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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Synthetic river datasets built for testing and development of the Surface Water and Ocean Topography mission discharge algorithms

Authors: Frasson, Renato Prata de Moraes; Michael T. Durand; Kevin Larnier; Colin Gleason; Konstantinos M. Andreadis; Mark Hagemann; Robert Dudley; +9 Authors

Synthetic river datasets built for testing and development of the Surface Water and Ocean Topography mission discharge algorithms

Abstract

1.Summary Datasets used for testing the performance of discharge estimation algorithms built in support of the Surface Water and Ocean Topography satellite mission. The benchmarking manuscript entitled “Exploring the factors controlling the performance of the Surface Water and Ocean Topography mission discharge algorithms” is currently under review at Water Resources Research. Once the manuscript is accepted, its DOI will be included here. 2.File description The dataset is divided into four groups: 1-Ideal data, 2-Varying Temporal Sampling, 3-Measurement Uncertainty, and 4-SWOT Sampling and Uncertainty. Ideal data contains daily measurements with no observational uncertainty. Varying Temporal Sampling downsamples the ideal measurements considering different temporal frequencies with complete sets assuming: 1 measurement every 2 days, 3 days, 4 days, 5 days, 7 days, 10 days, and 21 days. The measurement uncertainty set adds errors to cross-sectional heights and widths, which are used to compute reach average height, width, and slope considering error corruption. The final set SWOT Sampling and Uncertainty accounts for SWOT temporal sampling and measurement uncertainty. Sets containing uncertainty have extra height, width, and slope attributes with the word true appended to the attribute name. Such attributes represent the uncorrupted measurements at the cross-section and reach scales. Height, width, and slopes for the SWOT sampling and Uncertainty dataset containing the value of negative 9999 denote points that are not observed at a particular location and time step. Data will be contained in one NetCDF file per river. The file contains the following groups and variables: /River_Info/ Name: River name, data type: char QWBM: Mean annual discharge from the water balance model WBMsed (Cohen et al., 2014) rch_bnd: Reach boundaries measured in meters from the upstream end of the model gdrch: Reaches used in the study. Used to exclude small reaches defined around low-head dams and other obstacles where Manning’s equation should not be applied. /XS_Timeseries/ t: Time measured in days since the first day or “0-January-0000” for cases when specific dates were available. Dimension: 1,time step. Z: Bed elevation in meters. Dimension: Cross-section, time step. xs_rch: Reach number for each cross-section. Dimension: Cross-section,1. X: Flow distance measured from the most upstream end of the model to the cross-section (meters). Dimension: Cross-section, 1. longitude: Cross-section longitude in decimal degrees. Dimension: Cross-section,1. latitude: Cross-section latitude in decimal degrees. Dimension: Cross-section,1. W: River width in meters. Dimension: Cross-section, time step. Wtrue: River width in meters. Dimension: Cross-section, time step. Only present in datasets containing measurement uncertainty, in which case, this variable holds the water surface elevation value with no uncertainty. Q: Discharge (m3/s). Dimension: Cross-section, time step. H: Water surface elevation in meters. Dimension: Cross-section, time step. Htrue: Water surface elevation in meters. Dimension: Cross-section, time step. Only present in datasets containing measurement uncertainty, in which case, this variable holds the water surface elevation value with no uncertainty. A: Cross-sectional area of flow in m2. Dimension: Cross-section, time step. P: Wetted perimeter in meters. Dimension: Cross-section, time step. n: Manning’s roughness. Dimension: Cross-section, time step. /Reach_Timeseries/ t: Time measured in days since the first day or “0-January-0000” for cases when specific dates were available. Dimension: 1,time step. W: Reach averaged river width in meters. Dimension: Reach, time step. Wtrue: Reach averaged river width in meters. Dimension: Reach, time step. Only present in datasets containing measurement uncertainty, in which case, this variable holds the width value with no uncertainty. Q: Reach averaged discharge (m3/s). Dimension: Reach, time step. H: Reach averaged water surface elevation in meters. Dimension: Reach, time step. Htrue: Reach averaged water surface elevation in meters. Dimension: Reach, time step. Only present in datasets containing measurement uncertainty, in which case, this variable holds the water surface elevation value with no uncertainty. S: Reach averaged water surface slope in meters per meter. Reach, time step. Strue: Reach averaged water surface slope in meters per meter. Dimension: Reach, time step. Only present in datasets containing measurement uncertainty, in which case, this variable holds the slope value with no uncertainty. A: Reach averaged area of flow in m2. Dimension: Reach, time step. References Cohen, S., A. J. Kettner, and J. P. M. Syvitski (2014), Global suspended sediment and water discharge dynamics between 1960 and 2010: Continental trends and intra-basin sensitivity, Glob. Planet. Change, 115, 44-58, doi: https://doi.org/10.1016/j.gloplacha.2014.01.011.

Keywords

Simulations, Discharge inversions, Rivers, Hydraulic models

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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