ABSTRACT:

This project aims to evaluate the effectiveness of the GEOGLOWS in comparison to the National Water Model (NWM) by extracting and analyzing historical simulation data. Utilizing the VPU unit 702 as a focal point, we will extract historical simulations from both GEOGLOWS and NWM and apply a suite of performance metrics, including Mean Error (ME), Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Nash-Sutcliffe Efficiency (NSE), Kling-Gupta Efficiency (KGE), Pearson's r, and R-squared.

The objective is to assess the goodness of fit for both the global and local models to determine whether the global model (GEOGLOWS) performs comparably to the local model (NWM) in terms of accuracy and reliability in hydrological predictions.

ABSTRACT:

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ABSTRACT:

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ABSTRACT:

This resources contains the streams available in a GEOGLOWS version along with its TDXHydroLi, stream order, length, geospatial location, VPUCode, and Country. Along with this it contains necessary information about the observed gauge station and a SWOT station around the world along with the additional metadata required to populate it in Hydroserver.

ABSTRACT:

This study evaluates the performance metrics of observed gauges worldwide on the GEOGloWS versions 1 and 2. The primary objective is to assess the accuracy of the basin identification (comid) assignment on version 2 for bias correction using SABER method. By calculating and comparing performance metrics with the findings from Jorges dissertation on version 1, the analysis aims to validate the comid assignments in GEOGloWS V2, which were determined through an automated process. The goal is to determine whether manual inspection of the approximately 18,000 global gauge stations is necessary to ensure accurate comid assignments, critical for effective bias correction.[EDITED]