Author Correction: Recent increases in tropical cyclone intensification rates.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Author Correction: Recent increases in tropical cyclone intensification rates.

The original version of this Article contained an error in the second sentence of the first paragraph of the 'Quantile mapping' section of the Methods, which incorrectly read 'We primarily focus on results produced using an additive version of QDM by making use of R programming language code contained in the CRAN MBC package version 0.10-438.' The correct version states 'QDM' in place of 'QDM'.

Recent increases in tropical cyclone intensification rates.

Tropical cyclones that rapidly intensify are typically associated with the highest forecast errors and cause a disproportionate amount of human and financial losses. Therefore, it is crucial to understand if, and why, there are observed upward trends in tropical cyclone intensification rates. Here, we utilize two observational datasets to calculate 24-hour wind speed changes over the period 1982-2009.

Comment on "Multiyear prediction of monthly mean Atlantic Meridional Overturning Circulation at 26.5°N".

Matei et al. (Reports, 6 January 2012, p. 76) claim to show skillful multiyear predictions of the Atlantic Meridional Overturning Circulation (AMOC).

Detection of a human influence on North American climate.

Several indices of large-scale patterns of surface temperature variation were used to investigate climate change in North America over the 20th century. The observed variability of these indices was simulated well by a number of climate models. Comparison of index trends in observations and model simulations shows that North American temperature changes from 1950 to 1999 were unlikely to be due to natural climate variation alone.