scispace - formally typeset
M

Mohamed Jabloun

Researcher at University of Nottingham

Publications -  32
Citations -  2980

Mohamed Jabloun is an academic researcher from University of Nottingham. The author has contributed to research in topics: Climate change & Calibration (statistics). The author has an hindex of 13, co-authored 30 publications receiving 1981 citations. Previous affiliations of Mohamed Jabloun include University of Maryland, College Park & Wageningen University and Research Centre.

Papers
More filters
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

Climate change impact and adaptation for wheat protein

Senthold Asseng, +75 more
TL;DR: A 32-multi-model ensemble is tested and applied to simulate global wheat yield and quality in a changing climate to potential benefits of elevated atmospheric CO2 concentration by 2050, likely to be negated by impacts from rising temperature and changes in rainfall, but with considerable disparities between regions.
Journal ArticleDOI

The uncertainty of crop yield projections is reduced by improved temperature response functions.

Enli Wang, +65 more
- 17 Jul 2017 - 
TL;DR: A set of new temperature response functions are derived that when substituted in four wheat models reduced the error in grain yield simulations across seven global sites with different temperature regimes, leading to higher skill of crop yield projections.