The code, datasets, and auxillary files needed to reproduce the analysis described in Fu2022 and which generated figure 5.22 of the AR6 WG1 report (shown below) is now a supported configuration in the ILAMB codebase. You will need to update to at least v2.7 and then use the following resources.

The Environmental System Science (ESS) Cyberinfrastructure Model-Data Integration Working Group organized a 2-part virtual hackathon which featured ILAMB during the 2nd session. These sessions were organized by Xingyuan Chen (PNNL) and Forrest Hoffman (ORNL) and supported by the RUBISCO SFA, InteRFACE SFA, COMPASS-GLM SFA, PNNL Watershed SFA, NGEE Arctic SFA, ORNL TES SFA, and E3SM SFA. Our portion of the virtual hackathon focus on adapting ILAMB for watershed analysis.

We are pleased to announce that the reference datasets that we have reprocessed and can be mass downloaded via ilamb-fetch are now also available as an intake catalog. Intake is a lightweight set of python tools for loading and sharing data in data science projects. It allows you to write python code referencing the ILAMB datasets by name, and then intake manages the download, using cached versions if available on your system.