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45 results on '"Boutle, I. A."'

1. The Impact of Mixing Treatments on Cloud Modelling in 3D Simulations of Hot Jupiters

Author

Christie, D. A., Mayne, N. J., Lines, S., Parmentier, V., Manners, J., Boutle, I., Drummond, B., Mikal-Evans, T., Sing, D. K., and Kohary, K.

Subjects
Astrophysics - Earth and Planetary Astrophysics
Abstract

We present results of 3D hydrodynamical simulations of HD209458b including a coupled, radiatively-active cloud model ({\sc EddySed}). We investigate the role of the mixing by replacing the default convective treatment used in previous works with a more physically relevant mixing treatment ($K_{zz}$) based on global circulation. We find that uncertainty in the efficiency of sedimentation through the sedimentation factor $f_\mathrm{sed}$ plays a larger role in shaping cloud thickness and its radiative feedback on the local gas temperatures -- e.g. hot spot shift and day-to-night side temperature gradient -- than the switch in mixing treatment. We demonstrate using our new mixing treatments that simulations with cloud scales which are a fraction of the pressure scale height improve agreement with the observed transmission spectra, the emission spectra, and the Spitzer 4.5 $\mathrm{\mu m}$ phase curve, although our models are still unable to reproduce the optical and UV transmission spectra. We also find that the inclusion of cloud increases the transit asymmetry in the optical between the east and west limbs, although the difference remains small ($\lesssim 1\%$)., Comment: 17 pages. 14 figures. 1 table

Published
2021
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2. Overcast on Osiris: 3D radiative-hydrodynamical simulations of a cloudy hot Jupiter using the parameterised, phase-equilibrium cloud formation code EddySed

Author

Lines, S., Mayne, N. J., Manners, J., Boutle, I. A., Drummond, B., Mikal-Evans, T., Kohary, K., and Sing, D. K.

Subjects
Astrophysics - Earth and Planetary Astrophysics
Abstract

We present results from 3D radiative-hydrodynamical simulations of HD 209458b with a fully coupled treatment of clouds using the EddySed code, critically, including cloud radiative feedback via absorption and scattering. We demonstrate that the thermal and optical structure of the simulated atmosphere is markedly different, for the majority of our simulations, when including cloud radiative effects, suggesting this important mechanism can not be neglected. Additionally, we further demonstrate that the cloud structure is sensitive to not only the cloud sedimentation efficiency (termed $f_{\textrm{sed}}$ in EddySed), but also the temperature-pressure profile of the deeper atmosphere. We briefly discuss the large difference between the resolved cloud structures of this work, adopting a phase-equilibrium and parameterised cloud model, and our previous work incorporating a cloud microphysical model, although a fairer comparison where, for example, the same list of constituent condensates is included in both treatments, is reserved for a future work. Our results underline the importance of further study into the potential condensate size distributions and vertical structures, as both strongly influence the radiative impact of clouds on the atmosphere. Finally, we present synthetic observations from our simulations reporting an improved match, over our previous cloud-free simulations, to the observed transmission, HST WFC3 emission and 4.5 $\mu$m Spitzer phase curve of HD 209458b. Additionally, we find all our cloudy simulations have an apparent albedo consistent with observations., Comment: 26 pages, accepted for publication in MNRAS

Published
2019
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3. The Limits of the Primitive Equations of Dynamics for Warm, Slowly Rotating Small Neptunes and Super Earths

Author

Mayne, N. J., Drummond, B., Debras, F., Jaupart, E., Manners, J., Boutle, I. A., Baraffe, I., and Kohary, K.

Subjects
Astrophysics - Earth and Planetary Astrophysics
Abstract

We present significant differences in the simulated atmospheric flow for warm, tidally-locked small Neptunes and super Earths (based on a nominal GJ 1214b) when solving the simplified, and commonly used, primitive dynamical equations or the full Navier-Stokes equations. The dominant prograde, superrotating zonal jet is markedly different between the simulations which are performed using practically identical numerical setups, within the same model. The differences arise due to the breakdown of the so-called `shallow-fluid' and traditional approximations, which worsens when rotation rates are slowed, and day-night temperature contrasts are increased. The changes in the zonal advection between simulations solving the full and simplified equations, give rise to significant differences in the atmospheric redistribution of heat, altering the position of the hottest part of the atmosphere and temperature contrast between the day and night sides. The implications for the atmospheric chemistry and, therefore, observations need to be studied with a model including a more detailed treatment of the radiative transfer and chemistry. Small Neptunes and super Earths are extremely abundant and important, potentially bridging the structural properties (mass, radius, composition) of terrestrial and gas giant planets. Our results indicate care is required when interpreting the output of models solving the primitive equations of motion for such planets., Comment: 26 pages, 11 figures, Accepted for Publication in ApJ

Published
2018
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4. Exonephology: Transmission spectra from a 3D simulated cloudy atmosphere of HD209458b

Author

Lines, S., Manners, J., Mayne, N. J., Goyal, J., Carter, A. L., Boutle, I. A., Lee, E. K. H., Helling, Ch., Drummond, B., Acreman, D. M., and Sing, D. K.

Subjects
Astrophysics - Earth and Planetary Astrophysics
Abstract

We present high resolution transmission spectra, calculated directly from a 3D radiative-hydrodynamics simulation that includes kinetic cloud formation, for HD209458b. We find that the high opacity of our vertically extensive cloud deck, composed of a large number density of sub-micron particles, flattens the transmission spectrum and obscures spectral features identified in observed data. We use the PandExo simulator to explore features of our HD209458b spectrum which may be detectable with the James Webb Space Telescope (JWST). We determine that an 8 - 12 micron absorption feature attributed to the mixed-composition, predominantly silicate cloud particles is a viable marker for the presence of cloud. Further calculations explore, and trends are identified with, variations in cloud opacity, composition heterogeneity and artificially scaled gravitational settling on the transmission spectrum. Principally, by varying the upper extent of our cloud decks, rainout is identified to be a key process for the dynamical atmospheres of hot-Jupiters and shown to dramatically alter the resulting spectrum. Our synthetic transmission spectra, obtained from the most complete, forward atmosphere simulations to--date, allow us to explore the model's ability to conform with observations. Such comparisons can provide insight into the physical processes either missing, or requiring improvement., Comment: Accepted to MNRAS, 14 Pages and 8 Figures

Published
2018
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6. A note on boundary-layer friction in baroclinic cyclones

Author

Boutle, I. A., Beare, R. J., Belcher, S. E., and Plant, R. S.

Subjects
Physics - Atmospheric and Oceanic Physics, Physics - Fluid Dynamics
Abstract

The interaction between extratropical cyclones and the underlying boundary layer has been a topic of recent discussion in papers by Adamson et. al. (2006) and Beare (2007). Their results emphasise different mechanisms through which the boundary layer dynamics may modify the growth of a baroclinic cyclone. By using different sea-surface temperature distributions and comparing the low-level winds, the differences are exposed and both of the proposed mechanisms appear to be acting within a single simulation., Comment: 5 pages, 3 figures

Published
2008
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8. 3D Climate Simulations of the Archean Find That Methane has a Strong Cooling Effect at High Concentrations

Author

Eager‐Nash, J. K., primary, Mayne, N. J., additional, Nicholson, A. E., additional, Prins, J. E., additional, Young, O. C. F., additional, Daines, S. J., additional, Sergeev, D. E., additional, Lambert, F. H., additional, Manners, J., additional, Boutle, I. A., additional, Wolf, E. T., additional, Kamp, I. E. E., additional, Kohary, K., additional, and Lenton, T. M., additional

Published
2023
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9. Demistify: A large-eddy simulation (LES) and single-column model (SCM) intercomparison of radiation fog

Author

Boutle, I and Boutle, I

Abstract

An intercomparison between 10 single-column (SCM) and 5 large-eddy simulation (LES) models is presented for a radiation fog case study inspired by the Local and Non-local Fog Experiment (LANFEX) field campaign. Seven of the SCMs represent single-column equivalents of operational numerical weather prediction (NWP) models, whilst three are research-grade SCMs designed for fog simulation, and the LESs are designed to reproduce in the best manner currently possible the underlying physical processes governing fog formation. The LES model results are of variable quality and do not provide a consistent baseline against which to compare the NWP models, particularly under high aerosol or cloud droplet number concentration (CDNC) conditions. The main SCM bias appears to be toward the overdevelopment of fog, i.e. fog which is too thick, although the inter-model variability is large. In reality there is a subtle balance between water lost to the surface and water condensed into fog, and the ability of a model to accurately simulate this process strongly determines the quality of its forecast. Some NWP SCMs do not represent fundamental components of this process (e.g. cloud droplet sedimentation) and therefore are naturally hampered in their ability to deliver accurate simulations. Finally, we show that modelled fog development is as sensitive to the shape of the cloud droplet size distribution, a rarely studied or modified part of the microphysical parameterisation, as it is to the underlying aerosol or CDNC.

Published
2022

12. Continuous Structural Parameterization: A Proposed Method for Representing Different Model Parameterizations Within One Structure Demonstrated for Atmospheric Convection

Author

Lambert, F. H., primary, Challenor, P. G., additional, Lewis, N. T., additional, McNeall, D. J., additional, Owen, N., additional, Boutle, I. A., additional, Christensen, H. M., additional, Keane, R. J., additional, Mayne, N. J., additional, Stirling, A., additional, and Webb, M. J., additional

Published
2020
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16. Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1

Author

Mulcahy, J. P., primary, Jones, C., additional, Sellar, A., additional, Johnson, B., additional, Boutle, I. A., additional, Jones, A., additional, Andrews, T., additional, Rumbold, S. T., additional, Mollard, J., additional, Bellouin, N., additional, Johnson, C. E., additional, Williams, K. D., additional, Grosvenor, D. P., additional, and McCoy, D. T., additional

Published
2018
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20. Single‐Column Model Simulations of Subtropical Marine Boundary‐Layer Cloud Transitions Under Weakening Inversions

Author

Neggers, R. A. J., primary, Ackerman, A. S., additional, Angevine, W. M., additional, Bazile, E., additional, Beau, I., additional, Blossey, P. N., additional, Boutle, I. A., additional, de Bruijn, C., additional, Cheng, A., additional, van der Dussen, J., additional, Fletcher, J., additional, Dal Gesso, S., additional, Jam, A., additional, Kawai, H., additional, Cheedela, S. K., additional, Larson, V. E., additional, Lefebvre, M.‐P., additional, Lock, A. P., additional, Meyer, N. R., additional, de Roode, S. R., additional, de Rooy, W., additional, Sandu, I., additional, Xiao, H., additional, and Xu, K.‐M., additional

Published
2017
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21. Friction in mid-latitude cyclones: an Ekman-PV mechanism

Author

Boutle, I. A., Belcher, Stephen E, Plant, R S, and Met Office

Subjects
Physics::Atmospheric and Oceanic Physics
Abstract

The mechanism by which the atmospheric boundary layer reduces the intensity of mid-latitude cyclones is investigated. It is demonstrated that two alternative theories, Ekman pumping and the baroclinic potential vorticity (PV) mechanism, in fact act in union to maximize the spin-down. Ekman pumping aids the ventilation of PV from the boundary layer, and shapes the resulting PV anomaly into one of increased static stability. PV inversion techniques are used to demonstrate how this anomaly reduces the coupling between the upper- and lower-levels within the cyclone, reducing the growth rate.

Published
2015

24. Moisture transport in mid-latitude cyclones

Author

Boutle, I. A., Belcher, S. E., and Plant, R. S.

Subjects
Computer Science::Computational Engineering, Finance, and Science, Physics::Atmospheric and Oceanic Physics, Physics::Geophysics
Abstract

We discuss how synoptic-scale variability controls the transport of atmospheric water vapour by mid-latitude cyclones. Idealised simulations are used to investigate quantitatively what factors determine the magnitude of cyclone moisture transport. It is demonstrated that large-scale ascent on the warmconveyor belt and shallow cumulus convection are equally important for ventilating moisture from the boundary layer into the free troposphere, and that ventilated moisture can be transported large distances eastwards and polewards by the cyclone, before being returned to the surface as precipitation. The initial relative humidity is shown to have little affect on the ability of the cyclone to transport moisture, whilst the absolute temperature and meridional temperature gradient provide much stronger controls. Scaling arguments are presented to quantify the dependence of moisture transport on large-scale and boundary-layer parameters. It is shown that ventilation by shallow convection and warm-conveyor belt advection vary in the same way with changes to large-scale parameters. However, shallow convective ventilation has a much stronger dependence on boundary-layer parameters than warm-conveyor belt ventilation.

Published
2011

30. The Met Office Unified Model Global Atmosphere 4.0 and JULES Global Land 4.0 configurations

Author

Walters, D. N., primary, Williams, K. D., additional, Boutle, I. A., additional, Bushell, A. C., additional, Edwards, J. M., additional, Field, P. R., additional, Lock, A. P., additional, Morcrette, C. J., additional, Stratton, R. A., additional, Wilkinson, J. M., additional, Willett, M. R., additional, Bellouin, N., additional, Bodas-Salcedo, A., additional, Brooks, M. E., additional, Copsey, D., additional, Earnshaw, P. D., additional, Hardiman, S. C., additional, Harris, C. M., additional, Levine, R. C., additional, MacLachlan, C., additional, Manners, J. C., additional, Martin, G. M., additional, Milton, S. F., additional, Palmer, M. D., additional, Roberts, M. J., additional, Rodríguez, J. M., additional, Tennant, W. J., additional, and Vidale, P. L., additional

Published
2014
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31. Supplementary material to "The Met Office Unified Model Global Atmosphere 4.0 and JULES Global Land 4.0 configurations"

Author

Walters, D. N., primary, Williams, K. D., additional, Boutle, I. A., additional, Bushell, A. C., additional, Edwards, J. M., additional, Field, P. R., additional, Lock, A. P., additional, Morcrette, C. J., additional, Stratton, R. A., additional, Wilkinson, J. M., additional, Willett, M. R., additional, Bellouin, N., additional, Bodas-Salcedo, A., additional, Brooks, M. E., additional, Copsey, D., additional, Earnshaw, P. D., additional, Hardiman, S. C., additional, Harris, C. M., additional, Levine, R. C., additional, MacLachlan, C., additional, Manners, J. C., additional, Martin, G. M., additional, Milton, S. F., additional, Palmer, M. D., additional, Roberts, M. J., additional, Rodríguez, J. M., additional, Tennant, W. J., additional, and Vidale, P. L., additional

Published
2013
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32. The Met Office Unified Model Global Atmosphere 4.0 and JULES Global Land 4.0 configurations

Author

Walters, D. N., primary, Williams, K. D., additional, Boutle, I. A., additional, Bushell, A. C., additional, Edwards, J. M., additional, Field, P. R., additional, Lock, A. P., additional, Morcrette, C. J., additional, Stratton, R. A., additional, Wilkinson, J. M., additional, Willett, M. R., additional, Bellouin, N., additional, Bodas-Salcedo, A., additional, Brooks, M. E., additional, Copsey, D., additional, Earnshaw, P. D., additional, Hardiman, S. C., additional, Harris, C. M., additional, Levine, R. C., additional, MacLachlan, C., additional, Manners, J. C., additional, Martin, G. M., additional, Milton, S. F., additional, Palmer, M. D., additional, Roberts, M. J., additional, Rodríguez, J. M., additional, Tennant, W. J., additional, and Vidale, P. L., additional

Published
2013
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34. The London Model: forecasting fog at 333 m resolution.

Author

Boutle, I. A., Finnenkoetter, A., Lock, A. P., and Wells, H.

Subjects
*ATMOSPHERIC models, *ATMOSPHERIC turbulence, *ATMOSPHERIC boundary layer, *PARAMETERIZATION, *COMPUTER simulation of weather forecasting
Abstract

A very high resolution numerical weather prediction model is nested inside the Met Office's main United Kingdom forecast model to investigate whether further enhancements to resolution provide any benefit for fog forecasting. The London Model shows similar performance to its lower resolution equivalent at short lead times, but improved performance at longer lead times and an improved frequency bias of forecast fog events. Differences in the model cloud parametrization are the key reason for the differing behaviour, leading to systematically less cloud, colder night time minimum temperatures and therefore more fog in the London Model. Benefit of the enhanced resolution is also found, via an improved representation of how orographic variability enhances turbulence in the stable boundary layer. [ABSTRACT FROM AUTHOR]

Published
2016
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35. A Physically Based Subgrid Parameterization for the Production and Maintenance of Mixed-Phase Clouds in a General Circulation Model.

Author

Furtado, K., Field, P. R., Boutle, I. A., Morcrette, C. J., and Wilkinson, J. M.

Subjects
MATHEMATICAL models of turbulence, CLOUDS, EDDIES, ATMOSPHERIC circulation, MARINE ecology
Abstract

A physically based method for parameterizing the role of subgrid-scale turbulence in the production and maintenance of supercooled liquid water and mixed-phase clouds is presented. The approach used is to simplify the dynamics of supersaturation fluctuations to a stochastic differential equation that can be solved analytically, giving increments to the prognostic liquid cloud fraction and liquid water content fields in a general circulation model (GCM). Elsewhere, it has been demonstrated that the approach captures the properties of decameter-resolution large-eddy simulations of a turbulent mixed-phase environment. In this paper, it is shown that it can be implemented in a GCM, and the effects that this has on Southern Ocean biases and on Arctic stratus are investigated. [ABSTRACT FROM AUTHOR]

Published
2016
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39. The Met Office Unified Model Global Atmosphere 3.0/3.1 and JULES Global Land 3.0/3.1 configurations

Author

Walters, D. N., primary, Best, M. J., additional, Bushell, A. C., additional, Copsey, D., additional, Edwards, J. M., additional, Falloon, P. D., additional, Harris, C. M., additional, Lock, A. P., additional, Manners, J. C., additional, Morcrette, C. J., additional, Roberts, M. J., additional, Stratton, R. A., additional, Webster, S., additional, Wilkinson, J. M., additional, Willett, M. R., additional, Boutle, I. A., additional, Earnshaw, P. D., additional, Hill, P. G., additional, MacLachlan, C., additional, Martin, G. M., additional, Moufouma-Okia, W., additional, Palmer, M. D., additional, Petch, J. C., additional, Rooney, G. G., additional, Scaife, A. A., additional, and Williams, K. D., additional

Published
2011
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44. Spatial variability of liquid cloud and rain: observations and microphysical effects.

Author

Boutle, I. A., Abel, S. J., Hill, P. G., and Morcrette, C. J.

Subjects
*RAINFALL anomalies, *MICROPHYSICS, *RAINWATER, *REMOTE sensing, *LIDAR
Abstract

Spatial variability of liquid cloud water content and rainwater content is analysed from three different observational platforms: in situ measurements from research aircraft, land-based remote sensing techniques using radar and lidar, and spaceborne remote sensing from CloudSat. The variance is found to increase with spatial scale, but also depends strongly on the cloud or rain fraction regime, with overcast regions containing less variability than broken cloud fields. This variability is shown to lead to large biases, up to a factor of 4, in both the autoconversion and accretion rates estimated at a model grid scale of ≈︁40 km by a typical microphysical parametrization using in-cloud mean values. A parametrization for the subgrid variability of liquid cloud and rainwater content is developed, based on the observations, which varies with both the grid scale and cloud or rain fraction, and is applicable for all model grid scales. It is then shown that if this parametrization of the variability is analytically incorporated into the autoconversion and accretion rate calculations, the bias is significantly reduced. [ABSTRACT FROM AUTHOR]

Published
2014
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45. Developing a Research Strategy to Better Understand, Observe, and Simulate Urban Atmospheric Processes at Kilometer to Subkilometer Scales

Author

James A. Voogt, Peter Clark, N.E. Theeuwes, Krzysztof Fortuniak, Janet F. Barlow, Christos Halios, Silvana Di Sabatino, Junxia Dou, K. Heinke Schlünzen, Sue Grimmond, Albert A. M. Holtslag, Jian Zhong, Xiaoming Cai, Humphrey Lean, Helen C. Ward, Matteo Carpentieri, Gerald Mills, Stefan Emeis, Susan P. Ballard, Omduth Coceal, Alberto Martilli, Mathias W. Rotach, Jemma Gornall, John M. Edwards, David J. Thomson, Sylvia I. Bohnenstengel, Joachim Fallmann, Ian A. Boutle, Zheng-Tong Xie, Daniel R. Drew, Ting Sun, Aude Lemonsu, Stefan Smith, Ben Crawford, Kohin Hirano, Gert-Jan Steeneveld, Tobias Gronemeier, Kathy Pain, Denise Hertwig, Zhiwen Luo, Lionel Soulhac, Ian N. Harman, Eric R. Pardyjak, Martin Best, Martial Haeffelin, Andrew Brown, Makoto Nakayoshi, Andreas Christen, Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École des Ponts ParisTech (ENPC)-École polytechnique (X)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Oceans and Atmosphere, CSIRO, Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Dipartimento di Scienze e Tecnologie Biologiche e Ambientali (DiSTeBA), Università del Salento [Lecce], Royal Holloway [University of London] (RHUL), Department of Geography [Loughborough], Loughborough University, Laboratoire de Mecanique des Fluides et d'Acoustique (LMFA), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), LAB'URBA (LAB'URBA), Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Optoelectronics Research Center, University of Southampton, Imperial College London, Computer Science and Information Technology, Royal Melbourne Institute of Technology University (RMIT University), Barlow J., Best M., Bohnenstengel S.I., Clark P., Grimmond S, Lean H., Christen A., Emeis S., Haeffelin M., Harman I.N., Lemonsu A., Martilli A., Pardyjak E., Rotach M.W., Ballard S., Boutle I., Brown A., Cai X., Carpentieri M., Coceal O., Crawford B., Di Sabatino S., Dou J., Drew D.R., Edwards J.M., Fallmann J., Fortuniak K., Gornall J., Gronemeier T., Halios C.H., Hertwig D., Hirano K., Holtslag A.A.M., Luo Z., Mills G., Nakayoshi M., Pain K., Schlünzen K.H., Smith S., Soulhac L., Steeneveld G.-J., Sun T., Theeuwes N.E., Thomson D., Voogt J.A., Ward H.C., Xie Z.-T., Zhong J., University of Reading (UOR), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Groupe d'étude de l'atmosphère météorologique (CNRM-GAME), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS), Department of Environment [CIEMAT Madrid], Centro de Investigaciones Energéticas Medioambientales y Tecnológicas [Madrid] (CIEMAT), EnFlo Laboratory, University of Surrey (UNIS), Department of Meteorology, University of Reading, Reading, UK, Department of Meteorology and Climatology [Łódz ́], University of Lódź, University College Dublin [Dublin] (UCD), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), BorgWarner Wrexham Ltd., Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Paris (ENS Paris)-École normale supérieure - Paris (ENS Paris), Météo France-Centre National de la Recherche Scientifique (CNRS), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), and Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)

Subjects
Meteorologie en Luchtkwaliteit, [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], Atmospheric Science, Engineering, WIMEK, 010504 meteorology & atmospheric sciences, Operations research, Meteorology and Air Quality, business.industry, Environmental resource management, International community, Weather and climate, 010501 environmental sciences, [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology, 01 natural sciences, 13. Climate action, Kilometer, Research council, Life Science, Meteorology & Atmospheric Sciences, business, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences
Abstract

A Met Office/Natural Environment Research Council Joint Weather and Climate Research Programme workshop brought together 50 key international scientists from the UK and international community to formulate the key requirements for an Urban Meteorological Research strategy. The workshop was jointly organised by University of Reading and the Met Office.

Published
2017

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