PyBAYWATCH: BAYWATCH in Python
Project description
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 includes two modes: (i) Python wrappers for the original Matlab codebases, 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 | ✅ | ✅ |
Installation
pip install pybaywatch
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pybaywatch-2026.6.25.tar.gz.
File metadata
- Download URL: pybaywatch-2026.6.25.tar.gz
- Upload date:
- Size: 30.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0846e9ef81ffdb4d365d6c8dc4efc8f94fb7142613dc5f5ff1340be516463f49
|
|
| MD5 |
218757b87d34234793f039b298bd2f37
|
|
| BLAKE2b-256 |
55ebb269211c38b3a72c16845c6607374357130e33fe5433ebec7b380a971e92
|
File details
Details for the file pybaywatch-2026.6.25-py3-none-any.whl.
File metadata
- Download URL: pybaywatch-2026.6.25-py3-none-any.whl
- Upload date:
- Size: 34.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f7b678499504ed00aa0208ff178c82d73284a130ed73aef2b6455b346ed30979
|
|
| MD5 |
b3fd39420c77f7bfe3401f5e70876ee8
|
|
| BLAKE2b-256 |
c103e23477f55085d81eb02a3bf97e534dc92232c32743e45780be30d1d46a7a
|