A review on interpretable and explainable artificial intelligence in hydroclimatic applications
This review focuses on the use of Interpretable Artificial Intelligence (IAI) and eXplainable
Artificial Intelligence (XAI) models for data imputations and numerical or categorical …
Artificial Intelligence (XAI) models for data imputations and numerical or categorical …
[PDF][PDF] A novel selection method of CMIP6 GCMs for robust climate projection
The selection of Global climate models (GCMs) is a major challenge for reliable projection of
climate. A novel method is introduced in this study to select couple model intercomparison …
climate. A novel method is introduced in this study to select couple model intercomparison …
Future precipitation changes in Egypt under the 1.5 and 2.0 C global warming goals using CMIP6 multimodel ensemble
MS Nashwan, S Shahid - Atmospheric Research, 2022 - Elsevier
Abstract Rainfall projections for 1.5 and 2.0° C warming can explain regional precipitation
response to emission reductions under the Paris Agreements' goals. Assessment of such …
response to emission reductions under the Paris Agreements' goals. Assessment of such …
[PDF][PDF] Inter-comparison of historical simulation and future projections of rainfall and temperature by CMIP5 and CMIP6 GCMs over Egypt
Abstract The Global Climate Models (GCMs) performances of the recently released Coupled
Model Intercomparison Project phase 6 (CMIP6) compared to its predecessor, CMIP5, are …
Model Intercomparison Project phase 6 (CMIP6) compared to its predecessor, CMIP5, are …
Multi-criteria performance evaluation of gridded precipitation and temperature products in data-sparse regions
Inadequate climate data stations often make hydrological modelling a rather challenging
task in data-sparse regions. Gridded climate data can be used as an alternative; however …
task in data-sparse regions. Gridded climate data can be used as an alternative; however …
Application of Boruta algorithms as a robust methodology for performance evaluation of CMIP6 general circulation models for hydro-climatic studies
Regional climate models are essential for climate change projections and hydrologic
modelling studies, especially in watersheds that are overly sensitive to changes in climate …
modelling studies, especially in watersheds that are overly sensitive to changes in climate …
Evaluation of empirical reference evapotranspiration models using compromise programming: A case study of Peninsular Malaysia
Selection of appropriate empirical reference evapotranspiration (ETo) estimation models is
very important for the management of agriculture, water resources, and environment …
very important for the management of agriculture, water resources, and environment …
Spatial mapping of the provenance of storm dust: Application of data mining and ensemble modelling
Spatial modelling of storm dust provenance is essential to mitigate its on-site and off-site
effects in the arid and semi-arid environments of the world. Therefore, the main aim of this …
effects in the arid and semi-arid environments of the world. Therefore, the main aim of this …
[PDF][PDF] A novel framework for selecting general circulation models based on the spatial patterns of climate
MS Nashwan, S Shahid - International Journal of Climatology, 2020 - researchgate.net
General circulation models (GCMs), used for climate change projections, should be able to
simulate both the temporal variability and spatial patterns of the observed climate. However …
simulate both the temporal variability and spatial patterns of the observed climate. However …
Machine-learning algorithms for predicting land susceptibility to dust emissions: The case of the Jazmurian Basin, Iran
In this study, we apply six machine-learning algorithms (XGBoost, Cubist, BMARS, ANFIS,
Cforest and Elasticnet) to investigate the susceptibility of the Jazmurian Basin in …
Cforest and Elasticnet) to investigate the susceptibility of the Jazmurian Basin in …