Published February 23, 2024 | Version v1
Dataset Open

Climate model and proxy input data for PaleoDA South America reconstruction

  • 1. ROR icon University of Liège
  • 2. ROR icon University of Tübingen
  • 3. ROR icon Heidelberg University

Description

This repository contains  input data needed to run the paleoclimate reconstruction code for  "A continental reconstruction of hydroclimatic variability in South America during the past 2000 years", submitted to Climate of the Past in February 2024 [https://egusphere.copernicus.org/preprints/2024/egusphere-2024-545/].  The Github repository is located here: https://github.com/mchoblet/paleoda_sa/tree/main

Structure:

model_data: One File for each Model (GISS, CCSM (isoGSM), CESM, ECHAM5, iHADCM3) and variable (prec,tsurf,d18O, SPEI). Monthly resolution.

proxy_data: One File for each proxy record type (Trees and corals contain a separate file for annual and djf linear regression parameters, the proxy data as such is the same). The data has yearly resolution, and thus also contains NaNs for when a year is not covered by a proxy. Note, that these time series are resampled to a regular resolution in the multi-time scale PaleoDA code.

Climate Model Data:

The original data can be found in https://zenodo.org/records/6610684. The data in this repository here has been slightly modified and regridded for easier processing by the reconstruction algorithm.  When using the data here, please also cite https://zenodo.org/records/6610684 and the publication 

"Investigating stable oxygen and carbon isotopic variability in speleothem records over the last millennium using multiple isotope-enabled climate models", by 

Janica C. Bühler, Josefine Axelsson, Franziska A. Lechleitner, Jens Fohlmeister, Allegra N. LeGrande, Madhavan Midhun, Jesper Sjolte, Martin Werner, Kei Yoshimura, and Kira Rehfeld (https://cp.copernicus.org/articles/18/1625/2022/cp-18-1625-2022.html)

Climate Proxy Data:

A regional proxy record subselection for South America. See References in Appendix D Choblet et al. [LINK]. The DOI of each record is stored as Metadata.

How were these files created?

The steps are documented in the the Github repository https://github.com/mchoblet/paleoda_sa/tree/main (data_preprocessing). The SPEI drought index has ben computed from modeled precipitation and temperature using Thornthwaite's method (using the Climate Indices package, https://github.com/monocongo/climate_indices).

 

 

 

Files

model_data.zip

Files (20.1 GB)

Name Size Download all
md5:cbdb58222031f82dc13f0d76d31319cb
20.1 GB Preview Download
md5:ff28991c34bece445462a2a7d77813a3
2.1 MB Preview Download

Additional details

Related works

Is variant form of
Dataset: https://zenodo.org/records/7516327 (URL)

Dates

Submitted
2024-02-23
Climate of the past

Software

Repository URL
https://github.com/mchoblet/paleoda_sa/
Programming language
Python
Development Status
Active