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Precipitation Prediction for Different Return Periods Through Data Reanalysis Provided by ERA5-Land, RAIN4PE And CHIRPS In The Nanay River Basin

  • Universidad Privada del Norte

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Due to the lack of pluviometric information and water records in Peru, it is difficult to propose water works and drainage projects to mitigate damages, thus being able to have a shelter from this disaster, consequently, these areas are highly vulnerable to extreme precipitation, flooding, damage to infrastructure and proliferation of diseases. What happened in the department of Loreto in 2022 was caused by high rainfall and increased flow in the Nanay river basin. The present investigation consists of collecting data from the following gridded products RAIN4PE, ERA5-Land and CHIRPS in the Google Earth Engine platform that has the function of giving us precipitation data which we will use for the Nanay basin. A comparison will be made in different cumulative return times 10, 100 and 1000, then we will compare and determine which gridded product is more like the real values given by a known weather station.

Original languageEnglish
Title of host publicationProceedings of the 13th International Conference on Fluid Flow, Heat and Mass Transfer, FFHMT 2026
EditorsBoguslaw Kruczek, Wael H. Ahmed, Farhad Ein-Mozaffari, Huasheng Wang, Jo Darkwa
PublisherAvestia Publishing
ISBN (Print)9781990800740
DOIs
StatePublished - 2026
Event13th International Conference on Fluid Flow, Heat and Mass Transfer, FFHMT 2026 - Barcelona, Spain
Duration: 9 Jun 202611 Jun 2026

Publication series

NameInternational Conference on Fluid Flow, Heat and Mass Transfer
Volume8
ISSN (Electronic)2369-3029

Conference

Conference13th International Conference on Fluid Flow, Heat and Mass Transfer, FFHMT 2026
Country/TerritorySpain
CityBarcelona
Period9/06/2611/06/26

Keywords

  • ArcGIS
  • CHIRPS
  • ERA5-Land
  • RAIN4PE
  • Rainfall
  • Return Periods
  • Watershed

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