edu.ucar.opensky::articles:27197 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T18:50:19.230779 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7j38xsn https://doi.org/10.5281/zenodo.4601616 https Related Dataset #1 GraphEM-infilled HadCRUT4.6.0.0 January 1850 - December 2017 https://doi.org/10.5281/zenodo.8173256 https Related Dataset #2 The pseudoPAGES2k Dataset v1.4 https://doi.org/10.5281/zenodo.8367746 https Related Dataset #3 cfr-data v1.0 https://doi.org/10.5281/zenodo.10575537 https Related Software #1 cfr: a Python package for Climate Field Reconstruction https://doi.org/10.5281/zenodo.7967103 https Related Software #2 PyVSL v0.4.0 cfr (v2024.1.26): A Python package for climate field reconstruction 2024-04-30T00:00:00Z publication https://n2t.org/ark:/85065/d7j38xsn https://doi.org/10.5194/gmd-17-3409-2024 Zhu, Feng author Emile-Geay, J. author Hakim, G. J. author Guillot, D. author Khider, D. author Tardif, R. author Perkins, W. A. author UCAR/NCAR - Library publisher Climate field reconstruction (CFR) refers to the estimation of spatiotemporal climate fields (such as surface temperature) from a collection of pointwise paleoclimate proxy datasets. Such reconstructions can provide rich information on climate dynamics and provide an out-of-sample validation of climate models. However, most CFR workflows are complex and time-consuming, as they involve (i) preprocessing of the proxy records, climate model simulations, and instrumental observations; (ii) application of one or more statistical methods; and (iii) analysis and visualization of the reconstruction results. Historically, this process has lacked transparency and accessibility, limiting reproducibility and experimentation by non-specialists. This article presents an open-source and object-oriented Python package called cfr that aims to make CFR workflows easy to understand and conduct, saving climatologists from technical details and facilitating efficient and reproducible research. cfr provides user-friendly utilities for common CFR tasks such as proxy and climate data analysis and visualization, proxy system modeling, and modularized workflows for multiple reconstruction methods, enabling methodological intercomparisons within the same framework. The package is supported with extensive documentation of the application programming interface (API) and a growing number of tutorial notebooks illustrating its usage. As an example, we present two cfr-driven reconstruction experiments using the PAGES 2k temperature database applying the last millennium reanalysis (LMR) paleoclimate data assimilation (PDA) framework and the graphical expectation-maximization (GraphEM) algorithm, respectively. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. None eng geoscientificInformation