Yubin Baaniya

Brigham Young University

 Recent Activity

ABSTRACT:

This resource contains the CSV file of all stations in France and a Python code to extract the mean historical and real time discharge data from the available station.

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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.

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This allows user to see the map of any resources.

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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.

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Resource Resource
A Look at GEOGloWS Performance Metrics Across the Globe (V1 & V2) [EDITED]
Created: March 5, 2024, 4:13 p.m.
Authors: Baaniya, Yubin · Ames, Dan · Sanchez-Lozano, Jorge Luis

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]

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Resource Resource
Hydrological webservice information
Created: March 6, 2024, 2:09 a.m.
Authors: Baaniya, Yubin · Sanchez-Lozano, Jorge Luis

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.

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Resource Resource
In class activities web mapping
Created: March 12, 2024, 7:25 p.m.
Authors: Baaniya, Yubin

ABSTRACT:

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App Connector App Connector
Resource Viewer
Created: March 26, 2024, 4:23 p.m.
Authors: Baaniya, Yubin

ABSTRACT:

This allows user to see the map of any resources.

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Resource Resource
Is NWM as good as they say compared to GEOGLOWS?
Created: April 22, 2024, 9:09 p.m.
Authors: Baaniya, Yubin

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.

Show More
Resource Resource

ABSTRACT:

This resource contains the CSV file of all stations in France and a Python code to extract the mean historical and real time discharge data from the available station.

Show More