Feedback temperature dependence determines the risk of high warming
Geophysical Research Letters Wiley 42:12 (2015) 4973-4980
Abstract:
The long-term warming from an anthropogenic increase in atmospheric CO2 is often assumed to be proportional to the forcing associated with that increase. This paper examines this linear approximation using a zero-dimensional energy balance model with a temperature-dependent feedback, with parameter values drawn from physical arguments and general circulation models. For a positive feedback temperature dependence, warming increases Earth's sensitivity, while greater sensitivity makes Earth warm more. These effects can feed on each other, greatly amplifying warming. As a result, for reasonable values of feedback temperature dependence and preindustrial feedback, Earth can jump to a warmer state under only one or two CO2 doublings. The linear approximation breaks down in the long tail of high climate sensitivity commonly seen in observational studies. Understanding feedback temperature dependence is therefore essential for inferring the risk of high warming from modern observations. Studies that assume linearity likely underestimate the risk of high warming.Climate Intervention: Reflecting Sunlight to Cool Earth
National Academies Press, 2015
Abstract:
Weather modification, which could also be called “weather intervention,” is the intentional alteration of the composition, behavior, or dynamics of the atmosphere occurring over a specified area and time period to accomplish a particular goal ...Climate Intervention Carbon Dioxide Removal and Reliable Sequestration
National Academies Press, 2015
Abstract:
Carbon Dioxide Removal and Reliable Sequestration Committee on Geoengineering Climate: Technical Evaluation and Discussion of Impacts, Board on Atmospheric Sciences and Climate, Ocean Studies Board, Division on Earth and Life ...Comparison of “warm and wet” and “cold and icy” scenarios for early Mars in a 3‐D climate model
Journal of Geophysical Research Planets American Geophysical Union (AGU) 120:6 (2015) 1201-1219
A simple carbon cycle representation for economic and policy analyses
Climatic Change Springer Nature 126:3-4 (2014) 319-335