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Summary DGGS H3 Zarr-encoded data subset from 2020-2030 monthly for Social Economic Pathways SSP3-7.0 with 10th, 50th and 90th percentiles for each climate variable. The DGGS contains L=0 to L=6 subzones spanning across Canada. Monthly data is averaged over 30 years. Original NetCDF data is obtained from ClimateData.ca Variables. Reference Code GitHub crim-ca/ogc-dggs: Example - Canada Climate Variables as DGGS H3 Zarr from NetCDF Lat/Lon/Time This repository contains multiple examples. The provided Zarr+ZIP data is generated from notebooks contained under the canada-climate subdirectory. Provide images showcase examples of the DGGS visualization, which can be achieved using notebooks found within the repository. Dimensions h3_id time Climate Variables ssp370_prcptot_p10 ssp370_prcptot_p50 ssp370_prcptot_p90 ssp370_tx_max_p10 ssp370_tx_max_p50 ssp370_tx_max_p90 Chunking and Groups Data chunks are precomputed for monthly aggregations. Zarr structure is provided with subgroups corresponding to each DGGS resolution level. Zarr groups have fixed temporal size (132 = 12 months x 11 years inclusive) and fixed DGGS H3 spatial zones per resolution level across variables DGGS H3 zones have 9, 35, 189, 1123, 7001, 45661 and 207466 zones respectively for L=0 to L=6 Preview See attached images: dggs-climate-data-sample_ssp370-txmax-p50-res4.png dggs-climate-data-sample_ssp370-txmax-p50-res4_3dglobe.png