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Mikhail A. Semenov

Researcher at Rothamsted Research

Publications -  202
Citations -  16909

Mikhail A. Semenov 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 58, co-authored 187 publications receiving 14097 citations. Previous affiliations of Mikhail A. Semenov include Biotechnology and Biological Sciences Research Council & University of Hertfordshire.

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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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Crop responses to climatic variation

TL;DR: The impacts of climate variability for crop production in a number of crops are demonstrated and it is argued that characters that enable better exploration of the soil and slower leaf canopy expansion could lead to crop higher transpiration efficiency.
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Use of a stochastic weather generator in the development of climate change scenarios

TL;DR: In this article, the authors used a local stochastic weather generator to simulate site-specific daily weather data and used regression downscaling to translate the coarse resolution GCM grid-box predictions of climate change to site specific values.
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Comparison of the WGEN and LARS-WG stochastic weather generators for diverse climates

TL;DR: In this paper, the authors compare WGEN and LARS-WG, two commonly-used weather generators, at 18 sites in the USA, Europe and Asia, chosen to represent a range of climates.