Calibrated coefficients for high-resolution downscaling: A 1-km gridded daily dataset of temperature and precipitation across the Contiguous United States from NMME Seasonal forecasts

The coarse resolution of the North American Multi-Model Ensemble (NMME) often introduces biases and uncertainties when applied to regional and local scales, limiting its applications in crop modeling and irrigation management. To address these limitations, we employed a statistical downscaling method with bias correction for both mean and variability. This approach was applied to the Canadian Coupled Climate Model version 4 (CanCM4), a representative model within the NMME, to generate 1-km gridded daily weather projections for maximum and minimum air temperatures and precipitation across the contiguous United States (CONUS). The downscaled hindcast projections were calibrated using the Daily Surface Weather and Climatological Summaries (DAYMET) dataset. This dataset provides the calibrated coefficients necessary to produce 1-km gridded daily weather projections, offering a valuable resource for applications such as regional crop modeling and irrigation management. Details can be found in our paper: Su, Q., Ale, S., Himanshu, S., Singh, J., and Singh, V.P. (2025). Calibration and bias correction of seasonal weather forecasts from the North American Multi-Model Ensemble: Potential applications for regional crop modeling and irrigation management. Journal of Agricultural Science 1-14. https://doi.org/10.1017/S0021859625000139北美多模式集合（North American Multi-Model Ensemble, NMME）的粗分辨率在应用于区域与局地尺度时常引入偏差与不确定性，限制了其在作物建模与灌溉管理中的应用。为解决上述局限，我们采用了一种同时针对均值与变异性进行偏差校正的统计降尺度方法。该方法被应用于NMME中的代表性模型——加拿大耦合气候模型第4版（Canadian Coupled Climate Model version 4, CanCM4），以生成美国本土（contiguous United States, CONUS）范围内1公里分辨率的逐日网格化预报数据，涵盖最高气温、最低气温与降水量。降尺度后的后报预报结果使用每日地表天气与气候摘要（Daily Surface Weather and Climatological Summaries, DAYMET）数据集进行校准。该数据集提供了生成1公里分辨率逐日网格化气象预报所需的校正系数，可为区域作物建模、灌溉管理等应用提供宝贵的研究资源。详细信息可参阅我们的论文：Su, Q., Ale, S., Himanshu, S., Singh, J., 及 Singh, V.P. (2025). 《北美多模式集合季节天气预报的校正与偏差修正：在区域作物建模与灌溉管理中的潜在应用》. 《农业科学期刊》, 1-14. https://doi.org/10.1017/S0021859625000139