scholarly journals Turn down the heat: regional climate change impacts on development

2017 ◽  
Vol 17 (6) ◽  
pp. 1563-1568 ◽  
Author(s):  
Christopher P. O. Reyer ◽  
Kanta Kumari Rigaud ◽  
Erick Fernandes ◽  
William Hare ◽  
Olivia Serdeczny ◽  
...  
2012 ◽  
Vol 13 (4) ◽  
pp. 797-811 ◽  
Author(s):  
Gabor Mezösi ◽  
Burghard C. Meyer ◽  
Wolfgang Loibl ◽  
Christoph Aubrecht ◽  
Peter Csorba ◽  
...  

2005 ◽  
Vol 360 (1463) ◽  
pp. 2149-2154 ◽  
Author(s):  
Lin Erda ◽  
Xiong Wei ◽  
Ju Hui ◽  
Xu Yinlong ◽  
Li Yue ◽  
...  

A regional climate change model (PRECIS) for China, developed by the UK's Hadley Centre, was used to simulate China's climate and to develop climate change scenarios for the country. Results from this project suggest that, depending on the level of future emissions, the average annual temperature increase in China by the end of the twenty-first century may be between 3 and 4 °C. Regional crop models were driven by PRECIS output to predict changes in yields of key Chinese food crops: rice, maize and wheat. Modelling suggests that climate change without carbon dioxide (CO 2 ) fertilization could reduce the rice, maize and wheat yields by up to 37% in the next 20–80 years. Interactions of CO 2 with limiting factors, especially water and nitrogen, are increasingly well understood and capable of strongly modulating observed growth responses in crops. More complete reporting of free-air carbon enrichment experiments than was possible in the Intergovernmental Panel on Climate Change's Third Assessment Report confirms that CO 2 enrichment under field conditions consistently increases biomass and yields in the range of 5–15%, with CO 2 concentration elevated to 550 ppm Levels of CO 2 that are elevated to more than 450 ppm will probably cause some deleterious effects in grain quality. It seems likely that the extent of the CO 2 fertilization effect will depend upon other factors such as optimum breeding, irrigation and nutrient applications.


1991 ◽  
Vol 36 (3) ◽  
pp. 259-270 ◽  
Author(s):  
M. A. MIMIKOU ◽  
P. S. HADJISAVVA ◽  
Y. S. KOUVOPOULOS ◽  
H. AFRATEOS

2012 ◽  
Vol 12 (3) ◽  
pp. 7705-7726 ◽  
Author(s):  
J. Langner ◽  
M. Engardt ◽  
C. Andersson

Abstract. The impact of climate change and changes in ozone precursor emissions on summer surface ozone in Europe were studied using a regional CTM over the period 1990 to 2100. Two different climate simulations under the SRES A1B scenario together with ozone precursor emission changes from the RCP4.5 scenario were used as model input. In southern Europe regional climate change leads to increasing surface ozone concentrations during April–September, but projected emission reductions in Europe have a stronger effect, resulting in net reductions of surface ozone concentrations. In northern Europe regional climate change decreases surface O3 and reduced emissions acts to further strengthen this trend also when including increasing hemispheric background concentrations, although on the British Isles the combined effect is an increase. Due to substantial decadal variability in the simulations it is important to study averages over sufficiently long time periods in order to be able to extract robust signals of climate change impacts on surface O3 concentrations.


2021 ◽  
Author(s):  
Mohammad Reza Khazaei ◽  
Mehraveh Hasirchian ◽  
Bagher Zahabiyoun

Abstract Weather Generators (WGs) are one of the major downscaling tools for assessing regional climate change impacts. However, some deficiencies in the performance of WGs have limited their usage. This paper presents a method for correcting the low-frequency variability (LFV) of precipitation in the Improved Weather Generator (IWG) model. The method is based on bias correction in the monthly precipitation distribution of the generated daily series. The performance of the modified model was tested directly by comparing the statistics of generated and observed weather data for 14 stations, and also indirectly by comparing the characteristics of simulated stream-flows of a basin from the simulations run based on generated and observed weather data. The results showed that the method not only corrected the LFV of precipitation but also improved the reproduction of many other statistics. The provided IWG2 model can serve as a useful tool for the downscaling of General Circulation Models (GCMs) scenarios to assess regional climate change impacts, especially hydrological effects.


2012 ◽  
Vol 151 (6) ◽  
pp. 787-812 ◽  
Author(s):  
J. EITZINGER ◽  
M. TRNKA ◽  
D. SEMERÁDOVÁ ◽  
S. THALER ◽  
E. SVOBODOVÁ ◽  
...  

SUMMARYThe present study investigates regional climate change impacts on agricultural crop production in Central and Eastern Europe, including local case studies with different focuses in Austria, the Czech Republic and Slovakia. The area studied experiences a continental European climate and is characterized by strong climatic gradients, which may foster regional differences or trends in the impacts of climate change on agriculture. To study the regional aspects and variabilities of climate change impacts on agriculture, the effect of climate change on selected future agroclimatic conditions, crop yield and variability (including the effect of higher ambient CO2 concentrations) and the most important yield limiting factors, such as water availability, nitrogen balance and the infestation risks posed by selected pests were studied. In general, the results predicted significant agroclimatic changes over the entire area during the 21st century, affecting agricultural crop production through various pathways. Simulated crop yield trends confirmed past regional studies but also revealed that yield-limiting factors may change from region to region. For example, pest pressures, as demonstrated by examining two pests, are likely to increase due to warmer conditions. In general, higher potentials for cereal yield increase are seen for wetter and cooler regions (i.e. uplands) than for the drier and warmer lowlands, where yield potentials will be increasingly limited by decreasing crop water availability and heat under most scenarios. In addition, yield variability will increase during the coming decades, but this may decrease towards the end of the 21st century. The present study contributes to the interpretation of previously conducted climate change impact and adaptation studies for agriculture and may prove useful in proposing future research in this field.


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