Cassandra Nickles

Jet Propulsion Laboratory

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ABSTRACT:

This resource contains five R-markdown scripts that process and analyze the connections between MERIT Hydro River reaches of the Mississippi River for Surface Water and Ocean Topography (SWOT) satellite observable rivers. The first code calculates the cumulative amount of urban land area for each reach in the basin. The second code relates the reaches, linking them based on drainage area ratios between 0.01 and 100. It filters these relationships based on whether a SWOT measurement could be donated from one location to the other via the drainage area ratio method, dam locations, and the amount of urban area between locations. Then, the potential increase in SWOT observations throughout the basin is calculated. The third code takes 373 gauges in the river basin and calculates Kling-Gupta Efficiency (KGE) values assessing the potential of using the drainage area ratio method among the gauges. The fourth assesses the impact dams, reservoirs, and urban area have on KGE values obtained. Finally, the fifth code expands simulated SWOT time series using the qualified drainage area ratio method and compares the expansion to daily discharges by first transforming each time series into a Log Pearson Type III distribution. KGE values between quantiles of each distribution are calculated and the Kolmogorov-Smirnov and Student t significance tests are performed. These codes and their associated text files serve as the resources for the study, "Leveraging river network topology and regionalization to expand SWOT-derived river discharge time series in the Mississippi River Basin" (doi:10.3390/rs13081590).

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ABSTRACT:

This resource is a modified version of the Hillslope River Routing (HRR) model (Beighley et al., 2009), which now derives surface and subsurface flow using the Variable Infiltration Capacity (VIC) model formulation equations (Liang et al., 1994), termed the HRR-VIC model. HRR is a topography-based routing model that integrates surface and subsurface runoff laterally into river channels and routes discharges throughout the river network based on the Muskingum–Cunge method, resulting in discharge estimates for each river reach. Model results and code for 39 gauges in the Ohio River Basin over a 9 year span is presented, as a reference for the study, "The Applicability of SWOT’s Non-Uniform Space–Time Sampling in Hydrologic Model Calibration," doi:10.3390/rs12193241.

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ABSTRACT:

Code and input/output files for a version of the SWOT discharge algorithm, MetroMan (Durand et al. 2014), used for the study, "Integrating lateral inflows into a SWOT Mission river discharge algorithm." This data is part of a case study incorporating lateral inflows into MetroMan for an 80 km section of the Muskingum River during a July 2013 20-day storm event.

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ABSTRACT:

Includes daily USGS streamflow measurements for 453 gauges throughout the Mississippi River Basin for the period April 1, 2010 to May 1, 2016, a shapefile of the USGS gauges, and assuming a theoretical launch date of the Surface Water and Ocean Topography (SWOT) Mission being April 16, 2010 or April 16, 2013, sampled SWOT-observed discharges with and without preliminary SWOT discharge uncertainties (based on Hagemann et al. 2017; DOI: 10.1002/2017WR021626) .

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ABSTRACT:

Includes daily USGS streamflow measurements for 454 gauges throughout the Mississippi River Basin for the period April 1, 2010 to May 1, 2016, a shapefile of the USGS gauges, and assuming a theoretical launch date of the Surface Water and Ocean Topography (SWOT) Mission being April 16, 2010, sampled SWOT-observed discharges with and without preliminary SWOT discharge uncertainties (based on Hagemann et al. 2017; DOI: 10.1002/2017WR021626) .

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ABSTRACT:

Includes daily USGS streamflow measurements for 454 gauges throughout the Mississippi River Basin for the period April 1, 2010 to May 1, 2016, a shapefile of the USGS gauges, and assuming a theoretical launch date of the Surface Water and Ocean Topography (SWOT) Mission being April 16, 2010, sampled SWOT-observed discharges with and without preliminary SWOT discharge uncertainties (based on Hagemann et al. 2017; DOI: 10.1002/2017WR021626) .

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Resource Resource

ABSTRACT:

Includes daily USGS streamflow measurements for 454 gauges throughout the Mississippi River Basin for the period April 1, 2010 to May 1, 2016, a shapefile of the USGS gauges, and assuming a theoretical launch date of the Surface Water and Ocean Topography (SWOT) Mission being April 16, 2010, sampled SWOT-observed discharges with and without preliminary SWOT discharge uncertainties (based on Hagemann et al. 2017; DOI: 10.1002/2017WR021626) .

Show More
Resource Resource

ABSTRACT:

Includes daily USGS streamflow measurements for 453 gauges throughout the Mississippi River Basin for the period April 1, 2010 to May 1, 2016, a shapefile of the USGS gauges, and assuming a theoretical launch date of the Surface Water and Ocean Topography (SWOT) Mission being April 16, 2010 or April 16, 2013, sampled SWOT-observed discharges with and without preliminary SWOT discharge uncertainties (based on Hagemann et al. 2017; DOI: 10.1002/2017WR021626) .

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Lateral Inflow Data and SWOT Discharge Algorithm, MetroMan
Created: April 25, 2020, 2:17 p.m.
Authors: Nickles, Cassandra · Beighley, Edward · Durand, Michael · Prata de Moraes, Renato

ABSTRACT:

Code and input/output files for a version of the SWOT discharge algorithm, MetroMan (Durand et al. 2014), used for the study, "Integrating lateral inflows into a SWOT Mission river discharge algorithm." This data is part of a case study incorporating lateral inflows into MetroMan for an 80 km section of the Muskingum River during a July 2013 20-day storm event.

Show More
Resource Resource

ABSTRACT:

This resource is a modified version of the Hillslope River Routing (HRR) model (Beighley et al., 2009), which now derives surface and subsurface flow using the Variable Infiltration Capacity (VIC) model formulation equations (Liang et al., 1994), termed the HRR-VIC model. HRR is a topography-based routing model that integrates surface and subsurface runoff laterally into river channels and routes discharges throughout the river network based on the Muskingum–Cunge method, resulting in discharge estimates for each river reach. Model results and code for 39 gauges in the Ohio River Basin over a 9 year span is presented, as a reference for the study, "The Applicability of SWOT’s Non-Uniform Space–Time Sampling in Hydrologic Model Calibration," doi:10.3390/rs12193241.

Show More
Resource Resource

ABSTRACT:

This resource contains five R-markdown scripts that process and analyze the connections between MERIT Hydro River reaches of the Mississippi River for Surface Water and Ocean Topography (SWOT) satellite observable rivers. The first code calculates the cumulative amount of urban land area for each reach in the basin. The second code relates the reaches, linking them based on drainage area ratios between 0.01 and 100. It filters these relationships based on whether a SWOT measurement could be donated from one location to the other via the drainage area ratio method, dam locations, and the amount of urban area between locations. Then, the potential increase in SWOT observations throughout the basin is calculated. The third code takes 373 gauges in the river basin and calculates Kling-Gupta Efficiency (KGE) values assessing the potential of using the drainage area ratio method among the gauges. The fourth assesses the impact dams, reservoirs, and urban area have on KGE values obtained. Finally, the fifth code expands simulated SWOT time series using the qualified drainage area ratio method and compares the expansion to daily discharges by first transforming each time series into a Log Pearson Type III distribution. KGE values between quantiles of each distribution are calculated and the Kolmogorov-Smirnov and Student t significance tests are performed. These codes and their associated text files serve as the resources for the study, "Leveraging river network topology and regionalization to expand SWOT-derived river discharge time series in the Mississippi River Basin" (doi:10.3390/rs13081590).

Show More