Skip to main content

PyBAYWATCH: BAYWATCH in Python

Project description

PyPI

PyBAYWATCH

This package incorporates a set of Bayesian hierarchical Proxy System Models (PSMs, i.e., forward data models) for sedimentary paleoclimate records in Python, including:

  • BAYSPAR: for TEX$_{86}$ in paleotemperature proxy (Tierney and Tingley, 2014, 2015).
  • BAYSPLINE: for U$^{K'}_{37}$ in alkenone paleothermometer (Tierney and Tingley, 2018).
  • BAYMAG: for Mg/Ca in planktic foraminifera (Tierney et al., 2019).
  • BAYFOX: for global plankit foraminifera $\delta^{18}$O(Malevich et al., 2019).
  • BAYMBT: for the branched GDGT MBT5Me proxy in soils, peats, and lakes (Dearing Crampton-Flood et al., 2020; Martínez-Sosa et al., 2021).

It include two modes: (i) Python wrappers for the original Matlab codebase, and (ii) pure Python versions. The detailed supporting information is provided below:

Model Python wrapper Pure Python
BAYSPAR
BAYSPINE ❌ (due to a non-open Matlab toolbox)
BAYMAG
BAYFOX
BAYMBT

References

  • Tierney, J. E. & Tingley, M. P. A Bayesian, spatially-varying calibration model for the TEX86 proxy. Geochimica et Cosmochimica Acta 127, 83–106 (2014).
  • Tierney, J. E. & Tingley, M. P. A TEX86 surface sediment database and extended Bayesian calibration. Sci Data 2, 150029 (2015).
  • Tierney, J. E. & Tingley, M. P. BAYSPLINE: A New Calibration for the Alkenone Paleothermometer. Paleoceanography and Paleoclimatology 33, 281–301 (2018).
  • Tierney, J. E., Malevich, S. B., Gray, W., Vetter, L. & Thirumalai, K. Bayesian Calibration of the Mg/Ca Paleothermometer in Planktic Foraminifera. Paleoceanography and Paleoclimatology 34, 2005–2030 (2019).
  • Malevich, S. B., Vetter, L. & Tierney, J. E. Global Core Top Calibration of δ18O in Planktic Foraminifera to Sea Surface Temperature. Paleoceanography and Paleoclimatology 34, 1292–1315 (2019).
  • Dearing Crampton-Flood, E., Tierney, J. E., Peterse, F., Kirkels, F. M. S. A. & Sinninghe Damsté, J. S. BayMBT: A Bayesian calibration model for branched glycerol dialkyl glycerol tetraethers in soils and peats. Geochimica et Cosmochimica Acta 268, 142–159 (2020).
  • Martínez-Sosa, P. et al. A global Bayesian temperature calibration for lacustrine brGDGTs. Geochimica et Cosmochimica Acta 305, 87–105 (2021).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pybaywatch-2024.4.8.tar.gz (18.5 kB view details)

Uploaded Source

File details

Details for the file pybaywatch-2024.4.8.tar.gz.

File metadata

  • Download URL: pybaywatch-2024.4.8.tar.gz
  • Upload date:
  • Size: 18.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for pybaywatch-2024.4.8.tar.gz
Algorithm Hash digest
SHA256 0661202413cc40f96990806ea4d240ec1a0aff33ff65f2426db3ab098396df0d
MD5 b0134efb193a56a678512e59357bc9ae
BLAKE2b-256 f76fa7925ae694a915b44c0bee311397c42b760704b3d4eada83446ce067359a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page