G. D. Carver

European Centre for Medium-Range Weather Forecasts

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J. A. Pyle

National Centre for Atmospheric Science

N. J. Warwick

University of Cambridge

Gijs van den Oord

Netherlands eScience Center

Mario Acosta

Universitat Politècnica de Catalunya

Pirkka Ollinaho

Finnish Meteorological Institute

Nick Savage

Met Office

Xavier Yepes-Arbós

Universitat Politècnica de Catalunya

Oliver Wild

Lancaster University

E. W. Wolff

University of Cambridge

A. E. Jones

Natural Environment Research Council

Cooperative Institutions

National Centre for Atmospheric Science

European Centre for Medium-Range Weather Forecasts

University of Cambridge

Centre National de la Recherche Scientifique

University of Leeds

University of East Anglia

University of Reading

Universitat Politècnica de Catalunya

Barcelona Supercomputing Center

University of York

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Upgrading photolysis in the p-TOMCAT CTM: model evaluation and assessment of the role of clouds

Geoscientific model development (2009)

Apostolos Voulgarakis Nick Savage Oliver Wild G. D. Carver K. C. Clemitshaw

Abstract. A new version of the p-TOMCAT Chemical Transport Model (CTM) which includes an improved photolysis code, Fast-JX, is validated. Through offline testing we show that Fast-JX captures well the observed J(NO2) and J(O1D) values obtained at Weybourne and during a flight above the Atlantic, though with some overestimation of J(O1D) when comparing to the aircraft data. By comparing p-TOMCAT output of CO and ozone with measurements, we find that the inclusion of Fast-JX in the CTM strongly improves the latter's ability to capture the seasonality and levels of tracers' concentrations. A probability distribution analysis demonstrates that photolysis rates and oxidant (OH, ozone) concentrations cover a broader range of values when using Fast-JX instead of the standard photolysis scheme. This is not only driven by improvements in the seasonality of cloudiness but also even more by the better representation of cloud spatial variability. We use three different cloud treatments to study the radiative effect of clouds on the abundances of a range of tracers and find only modest effects on a global scale. This is consistent with the most relevant recent study. The new version of the validated CTM will be used for a variety of future studies examining the variability of tropospheric composition and its drivers.

Seasonality

Chemical Transport Model

Ozone Depletion

10.5194/gmd-2-59-2009

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Citations (44)

Training the next generation of scientists in Weather Forecasting: new approaches with real models

EGUGA (2014)

G. D. Carver Filip Váňa Stephan Siemen Sándor Kertész Sarah Keeley

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Comparison and visualisation of high‐resolution transport modelling with aircraft measurements

Atmospheric Science Letters (2005)

Fiona M. O’Connor G. D. Carver Nick Savage J. A. Pyle John Methven

Abstract This article presents a case study of a comparison of an Eulerian chemical transport model (CTM) and Lagrangian chemical model with measurements taken by aircraft. High‐resolution Eulerian integrations produce improved point‐by‐point comparisons between model results and measurements compared to low resolution. The Lagrangian model requires mixing to be introduced in order to model the measurements. Copyright © 2005 Royal Meteorological Society

10.1002/asl.111

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Citations (31)

I/O scalability boost for the next generation of Earth system models: IFS-XIOS integration as a case study

AGU Fall Meeting Abstracts (2018)

Xavier Yepes-Arbós Mario Acosta Gijs van den Oord G. D. Carver

Earth system science

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Metview and VAPOR: Exploring ECMWF forecasts easily in four dimensions

EGU General Assembly Conference Abstracts (2014)

Stephan Siemen Sándor Kertész G. D. Carver

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Accuracy of the isentropic trajectories calculated for the EASOE Campaign

Geophysical Research Letters (1994)

B. M. Knudsen G. D. Carver

During EASOE 10 day backward trajectories ending on most measurement sites were calculated on 6 isentropic levels every day. The temporal and spatial coarseness of the ECMWF analyses used cause significant errors in the trajectories. These interpolation errors are largest in the direction along the trajectories. The difference between two trajectories of the Polar Vortex Balloon Experiment and calculated trajectories is 8 and 12% of the trajectory length after 1.83 and 2.14 days. This discrepancy is not explainable by interpolation errors alone.

Isentropic process

Interpolation

10.1029/93gl02437

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Citations (56)

Can a global model chemical mechanism reproduce NO, NO<sub>2</sub>, and O<sub>3</sub> measurements above a tropical rainforest?

Rachel Pike J. D. Lee P. J. Young Sarah Møller G. D. Carver

Abstract. A cross-platform field campaign, OP3, was conducted in the state of Sabah in Malaysian Borneo between April and July of 2008. Among the suite of observations recorded, the campaign included measurements of NOx and O3–crucial outputs of any model chemistry mechanism. We describe the measurements of these species made from both the ground site and aircraft. We examine the output from the global model p-TOMCAT at two resolutions for this location during the April campaign period. The models exhibit reasonable ability in capturing the NOx diurnal cycle, but ozone is overestimated. We use a box model containing the same chemical mechanism to explore the weaknesses in the global model and the ability of the simplified global model chemical mechanism to capture the chemistry at the rainforest site. We achieve a good fit to the data for all three species (NO, NO2, and O3), though the model is much more sensitive to changes in the treatment of physical processes than to changes in the chemical mechanism. Indeed, without some parameterization of the nighttime boundary layer-free troposphere mixing, a time dependent box model will not reproduce the observations. The final simulation uses this mixing parameterization for NO and NO2 but not O3, as determined by the vertical structure of each species, and matches the measurements well.

10.5194/acpd-9-27611-2009

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Citations (9)

The effect of tropical islands on the chemical mixing of biogenics and their oxidation products from the surface layer to the upper troposphere

AGUFM (2011)

K. E. Hornsby P. S. Monks N. J. Warwick G. D. Carver J. A. Pyle

Mixing ratio

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Global Modelling of NOx Emissions From Snow

AGUFM (2004)