Multimodel ensembles improve predictions of crop-environment-management interactions

Multi-model uncertainty analysis in predicting grain N for crop rotations in Europe

(2017) Xiaogang Yin et al.   EUROPEAN JOURNAL OF AGRONOMY

Contribution of Crop Models to Adaptation in Wheat

(2017) Karine Chenu et al.   TRENDS IN PLANT SCIENCE

Causes of variation among rice models in yield response to CO2 examined with Free-Air CO2 Enrichment and growth chamber experiments

(2017) Toshihiro Hasegawa et al.   Scientific Reports

Lessons from climate modeling on the design and use of ensembles for crop modeling

(2016) Daniel Wallach et al.   CLIMATIC CHANGE

A potato model intercomparison across varying climates and productivity levels

(2016) David H. Fleisher et al.   GLOBAL CHANGE BIOLOGY

Similar estimates of temperature impacts on global wheat yield by three independent methods

(2016) Bing Liu et al.   Nature Climate Change

Crop modelling for integrated assessment of risk to food production from climate change

(2015) F. Ewert et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Response of wheat growth, grain yield and water use to elevated CO2under a Free-Air CO2Enrichment (FACE) experiment and modelling in a semi-arid environment

(2015) Garry J. O'Leary et al.   GLOBAL CHANGE BIOLOGY

Fitting Linear Mixed-Effects Models Usinglme4

(2015) Douglas Bates et al.   Journal of Statistical Software

Skill improvement from increased ensemble size and model diversity

(2014) Timothy DelSole et al.   GEOPHYSICAL RESEARCH LETTERS

Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditions

(2014) Tao Li et al.   GLOBAL CHANGE BIOLOGY

Multimodel ensembles of wheat growth: many models are better than one

(2014) Pierre Martre et al.   GLOBAL CHANGE BIOLOGY

How do various maize crop models vary in their responses to climate change factors?

(2014) Simona Bassu et al.   GLOBAL CHANGE BIOLOGY

Rising temperatures reduce global wheat production

(2014) S. Asseng et al.   Nature Climate Change

Effect of short heat shocks applied during grain development on wheat (Triticum aestivum L.) grain proteome

(2013) Thouraya Majoul-Haddad et al.   JOURNAL OF CEREAL SCIENCE

Scale-Selective Ridge Regression for Multimodel Forecasting

(2013) Timothy DelSole et al.   JOURNAL OF CLIMATE

Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison

(2013) Cynthia Rosenzweig et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Uncertainty in simulating wheat yields under climate change

(2013) S. Asseng et al.   Nature Climate Change

The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and pilot studies

(2012) C. Rosenzweig et al.   AGRICULTURAL AND FOREST METEOROLOGY

Simulation of spring barley yield in different climatic zones of Northern and Central Europe: A comparison of nine crop models

(2012) Reimund P. Rötter et al.   FIELD CROPS RESEARCH

Simulation of winter wheat yield and its variability in different climates of Europe: A comparison of eight crop growth models

(2011) Taru Palosuo et al.   EUROPEAN JOURNAL OF AGRONOMY

Crop–climate models need an overhaul

(2011) Reimund P. Rötter et al.   Nature Climate Change

Advance and prospectus of seasonal prediction: assessment of the APCC/CliPAS 14-model ensemble retrospective seasonal prediction (1980–2004)

(2008) Bin Wang et al.   CLIMATE DYNAMICS

Can multi-model combination really enhance the prediction skill of probabilistic ensemble forecasts?

(2008) A. P. Weigel et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY