Near-term climate change: Projections and predictability

TL;DR: In this article, the authors demonstrate and quantify how this approach can cut off the tails of the distributions of projected climate variables such as sea-level rise, which may lead to overconfident projections and poor decisions when high reliabilities are important.

TL;DR: Pryor et al. as mentioned in this paper found that repeated heavy rain events cause increased exposure to toxic chemicals and raw sewage that are mobilized and spread by flood waters. But, the effects of extreme weather events are not discussed.

TL;DR: In this article, the authors present new predictive tools that will detail weather conditions down to neighborhood and street level, and provide early warnings a month ahead, and forecasts from rainfall to energy consumption.

TL;DR: The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance the authors' knowledge of climate variability and climate change.

TL;DR: The second edition of "Statistical Methods in the Atmospheric Sciences, Second Edition" as mentioned in this paper presents and explains techniques used in atmospheric data summarization, analysis, testing, and forecasting.

TL;DR: In this paper, the authors provided an assessment of black-carbon climate forcing that is comprehensive in its inclusion of all known and relevant processes and that is quantitative in providing best estimates and uncertainties of the main forcing terms: direct solar absorption; influence on liquid, mixed phase, and ice clouds; and deposition on snow and ice.

TL;DR: The NCEP Climate Forecast System Reanalysis (CFSR) was completed for the 31-yr period from 1979 to 2009, in January 2010 as mentioned in this paper, which was designed and executed as a global, high-resolution coupled atmosphere-ocean-land surface-sea ice system to provide the best estimate of the state of these coupled domains over this period.