WDRO-MOR: Altitude-Resolved ERA5/HRES Environment Dataset for Wasserstein Distributionally Robust Multi-Objective UAV Routing (6 zones, 2023–2025)

WDRO-MOR — dataset Dataset for the paper "Wasserstein Distributionally Robust Multi-Objective UAVRouting with Finite-Sample Pareto Coverage Certificates." Altitude-resolved ERA5reanalysis (and the matched HRES/IFS operational forecasts) for six zones - Dhaka,New York, Manaus, In-Salah, La Paz, Tromso - over three years (2023 train / 2024validation / 2025 held-out test) and six altitude levels (10-1000 m). Contents- dataset/derived/ : 18 long-format parquets (24.35M rows; one row per cell x hour x altitude level) - the 8-D environment vector plus per-cell ground-risk / no-fly / geometry layers. This is the input the analysis notebook reads.- dataset/data/ : the raw per-zone parquets and the HRES/IFS forecast parquets the derived layer is built from (the forecast drives the reanalysis->forecast transfer study). ReproduceUnzip so dataset/ sits next to the notebook from the code repository, then run thenotebook. Code, the self-contained notebook, figures and result tables:https://github.com/Ferdous123/wdro-mor License: CC-BY-4.0 for the derived/raw tables. ERA5/HRES are (c) ECMWF / CopernicusClimate Change Service; reanalysis/forecast use is subject to the Copernicuslicence (free, with attribution).