Published June 4, 2026
| Version v2.1
Dataset
Open
Global Machine Learning Prior Files for SWOT Discharge Estimation
Description
Prior values for SWOT discharge estimation were derived from the ensemble mean discharge predicted by two machine learning models, δHBV2 and GRADES-hydroDL (see References for model descriptions).
The following prior variables were computed and replaced:
- max_q
- min_q
- mean_q
- monthly_q (Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct, Nov, Dec)
- two_year_return_q
- flow_duration_q (0.01, 0.06, 0.11, 0.16, ..., 0.91, 0.96)
- logQ_sd
| Name | ML Discharge Peiord | SWORD |
| MLprior_v1.0_SWORDv16 | 03/31/2023 - 02/28/2025 | v16 |
| MLprior_v2.0_SWORDv17 | 03/31/2023 - 02/28/2025 | v17 |
| MLprior_v2.1_SWORDv17 | 03/31/2023 - 12/31/2025 | v17 |
NOTE: "ML Discharge Period" indicates the period of machine learning predicted discharge used to compute the prior variables
Files
Files
(520.8 MB)
| Name | Size | |
|---|---|---|
|
md5:562f03c64f0d317dccbc82a0b74411c7
|
520.8 MB | Download |
Additional details
Related works
- References
- Publication: 10.1038/s41467-025-64367-1 (DOI)
- Publication: 10.1029/2024WR039764 (DOI)