Precipitation Prediction | List of Frontiers open access articles

Original Research

Published on 22 May 2024

Improving monthly precipitation prediction accuracy using machine learning models: a multi-view stacking learning technique

in Water and Artificial Intelligence

Mounia El Hafyani
Khalid El Himdi
Salah-Eddine El Adlouni

Frontiers in Water

doi 10.3389/frwa.2024.1378598

6,255 views
21 citations

Original Research

Published on 12 May 2025

Multivariable modelling based on statistical and machine learning techniques for monthly precipitation forecasting in the eastern Amazon

in Atmospheric Science

Renata Gonçalves Tedeschi
Eduardo Costa de Carvalho
Antonio Vasconcelos Nogueira Neto
Claudia Priscila Wanzeler da Costa
Julio Cezar Goncalves de Freitas
Rafael de Lima Rocha
Ronnie Cley de Oliveira Alves
Ewerton Cristhian Lima de Oliveira

Frontiers in Earth Science

doi 10.3389/feart.2025.1576377

1,908 views

Original Research

Published on 05 Aug 2022

Forecasting of monthly precipitation based on ensemble empirical mode decomposition and Bayesian model averaging

in Environmental Informatics and Remote Sensing

Shangxue Luo
Meiling Zhang
Yamei Nie
Xiaonan Jia
Ruihong Cao
Meiting Zhu
Xiaojuan Li

Frontiers in Earth Science

doi 10.3389/feart.2022.926067

4,162 views
13 citations

Original Research

Published on 09 Jan 2023

A modified deep learning weather prediction using cubed sphere for global precipitation

in Predictions and Projections

Manmeet Singh
Nachiketa Acharya
Pratiman Patel
Sajad Jamshidi
Zong-Liang Yang
Bipin Kumar
Suryachandra Rao
Sukhpal Singh Gill
Rajib Chattopadhyay
Ravi S. Nanjundiah

Frontiers in Climate

doi 10.3389/fclim.2022.1022624

5,927 views
6 citations

Original Research

Published on 20 Sep 2022

Deep-learning-based post-processing for probabilistic precipitation forecasting

in Atmospheric Science

Yan Ji
Xiefei Zhi
Luying Ji
Yingxin Zhang
Cui Hao
Ting Peng

Frontiers in Earth Science

doi 10.3389/feart.2022.978041

6,327 views
14 citations

Original Research

Published on 11 May 2021

Modeling the Potential Distribution of the Malaria Vector Anopheles (Ano.) pseudopunctipennis Theobald (Diptera: Culicidae) in Arid Regions of Northern Chile

in Planetary Health

Lara Valderrama
Salvador Ayala
Carolina Reyes
Christian R. González

Frontiers in Public Health

doi 10.3389/fpubh.2021.611152

5,271 views
17 citations

Articles

Improving monthly precipitation prediction accuracy using machine learning models: a multi-view stacking learning technique

Multivariable modelling based on statistical and machine learning techniques for monthly precipitation forecasting in the eastern Amazon

Forecasting of monthly precipitation based on ensemble empirical mode decomposition and Bayesian model averaging

A modified deep learning weather prediction using cubed sphere for global precipitation

Deep-learning-based post-processing for probabilistic precipitation forecasting

Modeling the Potential Distribution of the Malaria Vector Anopheles (Ano.) pseudopunctipennis Theobald (Diptera: Culicidae) in Arid Regions of Northern Chile