Data from: Operational Bayesian GLS Regression for Regional Hydrologic Analyses

Reis, Dirceu S Jr; Veilleux, Andrea G; Lamontagne, Jonathan R; Stedinger, Jery R; Martins, Eduardo S

doi:https://doi.org/10.7298/X4348HHJ

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Data from: Operational Bayesian GLS Regression for Regional Hydrologic Analyses

File(s)

ReisEtAl_WRR2018_SkewIL.txt (525 B)

ReisEtAl_WRR2018_SkewSC.txt (573 B)

ReisEtAl_WRR2018_Readme.txt (6.81 KB)

ReisEtAl_WRR2018_CovarianceMatrixIL.csv (37.57 KB)

ReisEtAl_WRR2018_CovarianceMatrixSC.csv (76.39 KB)

Permanent Link(s)

https://doi.org/10.7298/X4348HHJ

https://hdl.handle.net/1813/56521

Sponsorship

1 - Brazilian Government agency CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico
2- Water Resources Institute Internship Award #07HQAG0161 from the U.S. Geological Survey, U.S. Department of the Interior

Date Issued

2018

Rights

CC0 1.0 Universal

Rights URI

https://creativecommons.org/publicdomain/zero/1.0/

Type

dataset

Version History

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Version	Date	Summary
2	2020-02-25 19:49:22	Updated dataset for revised manuscript.
1*	2018-04-11 15:39:07

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