Martin John Best

Martin John Best

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Martin John Best

Met Office Exeter UK

Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2011 in Geoscientific Model Development
Verified
Journal Article
Open access
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MBM. J. Best
M. J. Best
MPM. Pryor
M. Pryor
DCD. B. Clark
D. B. Clark
GRG. G. Rooney
G. G. Rooney
RER .L. H. Essery
R .L. H. Essery
RHR. J. Harding
R. J. Harding
This manuscript describes the energy and water components of a new community land surface model called the Joint UK Land Environment Simulator (JULES). This is developed from the Met Office Surface Exchange Scheme (MOSES). It can be used as a stand alone land surface model driven by observed forcing data, or coupled to an atmospheric global circulation model. The JULES model has been coupled to the Met Office Unified Model (UM) and as such provides a unique opportunity for the research community to contribute their research to improve both world-leading operational weather forecasting and climate change prediction systems. In addition JULES, and its forerunner MOSES, have been the basis for a number of very high-profile papers concerning the land-surface and climate over the last decade. JULES has a modular structure aligned to physical processes, providing the basis for a flexible modelling platform.

1 September 2011 in Geoscientific Model Development
Verified
Journal Article
Open access
PDF file
DCD. B. Clark
D. B. Clark
LML. M. Mercado
L. M. Mercado
SSS. Sitch
S. Sitch
CJC. D. Jones
C. D. Jones
NGN. Gedney
N. Gedney
PCPeter Michael Cox
Peter Michael Cox
The Joint UK Land Environment Simulator (JULES) is a process-based model that simulates the fluxes of carbon, water, energy and momentum between the land surface and the atmosphere. Many studies have demonstrated the important role of the land surface in the functioning of the Earth System. Different versions of JULES have been employed to quantify the effects on the land carbon sink of climate change, increasing atmospheric carbon dioxide concentrations, changing atmospheric aerosols and tropospheric ozone, and the response of methane emissions from wetlands to climate change. This paper describes the consolidation of these advances in the modelling of carbon fluxes and stores, in both the vegetation and soil, in version 2.2 of JULES. Features include a multi-layer canopy scheme for light interception, including a sunfleck penetration scheme, a coupled scheme of leaf photosynthesis and stomatal conductance, representation of the effects of ozone on leaf physiology, and a description of methane emissions from wetlands. JULES represents the carbon allocation, growth and population dynamics of five plant functional types. The turnover of carbon from living plant tissues is fed into a 4-pool soil carbon model. The process-based descriptions of key ecological processes and trace gas fluxes in JULES mean that this community model is well-suited for use in carbon cycle, climate change and impacts studies, either in standalone mode or as the land component of a coupled Earth system model.

19 August 2014 in Water Resources Research
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GWGraham P. Weedon
Graham P. Weedon
Gianpaolo BalsamoGianpaolo Balsamo
Gianpaolo Balsamo
NBNicolas Bellouin
Nicolas Bellouin
SGSandra Gomes
Sandra Gomes
MBMartin J. Best
Martin J. Best
PVPedro Viterbo
Pedro Viterbo
The WFDEI meteorological forcing data set has been generated using the same methodology as the widely used WATCH Forcing Data (WFD) by making use of the ERA‐Interim reanalysis data. We discuss the specifics of how changes in the reanalysis and processing have led to improvement over the WFD. We attribute improvements in precipitation and wind speed to the latest reanalysis basis data and improved downward shortwave fluxes to the changes in the aerosol corrections. Covering 1979–2012, the WFDEI will allow more thorough comparisons of hydrological and Earth System model outputs with hydrologically and phenologically relevant satellite products than using the WFD.

1 December 2010 in Journal of Hydrology
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Journal Article
Closed access
CPC. Piani
C. Piani
GWG.P. Weedon
G.P. Weedon
MBM. Best
M. Best
SGS.M. Gomes
S.M. Gomes
PVP. Viterbo
P. Viterbo
JHJ.O. Haerter
J.O. Haerter

1 October 2011 in Journal of Hydrometeorology
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Journal Article
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GWG. P. Weedon
G. P. Weedon
SGS. Gomes
S. Gomes
PVP. Viterbo
P. Viterbo
WSW. J. Shuttleworth
W. J. Shuttleworth
EBE. Blyth
E. Blyth
MBM. Best
M. Best
The Water and Global Change (WATCH) project evaluation of the terrestrial water cycle involves using land surface models and general hydrological models to assess hydrologically important variables including evaporation, soil moisture, and runoff. Such models require meteorological forcing data, and this paper describes the creation of the WATCH Forcing Data for 1958–2001 based on the 40-yr ECMWF Re-Analysis (ERA-40) and for 1901–57 based on reordered reanalysis data. It also discusses and analyses model-independent estimates of reference crop evaporation. Global average annual cumulative reference crop evaporation was selected as a widely adopted measure of potential evapotranspiration. It exhibits no significant trend from 1979 to 2001 although there are significant long-term increases in global average vapor pressure deficit and concurrent significant decreases in global average net radiation and wind speed. The near-constant global average of annual reference crop evaporation in the late twentieth century masks significant decreases in some regions (e.g., the Murray–Darling basin) with significant increases in others.

7 September 2011 in Geoscientific Model Development
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Journal Article
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TMThe HadGEM2 Development Team: G. M. Martin
The HadGEM2 Development Team: G. M. Martin
NBN. Bellouin
N. Bellouin
WCWilliam Collins
William Collins
ICI. D. Culverwell
I. D. Culverwell
PHP. R. Halloran
P. R. Halloran
AWA. Wiltshire
A. Wiltshire
We describe the HadGEM2 family of climate configurations of the Met Office Unified Model, MetUM. The concept of a model "family" comprises a range of specific model configurations incorporating different levels of complexity but with a common physical framework. The HadGEM2 family of configurations includes atmosphere and ocean components, with and without a vertical extension to include a well-resolved stratosphere, and an Earth-System (ES) component which includes dynamic vegetation, ocean biology and atmospheric chemistry. The HadGEM2 physical model includes improvements designed to address specific systematic errors encountered in the previous climate configuration, HadGEM1, namely Northern Hemisphere continental temperature biases and tropical sea surface temperature biases and poor variability. Targeting these biases was crucial in order that the ES configuration could represent important biogeochemical climate feedbacks. Detailed descriptions and evaluations of particular HadGEM2 family members are included in a number of other publications, and the discussion here is limited to a summary of the overall performance using a set of model metrics which compare the way in which the various configurations simulate present-day climate and its variability.