Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 27, issue 21
Articles | Volume 27, issue 21
https://doi.org/10.5194/hess-27-3957-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-3957-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 27, issue 21
Research article
 | 
08 Nov 2023
Research article |  | 08 Nov 2023

A semi-parametric hourly space–time weather generator

Ross Pidoto and Uwe Haberlandt

Viewed

Total article views: 2,021 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,609 357 55 2,021 46 54
  • HTML: 1,609
  • PDF: 357
  • XML: 55
  • Total: 2,021
  • BibTeX: 46
  • EndNote: 54
Views and downloads (calculated since 17 Feb 2023)
Cumulative views and downloads (calculated since 17 Feb 2023)

Viewed (geographical distribution)

Total article views: 2,021 (including HTML, PDF, and XML) Thereof 2,012 with geography defined and 9 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Nov 2024
Download
Short summary
Long continuous time series of meteorological variables (i.e. rainfall, temperature) are required for the modelling of floods. Observed time series are generally too short or not available. Weather generators are models that reproduce observed weather time series. This study extends an existing station-based rainfall model into space by enforcing observed spatial rainfall characteristics. To model other variables (i.e. temperature) the model is then coupled to a simple resampling approach.
Read more