AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: EPIC-TAMU maize Article Swipe

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Ashwan Reddy , Curtis D. Jones , R. C. Izaurralde ·

YOU? · · 2018 · Open Access · · DOI: https://doi.org/10.5281/zenodo.1409013

This is model output from EPIC-TAMU for maize as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set.\n\n\nThe data have been generated following the modeling protocol of Elliott et al. (2015) and has been used to evaluate the models (Müller et al., 2017). A data description paper has been published in Scientific Data (Müller et al. 2019).\n\n\nReferences:\n\n\nElliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J. 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015\n\n\nMüller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde RC, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Ray DK, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Song CX, Wang X, de Wit A, and Yang H. 2017, Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, Geosci. Model Dev., 10, 1403-1422, doi: 10.5194/gmd-10-1403-2017\n\n\nMüller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Hoek S, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Wang X, de Wit A, and Yang H. 2019, The Global Gridded Crop Model Intercomparison phase 1 simulation dataset, Scientific Data, 6, 50, doi: 10.1038/s41597-019-0023-8

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Environmental Science

General Circulation Model

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EPIC Environmental science Crop Data set Crop management Coupled model intercomparison project Meteorology Mathematics Geography Forestry General Circulation Model Biology Statistics Climate change Ecology Literature Art

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Type: dataset
Language: en
Landing Page: https://doi.org/10.5281/zenodo.1409013
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Cited By: 3
Related Works: 10
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DOI: https://doi.org/10.5281/zenodo.1409013

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Title: AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: EPIC-TAMU maize

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Language: en

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Publication year: 2018

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Publication date: 2018-09-06

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Authors: Ashwan Reddy, Curtis D. Jones, R. C. Izaurralde

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Concepts: EPIC, Environmental science, Crop, Data set, Crop management, Coupled model intercomparison project, Meteorology, Mathematics, Geography, Forestry, General Circulation Model, Biology, Statistics, Climate change, Ecology, Literature, Art

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abstract_inverted_index.protocol	30
abstract_inverted_index.EPIC-TAMU	5
abstract_inverted_index.Sheffield	92
abstract_inverted_index.following	27
abstract_inverted_index.generated	26
abstract_inverted_index.protocols	104
abstract_inverted_index.published	54
abstract_inverted_index.1403-1422,	188
abstract_inverted_index.Izaurralde	81, 135, 208
abstract_inverted_index.Rosenzweig	87, 153, 224
abstract_inverted_index.Scientific	56, 253
abstract_inverted_index.simulation	251
abstract_inverted_index.description	50
abstract_inverted_index.evaluation:	178
abstract_inverted_index.deficiencies	181
abstract_inverted_index.benchmarking,	179
abstract_inverted_index.implications,	183
abstract_inverted_index.set.\n\n\nThe	22
abstract_inverted_index.AgMIP&#39;s	11
abstract_inverted_index.Intercomparison	16, 248
abstract_inverted_index.M&uuml;ller	63
abstract_inverted_index.(M&uuml;ller	44, 58
abstract_inverted_index.B&uuml;chner	71
abstract_inverted_index.Dev.&nbsp;8,	111
abstract_inverted_index.intercomparison:	100
abstract_inverted_index.Chryssanthacopoulos	67, 117
abstract_inverted_index.10.1038/s41597-019-0023-8	258
abstract_inverted_index.2019).\n\n\nReferences:\n\n\nElliott	61
abstract_inverted_index.10.5194/gmd-10-1403-2017\n\n\nM&uuml;ller	190
abstract_inverted_index.doi:10.5194/gmd-8-261-2015\n\n\nM&uuml;ller	113
cited_by_percentile_year
countries_distinct_count	1
institutions_distinct_count	3
citation_normalized_percentile