PRYSM
Climate Proxy System Modeling Tools in Python
Supported achive types
- Coral
- Tree
- Icecore
- Lake sediments
Supported proxy types
- Coral d18O
- TRW
- Icecore d18O
- Lake leaf wax
- Lake carbonate
- Lake GDGT
- Speleothem d18O
Language
Useful links
Publications
- Dee, S., J. Emile-Geay, M. N. Evans, A. Allam, E. J. Steig, and D. m. Thompson, 2015: PRYSM: An open-source framework for PRoxY System Modeling, with applications to oxygen-isotope systems. J. Adv. Model. Earth Syst., 7, 1220–1247, https://doi.org/doi:10.1002/2015MS000447.
- Dee, S. G., N. J. Steiger, J. Emile-Geay, and G. J. Hakim, 2016: On the utility of proxy system models for estimating climate states over the common era. J. Adv. Model. Earth Syst., 8, 1164–1179, https://doi.org/doi:10.1002/2016MS000677.
- Dee, S. G., L. A. Parsons, G. R. Loope, J. T. Overpeck, T. R. Ault, and J. Emile-Geay, 2017: Improved spectral comparisons of paleoclimate models and observations via proxy system modeling: Implications for multi-decadal variability. Earth and Planetary Science Letters, 476, 34–46, https://doi.org/doi:10.1016/j.epsl.2017.07.036.
- Dee, S. G., J. M. Russell, C. Morrill, Z. Chen, and A. Neary, 2018: PRYSM v2.0: A Proxy System Model for Lacustrine Archives. Paleoceanography and Paleoclimatology, 33, 1250–1269, https://doi.org/doi:10.1029/2018PA003413.