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1
Crop modelling for integrated assessment of risk to food production from climate change
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Crop modelling for integrated assessment of risk to food production from climate change

Ewert, F. ; Rötter, R.P. ; Bindi, M. ; Webber, H. ; Trnka, M. ; Kersebaum, K.C. ; Olesen, J.E. ; van Ittersum, M.K. ; Janssen, S. ; Rivington, M. ; Semenov, M.A. ; Wallach, D. ; Porter, J.R. ; Stewart, D. ; Verhagen, J. ; Gaiser, T. ; Palosuo, T. ; Tao, F. ; Nendel, C. ; Roggero, P.P. ; Bartošová, L. ; Asseng, S.

Environmental modelling & software : with environment data news, 2015-10, Vol.72, p.287-303 [Periódico revisado por pares]

Elsevier Ltd

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2
Satellite-based ground PM2.5 estimation using timely structure adaptive modeling
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Artigo
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Satellite-based ground PM2.5 estimation using timely structure adaptive modeling

Fang, Xin ; Zou, Bin ; Liu, Xiaoping ; Sternberg, Troy ; Zhai, Liang

Remote sensing of environment, 2016-12, Vol.186, p.152-163 [Periódico revisado por pares]

Elsevier Inc

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3
Applications of process and digital twin models for production simulation and scheduling in the manufacturing of food ingredients and products
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Applications of process and digital twin models for production simulation and scheduling in the manufacturing of food ingredients and products

Koulouris, Alexandros ; Misailidis, Nikiforos ; Petrides, Demetri

Food and bioproducts processing, 2021-03, Vol.126, p.317-333 [Periódico revisado por pares]

Rugby: Elsevier B.V

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4
Modelling olive trees and grapevines in a changing climate
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Artigo
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Modelling olive trees and grapevines in a changing climate

Moriondo, Marco ; Ferrise, Roberto ; Trombi, Giacomo ; Brilli, Lorenzo ; Dibari, Camilla ; Bindi, Marco

Environmental modelling & software : with environment data news, 2015-10, Vol.72, p.387-401 [Periódico revisado por pares]

Elsevier Ltd

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5
Selecting regional climate scenarios for impact modelling studies
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Artigo
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Selecting regional climate scenarios for impact modelling studies

Wilcke, Renate A.I. ; Bärring, Lars

Environmental modelling & software : with environment data news, 2016-04, Vol.78, p.191-201 [Periódico revisado por pares]

Elsevier Ltd

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6
Deep learning convolutional neural network in rainfall–runoff modelling
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Artigo
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Deep learning convolutional neural network in rainfall–runoff modelling

Van, Song Pham ; Le, Hoang Minh ; Thanh, Dat Vi ; Dang, Thanh Duc ; Loc, Ho Huu ; Anh, Duong Tran

Journal of hydroinformatics, 2020-05, Vol.22 (3), p.541-561 [Periódico revisado por pares]

London: IWA Publishing

Sem texto completo

7
A model integration framework for linking SWAT and MODFLOW
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Artigo
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A model integration framework for linking SWAT and MODFLOW

Guzman, J.A. ; Moriasi, D.N. ; Gowda, P.H. ; Steiner, J.L. ; Starks, P.J. ; Arnold, J.G. ; Srinivasan, R.

Environmental modelling & software : with environment data news, 2015-11, Vol.73, p.103-116 [Periódico revisado por pares]

Elsevier Ltd

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8
Assessing the impact of sea level rise due to climate change on seawater intrusion in Mekong Delta, Vietnam
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Assessing the impact of sea level rise due to climate change on seawater intrusion in Mekong Delta, Vietnam

Vu, D T ; Yamada, T ; Ishidaira, H

Water science and technology, 2018-03, Vol.77 (5-6), p.1632-1639 [Periódico revisado por pares]

England: IWA Publishing

Sem texto completo

9
Multiobjective optimisation on a budget: Exploring surrogate modelling for robust multi-reservoir rules generation under hydrological uncertainty
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Multiobjective optimisation on a budget: Exploring surrogate modelling for robust multi-reservoir rules generation under hydrological uncertainty

Tsoukalas, Ioannis ; Makropoulos, Christos

Environmental modelling & software : with environment data news, 2015-07, Vol.69, p.396-413 [Periódico revisado por pares]

Elsevier Ltd

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10
The challenges – and some solutions – to process-based modelling of grazed agricultural systems
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Artigo
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The challenges – and some solutions – to process-based modelling of grazed agricultural systems

Snow, V.O. ; Rotz, C.A. ; Moore, A.D. ; Martin-Clouaire, R. ; Johnson, I.R. ; Hutchings, N.J. ; Eckard, R.J.

Environmental modelling & software : with environment data news, 2014-12, Vol.62, p.420-436 [Periódico revisado por pares]

Elsevier Ltd

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