نتایج جستجو برای: AgMIP

تعداد نتایج: 32  

Journal: :Environmental Modelling and Software 2014
Cheryl H. Porter Chris Villalobos Dean P. Holzworth Roger Nelson Jeffrey W. White Ioannis N. Athanasiadis Sander Janssen Dominique Ripoche Julien Cufi Dirk Raes Meng Zhang Rob Knapen Ritvik Sahajpal Kenneth J. Boote James W. Jones

The Agricultural Model Intercomparison and Improvement Project (AgMIP) seeks to improve the capability of ecophysiological and economic models to describe the potential impacts of climate change on agricultural systems. AgMIP protocols emphasize the use of multiple models; consequently, data harmonization is essential. This interoperability was achieved by establishing a data exchange mechanism...

2013
Martin von Lampe Tomoko Hasegawa Hugo Valin

Lampe, M. von, Willenbockel, D., Ahammad, H., Blanc, E., Cai, Y., Calvin, K., Fujimori, S., Hasegawa, T., Havlik, P., Heyhoe, E., Kyle, P., Lotze-Campen, H., Mason d'Croz, D., Nelson, G. C., Sands, R. D., Schmitz, C., Tabeau, A, Valin, H., Mensbrugghe, D. van der, Meijl, H. van (2014): Why do global long-term scenarios for agriculture differ? An overview of the AgMIP Global Economic Model Inter...

2013
Hans van Meijl Hugo Valin Shinichiro Fujimori Toshihiko Masui Petr Havlik

This paper compares the theoretical and functional specification of production in partial equilibrium (PE) and computable general equilibrium (CGE) models of the global agricultural and food system included in the AgMIP model comparison study. The two model families differ in their scope—partial versus economywide—and in how they represent technology and the behavior of supply and demand in mar...

Journal: :Open data journal for agricultural research 2023

The climate change impact and adaptation simulations from the Agricultural Model Intercomparison Improvement Project (AgMIP) for wheat provide a unique dataset of multi-model ensemble 60 representative global locations covering all mega environments. reported here has been thoroughly benchmarked against large number experimental data, including different locations, growing season temperatures, ...

2011
José Mauricio Fernandes Alexandre Lazzaretti Willinghton Pavan Rodrigo Tsukahara

There is a growing concern that climate changes will lead to significant impact to agriculture, thus having a global effect in food production. The application of crop models to study the potential impact of climate change and climate variability provides a direct link between models, science and the concerns of the society. The objective of this work is to demonstrate an information architectu...

2015
J. Elliott C. Müller D. Deryng J. Chryssanthacopoulos K. J. Boote M. Büchner I. Foster M. Glotter J. Heinke T. Iizumi R. C. Izaurralde N. D. Mueller D. K. Ray C. Rosenzweig A. C. Ruane J. Sheffield

We present protocols and input data for Phase 1 of the Global Gridded Crop Model Intercomparison, a project of the Agricultural Model Intercomparison and Improvement Project (AgMIP). The project includes global simulations of yields, phenologies, and many land-surface fluxes using 12– 15 modeling groups for many crops, climate forcing data sets, and scenarios over the historical period from 194...

2017
John M. Antle James W. Jones Cynthia E. Rosenzweig

Agricultural system models have become important tools to provide predictive and assessment capability to a growing array of decision-makers in the private and public sectors. Despite ongoing research and model improvements, many of the agricultural models today are direct descendants of research investments initially made 30-40 years ago, and many of the major advances in data, information and...

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