Future April 1 Snow Water Equivalent (CONUS) (Image Service)

The April Snow Water Equivalent data were modeled using the spatial analog models of Luce et al. [https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2013WR014844] (see also https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017WR020752). These models are built on precipitation and snow data from Snowpack Telemetry (SNOTEL) stations across the western United States and temperature data from 1975-2005. To simulate historical and future gridded snow, the models ingest gridded winter cumulative precipitation and winter average temperature (from the MACAv2-Metdata dataset). We used the MACAv2-metdata monthly precipitation and minimum and maximum temperature datasets for the period 2071-2090 (RCP8.5). Average temperature was calculated as the arithmetic mean of minimum and maximum temperature datasets. Average temperature was averaged over the winter months (November through March) and precipitation was summed over the winter months. More information on the project associated with this dataset is available from the U.S. Forest Service Rocky Mountain Research Station.本数据集的四月雪水当量（Snow Water Equivalent）数据采用Luce等人[https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2013WR014844]提出的空间类比模型进行建模（另可参阅https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017WR020752）。该类模型的训练数据取自美国西部积雪遥测（Snowpack Telemetry, SNOTEL）站点的降水与积雪观测数据，以及1975年至2005年的气温观测数据。为模拟历史与未来的网格化积雪数据，模型输入源自MACAv2-Metdata数据集的网格化冬季累积降水量与冬季平均气温数据。本研究采用了2071年至2090年时段（典型浓度路径8.5，RCP8.5）下的MACAv2-Metdata逐月降水量、最低与最高气温数据集。平均气温通过最低与最高气温数据集的算术平均值计算得到。研究中对冬季（11月至次年3月）的气温取平均，对降水量进行累加求和。有关本数据集关联项目的更多信息，可从美国林务局落基山研究站（U.S. Forest Service Rocky Mountain Research Station）获取。