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Journal articleLawrence JA, 2010,
Informing chalk cliff recession management decisions
, Civil Engineering Year Book 2010, Pages: 17-18 -
Conference paperKitwiroon N, Beevers S, 2010,
Comprehensive analysis of annual 2005/2008 simulation of WRF/CMAQ over southeast of England
, Pages: 60-64A comprehensive evaluation was conducted on annual 2005 WRF/CMAQ simulations over the southeast of England to identify the cause of model deficiencies and to determine if the model is suitable for policy applications. The model performance was characterised through operational, dynamic and diagnostic evaluations. For operational evaluations, the model results, downscaled from a horizontal grid resolution of 81km to 3km, were compared against the observations from 120 air quality monitoring sites measuring NO<inf>2</inf> and O<inf>3</inf> concentrations across the southeast of England. The predicted surface and vertical profiles of temperature, relative humidity and wind components were also evaluated, as was the predicted atmospheric pressure at mean sea level, which was compared with the synoptic scale charts. Demonstration of a number of model diagnostics was made possible through the use of 'Openair' (http://www.openair-project.org/), AMET (http://www.cmascenter.org) and through development of R scripts. These included time series plots, scatter plots, diurnal error plots, Taylor diagrams and statistical measures. The performance of WRF/CMAQ for 2005 showed that the model was able to capture seasonal trends, the magnitude of the observed meteorology, NO<inf>2</inf> and O<inf>3</inf>, and the partitioning of oxidant (NO<inf>2</inf>+O<inf>3</inf>). The analysis presented indicates that overall CMAQ represents O<inf>3</inf> concentrations well, although WRF over predicts wind speeds during the night and this has an impact on NO<inf>2</inf> and O<inf>3</inf> concentrations during this time. The dynamic evaluation showed that the model responds to changes in emissions of NO<inf>X</inf> and HC's and that these agree well with other results in the literature. Further sensitivity analyses between 2005 (typical UK weather) and 2008 (wet year) showed that
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Journal articleWeller H, Ringler T, Piggott M, et al., 2010,
CHALLENGES FACING ADAPTIVE MESH MODELING OF THE ATMOSPHERE AND OCEAN
, BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, Vol: 91, Pages: 105-+, ISSN: 0003-0007- Author Web Link
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- Citations: 22
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Journal articleWania R, Ross I, Prentice IC, 2010,
Implementation and evaluation of a new methane model within a dynamic global vegetation model: LPJ-WHyMe v1.3.1
, GEOSCIENTIFIC MODEL DEVELOPMENT, Vol: 3, Pages: 565-584, ISSN: 1991-959X- Author Web Link
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- Citations: 227
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Journal articleArneth A, Sitch S, Bondeau A, et al., 2010,
From biota to chemistry and climate: towards a comprehensive description of trace gas exchange between the biosphere and atmosphere
, BIOGEOSCIENCES, Vol: 7, Pages: 121-149, ISSN: 1726-4170- Cite
- Citations: 67
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Journal articleFarrell PE, Piggott MD, Gorman GJ, et al., 2010,
Automated continuous verification and validation for numerical simulation
, Geoscientific Model Development Discussions, Vol: 3, Pages: 1587-1623 -
Journal articleThonicke K, Spessa A, Prentice IC, et al., 2010,
The influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based model (vol 7, pg 1991, 2010)
, BIOGEOSCIENCES, Vol: 7, Pages: 2191-2191, ISSN: 1726-4170- Author Web Link
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- Citations: 5
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Journal articleThonicke K, Spessa A, Prentice IC, et al., 2010,
The influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based model
, BIOGEOSCIENCES, Vol: 7, Pages: 1991-2011, ISSN: 1726-4170- Author Web Link
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- Citations: 318
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Journal articleTonne C, Beevers S, Kelly FJ, et al., 2010,
An approach for estimating the health effects of changes over time in air pollution: an illustration using cardio-respiratory hospital admissions in London
, Occupational and Environmental Medicine, Vol: 67, Pages: 422-427, ISSN: 1351-0711Objectives First, we present a general analytical approach to estimating the association between medium-term changes in air pollution and health across small areas. As a specific illustration, we then applied the approach to data on London residents from a 4-year period to test whether reductions in traffic-related air pollution were associated with reductions in cardio-respiratory hospital admissions.Methods A binomial distribution was used to model change in admissions over time in each small area, which was measured as the proportion of admissions in 2003–2004 out of admissions over all study years (2001–2004). Annual average concentrations of nitrogen oxides (NOx) were modelled using an emissions-dispersion model. The association between change in NOx and change in hospital admissions was estimated using logistic regression and an instrumental variable approach.Results For some diagnostic groups, suggestive associations between reductions in NOx and reductions in admissions were observed, for example, OR=0.97 (95% CI 0.96 to 0.99) for an IQR decrease in NOx (3 μg/m3) and all respiratory admissions. Accounting for spatial dependence attenuated several of the associations; for respiratory admissions, the OR was 1.00 (95% CI 0.98 to 1.02), leaving only that for bronchiolitis significant (OR=0.91; 95% CI 0.84 to 0.99). In this particular illustration, the instrumental variable approach did not appear to add information.Conclusions In this illustration, there was relatively limited power to detect an association between changes in air pollution and hospital admissions over time. However, the analytical approach could deliver more robust estimates of the health effects of changes in air pollution in settings with greater spatial contrast in changes in air pollution over time.
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Conference paperChan N, Young T, Brindley H, et al., 2010,
VARIATION IN SPECTRAL IRRADIANCE AND THE CONSEQUENCES FOR MULTI-JUNCTION CONCENTRATOR PHOTOVOLTAIC SYSTEMS
, 35th IEEE Photovoltaic Specialists Conference, Publisher: IEEE, ISSN: 0160-8371- Author Web Link
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- Citations: 2
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