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Dive into the research topics where Malcolm J. Roberts is active.

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Featured researches published by Malcolm J. Roberts.


Journal of Climate | 2006

The New Hadley Centre Climate Model (HadGEM1): Evaluation of Coupled Simulations

T. C. Johns; C. F. Durman; Helene T. Banks; Malcolm J. Roberts; A. J. McLaren; Jeff Ridley; C. A. Senior; Keith D. Williams; Andy Jones; Graham J. Rickard; S. Cusack; William Ingram; M. Crucifix; David M. H. Sexton; Manoj Joshi; Buwen Dong; Hilary Spencer; R. S. R. Hill; Jonathan M. Gregory; A. B. Keen; Anne Pardaens; Jason Lowe; Alejandro Bodas-Salcedo; S. Stark; Y. Searl

Abstract A new coupled general circulation climate model developed at the Met Offices Hadley Centre is presented, and aspects of its performance in climate simulations run for the Intergovernmental Panel on Climate Change Fourth Assessment Report (IPCC AR4) documented with reference to previous models. The Hadley Centre Global Environmental Model version 1 (HadGEM1) is built around a new atmospheric dynamical core; uses higher resolution than the previous Hadley Centre model, HadCM3; and contains several improvements in its formulation including interactive atmospheric aerosols (sulphate, black carbon, biomass burning, and sea salt) plus their direct and indirect effects. The ocean component also has higher resolution and incorporates a sea ice component more advanced than HadCM3 in terms of both dynamics and thermodynamics. HadGEM1 thus permits experiments including some interactive processes not feasible with HadCM3. The simulation of present-day mean climate in HadGEM1 is significantly better overall ...


Geoscientific Model Development Discussions | 2011

The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations

D. N. Walters; M. J. Best; A. C. Bushell; D. Copsey; John M. Edwards; Pete Falloon; Chris Harris; A. P. Lock; James Manners; Cyril J. Morcrette; Malcolm J. Roberts; R. A. Stratton; S. Webster; J. M. Wilkinson; M. R. Willett; I. A. Boutle; P. D. Earnshaw; Peter G. Hill; C. MacLachlan; G. M. Martin; W. Moufouma-Okia; M. D. Palmer; Jon Petch; G. G. Rooney; Adam A. Scaife; Keith D. Williams

We describe Global Atmosphere 6.0 and Global Land 6.0 (GA6.0/GL6.0): the latest science configurations of the Met Office Unified Model and JULES (Joint UK Land Environment Simulator) land surface model developed for use across all timescales. Global Atmosphere 6.0 includes the ENDGame (Even Newer Dynamics for General atmospheric modelling of the environment) dynamical core, which significantly increases mid-latitude variability improving a known model bias. Alongside developments of the model’s physical parametrisations, ENDGame also increases variability in the tropics, which leads to an improved representation of tropical cyclones and other tropical phenomena. Further developments of the atmospheric and land surface parametrisations improve other aspects of model performance, including the forecasting of surface weather phenomena. We also describe GA6.1/GL6.1, which includes a small number of long-standing differences from our main trunk configurations that we continue to require for operational global weather prediction. Since July 2014, GA6.1/GL6.1 has been used by the Met Office for operational global numerical weather prediction, whilst GA6.0/GL6.0 was implemented in its remaining global prediction systems over the following year. Copyright statement. The works published in this journal are distributed under the Creative Commons Attribution 3.0 License. This license does not affect the Crown copyright work, which is re-usable under the Open Government Licence (OGL). The Creative Commons Attribution 3.0 License and the OGL are interoperable and do not conflict with, reduce or limit each other.


Journal of Climate | 2012

Realism of Rainfall in a Very High-Resolution Regional Climate Model

Elizabeth J. Kendon; Nigel M. Roberts; C. A. Senior; Malcolm J. Roberts

AbstractThe realistic representation of rainfall on the local scale in climate models remains a key challenge. Realism encompasses the full spatial and temporal structure of rainfall, and is a key indicator of model skill in representing the underlying processes. In particular, if rainfall is more realistic in a climate model, there is greater confidence in its projections of future change.In this study, the realism of rainfall in a very high-resolution (1.5 km) regional climate model (RCM) is compared to a coarser-resolution 12-km RCM. This is the first time a convection-permitting model has been run for an extended period (1989–2008) over a region of the United Kingdom, allowing the characteristics of rainfall to be evaluated in a climatological sense. In particular, the duration and spatial extent of hourly rainfall across the southern United Kingdom is examined, with a key focus on heavy rainfall.Rainfall in the 1.5-km RCM is found to be much more realistic than in the 12-km RCM. In the 12-km RCM, hea...


Journal of Climate | 2009

U.K. HiGEM: The New U.K. High-Resolution Global Environment Model—Model Description and Basic Evaluation

Leonard Christopher Shaffrey; I. Stevens; Warwick Norton; Malcolm J. Roberts; Pier Luigi Vidale; J. Harle; A. Jrrar; David P. Stevens; Margaret J. Woodage; Marie-Estelle Demory; John Donners; D. B. Clark; A. Clayton; Jeffrey William Cole; Simon Wilson; W. M. Connolley; T. M. Davies; Alan Iwi; T. C. Johns; J. C. King; Adrian L. New; Julia Slingo; A. Slingo; Lois Steenman-Clark; Gill Martin

Abstract This article describes the development and evaluation of the U.K.’s new High-Resolution Global Environmental Model (HiGEM), which is based on the latest climate configuration of the Met Office Unified Model, known as the Hadley Centre Global Environmental Model, version 1 (HadGEM1). In HiGEM, the horizontal resolution has been increased to 0.83° latitude × 1.25° longitude for the atmosphere, and 1/3° × 1/3° globally for the ocean. Multidecadal integrations of HiGEM, and the lower-resolution HadGEM, are used to explore the impact of resolution on the fidelity of climate simulations. Generally, SST errors are reduced in HiGEM. Cold SST errors associated with the path of the North Atlantic drift improve, and warm SST errors are reduced in upwelling stratocumulus regions where the simulation of low-level cloud is better at higher resolution. The ocean model in HiGEM allows ocean eddies to be partially resolved, which dramatically improves the representation of sea surface height variability. In the S...


Journal of Climate | 2004

Representing El Niño in Coupled Ocean–Atmosphere GCMs: The Dominant Role of the Atmospheric Component

Eric Guilyardi; Silvio Gualdi; Julia Slingo; Antonio Navarra; Pascale Delecluse; Jeffrey William Cole; Gurvan Madec; Malcolm J. Roberts; Mojib Latif; Laurent Terray

A systematic modular approach to investigate the respective roles of the ocean and atmosphere in setting El Nino characteristics in coupled general circulation models is presented. Several state-of-the-art coupled models sharing either the same atmosphere or the same ocean are compared. Major results include 1) the dominant role of the atmosphere model in setting El Nino characteristics (periodicity and base amplitude) and errors (regularity) and 2) the considerable improvement of simulated El Nino power spectra—toward lower frequency—when the atmosphere resolution is significantly increased. Likely reasons for such behavior are briefly discussed. It is argued that this new modular strategy represents a generic approach to identifying the source of both coupled mechanisms and model error and will provide a methodology for guiding model improvement.


Journal of Climate | 2013

Investigating Global Tropical Cyclone Activity with a Hierarchy of AGCMs: The Role of Model Resolution

Jane Strachan; Pier Luigi Vidale; Kevin I. Hodges; Malcolm J. Roberts; Marie-Estelle Demory

AbstractThe ability to run general circulation models (GCMs) at ever-higher horizontal resolutions has meant that tropical cyclone simulations are increasingly credible. A hierarchy of atmosphere-only GCMs, based on the Hadley Centre Global Environmental Model version 1 (HadGEM1) with horizontal resolution increasing from approximately 270 to 60 km at 50°N, is used to systematically investigate the impact of spatial resolution on the simulation of global tropical cyclone activity, independent of model formulation. Tropical cyclones are extracted from ensemble simulations and reanalyses of comparable resolutions using a feature-tracking algorithm. Resolution is critical for simulating storm intensity and convergence to observed storm intensities is not achieved with the model hierarchy. Resolution is less critical for simulating the annual number of tropical cyclones and their geographical distribution, which are well captured at resolutions of 135 km or higher, particularly for Northern Hemisphere basins....


Geophysical Research Letters | 2014

Changes in global net radiative imbalance 1985–2012

Richard P. Allan; Chunlei Liu; Norman Loeb; Matthew D. Palmer; Malcolm J. Roberts; Doug Smith; Pier Luigi Vidale

Combining satellite data, atmospheric reanalyses, and climate model simulations, variability in the net downward radiative flux imbalance at the top of Earths atmosphere (N) is reconstructed and linked to recent climate change. Over the 1985–1999 period mean N (0.34 ± 0.67 Wm−2) is lower than for the 2000–2012 period (0.62 ± 0.43 Wm−2, uncertainties at 90% confidence level) despite the slower rate of surface temperature rise since 2000. While the precise magnitude of N remains uncertain, the reconstruction captures interannual variability which is dominated by the eruption of Mount Pinatubo in 1991 and the El Niño Southern Oscillation. Monthly deseasonalized interannual variability in N generated by an ensemble of nine climate model simulations using prescribed sea surface temperature and radiative forcings and from the satellite-based reconstruction is significantly correlated (r∼0.6) over the 1985–2012 period.


Bulletin of the American Meteorological Society | 2015

Hurricanes and Climate: The U.S. CLIVAR Working Group on Hurricanes

Kevin Walsh; Suzana J. Camargo; Gabriel A. Vecchi; Anne Sophie Daloz; James B. Elsner; Kerry A. Emanuel; Michael Horn; Young-Kwon Lim; Malcolm J. Roberts; Christina M. Patricola; Enrico Scoccimarro; Adam H. Sobel; Sarah Strazzo; Gabriele Villarini; Michael Wehner; Ming Zhao; James P. Kossin; Tim LaRow; Kazuyoshi Oouchi; Siegfried D. Schubert; Hui Wang; Julio T. Bacmeister; Ping Chang; Fabrice Chauvin; Christiane Jablonowski; Arun Kumar; Hiroyuki Murakami; Tomoaki Ose; Kevin A. Reed; R. Saravanan

AbstractWhile a quantitative climate theory of tropical cyclone formation remains elusive, considerable progress has been made recently in our ability to simulate tropical cyclone climatologies and to understand the relationship between climate and tropical cyclone formation. Climate models are now able to simulate a realistic rate of global tropical cyclone formation, although simulation of the Atlantic tropical cyclone climatology remains challenging unless horizontal resolutions finer than 50 km are employed. This article summarizes published research from the idealized experiments of the Hurricane Working Group of U.S. Climate and Ocean: Variability, Predictability and Change (CLIVAR). This work, combined with results from other model simulations, has strengthened relationships between tropical cyclone formation rates and climate variables such as midtropospheric vertical velocity, with decreased climatological vertical velocities leading to decreased tropical cyclone formation. Systematic differences...


Journal of Physical Oceanography | 1998

Do We Require Adiabatic Dissipation Schemes in Eddy-Resolving Ocean Models?

Malcolm J. Roberts; David P. Marshall

Abstract Use of horizontal diffusion of temperature and salinity in numerical ocean models causes spurious diapycnal transfers—the “Veronis effect”—leading to erosion of the thermocline and reduced poleward heat transports. The authors derive a relation between these diapycnal transfers and the dissipation of vorticity gradients. An increase in model resolution does not significantly reduce the diapycnal transfers since vorticity gradients cascade to smaller scales and must ultimately be dissipated to maintain numerical stability. This is confirmed in an idealized primitive equation ocean model at a variety of resolutions between 1° and 1/8°. Thus, the authors conclude that adiabatic dissipation schemes are required, even in eddy-resolving ocean models. The authors propose and implement a new biharmonic form of the Gent and McWilliams scheme, which adiabatically dissipates at the grid scale while preserving larger-scale features.


Journal of Climate | 2009

Impact of Resolution on the Tropical Pacific Circulation in a Matrix of Coupled Models

Malcolm J. Roberts; A. Clayton; Marie-Estelle Demory; J. Donners; Pier Luigi Vidale; W. Norton; Len Shaffrey; David P. Stevens; I. Stevens; Richard A. Wood; Julia Slingo

Results are presented from a matrix of coupled model integrations, using atmosphere resolutions of 135 and 90 km, and ocean resolutions of 1° and 1/3°, to study the impact of resolution on simulated climate. The mean state of the tropical Pacific is found to be improved in the models with a higher ocean resolution. Such an improved mean state arises from the development of tropical instability waves, which are poorly resolved at low resolution; these waves reduce the equatorial cold tongue bias. The improved ocean state also allows for a better simulation of the atmospheric Walker circulation. Several sensitivity studies have been performed to further understand the processes involved in the different component models. Significantly decreasing the horizontal momentum dissipation in the coupled model with the lower-resolution ocean has benefits for the mean tropical Pacific climate, but decreases model stability. Increasing the momentum dissipation in the coupled model with the higher-resolution ocean degrades the simulation toward that of the lower-resolution ocean. These results suggest that enhanced ocean model resolution can have important benefits for the climatology of both the atmosphere and ocean components of the coupled model, and that some of these benefits may be achievable at lower ocean resolution, if the model formulation allows.

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