scholarly journals Effects of Recent Climate Change on Hourly Weather Data for HVAC Design: A Case Study of Osaka

2018 ◽  
Vol 10 (3) ◽  
pp. 861 ◽  
Author(s):  
Jihui Yuan ◽  
Kazuo Emura ◽  
Craig Farnham
Keyword(s):  
Climate Change ◽  
Weather Data ◽  
Recent Climate Change ◽  
Recent Climate

Forty years of weather data to understand recent climate change in the arctic (Svalbard, 79°N)

2009 ◽  
Vol 6 (1) ◽  
pp. 012009 ◽  
Author(s):  
Madeleine Griselin ◽  
C Marlin ◽  
D Laffly ◽  
E Bernard ◽  
E Delangle
Keyword(s):  
Climate Change ◽  
The Arctic ◽  
Weather Data ◽  
Recent Climate Change ◽  
Recent Climate

Evaluation of simulated recent climate change in Australia

2015 ◽  
Vol 65 (1) ◽  
pp. 4-18 ◽  
Author(s):  
Jonas Bhend ◽  
Penny Whetton
Keyword(s):  
Climate Change ◽  
Recent Climate Change ◽  
Recent Climate

DEATH ASSEMBLAGES AS RECORDERS OF RECENT CLIMATE CHANGE ON THE CONTINENTAL SHELF

2017 ◽  
Author(s):  
Eric N. Powell ◽  
◽  
Kelsey Kuykendall ◽  
Paula Moreno ◽  
Sara Pace
Keyword(s):  
Climate Change ◽  
Continental Shelf ◽  
Recent Climate Change ◽  
Recent Climate ◽  
Death Assemblages

Short Communication: Climate change and biofuel wheat: A case study of southern Saskatchewan

2012 ◽  
Vol 92 (3) ◽  
pp. 421-425 ◽  
Author(s):  
Hong Wang ◽  
Yong He ◽  
Budong Qian ◽  
Brian McConkey ◽  
Herb Cutforth ◽  
...  
Keyword(s):  
Climate Change ◽  
Grain Yield ◽  
Short Communication ◽  
Weather Data ◽  
Yield Reduction ◽  
Climate Change Scenarios ◽  
Communication Climate ◽  
Stochastic Weather Generator ◽  
Ipcc Sres

Wang, H., He, Y., Qian, B., McConkey, B., Cutforth, H., McCaig, T., McLeod, G., Zentner, R., DePauw, R., Lemke, R., Brandt, K., Liu, T., Qin, X., White, J., Hunt, T. and Hoogenboom, G. 2012. Short Communication: Climate change and biofuel wheat: A case study of southern Saskatchewan. Can. J. Plant Sci. 92: 421–425. This study assessed potential impacts of climate change on wheat production as a biofuel crop in southern Saskatchewan, Canada. The Decision Support System for Agrotechnology Transfer-Cropping System Model (DSSAT-CSM) was used to simulate biomass and grain yield under three climate change scenarios (CGCM3 with the forcing scenarios of IPCC SRES A1B, A2 and B1) in the 2050s. Synthetic 300-yr weather data were generated by the AAFC stochastic weather generator for the baseline period (1961–1990) and each scenario. Compared with the baseline, precipitation is projected to increase in every month under all three scenarios except in July and August and in June for A2, when it is projected to decrease. Annual mean air temperature is projected to increase by 3.2, 3.6 and 2.7°C for A1B, A2 and B1, respectively. The model predicted increases in biomass by 28, 12 and 16% without the direct effect of CO2 and 74, 55 and 41% with combined effects (climate and CO2) for A1B, A2 and B1, respectively. Similar increases were found for grain yield. However, the occurrence of heat shock (>32°C) will increase during grain filling under the projected climate conditions and could cause severe yield reduction, which was not simulated by DSSAT-CSM. This implies that the future yield under climate scenarios might have been overestimated by DSSAT-CSM; therefore, model modification is required. Several measures, such as early seeding, must be taken to avoid heat damages and take the advantage of projected increases in temperature and precipitation in the early season.

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