A comparative study of extensive machine learning models for predicting long‐term monthly rainfall with an ensemble of climatic and meteorological predictors

Global prevalence of non-perennial rivers and streams

(2021) Mathis Loïc Messager et al.   NATURE

A Multiscale Precipitation Forecasting Framework: Linking Teleconnections and Climate Dipoles to Seasonal and 24‐hr Extreme Rainfall Prediction

(2020) Yong‐Tak Kim et al.   GEOPHYSICAL RESEARCH LETTERS

Long-term rainfall prediction using atmospheric synoptic patterns in semi-arid climates with statistical and machine learning methods

(2020) Javier Diez-Sierra et al.   JOURNAL OF HYDROLOGY

Identifying strong signals between low‐frequency climate oscillations and annual precipitation using long‐window correlation analysis

(2019) Jason Giovannettone et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Making the black box more transparent: Understanding the physical implications of machine learning

(2019) Amy McGovern et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Assessing the Applicability of Random Forest, Stochastic Gradient Boosted Model, and Extreme Learning Machine Methods to the Quantitative Precipitation Estimation of the Radar Data: A Case Study to Gwangdeoksan Radar, South Korea, in 2018

(2019) Ju-Young Shin et al.   Advances in Meteorology

A novel model for malaria prediction based on ensemble algorithms

(2019) Mengyang Wang et al.   PLoS One

Long-term seasonal rainfall forecasting: efficiency of linear modelling technique

(2018) Iqbal Hossain et al.   Environmental Earth Sciences

Identification of relationships between climate indices and long-term precipitation in South Korea using ensemble empirical mode decomposition

(2018) Taereem Kim et al.   JOURNAL OF HYDROLOGY

Using the Gradient Boosting Decision Tree to Improve the Delineation of Hourly Rain Areas during the Summer from Advanced Himawari Imager Data

(2018) Liang Ma et al.   JOURNAL OF HYDROMETEOROLOGY

A comparison of performance of several artificial intelligence methods for predicting the dynamic viscosity of TiO2/SAE 50 nano-lubricant

(2018) Mohammad Hemmat Esfe et al.   PHYSICA E-LOW-DIMENSIONAL SYSTEMS & NANOSTRUCTURES

How does the Asian summer precipitation-ENSO relationship change over the past 544 years?

(2018) Hui Shi et al.   CLIMATE DYNAMICS

Urbanization exacerbated the rainfall and flooding caused by hurricane Harvey in Houston

(2018) Wei Zhang et al.   NATURE

Improving TIGGE Precipitation Forecasts Using an SVR Ensemble Approach in the Huaihe River Basin

(2018) Chenkai Cai et al.   Advances in Meteorology

Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption

(2017) Muhammad Waseem Ahmad et al.   ENERGY AND BUILDINGS

Forecasting the Hydroclimatic Signature of the 2015/16 El Niño Event on the Western United States

(2017) N. Wanders et al.   JOURNAL OF HYDROMETEOROLOGY

Flood Disaster and Flood Control Measurements in Shanghai

(2017) Zhengzheng Zhou et al.   Natural Hazards Review

Does El Niño intensity matter for California precipitation?

(2016) Andrew Hoell et al.   GEOPHYSICAL RESEARCH LETTERS

Analysis and prediction of rainfall trends over Bangladesh using Mann–Kendall, Spearman’s rho tests and ARIMA model

(2016) Mohammad Atiqur Rahman et al.   METEOROLOGY AND ATMOSPHERIC PHYSICS

Spatial downscaling of precipitation using adaptable random forests

(2016) Xiaogang He et al.   WATER RESOURCES RESEARCH

Predictability of Precipitation Over the Conterminous U.S. Based on the CMIP5 Multi-Model Ensemble

(2016) Mingkai Jiang et al.   Scientific Reports

Improvement of rainfall and flood forecasts by blending ensemble NWP rainfall with radar prediction considering orographic rainfall

(2015) Wansik Yu et al.   JOURNAL OF HYDROLOGY

Flood hazard risk assessment model based on random forest

(2015) Zhaoli Wang et al.   JOURNAL OF HYDROLOGY

Long-term runoff study using SARIMA and ARIMA models in the United States

(2015) Mohammad Valipour   METEOROLOGICAL APPLICATIONS

Diagnostics for an Extreme Rain Event near Shanghai during the Landfall of Typhoon Fitow (2013)

(2015) Xuwei Bao et al.   MONTHLY WEATHER REVIEW

A gradient boosting method to improve travel time prediction

(2015) Yanru Zhang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Relationships between California rainfall variability and large-scale climate drivers

(2014) Alexandre O. Fierro   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Interdecadal changes in the relationship between Southern China winter-spring precipitation and ENSO

(2013) Jiepeng Chen et al.   CLIMATE DYNAMICS

A wavelet-based multiple linear regression model for forecasting monthly rainfall

(2013) Xinguang He et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Multiple regression and Artificial Neural Network for long-term rainfall forecasting using large scale climate modes

(2013) F. Mekanik et al.   JOURNAL OF HYDROLOGY

Application of artificial neural networks to rainfall forecasting in Queensland, Australia

(2012) John Abbot et al.   ADVANCES IN ATMOSPHERIC SCIENCES

Understanding, management and modelling of urban hydrology and its consequences for receiving waters: A state of the art

(2012) T.D. Fletcher et al.   ADVANCES IN WATER RESOURCES

Short-term load forecasting using SVR (support vector regression)-based radial basis function neural network with dual extended Kalman filter

(2012) Chia-Nan Ko et al.   ENERGY

Modeling and Prediction of Rainfall Using Radar Reflectivity Data: A Data-Mining Approach

(2012) Andrew Kusiak et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Combining the strengths of statistical and dynamical modeling approaches for forecasting Australian seasonal rainfall

(2012) Andrew Schepen et al.   JOURNAL OF GEOPHYSICAL RESEARCH

A modular class of multisite monthly rainfall generators for water resource management and impact studies

(2012) Francesco Serinaldi et al.   JOURNAL OF HYDROLOGY

Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir

(2012) Mohammad Valipour et al.   JOURNAL OF HYDROLOGY

Understanding the effect of climatology on monthly rainfall amounts in Australia using Tweedie GLMs

(2011) Md. Masud Hasan et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Univariate modelling of summer-monsoon rainfall time series: Comparison between ARIMA and ARNN

(2010) Surajit Chattopadhyay et al.   COMPTES RENDUS GEOSCIENCE

Identification of best predictors for forecasting seasonal rainfall and runoff in Australia

(2010) Dewi G. C. Kirono et al.   HYDROLOGICAL PROCESSES

A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series

(2009) Wen-Chuan Wang et al.   JOURNAL OF HYDROLOGY

Dynamical Forecast of Inter–El Niño Variations of Tropical SST and Australian Spring Rainfall

(2009) Eun-Pa Lim et al.   MONTHLY WEATHER REVIEW

Rainfall forecasting by technological machine learning models

(2008) Wei-Chiang Hong   APPLIED MATHEMATICS AND COMPUTATION