher, T., Feurdean, A., Romera, G. G., Iglesias, V., Maezumi, S. Y., Magi, B., Courtney Mustaphi, C. J., & Zhihai, T. (2016). Reconstructions of biomass burning from sediment-charcoal records to improve datamodel comparisons. Biogeosciences, 13(11), 3225-3244. [doi:10.5194/bg-13-3225-2016](https://10.5194/bg-13-3225-2016)

Brcher, T., Brovkin, V., Kloster, S., Marlon, J. R., & Power, M. J. (2014). Comparing modelled fire dynamics with charcoal records for the Holocene. Climate of The Past, 10(2), 811-824. [doi:10.5194/cp-10-811-2014](https://doi.org/10.5194/cp-10-811-2014)

Owner

  • Name: ARVE Research
  • Login: ARVE-Research
  • Kind: organization
  • Email: info@arve-research.com
  • Location: Hong Kong

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