Evaluation of model‐generated vertical profiles of meteorological variables: method and initial results

Cogan, James

doi:10.1002/met.1620

Cited by 5 publications

(4 citation statements)

References 12 publications

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“…Model results are presented in a form of vertical profiles with wind speeds and are compared with observations at the two sounding sites (Figure 2). This approach is often used in modelling studies as an alternative to a more detailed post-processing method involving interpolation of both model results and observations to a fixed set of pre-selected heights [63]. Time series with daily mean concentrations of birch (Betula) pollen (with and without feedback) are compared with observations at the 6 monitoring sites (Figure 3) series with daily mean concentrations of birch (Betula) pollen (with and without feedback) and compared with observations at the 6 monitoring sites (Figure 3).…”

Section: Evaluation Of the Resultsmentioning

confidence: 99%

Air Pollution Affecting Pollen Concentrations through Radiative Feedback in the Atmosphere

et al. 2021

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Episodes with high air pollution and large amounts of aeroallergens expose sensitive individuals to a health damaging cocktail of atmospheric particles. Particulate matter (PM) affects the radiative balance and atmospheric dynamics, hence affecting concentrations of pollutants. The aim of the study is to estimate feedback between meteorology and particles on concentrations of aeroallergens using an extended version of the atmospheric model WRF-Chem. The extension, originally designed for PM and dust, concerns common aeroallergens. We study a birch pollen episode coinciding with an air pollution event containing Saharan dust (late March to early April 2014), using the model results, pollen records from Southern UK and vertical profiles of meteorological observations. During the episode, increased concentrations of birch pollen were calculated over the European continent, causing plumes transported towards the UK. The arrival of these plumes matched well with observations. The lowest parts of the atmospheric boundary layer demonstrate a vertical profile that favours long distance transport, while the pollen record shows pollen types that typically flower at another time. The model calculations show that feedback between meteorology and particles changes pollen concentrations by ±30% and in some cases up to 100%. The atmospheric conditions favoured meteorological feedback mechanisms that changed long distance transport of air pollution and aeroallergens.

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Section: Evaluation Of the Resultsmentioning

confidence: 99%

Air Pollution Affecting Pollen Concentrations through Radiative Feedback in the Atmosphere

et al. 2021

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“…Vertical profiles were extracted from the WRF output files via an NCL script. Cogan (, ) describes the programme for conversion of RAOB or WRF soundings into METCMs and various other types of meteorological profiles. That software also produces a form of the METCM that is suitable for input to the GTRAJ trajectory simulation programme.…”

Section: Methodsmentioning

confidence: 99%

“…Here, METCMs were derived from both WRF‐based profiles and RAOB soundings. The generation of vertical profiles for the METCM is based on algorithms implemented in software described by Cogan (, ). That software package processes model data or RAOB soundings into various forms including the METCM.…”

Section: Datamentioning

confidence: 99%

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Model evaluation using ballistic trajectories and preliminary mesoscale model accuracies with age of global model initialization data

Cogan

2017

Meteorological Applications

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The evaluation of vertical profiles derived from model output normally consists of comparisons with meteorological observations at prescribed levels. Simulated ballistic trajectories with their major dependence on meteorological conditions is suggested as an additional means to evaluate the accuracy of a model over the vertical extent of the trajectory, and is demonstrated with a preliminary model evaluation. Normally, initialization and adjustment of lateral boundary conditions employs the most recent output available from a larger scale regional or global model. However, some applications such as for civilian or military responders in areas with minimal or no connectivity to data centres may require the use of older large-scale model data. This paper demonstrates the alternative method in a preliminary investigation on the effect of using older large-scale data on mesoscale model accuracy. Initial results for trajectories and comparisons with meteorological observations showed wide variation among individual cases and a general tendency towards poorer accuracy with age of the large-scale data. As the age of the large-scale model increased from 3 to 4 days, trajectory outcomes showed slight improvements, and wind and, to a lesser extent, temperature appeared to improve slightly at several heights. Model profile and coincident radiosonde-based trajectories differed by about 89 m for the mesoscale model forecast using the most recent (0 day) large-scale input to 276 m for the oldest (4 days). While a far more complete dataset is required for conclusive results, these outcomes help point the way to further research.

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Reanalysis profile downscaling with WRF model and sensitivity to PBL parameterization schemes over a subtropical station

Diaz

Santos

Käfer

et al. 2021

Journal of Atmospheric and Solar-Terrestrial Physics

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Evaluation of model‐generated vertical profiles of meteorological variables: method and initial results

Cited by 5 publications

References 12 publications

Air Pollution Affecting Pollen Concentrations through Radiative Feedback in the Atmosphere

Air Pollution Affecting Pollen Concentrations through Radiative Feedback in the Atmosphere

Model evaluation using ballistic trajectories and preliminary mesoscale model accuracies with age of global model initialization data

Reanalysis profile downscaling with WRF model and sensitivity to PBL parameterization schemes over a subtropical station

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