LSTM Efficacy in Runoff Prediction: A Study Using Spatial Datasets Across Diverse Meteorological Conditions Including Big Sandy River.

This resource comprises various files pertaining to time series data, particularly focusing on NWM (National Water Model) short-range forecast and USGS observations of streamflow data for three stations, measured in cubic feet per second (cfs). I added some spatial datasets in the form of vector and raster datasets just for one specific research area. The contents of each file serve distinct purposes: - \"USGS Observation and NWM Outputs\" is consisted of merged NWM forecast and USGS observation data; -\"Data types\" highlights some information including coordinates and reach ID and gage ID for specific locations in Arizona, Nevada, and Wisconsin in the USA; - \"Results\" showcases images associated with the statistical metrics for aforementioned locations, offering visual insights into data analysis outcomes; -\"Data Collection and Analysis\" summarizes merged data from the NWM and USGS, accompanied by statistical metrics for analysis; - \"LSTM Paper\" presents an incomplete paper on LSTM models application to the dataset, necessitating revision and completion in the near future; -\"Big Sandy watershed \" includes Vector data (shapefiles) for the delineated watershed shapefiles. -\"Big Sandy streamlines\" is consist of the stream lines for the specific watershed. -\"Big Sandy River \" includes the raster data for the delineated watershed which contains big sandy river.