Bhavya Duvvuri

Northeastern University

Subject Areas: Hydrology, Remote sensing

 Recent Activity

Bhavya Duvvuri shared Evaluation of river discharges derived from remote sensing and land surface models
Type: Resource
Date: July 11, 2024, 3:03 p.m.

ABSTRACT:

This study assesses river discharges derived using remote sensing and hydrologic modeling approaches throughout the CONUS. The remote sensing methods rely on total water storage anomalies (TWSA) from the GRACE and GRACE-FO satellites and water surface elevations from altimetry satellites (i.e., JASON-2/3 and Sentinel-3) to estimate discharge. Surface and subsurface runoff from two Land Surface Models (LSM), NOAH and CLSM, are routed using the Hillslope River Routing model to determine discharge. The LSMs are part of NASA’s Global Land Data Assimilation System (GLDAS).

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Bhavya Duvvuri shared Deriving River discharges from GRACE/GRACE-FO total water storage anomalies
Type: Resource
Date: Jan. 13, 2023, 6:12 p.m.

ABSTRACT:

This repository contains the data used in the paper "Deriving River discharges from GRACE/GRACE-FO total water storage anomalies".

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Bhavya Duvvuri shared SWOT Data Visualization tool for developing synthetic SWOT discharges based on spatial-temporal sampling and estimated discharge uncertainty
Type: Resource
Date: Feb. 16, 2021, 5 p.m.

ABSTRACT:

Interactive map to view SWOT river reaches, USGS gauges, SWOT orbit, and generate, analyze synthetic SWOT data

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Bhavya Duvvuri shared A tool for developing synthetic SWOT discharges based on spatial-temporal sampling and estimated discharge uncertainty
Type: Resource
Date: Aug. 26, 2020, 6:56 p.m.

ABSTRACT:

Interactive map to view SWOT river reaches, USGS gauges, SWOT orbit, and generate, analyze synthetic SWOT data using the jupyter notebooks and data (compressed folder) in this resource.

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A tool for developing synthetic SWOT discharges based on spatial-temporal sampling and estimated discharge uncertainty
Created: Aug. 26, 2020, 6:56 p.m.
Authors: Duvvuri, Bhavya

ABSTRACT:

Interactive map to view SWOT river reaches, USGS gauges, SWOT orbit, and generate, analyze synthetic SWOT data using the jupyter notebooks and data (compressed folder) in this resource.

Show More
Resource Resource
SWOT Data Visualization tool for developing synthetic SWOT discharges based on spatial-temporal sampling and estimated discharge uncertainty
Created: Feb. 16, 2021, 5 p.m.
Authors: Duvvuri, Bhavya

ABSTRACT:

Interactive map to view SWOT river reaches, USGS gauges, SWOT orbit, and generate, analyze synthetic SWOT data

Show More
Resource Resource
Deriving River discharges from GRACE/GRACE-FO total water storage anomalies
Created: Jan. 13, 2023, 6:12 p.m.
Authors: Duvvuri, Bhavya · Beighley, Edward

ABSTRACT:

This repository contains the data used in the paper "Deriving River discharges from GRACE/GRACE-FO total water storage anomalies".

Show More
Resource Resource
Evaluation of river discharges derived from remote sensing and land surface models
Created: July 11, 2024, 3:03 p.m.
Authors: Duvvuri, Bhavya · Beighley, Edward

ABSTRACT:

This study assesses river discharges derived using remote sensing and hydrologic modeling approaches throughout the CONUS. The remote sensing methods rely on total water storage anomalies (TWSA) from the GRACE and GRACE-FO satellites and water surface elevations from altimetry satellites (i.e., JASON-2/3 and Sentinel-3) to estimate discharge. Surface and subsurface runoff from two Land Surface Models (LSM), NOAH and CLSM, are routed using the Hillslope River Routing model to determine discharge. The LSMs are part of NASA’s Global Land Data Assimilation System (GLDAS).

Show More