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A Global Hydrologic Framework to Accelerate Scientific Discovery Cover

A Global Hydrologic Framework to Accelerate Scientific Discovery

Open Access
|Jan 2019

Figures & Tables

Table 1

Available components for Xanthos 2, their component types, and references to the supporting algorithms.

ComponentTypeAlgorithm Reference
Penman-MonteithPETMcMahon et al. 2012; Monteith 1965 [11, 12]
Hargreaves-SamaniPETHargreaves and Samani 1982 [16]
HargreavesPETHargreaves et al. 1985 [17]
ThornthwaitePETThornthwaite 1948 [28]
abcdRunoffLiu et al. 2018 [13]
Global Water Availability Model (GWAM)RunoffHejazi et al. 2014 [3]
Modified River Transport Model (MRTM)RoutingZhou et al. 2015; Li et al. 2015 [14, 15]
DiagnosticsPost-processingLi et al. 2017 [10]
Time Series PlottingPost-processingLi et al. 2017 [10]
Accessible WaterPost-processingKim et al. 2016 [18]
Hydropower – PotentialPost-processingZhou et al. 2015 [14]
Hydropower – ActualPost-processingTurner et al. 2017a; Turner et al. 2017b [19, 20]
Calibration – abcdAncillaryStorn and Price 1997 [21]
Table 2

Xanthos expected outputs when using the default configuration and the accessible water, hydropower – potential, hydropower – actual, diagnostics, and time series plots post-processing modules.

OutputSourceUnits
Potential Evapotranspiration (PET) per grid cellPETMonthly or annually; mm/time or km3/time
Actual Evapotranspiration (AET) per grid cellRunoffMonthly or annually; mm/time or km3/time
Gridded runoff per grid cellRunoffMonthly or annually; mm/time or km3/time
Aggregated total runoff per basinRunoffMonthly or annually; mm/time or km3/time
Aggregated total runoff per GCAM countryRunoffMonthly or annually; mm/time or km3/time
Aggregated total runoff per GCAM regionRunoffMonthly or annually; mm/time or km3/time
Soil moisture per grid cellRunoffMonthly or annually; mm/time or km3/time
Average channel flow per grid cellRoutingMonthly; m3/second
Accessible waterAccessible waterMonthly or annually; mm/time or km3/time
Exploitable hydropower potential by GCAM regionHydropower – PotentialMonthly or annually; EJ/time
Technical hydropower potential by GCAM regionHydropower – PotentialMonthly or annually; EJ/time
Actual hydropower productionHydropower – ActualMonthly or annually; EJ/time
Diagnostics – runoff by basinDiagnosticsAnnually; km3/year
Diagnostics – runoff by GCAM countryDiagnosticsAnnually; km3/year
Diagnostics – runoff by GCAM regionDiagnosticsAnnually; km3/year
Time series plots – streamflow by basinTime Series PlotsMonthly or annually; mm/time or km3/time
Time series plots – streamflow by GCAM countryTime Series PlotsMonthly or annually; mm/time or km3/time
Time series plots – streamflow by GCAM regionTime Series PlotsMonthly or annually; mm/time or km3/time
Figure 1

Xanthos 2 module diagram and workflow for the default configuration. Components in green provide built-in functionality; blue components are the interchangeable core modules; and orange components are post-processing modules that have been extended.

Figure 2

Performance of calibrated runoff by water basin (235 basins globally) from the abcd module using SciPy’s differential evolution optimization function when compared to VIC model runoff forced by WATCH data for years 1971–1991. Note that runoff is converted to km3 by multiplying by basin area, and each data point denotes the long term mean annual runoff of a water basin.

DOI: https://doi.org/10.5334/jors.245 | Journal eISSN: 2049-9647
Language: English
Submitted on: Aug 20, 2018
Accepted on: Dec 10, 2018
Published on: Jan 7, 2019
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2019 Chris R. Vernon, Mohamad I. Hejazi, Sean W. D. Turner, Yaling Liu, Caleb J. Braun, Xinya Li, Robert P. Link, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.