Ancillary dataset for Global River BankFull Discharge (GQBF)
Authors/Creators
Contributors
Data collector (2):
Research group:
Researcher:
Description
This is a collection of the ancillary data of the Global River Bankfull Discharge (GQBF). It consists of 6 columns, [domain, reach_id, cv, darea_flag, grwl_width_flag, mapped].
This data should be matched with the GQBF dataset with [domain, reach_id].
The cv (coefficient of variation) indicates the relative uncertainty in the global estimation of bankfull river discharge (GQBF). The CV represents the variability among the tree-level estimations produced by the deployed random forest model and is calculated as the ratio of the standard deviation to the mean value across all tree estimations.
The darea_flag, grwl_width_flag indicate whether the drainage area, width of the river reach is out-of-distribution of the training samples of the bankfull discharge, respectively.
The mapped column flags river reaches as 0 when they either have width narrower than 30 m (or their overlap with the GRWL_WIDTH <0.5), or their estimated bankfull discharge is null, otherwise it is 1. Note, the out-of-distribution river reaches are not considered as a rule to calculate this field. Those out-of-distribution river reaches should be identified with the darea_flag, grwl_width_flag.
Change log
- v0.1 - 2024-09-29
- First globally complete dataset published
- v0.1 - 2024-11-19
- Add vector files for regions SI, SP
- v0.1 - 2025-10-27
- Add the coefficient of variation of bankfull discharge estimations
- v0.1 - 2026-02-06
- Add compiled ancillary data for bankfull discharge estimations
Files
GLOBAL_reach_QBFestuncertainty_FLAGout-of-distribution.csv
Files
(528.4 MB)
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Additional details
Identifiers
Related works
- Is published in
- Preprint: 10.21203/rs.3.rs-5185659/v1 (DOI)
- References
- Preprint: 10.1029/2024WR038308 (DOI)
Funding
- UK Research and Innovation
- THE EVOLUTION OF GLOBAL FLOOD HAZARD AND RISK [EVOFLOOD] NE/S015728/1
Dates
- Available
-
2025-10-27
Software
- Repository URL
- https://github.com/YinxueLiu/G-QBF
- Programming language
- R , Python
- Development Status
- Active