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

8 pages•Published: September 20, 2018

Maritza Arganis, Margarita Preciado, JesÚs Javier Cortes, Miguel Eduardo Gonzalez and VÍctor DamiÁn Pinilla

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:	https://easychair.org/publications/paper/kQfN
	https://doi.org/10.29007/m75f

BibTeX entry

@inproceedings{HIC2018:Influence_Distribution_Function_Annual,
  author    = {Maritza Arganis and Margarita Preciado and JesÚs Javier Cortes and Miguel Eduardo Gonzalez and VÍctor DamiÁn 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},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/kQfN},
  doi       = {10.29007/m75f},
  pages     = {87-94},
  year      = {2018}}

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