Dataset for post-processing daily streamflow simulations across a river network using a Bayesian hierarchical model

This dataset contains the files with time series of potential covariates, daily monsoon period (July-August) streamflow used to post-process daily VIC streamflow simulations across the Narmada River basin network, India. The potential covariates are comprised of daily VIC simulated streamflow from each gauge, 1, 2, 3, and 4-days accumulated spatial average precipitation from the area between the station gauges, and daily VIC simulated streamflow from an upstream (feeder) gauge from the previous day. It also contains a file with basic information (longitude, latitude, and area) for the gauges considered here. The observed streamflow and gridded precipitation raw data were obtained from the India Water Resources Information System (India-WRIS) and the India Meteorology Department (IMD), respectively. Then, data were processed to obtain the dataset presented here.本数据集包含两类文件：一类为潜在协变量时间序列文件，另一类为用于后处理印度纳尔默达河流域水文站网逐日可变下渗能力（Variable Infiltration Capacity, VIC）模型模拟径流的季风期（7-8月）日径流数据。本数据集的潜在协变量包括：各水文测站的VIC模型逐日模拟径流、测站控制区间内1日、2日、3日及4日累积空间平均降水量，以及上游补给测站前一日的VIC模型逐日模拟径流。此外，本数据集还包含本次研究涉及的所有水文测站的基础信息文件，涵盖经度、纬度与集水面积。本数据集所用的实测径流与格点化降水原始数据，分别取自印度水资源信息系统（India-WRIS）与印度气象局（IMD），后续经数据处理后得到本数据集。