Articles | Volume 17, issue 2
https://doi.org/10.5194/gmd-17-477-2024
https://doi.org/10.5194/gmd-17-477-2024
Methods for assessment of models
 | 
19 Jan 2024
Methods for assessment of models |  | 19 Jan 2024

mesas.py v1.0: a flexible Python package for modeling solute transport and transit times using StorAge Selection functions

Ciaran J. Harman and Esther Xu Fei

Viewed

Total article views: 2,458 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,832 528 98 2,458 97 154
  • HTML: 1,832
  • PDF: 528
  • XML: 98
  • Total: 2,458
  • BibTeX: 97
  • EndNote: 154
Views and downloads (calculated since 12 Dec 2022)
Cumulative views and downloads (calculated since 12 Dec 2022)

Viewed (geographical distribution)

Total article views: 2,458 (including HTML, PDF, and XML) Thereof 2,406 with geography defined and 52 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
Short summary
Over the last 10 years, scientists have developed StorAge Selection: a new way of modeling how material is transported through complex systems. Here, we present some new, easy-to-use, flexible, and very accurate code for implementing this method. We show that, in cases where we know exactly what the answer should be, our code gets the right answer. We also show that our code is closer than some other codes to the right answer in an important way: it conserves mass.
Share