Atmospheric composition, irreversible climate change, and mitigation policy.

Chapter in Climate Science for Serving Society Research, Modeling and Prediction Priorities, Springer Science & Business Media (2013) 15

Authors:

S Solomon, RT Pierrehumbert, HD matthews, JS Daniel, P Friedlingstein

Abstract:

This volume offers a comprehensive survey and a close analysis of efforts to develop actionable climate information in support of vital decisions for climate adaptation, risk management and policy.

Two Giant Planets Orbiting the K Giant Star η Cet

Proceedings of the International Astronomical Union Cambridge University Press (CUP) 8:S299 (2013) 309-310

Authors:

T Trifonov, S Reffert, X Tan, MH Lee, A Quirrenbach

Plumbing the depths of Uranus and Neptune

Nature Springer Nature 497:7449 (2013) 323-324

The Warming Papers The Scientific Foundation for the Climate Change Forecast

John Wiley & Sons, 2013

Authors:

David Archer, Raymond Pierrehumbert

Abstract:

Global warming is arguably the defining scientific issue of modern times, but it is not widely appreciated that the ... together the classic scientific papers that are the scientific foundation for the forecast of global warming and its consequences.

Simulating the interannual variability of major dust storms on Mars using variable lifting thresholds

Icarus 223:1 (2013) 344-358

Authors:

DP Mulholland, PL Read, SR Lewis

Abstract:

The redistribution of a finite amount of martian surface dust during global dust storms and in the intervening periods has been modelled in a dust lifting version of the UK Mars General Circulation Model. When using a constant, uniform threshold in the model's wind stress lifting parameterisation and assuming an unlimited supply of surface dust, multiannual simulations displayed some variability in dust lifting activity from year to year, arising from internal variability manifested in surface wind stress, but dust storms were limited in size and formed within a relatively short seasonal window. Lifting thresholds were then allowed to vary at each model gridpoint, dependent on the rates of emission or deposition of dust. This enhanced interannual variability in dust storm magnitude and timing, such that model storms covered most of the observed ranges in size and initiation date within a single multiannual simulation. Peak storm magnitude in a given year was primarily determined by the availability of surface dust at a number of key sites in the southern hemisphere. The observed global dust storm (GDS) frequency of roughly one in every 3. years was approximately reproduced, but the model failed to generate these GDSs spontaneously in the southern hemisphere, where they have typically been observed to initiate. After several years of simulation, the surface threshold field-a proxy for net change in surface dust density-showed good qualitative agreement with the observed pattern of martian surface dust cover. The model produced a net northward cross-equatorial dust mass flux, which necessitated the addition of an artificial threshold decrease rate in order to allow the continued generation of dust storms over the course of a multiannual simulation. At standard model resolution, for the southward mass flux due to cross-equatorial flushing storms to offset the northward flux due to GDSs on a timescale of ∼3. years would require an increase in the former by a factor of 3-4. Results at higher model resolution and uncertainties in dust vertical profiles mean that quasi-periodic redistribution of dust on such a timescale nevertheless appears to be a plausible explanation for the observed GDS frequency. © 2012 Elsevier Inc.