Fig 1.
Screenshot of the IPCC AR6 Interactive Atlas web application (regional information components).
The Interactive Atlas is a novel tool for flexible spatial and temporal analyses of observed and projected climate change information underpinning the Working Group I contribution to the Sixth Assessment Report. The products provided by the Interactive Atlas include maps of past trends and future changes across scenarios including uncertainty information and time-series, stripes and seasonal plots, and other products for regionally aggregated information, for the subcontinental IPCC AR6 regions (screenshot from http://interactive-atlas.ipcc.ch, accessed 21 May 2025).
Table 1.
Table of variables/indices available in the Interactive Atlas Dataset, grouped by type. Air temperatures refer to near-surface measurements (usually at 2 meters). See Table 2 for the availability of the variables across different dataset sources.
Table 2.
Summary of data availability for the IPCC-WGI AR6 Interactive Atlas Dataset. Asterisks denote dataset source availability, with variables and indices grouped as in Table 1. The columns correspond to CMIP5, CMIP6, and the various CORDEX domains—AFR: Africa, ANT: Antarctica, ARC: Arctic, AUS: Australasia, CAM: Central America, EAS: East Asia, EUR: Europe, NAM: North America, SAM: South America, SEA: Southeast Asia, and WAS: South Asia—as well as the temporal frequency. CMIP5 and CMIP6 data are available at 2 and 1
resolution, respectively, and CORDEX data is provided at 0.5
resolution, except for CORDEX-EUR, which is available at a finer 0.25
resolution.
Fig 2.
Diagram illustrating the architecture of the Atlas DataLab, emphasizing its three usage modes: (1) local computing with remote data access (blue), (2) BinderHub with remote data access (red), and (3) CSIC Hub with local data access (black).
Remote data access is enabled via a THREDDS Data Server hosted at the CSIC Hub.
Fig 3.
Experimental results of data retrieval from two Atlas DataLab setups: next-to-data deployment in the CSIC-DDC Hub (bottom) and remote data access from a user’s workstation (top).
The bars represent the mean retrieval time across ten experiment replicates for each worker configuration, with error bars indicating variability (minimum and maximum times). Inset numbers denote the volume of network data transferred. The first two columns illustrate THREDDS data access via OPeNDAP, while the last column shows results for in-situ access via file system.
Fig 4.
Illustrative case studies of relevant products from the Interactive Atlas directly reproducible from the notebooks included in the Atlas DataLab GitHub repository [32].
The first example (A) replicates the time series of global surface air temperature changes from Fig 4.2 (first panel) in WGI AR6 Chapter 4 [36]. The second example (B) recreates an Interactive Atlas result for Europe, depicting projected precipitation changes at +3C warming. Locations with low model agreement are displayed using diagonal lines [2]. The base layer of the map can be obtained from the GSHHG database [37] and can be obtained from https://www.ngdc.noaa.gov/mgg/shorelines/data/gshhg/latest/gshhg-shp-2.3.7.zip.
Fig 5.
Two-column representation of the R code generating Fig 4B.
The base layer of the map is provided by the visualizeR R package [38].
Fig 6.
Auxiliary information of (twenty year) periods when the different models forming the ensemble (in rows) reach the +3C global warming levels under the SSP5-8.5 future scenario.
The figure shows the variability of the timing to reach the GWL across the ensemble and allows to compute relevant context information for the case study Maps of changes and robustness for different GWLs (Sect 4.2).