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Influence on the Distribution Function of Annual Maximum Rainfall Series when Filling Data Using Lagrange Interpolation

8 pagesPublished: September 20, 2018

Abstract

Lagrange interpolation was applied to complete maximum annual rainfall data for five weather stations in Aguascalientes, State of Mexico; in most of them there were no variations in the type of distribution function obtained; in general, an overestimation of the extrapolated data was identified for different return periods when the original records were not used.

Keyphrases: Annual maximum rainfall., Distribution Function., Lagrange interpolation.

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 87--94

Links:
BibTeX entry
@inproceedings{HIC2018:Influence_on_Distribution_Function,
  author    = {Maritza Arganis and Margarita Preciado and Jes\textbackslash{}'Us Javier Cortes and Miguel Eduardo Gonzalez and V\textbackslash{}'Ictor Dami\textbackslash{}'An Pinilla},
  title     = {Influence on the Distribution Function of Annual Maximum Rainfall Series when Filling Data Using Lagrange Interpolation},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  pages     = {87--94},
  year      = {2018},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {https://easychair.org/publications/paper/kQfN},
  doi       = {10.29007/m75f}}
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