Analyzing Interpolation Approaches for Rainfall Data A Case Study in São José dos Campos (Brazil)

Vol 56, 2024 - 310100
Poster formatting rules (PS)
Download
Favorite this paper
How to cite this paper?
Abstract
This study compares interpolation methods (IDW, Kriging, and Splines) to estimate precipitation in São José dos Campos, SP. Given the high variability and costs of rainfall stations, interpolation offers a viable solution for rainfall monitoring. Two instances of 10 and 35 locations were tested. Results indicated that IDW showed greater consistency and less variation in MAPE, while Splines showed more significant variability and outliers but results closer to the original. Kriging had a lower median but with more dispersion in some cases. Choosing the ideal method may depend on the specific instance used.

Share your ideas or questions with the authors!

Did you know that the greatest stimulus in scientific and cultural development is curiosity? Leave your questions or suggestions to the author!

Sign in to interact

Have a question or suggestion? Share your feedback with the authors!

Programme
16:30 to 17:10 on 11/05/2024
Hall do Centro de E…
Institutions
  • 1 Universidade Federal de São Paulo
  • 2 UNIFESP
  • 3 Centro Nacional de Monitoramento e Alertas de Desastres Naturais
Track
  • 4. AG&MA – OR in Agriculture and Environment
Keywords
Interpolation Methods
Precipitation Interpolation
Geographic Interpolation