SnowClim: Future Snow Data

This resource contains snow metrics for a future climate scenario and represents a subset of the SnowClim Dataset (https://www.hydroshare.org/resource/acc4f39ad6924a78811750043d59e5d0/). The SnowClim Dataset was developed following the methods presented in Lute et al., (in prep). The future snow data was created by first downscaling 4 km climate forcings from the Weather Research and Forecasting (WRF) model (Rasmussen and Liu, 2017) over a thirteen year period representing conditions under RCP 8.5 during 2071-2100 and then using this climate data to force the SnowClim snow model. Snow model outputs were summarized into snow metrics at ~210 m spatial resolution for the western US. Additional details about forcing data preparation, model physics, model calibration, and application to the western US domain can be found in: Lute, A. C., Abatzoglou, J., and Link, T.: SnowClim v1.0: high-resolution snow model and data for the western United States, Geosci. Model Dev., 15, 5045–5071, https://doi.org/10.5194/gmd-15-5045-2022, 2022.本数据集包含未来气候情景下的积雪指标，为SnowClim数据集（SnowClim Dataset，https://www.hydroshare.org/resource/acc4f39ad6924a78811750043d59e5d0/）的子集。SnowClim数据集的开发遵循了Lute等人（待发表）提出的研究方法。未来积雪数据的生成流程如下：首先对天气研究与预报模型（Weather Research and Forecasting，WRF，Rasmussen和Liu，2017）输出的4公里分辨率气候强迫数据进行降尺度处理，处理时段为代表RCP 8.5情景下2071-2100年的13年时段；随后利用该气候数据驱动SnowClim积雪模型（SnowClim snow model）。积雪模型的输出结果被汇总为美国西部区域、空间分辨率约210米的积雪指标。 有关气候强迫数据预处理、模型物理过程、模型校准以及在美国西部区域应用的更多细节，可参阅以下文献： Lute, A. C.，Abatzoglou, J.与Link, T.：《SnowClim v1.0：美国西部高分辨率积雪模型与数据集》，《Geosci. Model Dev.》，15卷，5045–5071页，https://doi.org/10.5194/gmd-15-5045-2022，2022年。