Selected inputs for examining the complex relations between climate and streamflow in the Mid-Atlantic region of the United States

Streams provide water for human activities and consumption in much of the world. Streamflow is largely controlled by climate forces, therefore it is likely sensitive to climate changes. We analyzed daily air temperature (AT), precipitation (P), and stream discharge (Q) metrics for 124 watersheds in Maryland, Virginia, and North Carolina, United States, from 1981 through 2020. Spatial-raster datasets of daily P in mm were downloaded from Parameter-elevation Regressions on Independent Slopes Model (PRISM; http://prism.oregonstate.edu) on March 30, 2021, and datasets of daily AT in degrees Celsius (°C) were downloaded June 22, 2021, both at a 4-square kilometer (km2) resolution for the contiguous U.S. The final quarter of approved 2020 data for both datasets was downloaded between January 6 and 8, 2022. Daily mean-Q data were downloaded from the USGS’s National Water Information System on January 5, 2022, checked for completeness, and converted to cubic meters per second. The input data sets used to derive trends and PCA results are presented here in the zip file found below. Due to Excel’s maximum row constraints, the files have been subset by decade. Please refer to the linked manuscript below for more information.

全球多数区域的溪流可作为人类活动与生活用水的水源。河道径流主要受气候因子调控，因此对气候变化具有显著敏感性。本研究针对美国马里兰州、弗吉尼亚州与北卡罗来纳州的124个流域，分析了1981年至2020年的逐日气温（air temperature, AT）、降水量（precipitation, P）与河道径流量（stream discharge, Q）指标。

逐日降水量（单位：毫米）的空间栅格数据集于2021年3月30日从独立斜坡模型参数-高程回归（Parameter-elevation Regressions on Independent Slopes Model, PRISM；http://prism.oregonstate.edu）下载获取；逐日气温（单位：摄氏度，°C）数据集则于2021年6月22日完成下载，两类数据集均为美国本土4平方千米（km²）分辨率的产品。上述两类数据集的2020年经审核最终批次数据，于2022年1月6日至8日完成下载。

逐日平均径流量数据于2022年1月5日从美国地质调查局（United States Geological Survey, USGS）国家水信息系统下载，经完整性校验后转换为立方米每秒（m³/s）单位。用于开展趋势分析与主成分分析（Principal Component Analysis, PCA）并获取相关结果的输入数据集，已打包为压缩文件附于下文。受限于Excel的最大行数限制，所有数据集文件已按十年为单位进行分块存储。详细研究信息请参阅下文链接的相关手稿。