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Pierre Stratonovitch

Researcher at Rothamsted Research

Publications -  46
Citations -  6410

Pierre Stratonovitch is an academic researcher from Rothamsted Research. The author has contributed to research in topics: Climate change & Crop simulation model. The author has an hindex of 28, co-authored 45 publications receiving 4906 citations. Previous affiliations of Pierre Stratonovitch include Institut national de la recherche agronomique & Blaise Pascal University.

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Rising Temperatures Reduce Global Wheat Production

Senthold Asseng, +59 more
TL;DR: The authors systematically tested 30 different wheat crop models of the Agricultural Model Intercomparison and Improvement Project against field experiments in which growing season mean temperatures ranged from 15 degrees C to 32 degrees C, including experiments with artificial heating.
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Uncertainty in Simulating Wheat Yields Under Climate Change

Senthold Asseng, +53 more
TL;DR: In this article, the authors present the largest standardized model intercomparison for climate change impacts so far, finding that individual crop models are able to simulate measured wheat grain yields accurately under a range of environments, particularly if the input information is sufficient.
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Use of multi-model ensembles from global climate models for assessment of climate change impacts.

TL;DR: In this paper, a methodology of using multi-model ensembles from global climate models for impact assessments which require local-scale climate scenarios is described, based on the use of a weather generator capable of generating the localscale daily climate scenarios used as an input by many process-based impact models.
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Multimodel ensembles of wheat growth: many models are better than one

Pierre Martre, +52 more
TL;DR: It is concluded that multimodel ensembles can be used to create new estimators with improved accuracy and consistency in simulating growth dynamics, and argued that these results are applicable to other crop species, and hypothesize that they apply more generally to ecological system models.
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Similar estimates of temperature impacts on global wheat yield by three independent methods

Bing Liu, +72 more
TL;DR: This paper showed that grid-based and point-based simulations and statistical regressions, without deliberate adaptation or CO 2 fertilization effects, produce similar estimates of temperature impact on wheat yields at global and national scales.