There are 4 repositories under paleoclimate topic.
An R package providing helper functions to interact with timeseries of worldwide climate reconstructions
paleoMAT: Paleotemperature Reconstruction from Pollen using the Modern Analog Technique
Streamflow reconstruction using linear dynamical system
Ensemble Empirical Mode Decomposition Significance Test
Data and code for the paper "Coherent streamflow variability in Monsoon Asia over the past eight centuries---links to oceanic drivers"
extract paleoclimatological data from NOAA/NCDC to csv file
A Matlab function to calculate Palmer Drought Severity Index (PDSI) using monthly temperature and precipitation data. Can determine values for multiple sites simultaneously.
Estimation of global silicate weathering for paleoclimate and exoplanet climate applications
The BAYSPLINE alkenone UK'37 calibration, in Python.
Code supporting "Could the Last Interglacial Constrain Projections of Future Antarctic Ice Mass Loss and Sea-level Rise?" by Gilford et al. (2020, JGR-Earth Surface)
A simple and flexible model for estimating glacier equilibrium line altitudes based on geomorphic measurements.
A Python package to quickly fetch carbon reservoir records at the Marine Reservoir Correction database (http://calib.org/marine/).
Code repository accompanying Stagge et al. (2017). Code reconstructs monthly streamflows from annual tree-ring chronologies.
Tools for Dynamic River Routing for Paleoclimate Simulations
Ice-volume correction to marine-isotope proxy records in Python.
Open-source approach to infer paleoclimatic layers. Folk and Gaynor et al. 2023.
Tools for plotting and analyzing stratigraphic data in R
Time-scale correction for d18O data using Bayesian inference.
Ease the use of the climate4r package to downscale TraCE21ka and CMIP5 climate data in combination with UERRA reanalysis data.
This repository host a simple "finder" python code to calculate the closest distance in latitude/longitude and water depth of hydrological parameters (e.g. Temperature, δ13C-DIC, δ18Osw, nitrate, nitrite data) from sediment samples as a method to estimate bottom water characteristics.