[HTML][HTML] A comprehensive review towards resilient rainfall forecasting models using artificial intelligence techniques

MA Saleh, HM Rasel, B Ray - Green Technologies and Sustainability, 2024 - Elsevier
Rainfall is one of the remarkable hydrologic variables that is directly connected to the
sustainable environment for any region over the globe. The present study aims to review …

Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms

K Ahmed, DA Sachindra, S Shahid, Z Iqbal… - Atmospheric …, 2020 - Elsevier
Abstract Multi-Model Ensembles (MMEs) are often employed to reduce the uncertainties
related to GCM simulations/projections. The objective of this study was to evaluate the …

Evaluation of CMIP6 GCM rainfall in mainland Southeast Asia

Z Iqbal, S Shahid, K Ahmed, T Ismail, GF Ziarh… - Atmospheric …, 2021 - Elsevier
Global climate models (GCMs) of Coupled Model Intercomparison Project 6 (CMIP6) has
designed with new socioeconomic pathway scenarios to incorporate the socioeconomic …

Projection of temperature and precipitation in the Mediterranean region through multi-model ensemble from CMIP6

M Seker, V Gumus - Atmospheric Research, 2022 - Elsevier
In this study, future projections of monthly total precipitation and monthly average
temperatures are carried out using 22 global circulation models (GCMs) from phase 6 of the …

Systematic review of application of artificial intelligence tools in architectural, engineering and construction

MH Momade, S Durdyev, D Estrella… - Frontiers in Engineering …, 2021 - emerald.com
Purpose This study reviews the extent of application of artificial intelligence (AI) tools in the
construction industry. Design/methodology/approach A thorough literature review (based on …

Evaluation and projection of precipitation in Pakistan using the Coupled Model Intercomparison Project Phase 6 model simulations

A Abbas, S Ullah, W Ullah, M Waseem… - International Journal …, 2022 - Wiley Online Library
This study aimed to evaluate the performance of global climate models (GCMs) from the
family of the Coupled Model Intercomparison Project Phase 6 (CMIP6) in the historical …

Precipitation projection using a CMIP5 GCM ensemble model: a regional investigation of Syria

R Homsi, MS Shiru, S Shahid, T Ismail… - Engineering …, 2020 - Taylor & Francis
The possible changes in precipitation of Syrian due to climate change are projected in this
study. The symmetrical uncertainty (SU) and multi-criteria decision-analysis (MCDA) …

Selection of climate models for projection of spatiotemporal changes in temperature of Iraq with uncertainties

SA Salman, S Shahid, T Ismail, K Ahmed, XJ Wang - Atmospheric research, 2018 - Elsevier
A hybrid approach by combining the past performance and the envelope methods has been
proposed for the selection of an ensemble of general circulation models (GCMs) of Couple …

[HTML][HTML] Performance assessment of general circulation model in simulating daily precipitation and temperature using multiple gridded datasets

N Khan, S Shahid, K Ahmed, T Ismail, N Nawaz, M Son - Water, 2018 - mdpi.com
The performance of general circulation models (GCMs) in a region are generally assessed
according to their capability to simulate historical temperature and precipitation of the region …