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Data for "Learning from mistakes - Assessing the performance and uncertainty in process-based models"

<p><strong>Data for the publication &quot;Learning from mistakes - Assessing the performance and uncertainty in process-based models&quot;</strong></p> <p>The corresponding python code can be found at <a href="http://github.com/MoritzFeigl/Learning-from-mistakes">github.com/MoritzFeigl/Learning-from-mistakes</a>.</p> <p>This dataset contains data of hydrological and meteorological observations of the Fortress Ski Area (Alberta, Canada) for August 8-26, 2019. It consists of input and output files for the HFLUX models calibration period (C) and the validation periods (V, V3). The input files containes additional data used in the learning from mistakes workflow. The meteorological data and part of the hydrological data were provided by John Pomeroy and the University of Saskatchewan&rsquo;s Cold Water Laboratory.</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

Dataset details

Repository
zenodo
Published
August 11, 2021
License
cc-by-4.0
DOI
10.5281/zenodo.5185398

Scored with release 0.9.0

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