A multi-scale and multi-model gridded framework for forecasting crop production, risk analysis, and climate change impact studies

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cg.contributor.affiliationInternational Maize and Wheat Improvement Centeren
cg.contributor.affiliationColumbia Universityen
cg.contributor.affiliationUniversity of Floridaen
cg.contributor.affiliationUniversity of Nebraskaen
cg.contributor.crpClimate Change, Agriculture and Food Security
cg.creator.identifierVakhtang Shelia: 0000-0002-9768-7958
cg.creator.identifierJames Hansen: 0000-0002-8599-7895
cg.creator.identifierCheryl Porter: 0000-0001-7269-6543
cg.creator.identifierPramod Aggarwal: 0000-0002-1060-7602
cg.creator.identifierGerrit Hoogenboom: 0000-0002-1555-0537
cg.edition115en
cg.identifier.doihttps://doi.org/10.1016/j.envsoft.2019.02.006en
cg.isijournalISI Journalen
cg.issn1364-8152en
cg.journalEnvironmental Modelling and Softwareen
cg.subject.ccafsCLIMATE SERVICES AND SAFETY NETSen
cg.volume115en
dc.contributor.authorVakhtang, Sheliaen
dc.contributor.authorHansen, Jamesen
dc.contributor.authorSharda, Vaishalien
dc.contributor.authorPorter, Cherylen
dc.contributor.authorAggarwal, Pramod K.en
dc.contributor.authorWilkerson, Carol Jen
dc.contributor.authorHoogenboom, Gerriten
dc.date.accessioned2019-02-26T14:30:01Zen
dc.date.available2019-02-26T14:30:01Zen
dc.identifier.urihttps://hdl.handle.net/10568/99697
dc.titleA multi-scale and multi-model gridded framework for forecasting crop production, risk analysis, and climate change impact studiesen
dcterms.abstractRegional crop production forecasting is growing in importance in both, the public and private sectors to ensure food security, optimize agricultural management practices and use of resources, and anticipate market fluctuations. Thus, a model and data driven, easy-to-use forecasting and a risk assessment system can be an essential tool for end-users at different levels. This paper provides an overview of the approaches, algorithms, design, and capabilities of the CCAFS Regional Agricultural Forecasting Toolbox (CRAFT) for gridded crop modeling and yield forecasting along with risk analysis and climate impact studies. CRAFT is a flexible and adaptable software platform designed with a user-friendly interface to produce multiple simulation scenarios, maps, and interactive visualizations using a crop engine that can run the pre-installed crop models DSSAT, APSIM, and SARRA-H, in concert with the Climate Predictability Tool (CPT) for seasonal climate forecasts. Its integrated and modular design allows for easy adaptation of the system to different regional and scientific domains. CRAFT requires gridded input data to run the crop simulations on spatial scales of 5 and 30 arc-minutes. Case studies for South Asia for two crops, including wheat and rice, shows its potential application for risk assessment and in-season yield forecasting.en
dcterms.accessRightsOpen Access
dcterms.audienceScientistsen
dcterms.audienceAcademicsen
dcterms.audienceCGIARen
dcterms.bibliographicCitationVakhtang S, Hansen J, Sharda V, Porter C, Aggarwal P, Wilkerson CJ, Hoogenboom G. 2019. A multi-scale and multi-model gridded framework for forecasting crop production, risk analysis, and climate change impact studies. Environmental Modelling and Software 115: 144-154.en
dcterms.extent144-154en
dcterms.issued2019-05
dcterms.languageen
dcterms.licenseCC-BY-NC-ND-4.0
dcterms.publisherElsevieren
dcterms.subjectclimate changeen
dcterms.subjectagricultureen
dcterms.subjectfood securityen
dcterms.subjectenvironmental engineeringen
dcterms.subjectsoftwareen
dcterms.typeJournal Article

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