diatoms

Data

Paleo Hydrodynamics Data Assimilation product (PHYDA). Reconstructions of hydroclimate along with associated climate dynamical variables over the past two thousand years. See the associated publication for more information: Steiger, N. J., Smerdon, J. E., Cook, E. R., and Cook, B. I., A reconstruction of global hydroclimate and dynamical variables over the Common Era, Scientific Data, 5:180086, doi:10.1038/sdata.2018.86 (2018).

Link to data: DOI

Link to data: PHYDA 100 member ensemble


A global collection of paleoclimate proxy time series over the Common Era. This is the global collection of paleoclimate data used in the creation of PHYDA v1.

Link to data: DOI


Pseudoproxies for the paper: Steiger, N.J. and J.E. Smerdon, A pseudoproxy assessment of data assimilation for reconstructing the atmosphere-ocean dynamics of hydroclimate extremes. Climate of the Past, doi:10.5194/cp-13-1435-2017 (2017).

Link to data: DOI


Historical climate model simulation of the isotope-enabled ECHAM5-wiso model from the years 1871 to 2011 at T106 (1 degree) resolution. The model code was provided by Martin Werner of AWI. The simulations were designed and run by Nathan Steiger on the Yellowstone supercomputer. The boundary conditions were interpolated HadISST fields. The simulations also included updated fractionation factors (an option within the ECHAM5-wiso Fortran code). All variables here are at monthly resolution in netcdf format. Please contact Nathan Steiger if you have any questions about the simulation. In addition to the data citation, please also cite the following reference for where the data were first published: Steiger, N.J., E.J. Steig, S.G. Dee, G.H. Roe, and G.J. Hakim, Climate reconstruction using data assimilation of water-isotope ratios from ice cores. Journal of Geophysical Research: Atmospheres, doi:10.1002/2016JD026011 (2017).

Link to data: DOI


Code

Code used in the creation of the Paleo Hydrodynamics Data Assimilation product (PHYDA).

github iconnjsteiger/PHYDA