oovanger/aorc-texas-downscaling-sample

AORC Texas Climate Downscaling Benchmark是一个用于统计气候降尺度（超分辨率）的基准数据集，基于NOAA AORC 1 km再分析数据覆盖德克萨斯州（2021-2024年）。该数据集支持训练和评估模型，这些模型从五个缩放因子（2×、4×、8×、16×、32×）的粗化低分辨率输入中重建高分辨率（1 km）气象场。数据来源为NOAA Analysis of Record for Calibration (AORC) v1.1，空间域包括德克萨斯州的两个子区域（西南和东北），网格分辨率为1 km，时间范围为2021年至2024年，每小时一次。数据块大小为512×512像素，变量包括2米气温、近地面比湿度和降水率，格式为Zarr v2，数据类型为float32，分块大小为(32, 512, 512)，总大小约为43 GB。AORC Texas Climate Downscaling Benchmark is a benchmark dataset for statistical climate downscaling (super-resolution) based on NOAA AORC 1 km reanalysis data over Texas (2021–2024). The dataset supports training and evaluating models that reconstruct high-resolution (1 km) meteorological fields from coarsened low-resolution inputs at five scaling factors (2×, 4×, 8×, 16×, 32×). Source: NOAA Analysis of Record for Calibration (AORC) v1.1. Spatial domain: Texas (two sub-regions: SW and NE), 1 km grid. Temporal range: 2021–2024, hourly. Patch size: 512 × 512 pixels at 1 km resolution. Variables: 2 m air temperature, near-surface specific humidity, precipitation rate. Format: Zarr v2, float32, chunks (32, 512, 512). Total size: ~43 GB.