Dataset for 'Existing hydropower can firm large low-carbon capacity for datacenters'
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================================================================================Full reproduction-data archive"Existing hydropower can firm large low-carbon capacity for datacenters"================================================================================ This is the LARGE data tier of the study. It is the companion to the public coderepository, which holds all analysis/model code plus a small (~135 MB) bundle thatalready reproduces every figure on its own: Code + figure-reproduction bundle: https://github.com/VictorCFeng/Hydropower This archive holds the heavy and one-of-a-kind data that does not fit in the coderepository. Reference climate combination throughout: GFDL-ESM4 / SSP3-7.0,existing hydropower only ("nofuture"), with the full 15-member GCM x SSP ensemblewhere a result is inherently multi-model. --------------------------------------------------------------------------------CONTENTS-------------------------------------------------------------------------------- swat_global/ [~630 GB; NOT on GitHub] The complete per-region modeling tree for all 81 grid regions, comprising: * the built SWAT+ models (QSWAT+ project, sqlite database, HRU / channel / routing definitions, watershed shapefiles and DEM rasters) -- everything needed to re-run SWAT+ for a region; * the trained machine-learning streamflow models: 4,023 per-channel LSTM-Transformer probabilistic models (LSTM_Transformer_prob/); * the machine-learning-corrected hourly streamflow that drives the dispatch, for all 15 GCM x SSP combinations (Scenarios/isimip3b/<GCM>/<SSP>/ and inference_output/.../corrected_all.parquet); * the per-region datasets, vectors, rasters and figures used to build them. WEATHER FORCING IS EXCLUDED on purpose (.pcp/.tmp/.hmd/.slr/.wnd, ~16 GB per region). It is fully regenerable with the ISIMIP3b / ERA5-Land download scripts in stages 01-02 of the code repository. station_screening/ [~51 MB; NOT on GitHub] 90 per-region "rivers and plants" screening maps -- the visual record of how each hydropower station was matched onto the modeled river network during the station-screening step. hydropower_station_database.csv [~0.75 MB; NOT on GitHub] The 4,193 dispatched hydropower units inside the modeled grid regions: unified identity, capacity, location, river, dam height, the net head used for dispatch (final_head_m) with its confidence and source, the head-storage-area rating coefficients, and the GRFR routing reach each unit is matched to. figures/ [~13 MB] The full set of 64 rendered figure panels. (The code repository ships the 25 paper panels; this is the complete set, including supplementary and alternate-metric variants.) --------------------------------------------------------------------------------NOT INCLUDED (used upstream; obtain from the original providers)-------------------------------------------------------------------------------- * Weather forcing (ISIMIP3b / ERA5-Land) -- regenerable via the stage-01/02 download scripts in the code repository. * S&P Global "451 Research Datacenter KnowledgeBase" -- commercial, licensed; only aggregated results derived from it appear in the study. * IUCN Red List of Threatened Species -- licensed; the conservation overlay (paper Fig. 4e/4f) is regenerable from an IUCN download with the included fig5_*.py scripts. --------------------------------------------------------------------------------CONTACT / LICENCE-------------------------------------------------------------------------------- Licence: data CC BY 4.0 (code is MIT, in the repository above) Contact: chengfeng@cornell.edu (PEESE Group, Cornell University)
