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   Articles with "multi model" as a keyword



Differences in multi‐model ensembles of CMIP5 and CMIP6 projections for future droughts in South Korea

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recommendations! 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

On the NextGen‐Chile Forecast System: A Calibrated Multi‐Model Ensemble Approach for Seasonal Precipitation Forecasts

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recommendations! Published in 2025 at "International Journal of Climatology"

DOI: 10.1002/joc.8747

Abstract: Development and dissemination of seasonal forecasts are integral components of the climate services provided by numerous meteorological services worldwide, offering estimates of meteorological variables on a seasonal time scale to aid local warning systems and… read more here.

Keywords: system; nextgen chile; model ensemble; forecast ... See more keywords

Uncertainties and time of emergence of multi-model precipitation projection over homogeneous rainfall zones of India

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recommendations! 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

Koopman operator-based multi-model for predictive control

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recommendations! Published in 2024 at "Nonlinear Dynamics"

DOI: 10.1007/s11071-024-09615-7

Abstract: This work describes a new model structure developed for prediction in Model Predictive Control (MPC). The model has a multi-model structure in which independent sub-models are employed for the consecutive sampling instants. The model lifts… read more here.

Keywords: model predictive; predictive control; model; multi model ... See more keywords

A Multi-Model Nonstationary Rainfall-Runoff Modeling Framework: Analysis and Toolbox

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recommendations! 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
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Multimodel Ensemble Projection of Hydro-climatic Extremes for Climate Change Impact Assessment on Water Resources

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recommendations! 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

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recommendations! 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

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recommendations! 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
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Multi-model convection-resolving simulations of the October 2018 Vaia storm over Northeastern Italy

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recommendations! 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

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recommendations! 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

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recommendations! 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