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Improved multi‐model ensemble forecasts of Iran's precipitation and temperature using a hybrid dynamical‐statistical approach during fall and winter seasons

International journal of climatology, 2021-10, Vol.41 (12), p.5698-5725

2021

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Calibrated multi‐model ensemble seasonal prediction of Bangladesh summer monsoon rainfall

International journal of climatology, 2023-12, Vol.43 (15), p.6979-6992

2023

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Current state of the global operational aerosol multi‐model ensemble: An update from the International Cooperative for Aerosol Prediction (ICAP)

Quarterly journal of the Royal Meteorological Society, 2019-09, Vol.145 (S1), p.176-209

2019

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Using multi‐model ensembles of CMIP5 global climate models to reproduce observed monthly rainfall and temperature with machine learning methods in Australia

International journal of climatology, 2018-11, Vol.38 (13), p.4891-4902

2018

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Multi‐model ensemble of CMIP6 projections for future extreme climate stress on wheat in the North China plain

International journal of climatology, 2021-01, Vol.41 (S1), p.E171-E186

2021

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Double AMIS-ensemble deep learning for skin cancer classification

Expert systems with applications, 2023-12, Vol.234, p.121047, Article 121047

2023

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Spatial modeling of snow avalanche susceptibility using hybrid and ensemble machine learning techniques

Catena (Giessen), 2021-11, Vol.206, p.105524, Article 105524

Akay, Hüseyin

2021

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On the probabilistic skill of dual‐resolution ensemble forecasts

Quarterly journal of the Royal Meteorological Society, 2020-01, Vol.146 (727), p.707-723

2020

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Modelling temperature‐precipitation pressures on African timber heritage

International journal of climatology, 2023-12, Vol.43 (16), p.7447-7462

2023

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Comparative Assessment of Various Machine Learning‐Based Bias Correction Methods for Numerical Weather Prediction Model Forecasts of Extreme Air Temperatures in Urban Areas

Earth and space science (Hoboken, N.J.), 2020-04, Vol.7 (4), p.n/a

2020

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Multi‐model CMIP5 and CORDEX simulations of historical summer temperature and precipitation variabilities over West Africa

International journal of climatology, 2017-04, Vol.37 (5), p.2438-2450

2017

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Triple coupling random forest approach for bias correction of ensemble precipitation data derived from Earth system models for Divandareh‐Bijar Basin (Western Iran)

International journal of climatology, 2024-06, Vol.44 (7), p.2363-2390

2024

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Projected changes in temperature and precipitation in ten river basins over China in 21st century

International journal of climatology, 2015-05, Vol.35 (6), p.1125-1141

2015

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Using ensemble models to identify and apportion heavy metal pollution sources in agricultural soils on a local scale

Environmental pollution (1987), 2015-11, Vol.206, p.227-235

2015

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Optimal reliability ensemble averaging approach for robust climate projections over China

International journal of climatology, 2024-07, Vol.44 (9), p.2852-2875

2024

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Future changes of wind energy potentials over Europe in a large CMIP5 multi‐model ensemble

International journal of climatology, 2016-02, Vol.36 (2), p.783-796

2016

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Ensemble evaluation and projection of climate extremes in China using RMIP models

International journal of climatology, 2018-03, Vol.38 (4), p.2039-2055

2018

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Ensemble Skill Gains Obtained From the Multi‐Physics Versus Multi‐Model Approaches for Continental‐Scale Hydrological Simulations

Water resources research, 2021-07, Vol.57 (7), p.n/a

2021

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On the representation of atmospheric circulation modes in regional climate models over Western Europe

International journal of climatology, 2023-01, Vol.43 (1), p.668-682

Ibebuchi, Chibuike Chiedozie

2023

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Demographic resilience may sustain significant coral populations in a 2°C‐warmer world

Global change biology, 2023-07, Vol.29 (14), p.4152-4160

2023

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The Gulf toadfish goes south: assessing the potential habitat suitability of Opsanus beta in response to climate change

Acta scientiarum. Biological sciences, 2023-10, Vol.45 (1), p.e68519

2023

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Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditions

Global change biology, 2015-03, Vol.21 (3), p.1328-1341

2015

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A framework based on heterogeneous ensemble models for liquid steel temperature prediction in LF refining process

Applied soft computing, 2022-12, Vol.131, p.109724, Article 109724

2022

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A Multi‐Model Ensemble of Baseline and Process‐Based Models Improves the Predictive Skill of Near‐Term Lake Forecasts

Water resources research, 2024-03, Vol.60 (3), p.n/a

2024

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ENSEMBLES: A new multi-model ensemble for seasonal-to-annual predictions-Skill and progress beyond DEMETER in forecasting tropical Pacific SSTs

Geophysical research letters, 2009-11, Vol.36 (21), p.n/a

2009

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