Differences in multi‐model ensembles of CMIP5 and CMIP6 projections for future droughts in South Korea
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Climatology"
DOI: 10.1002/joc.7386
Abstract: This study quantified the uncertainties of future drought projections in the South Korea case by means of the reliability ensemble averaging (REA) of 10 GCM equivalents of the Coupled Model Intercomparison Project, Phases 5 and… read more here.
Keywords: cmip5 cmip6; future droughts; model; mme ... See more keywords
Uncertainties and time of emergence of multi-model precipitation projection over homogeneous rainfall zones of India
Sign Up to like & getrecommendations! Published in 2017 at "Climate Dynamics"
DOI: 10.1007/s00382-017-3847-y
Abstract: Present study has assessed different sources of uncertainties in multi-model precipitation projection using Global Climate Models (GCMs) from coupled model inter-comparison project phase five (CMIP5) experiment over seven homogeneous rainfall zones of India namely North… read more here.
Keywords: multi model; precipitation; time; model ... See more keywords
A Multi-Model Nonstationary Rainfall-Runoff Modeling Framework: Analysis and Toolbox
Sign Up to like & getrecommendations! Published in 2019 at "Water Resources Management"
DOI: 10.1007/s11269-019-02283-y
Abstract: We present a framework and toolbox for multi-model (one at a time) nonstationary modeling of rainfall-runoff (RR) transformation. The designed time-varying nature of the five available conceptual RR models in the toolbox allows for modeling… read more here.
Keywords: toolbox; multi model; framework; model ... See more keywords
Multimodel Ensemble Projection of Hydro-climatic Extremes for Climate Change Impact Assessment on Water Resources
Sign Up to like & getrecommendations! Published in 2020 at "Water Resources Management"
DOI: 10.1007/s11269-020-02601-9
Abstract: Projected changes in climatic extremes, compared to the mean climate, exhibit a greater negative impact on the natural environment. Several studies reported that multi-model ensemble approach can improve the reliability of hydro-climatic extreme projection by… read more here.
Keywords: multi model; hydro climatic; climate; climatic extremes ... See more keywords
Multi-model assessment of trends, variability and drivers of terrestrial carbon uptake in India
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Earth System Science"
DOI: 10.1007/s12040-019-1120-y
Abstract: A multi-model-based assessment is made to assess the trends and variability in the land carbon uptake in India during the period 1901–2010. Data from nine models, used in a recent land surface model inter-comparison project… read more here.
Keywords: uptake india; multi; multi model; model ... See more keywords
Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-019-01591-w
Abstract: In this paper, we proposed Multi-model LSTM-based Pre-trained Convolutional Neural Networks (MLP-CNNs) as an ensemble majority voting classifier for the detection of plant diseases and pests. The proposed hybrid model is based on the combination… read more here.
Keywords: detection; multi model; model; apple ... See more keywords
Multi-model convection-resolving simulations of the October 2018 Vaia storm over Northeastern Italy
Sign Up to like & getrecommendations! Published in 2021 at "Atmospheric Research"
DOI: 10.1016/j.atmosres.2021.105455
Abstract: Abstract The aim of this study is to identify the main mesoscale features and mechanisms responsible for the generation of a very intense precipitation and wind storm event, named “Vaia”, that affected the eastern Italian… read more here.
Keywords: storm; october 2018; model convection; convection resolving ... See more keywords
Directional fast-marching and multi-model strategy to extract coronary artery centerlines
Sign Up to like & getrecommendations! Published in 2019 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2019.03.029
Abstract: BACKGROUND Computed tomography angiography (CTA) is a non-invasive technique to image coronary arteries and evaluate coronary artery diseases (CAD). The diagnosis of CAD requires modeling anatomical structures and analyzing the function and pathology of the… read more here.
Keywords: model strategy; model; coronary artery; multi model ... See more keywords
Multi-model ensemble improved the prediction of trends in soil organic carbon stocks in German croplands
Sign Up to like & getrecommendations! Published in 2019 at "Geoderma"
DOI: 10.1016/j.geoderma.2019.03.014
Abstract: Abstract Various soil organic carbon (SOC) models and additional methods to calculate carbon (C) input to soil are used to simulate SOC stocks, e.g. for national greenhouse gas inventories. Most of the SOC models used… read more here.
Keywords: model ensemble; model; model combinations; soil organic ... See more keywords
Control-relevant nonlinearity measure and integrated multi-model control
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Process Control"
DOI: 10.1016/j.jprocont.2017.07.001
Abstract: Abstract A control-relevant nonlinearity measure (CRNM) method is proposed based on the gap metric and the gap metric stability margin to measure the nonlinear degree of a system once a linear control strategy is selected.… read more here.
Keywords: integrated multi; multi model; control; measure ... See more keywords
Man-machine model: Pattern recognition and forecasts for complex structures supervised by multi-model ensembles
Sign Up to like & getrecommendations! Published in 2021 at "Structural Safety"
DOI: 10.1016/j.strusafe.2020.102022
Abstract: Abstract Numerical modelling is considered a standard tool for problem-solving in modern engineering. Based on various mechanisms, researchers have developed a collection of numerical models to simulate a complex system’s responses and provide forecasts for… read more here.
Keywords: machine; multi model; machine model; model ... See more keywords