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561

Identifying environmental controls on vegetation greenness phenology through model-data integration

by Forkel, M., Carvalhais, N., Schaphoff, S., v. Bloh, W., Migliavacca, M., Thurner, M., Thonicke, K.
Published 2014
“.... Combining DGVMs with observational data sets can potentially help to revise current modelling approaches...”

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562

Identifying environmental controls on vegetation greenness phenology through model-data integration

by Forkel, M., Carvalhais, N., Schaphoff, S., v. Bloh, W., Migliavacca, M., Thurner, M., Thonicke, K.
Published 2014
“.... Combining DGVMs with observational data sets can potentially help to revise current modelling approaches...”

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Select result number 563
563

Identifying environmental controls on vegetation greenness phenology through model-data integration

by Forkel, M., Carvalhais, N., Schaphoff, S., v. Bloh, W., Migliavacca, M., Thurner, M., Thonicke, K.
Published 2014
“.... Combining DGVMs with observational data sets can potentially help to revise current modelling approaches...”

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Select result number 564
564

Identifying environmental controls on vegetation greenness phenology through model-data integration

by Forkel, M., Carvalhais, N., Schaphoff, S., v. Bloh, W., Migliavacca, M., Thurner, M., Thonicke, K.
Published 2014
“.... Combining DGVMs with observational data sets can potentially help to revise current modelling approaches...”

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Select result number 565
565

Identifying environmental controls on vegetation greenness phenology through model-data integration

by Forkel, M., Carvalhais, N., Schaphoff, S., v. Bloh, W., Migliavacca, M., Thurner, M., Thonicke, K.
Published 2014
“.... Combining DGVMs with observational data sets can potentially help to revise current modelling approaches...”

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Select result number 566
566

Identifying environmental controls on vegetation greenness phenology through model-data integration

by Forkel, M., Carvalhais, N., Schaphoff, S., v. Bloh, W., Migliavacca, M., Thurner, M., Thonicke, K.
Published 2014
“.... Combining DGVMs with observational data sets can potentially help to revise current modelling approaches...”

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Select result number 567
567

Identifying environmental controls on vegetation greenness phenology through model-data integration

by Forkel, M., Carvalhais, N., Schaphoff, S., v. Bloh, W., Migliavacca, M., Thurner, M., Thonicke, K.
Published 2014
“.... Combining DGVMs with observational data sets can potentially help to revise current modelling approaches...”

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Select result number 568
568

Identifying environmental controls on vegetation greenness phenology through model-data integration

by Forkel, M., Carvalhais, N., Schaphoff, S., v. Bloh, W., Migliavacca, M., Thurner, M., Thonicke, K.
Published 2014
“.... Combining DGVMs with observational data sets can potentially help to revise current modelling approaches...”

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Article in Journal/Newspaper
Select result number 569
569

Identifying environmental controls on vegetation greenness phenology through model-data integration

by Forkel, M., Carvalhais, N., Schaphoff, S., v. Bloh, W., Migliavacca, M., Thurner, M., Thonicke, K.
Published 2014
“.... Combining DGVMs with observational data sets can potentially help to revise current modelling approaches...”

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Article in Journal/Newspaper
Select result number 570
570

Identifying environmental controls on vegetation greenness phenology through model-data integration

by Forkel, M., Carvalhais, N., Schaphoff, S., v. Bloh, W., Migliavacca, M., Thurner, M., Thonicke, K.
Published 2014
“.... Combining DGVMs with observational data sets can potentially help to revise current modelling approaches...”

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Article in Journal/Newspaper
Select result number 571
571

Identifying environmental controls on vegetation greenness phenology through model-data integration

by Forkel, M., Carvalhais, N., Schaphoff, S., v. Bloh, W., Migliavacca, M., Thurner, M., Thonicke, K.
Published 2014
“.... Combining DGVMs with observational data sets can potentially help to revise current modelling approaches...”

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Article in Journal/Newspaper
Select result number 572
572

Identifying environmental controls on vegetation greenness phenology through model-data integration

by Forkel, M., Carvalhais, N., Schaphoff, S., v. Bloh, W., Migliavacca, M., Thurner, M., Thonicke, K.
Published 2014
“.... Combining DGVMs with observational data sets can potentially help to revise current modelling approaches...”

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Article in Journal/Newspaper
Select result number 573
573

Identifying environmental controls on vegetation greenness phenology through model-data integration

by Forkel, M., Carvalhais, N., Schaphoff, S., v. Bloh, W., Migliavacca, M., Thurner, M., Thonicke, K.
Published 2014
“.... Combining DGVMs with observational data sets can potentially help to revise current modelling approaches...”

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Article in Journal/Newspaper
Select result number 574
574

Identifying environmental controls on vegetation greenness phenology through model-data integration

by Forkel, M., Carvalhais, N., Schaphoff, S., v. Bloh, W., Migliavacca, M., Thurner, M., Thonicke, K.
Published 2014
“.... Combining DGVMs with observational data sets can potentially help to revise current modelling approaches...”

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Article in Journal/Newspaper
Select result number 575
575

Identifying environmental controls on vegetation greenness phenology through model-data integration

by Forkel, M., Carvalhais, N., Schaphoff, S., v. Bloh, W., Migliavacca, M., Thurner, M., Thonicke, K.
Published 2014
“.... Combining DGVMs with observational data sets can potentially help to revise current modelling approaches...”

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Article in Journal/Newspaper
Select result number 576
576

Identifying environmental controls on vegetation greenness phenology through model-data integration

by Forkel, M., Carvalhais, N., Schaphoff, S., v. Bloh, W., Migliavacca, M., Thurner, M., Thonicke, K.
Published 2014
“.... Combining DGVMs with observational data sets can potentially help to revise current modelling approaches...”

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Article in Journal/Newspaper
Select result number 577
577

Meteorological, snow and soil data, CO 2 , water and energy fluxes, from a low-Arctic valley in the forest-tundra ecotone of Northern Quebec

by Lackner, Georg, Domine, Florent, Sarrazin, Denis, Nadeau, Daniel, Belke-Brea, Maria
Published 2023
“... and surface models can be employed. However, in situ observational data are required to validate...”

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Report
Select result number 578
578

Geophysical evidence of the preparedness for a volcanic eruption: El Hierro 2011-2012

by López Moreno, Carmen
Published 2017
“...[eng] The observational data recorded by the monitoring networks during El Hierro 2011-2012...”

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Doctoral or Postdoctoral Thesis
Select result number 579
579

Computationally efficient parameter estimation for high-dimensional ocean biogeochemical models

by Kern S., McGuinn M. E., Smith K. M., Pinardi N., Niemeyer K. E., Lovenduski N. S., Hamlington P. E.
Published in Geoscientific Model Development (2024)
“... known parameters. We then use the method to simultaneously match multi-variable observational data...”

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Article in Journal/Newspaper
Select result number 580
580

Meteorological, snow and soil data, CO2, water and energy fluxes from a low-Arctic valley of Northern Quebec

by Domine, Florent, Sarrazin, Denis, Nadeau, Daniel F., Lackner, Georg, Belke-Brea, Maria
Published in Earth System Science Data (2024)
“... be employed. However, in situ observational data are required to validate these measurements and models...”

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Article in Journal/Newspaper