scholarly journals Nico Stehr and Hans von Storch, Climate and Society: Climate as Resource, Climate as Risk

2010 ◽  
Vol 34 (4) ◽  
pp. 1118-1121
Author(s):  
Raymond Murphy
Keyword(s):  
Endeavour ◽  
1980 ◽  
Vol 4 (1) ◽  
pp. 40
Author(s):  
J.F. Houghton

Author(s):  
Kanayathu Koshy ◽  
Linda Anne Stevenson ◽  
Jariya Boonjawat ◽  
John R. Campbell ◽  
Kristie L. Ebi ◽  
...  
Keyword(s):  

2020 ◽  
Vol 6 (49) ◽  
pp. eabc2162
Author(s):  
Yan Bai ◽  
Elena N. Naumova ◽  
William A. Masters

Seasonal fluctuations in food prices reflect interactions between climate and society, measuring the degree to which predictable patterns of crop growth and harvest are offset by storage and trade. Previous research on seasonality in food systems has focused on specific commodities. This study accounts for substitution between items to meet nutritional needs, computing seasonal variation in local food environments using monthly retail prices for 191 items across Ethiopia, Malawi, and Tanzania from 2002 through 2016. We computed over 25,000 least-cost diets meeting nutrient requirements at each market every month and then measured the magnitude and timing of seasonality in diet costs. We found significant intensity in Malawi, Tanzania, and Ethiopia (10.0, 6.3, and 4.0%, respectively), driven primarily by synchronized price rises for nutrient-dense foods. Results provide a metric to map nutritional security, pointing to opportunities for more targeted investments to improve the year-round delivery of nutrients.


2011 ◽  
Vol 26 (4) ◽  
pp. 545-554 ◽  
Author(s):  
Anthony G. Barnston ◽  
Simon J. Mason

Abstract This paper evaluates the quality of real-time seasonal probabilistic forecasts of the extreme 15% tails of the climatological distribution of temperature and precipitation issued by the International Research Institute for Climate and Society (IRI) from 1998 through 2009. IRI’s forecasts have been based largely on a two-tiered multimodel dynamical prediction system. Forecasts of the 15% extremes have been consistent with the corresponding probabilistic forecasts for the standard tercile-based categories; however, nonclimatological forecasts for the extremes have been issued sparingly. Results indicate positive skill in terms of resolution and discrimination for the extremes forecasts, particularly in the tropics. Additionally, with the exception of some overconfidence for extreme above-normal precipitation and a strong cool bias for temperature, reliability analyses suggest generally good calibration. Skills for temperature are generally higher than those for precipitation, due both to correct forecasts of increased probabilities of extremely high (above the upper 15th percentile) temperatures associated with warming trends, and to better discrimination of interannual variability. However, above-normal temperature extremes were substantially underforecast, as noted also for the IRI’s tercile forecasts.


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