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  Rapid aggregation of global gridded crop model outputs to facilitate cross-disciplinary analysis of climate change impacts in agriculture

Villoria, N. B., Elliott, J., Müller, C., Shin, J., Zhao, L., Song, C. (2016): Rapid aggregation of global gridded crop model outputs to facilitate cross-disciplinary analysis of climate change impacts in agriculture. - Environmental Modelling and Software, 75, 193-201.
https://doi.org/10.1016/j.envsoft.2015.10.016

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 Urheber:
Villoria, N. B.1, Autor
Elliott, J.1, Autor
Müller, Christoph2, Autor              
Shin, J.1, Autor
Zhao, L.1, Autor
Song, C.1, Autor
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Zusammenfassung: We discuss an on-line tool that facilitates access to the large collection of climate impacts on crop yields produced by the Agricultural Model Intercomparison and Improvement Project. This collection comprises the output of seven crop models which were run on a global grid using climate data from five different general circulation models under the current set of representative pathways. The output of this modeling endeavor consists of more than 36,000 publicly available global grids at a spatial resolution of one half degree. We offer flexible ways to aggregate these data while reducing the technical barriers implied by learning new download platforms and specialized formats. The tool is accessed trough any standard web browser without any special bandwidth requirement.

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 Datum: 2016
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1016/j.envsoft.2015.10.016
PIKDOMAIN: Climate Impacts & Vulnerabilities - Research Domain II
eDoc: 6952
Research topic keyword: Food & Agriculture
Research topic keyword: Climate impacts
Organisational keyword: RD2 - Climate Resilience
Working Group: Land Use and Resilience
 Art des Abschluß: -

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Titel: Environmental Modelling and Software
Genre der Quelle: Zeitschrift, SCI, Scopus, p3
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 75 Artikelnummer: - Start- / Endseite: 193 - 201 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals127