MaxEnt modeling for predicting suitable habitats and identifying the effects of climate change on a threatened species, Daphne mucronata, in central Iran

SMR Abolmaali, M Tarkesh, H Bashari - Ecological Informatics, 2018 - Elsevier
Climate changes pose serious challenges to the persistence of plant species, especially
those with narrow habitats. Failure to adopt timely measures would lead to the permanent …

[HTML][HTML] Climate influence on the distribution of the yellow plum (Ximenia americana L.) in Burkina Faso

O Lompo, K Dimobe, E Mbayngone, S Savadogo… - Trees, Forests and …, 2021 - Elsevier
Yellow plum (Ximenia americana L.) is an indigenous and multipurpose tree species widely
used in West Africa and especially in Burkina Faso. Most of the species' organs are mainly …

Assessment of climate models performance and associated uncertainties in rainfall projection from CORDEX over the Eastern Nile Basin, Ethiopia

SM Yimer, A Bouanani, N Kumar, B Tischbein… - Climate, 2022 - mdpi.com
The adverse impact of climate change on different regionally important sectors such as
agriculture and hydropower is a serious concern and is currently at the epicentre of global …

Can we use crop modelling for identifying climate change adaptation options?

M Corbeels, D Berre, L Rusinamhodzi… - Agricultural and Forest …, 2018 - Elsevier
Climate model projections coupled with process-based crop models are advocated for
assessing impacts of climate change on crop yields and for informing crop-level adaptations …

Cooling and heating energy performance of a building with a variety of roof designs; the effects of future weather data in a cold climate

M Hosseini, F Tardy, B Lee - Journal of Building Engineering, 2018 - Elsevier
Building engineers commonly use the Typical Meteorological Year (TMY) weather data for
simulation and design purposes. However, the nature of TMY in excluding weather extremes …

Understanding future climate in the upper awash basin (UASB) with selected climate model outputs under CMIP6

YA Balcha, A Malcherek, T Alamirew - Climate, 2022 - mdpi.com
Climate change makes the climate system of a given region unpredictable and increases the
risk of water-related problems. GCMs (global climate models) help in understanding future …

Selection of CMIP5 multi-model ensemble for the projection of spatial and temporal variability of rainfall in peninsular Malaysia

M Noor, T Ismail, S Shahid, K Ahmed… - Theoretical and Applied …, 2019 - Springer
This study uses a multi-model ensemble (MME) for the assessment of the spatial and
temporal variations of rainfall in peninsular Malaysia under climate change scenarios. The …

Projection of rainfall intensity-duration-frequency curves at ungauged location under climate change scenarios

M Noor, T Ismail, S Shahid, M Asaduzzaman… - Sustainable Cities and …, 2022 - Elsevier
It is vital to quantify the changes in the IDF relationship due to climate change for designing
climate-resilient urban hydraulic structures. Such projections are also important for …

Integrated framework for assessment of time-variant flood fragility of bridges using deep learning neural networks

O Khandel, M Soliman - Journal of Infrastructure Systems, 2021 - ascelibrary.org
The increasing intensity and frequency of extreme hydrological events poses a significant
threat to the safety of transportation infrastructure across the globe. To reduce the failure risk …

Uncertainty analysis of statistical downscaling models using Hadley Centre Coupled Model

S Samadi, CAME Wilson, H Moradkhani - Theoretical and applied …, 2013 - Springer
Regression-based statistical downscaling is a method broadly used to resolve the coarse
spatial resolution of general circulation models. Nevertheless, the assessment of …