Abstract

Abstract. The offline FLEXible PARTicle (FLEXPART) stochastic dispersion model is currently a community model used by many scientists. Here, an alternative FLEXPART model version has been developed and tailored to use with the meteorological output data generated by the CMIP5-version of the Norwegian Earth System Model (NorESM1-M). The atmospheric component of the NorESM1-M is based on the Community Atmosphere Model (CAM4); hence, this FLEXPART version could be widely applicable and it provides a new advanced tool to directly analyse and diagnose atmospheric transport properties of the state-of-the-art climate model NorESM in a reliable way. The adaptation of FLEXPART to NorESM required new routines to read meteorological fields, new post-processing routines to obtain the vertical velocity in the FLEXPART coordinate system, and other changes. These are described in detail in this paper. To validate the model, several tests were performed that offered the possibility to investigate some aspects of offline global dispersion modelling. First, a comprehensive comparison was made between the tracer transport from several point sources around the globe calculated online by the transport scheme embedded in CAM4 and the FLEXPART model applied offline on output data. The comparison allowed investigating several aspects of the transport schemes including the approximation introduced by using an offline dispersion model with the need to transform the vertical coordinate system, the influence on the model results of the sub-grid-scale parameterisations of convection and boundary layer height and the possible advantage entailed in using a numerically non-diffusive Lagrangian particle solver. Subsequently, a comparison between the reference FLEXPART model and the FLEXPART–NorESM/CAM version was performed to compare the well-mixed state of the atmosphere in a 1-year global simulation. The two model versions use different methods to obtain the vertical velocity but no significant difference in the results was found. However, for both model versions there was some degradation in the well-mixed state after 1 year of simulation with the build-up of a bias and an increased scatter. Finally, the capability of the new combined modelling system in producing realistic, backward-in-time transport statistics was evaluated calculating the average footprint over a 5-year period for several measurement locations and by comparing the results with those obtained with the reference FLEXPART model driven by re-analysis fields. This comparison confirmed the effectiveness of the combined modelling system FLEXPART with NorESM in producing realistic transport statistics.

Highlights

  • Transport in the atmosphere can be simulated with gridbased methods or Lagrangian particle methods, and both modelling methods have their advantages and disadvantages

  • We investigated the effects on the results of the change of vertical coordinate system, SGS convection scheme, and planetary boundary layer (PBL) depth parameterisation, which are different between the offline FLEXPART–NorESM/CAM and the online transport scheme of NorESM

  • We have developed a version of FLEXPART, FLEXPART

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Summary

Introduction

Transport in the atmosphere can be simulated with gridbased methods or Lagrangian particle methods, and both modelling methods have their advantages and disadvantages. The comparison includes tracer releases from several point sources around the globe, and it allows for evaluating (i) the correctness of this FLEXPART version, (ii) the differences introduced by the need to transform the vertical coordinate system and obtain an appropriate vertical velocity, (iii) the use of two methods to obtain the vertical velocity in FLEXPART–NorESM/CAM, (iv) the influence on the models results of different sub-grid-scale (SGS) parameterisations for convection and boundary layer height, and (v) the possible advantages entailed in using a numerically non-diffusive Lagrangian particle solver instead of a grid-based solver.

Model description
Brief description of the original FLEXPART model
Model validation and comparison
Consistency of results after transformation of vertical coordinates
Insight in the sensitivity of the results to boundary layer height
Summary and future development
Findings
Code and data availability
Full Text
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