pape-submission-0812/aorc-texas-downscaling

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公里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公里）气象场。源数据为NOAA Analysis of Record for Calibration (AORC) v1.1；空间域为德克萨斯州（两个子区域：西南和东北），1公里网格；时间范围为2021-2024年，每小时；补丁大小为512×512像素（1公里分辨率）；变量包括2米气温、近地面比湿度和降水率；格式为Zarr v2，float32类型，块大小为(32, 512, 512)；总大小约43 GB。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.