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| Type: | Resource | |
| Storage: | The size of this resource is 842.8 KB | |
| Created: | Jun 07, 2022 at 7:20 a.m. | |
| Last updated: | Jan 04, 2023 at 11:18 a.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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| Views: | 835 |
| Downloads: | 22 |
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| Comments: | 1 comment |
Abstract
This is a command-prompt tool that estimates the uncertainty of model runs based on simulations of the same model during a period with observations.
The program produces three files inside the path of the executable: Shigh.csv, Slow.csv and Smed.csv. These 1-column-csv files give the upper (Shigh.csv) and lower (Slow.csv) bounds of the 80% confidence intervals, and the median value. You can use these files to get plots like those displayed in Figures 2, 5, A3, A5 of [1]. For the theoretical background, please see [1].
1. E. Rozos, D. Koutsoyiannis, and A. Montanari, KNN vs. Bluecat - Machine Learning vs. Classical Statistics, Hydrology, doi:10.3390/hydrology9060101, 9(6), 101, 2022.
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This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
Evangelos Rozos 1 year, 3 months ago
The version uploaded on 4 Jan 2023 allows to compile code to a MATLAB (or GNU Octave) executable.
ReplyA bug was fixed, which was triggered when the extrapolation flag was set and the number of assessed values was less than k.
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